# Text to Speech Voices

## Definitions

Sinch Integrate with multiple voice providers, different providers use different voice models, which provide different voice quality at different costs.

New providers may be **added** without notice, but with no impact on existing voices and consequently no impact on voices already in use by our customers.

### Our Models

| Standard - (Free voice) | Generative - (Paid voice) |
|  --- | --- |
| SSML support | SSML support |
| Most basic TTS model | Much more expressive and emotional |
| Limited expressiveness (emotion, spontaneity) | Can vary tone, rhythm, and personality |
| Natural‑sounding, but still “TTS‑like” | Higher audio resolution (cleaner, richer sound) |
| Natural pauses and emphasis | More realistic timbre |


## Currently Available Languages

| # | Language variants | [**Sinch Voice Names**](/docs/voice/api-reference/svaml#messages) | Gender | Voice Models | Multilingual | Regional availability |
|  --- | --- | --- | --- | --- | --- | --- |
| 001 | Afrikaans (South Africa) | Adri | Female | Standard | No | AU - BR - EU - SG - US |
| 002 | Afrikaans (South Africa) | Willem | Male | Standard | No | AU - BR - EU - SG - US |
| 003 | Albanian (Albania) | Anila | Female | Standard | No | AU - BR - EU - SG - US |
| 004 | Albanian (Albania) | Ilir | Male | Standard | No | AU - BR - EU - SG - US |
| 005 | Amharic (Ethiopia) | Ameha | Male | Standard | No | AU - BR - EU - SG - US |
| 006 | Amharic (Ethiopia) | Mekdes | Female | Standard | No | AU - BR - EU - SG - US |
| 007 | Arabic (Algeria) | Amina | Female | Standard | No | AU - BR - EU - SG - US |
| 008 | Arabic (Algeria) | Ismael | Male | Standard | No | AU - BR - EU - SG - US |
| 009 | Arabic (Bahrain) | Ali | Male | Standard | No | AU - BR - EU - SG - US |
| 010 | Arabic (Bahrain) | Laila | Female | Standard | No | AU - BR - EU - SG - US |
| 011 | Arabic (Egypt) | Salma | Female | Standard | No | AU - BR - EU - SG - US |
| 012 | Arabic (Egypt) | Shakir | Male | Standard | No | AU - BR - EU - SG - US |
| 013 | Arabic (Iraq) | Bassel | Male | Standard | No | AU - BR - EU - SG - US |
| 014 | Arabic (Iraq) | Rana | Female | Standard | No | AU - BR - EU - SG - US |
| 015 | Arabic (Jordan) | Sana | Female | Standard | No | AU - BR - EU - SG - US |
| 016 | Arabic (Jordan) | Taim | Male | Standard | No | AU - BR - EU - SG - US |
| 017 | Arabic (Kuwait) | Fahed | Male | Standard | No | AU - BR - EU - SG - US |
| 018 | Arabic (Kuwait) | Noura | Female | Standard | No | AU - BR - EU - SG - US |
| 019 | Arabic (Lebanon) | Layla | Female | Standard | No | AU - BR - EU - SG - US |
| 020 | Arabic (Lebanon) | Rami | Male | Standard | No | AU - BR - EU - SG - US |
| 021 | Arabic (Libya) | Iman | Female | Standard | No | AU - BR - EU - SG - US |
| 022 | Arabic (Libya) | Omar | Male | Standard | No | AU - BR - EU - SG - US |
| 023 | Arabic (Morocco) | Jamal | Male | Standard | No | AU - BR - EU - SG - US |
| 024 | Arabic (Morocco) | Mouna | Female | Standard | No | AU - BR - EU - SG - US |
| 025 | Arabic (Oman) | Abdullah | Male | Standard | No | AU - BR - EU - SG - US |
| 026 | Arabic (Oman) | Aysha | Female | Standard | No | AU - BR - EU - SG - US |
| 027 | Arabic (Qatar) | Amal | Female | Standard | No | AU - BR - EU - SG - US |
| 028 | Arabic (Qatar) | Moaz | Male | Standard | No | AU - BR - EU - SG - US |
| 029 | Arabic (Saudi Arabia) | Hamed | Male | Standard | No | AU - BR - EU - SG - US |
| 030 | Arabic (Saudi Arabia) | Zariyah | Female | Standard | No | AU - BR - EU - SG - US |
| 031 | Arabic (Saudi Arabia) | Zeina | Female | Standard | No | AU - BR - EU - SG - US |
| 032 | Arabic (Saudi Arabia) | Hala | Female | Standard | Yes | AU - BR - EU - SG - US |
| 033 | Arabic (Saudi Arabia) | Zayd | Male | Standard | Yes | AU - BR - EU - SG - US |
| 034 | Arabic (Syria) | Amany | Female | Standard | No | AU - BR - EU - SG - US |
| 035 | Arabic (Syria) | Laith | Male | Standard | No | AU - BR - EU - SG - US |
| 036 | Arabic (Tunisia) | Hedi | Male | Standard | No | AU - BR - EU - SG - US |
| 037 | Arabic (Tunisia) | Reem | Female | Standard | No | AU - BR - EU - SG - US |
| 038 | Arabic (United Arab Emirates) | Fatima | Female | Standard | No | AU - BR - EU - SG - US |
| 039 | Arabic (United Arab Emirates) | Hamdan | Male | Standard | No | AU - BR - EU - SG - US |
| 040 | Arabic (Yemen) | Maryam | Female | Standard | No | AU - BR - EU - SG - US |
| 041 | Arabic (Yemen) | Saleh | Male | Standard | No | AU - BR - EU - SG - US |
| 042 | Armenian (Armenia) | Anahit | Female | Standard | No | AU - BR - EU - SG - US |
| 043 | Armenian (Armenia) | Hayk | Male | Standard | No | AU - BR - EU - SG - US |
| 044 | Assamese (India) | Priyom | Male | Standard | No | AU - BR - EU - SG - US |
| 045 | Assamese (India) | Yashica | Female | Standard | No | AU - BR - EU - SG - US |
| 046 | Azerbaijani (Latin, Azerbaijan) | Babek | Male | Standard | No | AU - BR - EU - SG - US |
| 047 | Azerbaijani (Latin, Azerbaijan) | Banu | Female | Standard | No | AU - BR - EU - SG - US |
| 048 | Bangla (Bangladesh) | Nabanita | Female | Standard | No | AU - BR - EU - SG - US |
| 049 | Bangla (Bangladesh) | Pradeep | Male | Standard | No | AU - BR - EU - SG - US |
| 050 | Basque | Ainhoa | Female | Standard | No | AU - BR - EU - SG - US |
| 051 | Basque | Ander | Male | Standard | No | AU - BR - EU - SG - US |
| 052 | Bengali (India) | Bashkar | Male | Standard | No | AU - BR - EU - SG - US |
| 053 | Bengali (India) | Tanishaa | Female | Standard | No | AU - BR - EU - SG - US |
| 054 | Bosnian (Bosnia and Herzegovina) | Goran | Male | Standard | No | AU - BR - EU - SG - US |
| 055 | Bosnian (Bosnia and Herzegovina) | Vesna | Female | Standard | No | AU - BR - EU - SG - US |
| 056 | Bulgarian (Bulgaria) | Borislav | Male | Standard | No | AU - BR - EU - SG - US |
| 057 | Bulgarian (Bulgaria) | Kalina | Female | Standard | No | AU - BR - EU - SG - US |
| 058 | Burmese (Myanmar) | Nilar | Female | Standard | No | AU - BR - EU - SG - US |
| 059 | Burmese (Myanmar) | Thiha | Male | Standard | No | AU - BR - EU - SG - US |
| 060 | Catalan | Alba | Female | Standard | No | AU - BR - EU - SG - US |
| 061 | Catalan | Enric | Male | Standard | No | AU - BR - EU - SG - US |
| 062 | Catalan | Joana | Female | Standard | No | AU - BR - EU - SG - US |
| 063 | Catalan | Arlet | Female | Standard | No | AU - BR - EU - SG - US |
| 064 | Chinese (Cantonese, Simplified) | XiaoMin | Female | Standard | No | AU - BR - EU - SG - US |
| 065 | Chinese (Cantonese, Simplified) | YunSong | Male | Standard | No | AU - BR - EU - SG - US |
| 066 | Chinese (Cantonese, Traditional) | HiuGaai | Female | Standard | No | AU - BR - EU - SG - US |
| 067 | Chinese (Cantonese, Traditional) | HiuMaan | Female | Standard | No | AU - BR - EU - SG - US |
| 068 | Chinese (Cantonese, Traditional) | WanLung | Male | Standard | No | AU - BR - EU - SG - US |
| 069 | Chinese (Cantonese) | Hiujin | Female | Standard | No | AU - BR - EU - SG - US |
| 070 | Chinese (Mandarin) | Zhiyu_2 | Female | Standard | No | AU - BR - EU - SG - US |
| 071 | Chinese (Mandarin) | Zhiyu | Female | Standard | No | AU - BR - EU - SG - US |
| 072 | Chinese (Jilu Mandarin, Simplified) | Yunxiang | Male | Standard | No | AU - BR - EU - SG - US |
| 073 | Chinese (Mandarin, Simplified) | Xiaochen_2 | Female | Standard | No | EU - SG - US |
| 074 | Chinese (Mandarin, Simplified) | Xiaochen_4 | Female | Generative | Yes | EU - US |
| 075 | Chinese (Mandarin, Simplified) | Xiaochen_3 | Female | Standard | Yes | AU - BR - EU - SG - US |
| 076 | Chinese (Mandarin, Simplified) | Xiaochen | Female | Standard | No | AU - BR - EU - SG - US |
| 077 | Chinese (Mandarin, Simplified) | Xiaohan_2 | Female | Standard | No | EU - SG - US |
| 078 | Chinese (Mandarin, Simplified) | Xiaohan | Female | Standard | No | AU - BR - EU - SG - US |
| 079 | Chinese (Mandarin, Simplified) | Xiaomeng | Female | Standard | No | AU - BR - EU - SG - US |
| 080 | Chinese (Mandarin, Simplified) | Xiaomo | Female | Standard | No | AU - BR - EU - SG - US |
| 081 | Chinese (Mandarin, Simplified) | Xiaoqiu | Female | Standard | No | AU - BR - EU - SG - US |
| 082 | Chinese (Mandarin, Simplified) | Xiaorou | Female | Standard | No | AU - BR - EU - SG - US |
| 083 | Chinese (Mandarin, Simplified) | Xiaorui | Female | Standard | No | AU - BR - EU - SG - US |
| 084 | Chinese (Mandarin, Simplified) | Xiaoshuang_3 | Female | Standard | No | EU - SG - US |
| 085 | Chinese (Mandarin, Simplified) | Xiaoshuang | Female | Standard | Yes | AU - BR - EU - SG - US |
| 086 | Chinese (Mandarin, Simplified) | Xiaoshuang_2 | Female | Standard | No | AU - BR - EU - SG - US |
| 087 | Chinese (Mandarin, Simplified) | Xiaoxiao_4 | Female | Standard | No | EU - SG - US |
| 088 | Chinese (Mandarin, Simplified) | Xiaoxiao_5 | Female | Standard | No | EU - SG - US |
| 089 | Chinese (Mandarin, Simplified) | Xiaoxiao_3 | Female | Standard | Yes | AU - BR - EU - SG - US |
| 090 | Chinese (Mandarin, Simplified) | Xiaoxiao | Female | Standard | Yes | AU - BR - EU - SG - US |
| 091 | Chinese (Mandarin, Simplified) | Xiaoxiao_2 | Female | Standard | No | AU - BR - EU - SG - US |
| 092 | Chinese (Mandarin, Simplified) | Xiaoyan | Female | Standard | No | AU - BR - EU - SG - US |
| 093 | Chinese (Mandarin, Simplified) | Xiaoyi_2 | Female | Standard | No | EU - SG - US |
| 094 | Chinese (Mandarin, Simplified) | Xiaoyi | Female | Standard | No | AU - BR - EU - SG - US |
| 095 | Chinese (Mandarin, Simplified) | Xiaoyou_3 | Female | Standard | No | EU - SG - US |
| 096 | Chinese (Mandarin, Simplified) | Xiaoyou | Female | Standard | Yes | AU - BR - EU - SG - US |
| 097 | Chinese (Mandarin, Simplified) | Xiaoyou_2 | Female | Standard | No | AU - BR - EU - SG - US |
| 098 | Chinese (Mandarin, Simplified) | Xiaoyu_2 | Female | Standard | No | EU - SG - US |
| 099 | Chinese (Mandarin, Simplified) | Xiaoyu | Female | Standard | Yes | AU - BR - EU - SG - US |
| 100 | Chinese (Mandarin, Simplified) | Xiaozhen | Female | Standard | No | AU - BR - EU - SG - US |
| 101 | Chinese (Mandarin, Simplified) | Yunfan_2 | Male | Generative | Yes | EU - US |
| 102 | Chinese (Mandarin, Simplified) | Yunfan | Male | Standard | Yes | AU - BR - EU - SG - US |
| 103 | Chinese (Mandarin, Simplified) | Yunfeng | Male | Standard | No | AU - BR - EU - SG - US |
| 104 | Chinese (Mandarin, Simplified) | Yunhan | Male | Standard | No | EU - SG - US |
| 105 | Chinese (Mandarin, Simplified) | Yunhao | Male | Standard | No | AU - BR - EU - SG - US |
| 106 | Chinese (Mandarin, Simplified) | Yunjian | Male | Standard | No | AU - BR - EU - SG - US |
| 107 | Chinese (Mandarin, Simplified) | Yunjie | Male | Standard | No | AU - BR - EU - SG - US |
| 108 | Chinese (Mandarin, Simplified) | Yunxi_2 | Male | Standard | No | EU - SG - US |
| 109 | Chinese (Mandarin, Simplified) | Yunxia_2 | Male | Standard | No | EU - SG - US |
| 110 | Chinese (Mandarin, Simplified) | Yunxia | Male | Standard | No | AU - BR - EU - SG - US |
| 111 | Chinese (Mandarin, Simplified) | Yunxiao_2 | Male | Standard | No | EU - SG - US |
| 112 | Chinese (Mandarin, Simplified) | Yunxiao | Male | Standard | Yes | AU - BR - EU - SG - US |
| 113 | Chinese (Mandarin, Simplified) | Yunxi | Male | Standard | No | AU - BR - EU - SG - US |
| 114 | Chinese (Mandarin, Simplified) | Yunyang | Male | Standard | No | AU - BR - EU - SG - US |
| 115 | Chinese (Mandarin, Simplified) | Yunye_2 | Male | Standard | No | EU - SG - US |
| 116 | Chinese (Mandarin, Simplified) | Yunye | Male | Standard | No | AU - BR - EU - SG - US |
| 117 | Chinese (Mandarin, Simplified) | Yunyi_2 | Male | Standard | No | EU - SG - US |
| 118 | Chinese (Mandarin, Simplified) | Yunyi | Male | Standard | Yes | AU - BR - EU - SG - US |
| 119 | Chinese (Mandarin, Simplified) | Yunze | Male | Standard | No | AU - BR - EU - SG - US |
| 120 | Chinese (Taiwanese Mandarin, Traditional) | HsiaoChen | Female | Standard | No | AU - BR - EU - SG - US |
| 121 | Chinese (Taiwanese Mandarin, Traditional) | HsiaoYu | Female | Standard | No | AU - BR - EU - SG - US |
| 122 | Chinese (Taiwanese Mandarin, Traditional) | YunJhe | Male | Standard | No | AU - BR - EU - SG - US |
| 123 | Chinese (Wu, Simplified) | Xiaotong | Female | Standard | No | AU - BR - EU - SG - US |
| 124 | Chinese (Wu, Simplified) | Yunzhe | Male | Standard | No | AU - BR - EU - SG - US |
| 125 | Chinese (Zhongyuan Mandarin Henan, Simplified) | Yundeng | Male | Standard | No | AU - BR - EU - SG - US |
| 126 | Croatian (Croatia) | Gabrijela | Female | Standard | No | AU - BR - EU - SG - US |
| 127 | Croatian (Croatia) | Srecko | Male | Standard | No | AU - BR - EU - SG - US |
| 128 | Czech (Czechia) | Antonin | Male | Standard | No | AU - BR - EU - SG - US |
| 129 | Czech (Czechia) | Vlasta | Female | Standard | No | AU - BR - EU - SG - US |
| 130 | Czech (Czechia) | Jitka | Female | Standard | No | AU - BR - EU - SG - US |
| 131 | Danish (Denmark) | Christel | Female | Standard | No | AU - BR - EU - SG - US |
| 132 | Danish (Denmark) | Jeppe | Male | Standard | No | AU - BR - EU - SG - US |
| 133 | Danish (Denmark) | Mads | Male | Standard | No | AU - BR - EU - SG - US |
| 134 | Danish (Denmark) | Naja | Female | Standard | No | AU - BR - EU - SG - US |
| 135 | Danish (Denmark) | Soffie | Female | Standard | No | AU - BR - EU - SG - US |
| 136 | Dutch (Belgium) | Arnaud | Male | Standard | No | AU - BR - EU - SG - US |
| 137 | Dutch (Belgium) | Dena | Female | Standard | No | AU - BR - EU - SG - US |
| 138 | Dutch (Belgium) | Lisa_2 | Female | Generative | No | AU - BR - EU - SG - US |
| 139 | Dutch (Belgium) | Lisa | Female | Standard | No | AU - BR - EU - SG - US |
| 140 | Dutch (Netherlands) | Colette | Female | Standard | No | AU - BR - EU - SG - US |
| 141 | Dutch (Netherlands) | Fenna | Female | Standard | No | AU - BR - EU - SG - US |
| 142 | Dutch (Netherlands) | Maarten | Male | Standard | No | AU - BR - EU - SG - US |
| 143 | Dutch (Netherlands) | Ruben | Male | Standard | No | AU - BR - EU - SG - US |
| 144 | Dutch (Netherlands) | Lotte | Female | Standard | No | AU - BR - EU - SG - US |
| 145 | Dutch (Netherlands) | Laura_2 | Female | Generative | No | AU - BR - EU - SG - US |
| 146 | Dutch (Netherlands) | Laura | Female | Standard | No | AU - BR - EU - SG - US |
| 147 | English (Australia) | Annette | Female | Standard | No | AU - BR - EU - SG - US |
| 148 | English (Australia) | Carly | Female | Standard | No | AU - BR - EU - SG - US |
| 149 | English (Australia) | Darren | Male | Standard | No | AU - BR - EU - SG - US |
| 150 | English (Australia) | Duncan | Male | Standard | No | AU - BR - EU - SG - US |
| 151 | English (Australia) | Elsie | Female | Standard | No | AU - BR - EU - SG - US |
| 152 | English (Australia) | Freya | Female | Standard | No | AU - BR - EU - SG - US |
| 153 | English (Australia) | Joanne | Female | Standard | No | AU - BR - EU - SG - US |
| 154 | English (Australia) | Ken | Male | Standard | No | AU - BR - EU - SG - US |
| 155 | English (Australia) | Kim | Female | Standard | No | AU - BR - EU - SG - US |
| 156 | English (Australia) | Natasha | Female | Standard | No | AU - BR - EU - SG - US |
| 157 | English (Australia) | Neil | Male | Standard | No | AU - BR - EU - SG - US |
| 158 | English (Australia) | Tim | Male | Standard | No | AU - BR - EU - SG - US |
| 159 | English (Australia) | Tina | Female | Standard | No | AU - BR - EU - SG - US |
| 160 | English (Australia) | William | Male | Standard | Yes | AU - BR - EU - SG - US |
| 161 | English (Australia) | William_2 | Male | Standard | No | AU - BR - EU - SG - US |
| 162 | English (Australia) | Russell | Male | Standard | No | AU - BR - EU - SG - US |
| 163 | English (Australia) | Nicole | Female | Standard | No | AU - BR - EU - SG - US |
| 164 | English (Australia) | Livia_2 | Female | Generative | No | AU - BR - EU - SG - US |
| 165 | English (Australia) | Livia | Female | Standard | No | AU - BR - EU - SG - US |
| 166 | English (Canada) | Clara | Female | Standard | No | AU - BR - EU - SG - US |
| 167 | English (Canada) | Liam | Male | Standard | No | AU - BR - EU - SG - US |
| 168 | English (Hong Kong SAR) | Sam | Male | Standard | No | AU - BR - EU - SG - US |
| 169 | English (Hong Kong SAR) | Yan | Female | Standard | No | AU - BR - EU - SG - US |
| 170 | English (India) | Aarav_2 | Male | Standard | No | AU - BR - EU - SG - US |
| 171 | English (India) | Aarti_2 | Female | Standard | No | AU - BR - EU - SG - US |
| 172 | English (India) | Aarti_3 | Female | Standard | No | AU - BR - EU - SG - US |
| 173 | English (India) | Aashi | Female | Standard | No | AU - BR - EU - SG - US |
| 174 | English (India) | Ananya_2 | Female | Standard | No | AU - BR - EU - SG - US |
| 175 | English (India) | Arjun_2 | Male | Standard | Yes | AU - BR - EU - SG - US |
| 176 | English (India) | Arjun | Male | Standard | No | AU - BR - EU - SG - US |
| 177 | English (India) | Kavya_2 | Female | Standard | No | AU - BR - EU - SG - US |
| 178 | English (India) | Kunal_2 | Male | Standard | No | AU - BR - EU - SG - US |
| 179 | English (India) | Neerja_2 | Female | Standard | Yes | AU - BR - EU - SG - US |
| 180 | English (India) | Neerja | Female | Standard | No | AU - BR - EU - SG - US |
| 181 | English (India) | Prabhat_2 | Male | Standard | Yes | AU - BR - EU - SG - US |
| 182 | English (India) | Prabhat | Male | Standard | No | AU - BR - EU - SG - US |
| 183 | English (India) | Rehaan_2 | Male | Standard | No | AU - BR - EU - SG - US |
| 184 | English (India) | Raveena | Female | Standard | No | AU - BR - EU - SG - US |
| 185 | English (India) | Aditi | Female | Standard | Yes | AU - BR - EU - SG - US |
| 186 | English (India) | Kajal_2 | Female | Generative | Yes | AU - BR - EU - SG - US |
| 187 | English (India) | Kajal | Female | Standard | Yes | AU - BR - EU - SG - US |
| 188 | English (Ireland) | Connor | Male | Standard | No | AU - BR - EU - SG - US |
| 189 | English (Ireland) | Emily | Female | Standard | No | AU - BR - EU - SG - US |
| 190 | English (Ireland) | Niamh_2 | Female | Generative | No | AU - BR - EU - SG - US |
| 191 | English (Ireland) | Niamh | Female | Standard | No | AU - BR - EU - SG - US |
| 192 | English (Kenya) | Asilia | Female | Standard | No | AU - BR - EU - SG - US |
| 193 | English (Kenya) | Chilemba | Male | Standard | No | AU - BR - EU - SG - US |
| 194 | English (New Zealand) | Mitchell | Male | Standard | No | AU - BR - EU - SG - US |
| 195 | English (New Zealand) | Molly | Female | Standard | No | AU - BR - EU - SG - US |
| 196 | English (New Zealand) | Arya_2 | Female | Generative | No | AU - BR - EU - SG - US |
| 197 | English (New Zealand) | Arya | Female | Standard | No | AU - BR - EU - SG - US |
| 198 | English (Nigeria) | Abeo | Male | Standard | No | AU - BR - EU - SG - US |
| 199 | English (Nigeria) | Ezinne | Female | Standard | No | AU - BR - EU - SG - US |
| 200 | English (Philippines) | James | Male | Standard | No | AU - BR - EU - SG - US |
| 201 | English (Philippines) | Rosa | Female | Standard | No | AU - BR - EU - SG - US |
| 202 | English (Singapore) | Luna | Female | Standard | No | AU - BR - EU - SG - US |
| 203 | English (Singapore) | Wayne | Male | Standard | No | AU - BR - EU - SG - US |
| 204 | English (Singapore) | Jasmine_2 | Female | Generative | No | AU - BR - EU - SG - US |
| 205 | English (Singapore) | Jasmine | Female | Standard | No | AU - BR - EU - SG - US |
| 206 | English (South Africa) | Leah | Female | Standard | No | AU - BR - EU - SG - US |
| 207 | English (South Africa) | Luke | Male | Standard | No | AU - BR - EU - SG - US |
| 208 | English (South Africa) | Ayanda_2 | Female | Generative | No | AU - BR - EU - SG - US |
| 209 | English (South Africa) | Ayanda | Female | Standard | No | AU - BR - EU - SG - US |
| 210 | English (Tanzania) | Elimu | Male | Standard | No | AU - BR - EU - SG - US |
| 211 | English (Tanzania) | Imani | Female | Standard | No | AU - BR - EU - SG - US |
| 212 | English (United Kingdom) | Abbi | Female | Standard | No | AU - BR - EU - SG - US |
| 213 | English (United Kingdom) | Ada_2 | Female | Generative | Yes | EU - US |
| 214 | English (United Kingdom) | Ada | Female | Standard | Yes | AU - BR - EU - SG - US |
| 215 | English (United Kingdom) | Alfie | Male | Standard | No | AU - BR - EU - SG - US |
| 216 | English (United Kingdom) | Bella | Female | Standard | No | AU - BR - EU - SG - US |
| 217 | English (United Kingdom) | Elliot | Male | Standard | No | AU - BR - EU - SG - US |
| 218 | English (United Kingdom) | Ethan | Male | Standard | No | AU - BR - EU - SG - US |
| 219 | English (United Kingdom) | Hollie | Female | Standard | No | AU - BR - EU - SG - US |
| 220 | English (United Kingdom) | Libby | Female | Standard | No | AU - BR - EU - SG - US |
| 221 | English (United Kingdom) | Maisie | Female | Standard | No | AU - BR - EU - SG - US |
| 222 | English (United Kingdom) | Noah | Male | Standard | No | AU - BR - EU - SG - US |
| 223 | English (United Kingdom) | Oliver | Male | Standard | No | AU - BR - EU - SG - US |
| 224 | English (United Kingdom) | Olivia | Female | Standard | No | AU - BR - EU - SG - US |
| 225 | English (United Kingdom) | Ollie_2 | Male | Generative | Yes | EU - US |
| 226 | English (United Kingdom) | Ollie | Male | Standard | Yes | AU - BR - EU - SG - US |
| 227 | English (United Kingdom) | Ryan_2 | Male | Standard | No | AU - BR - EU - SG - US |
| 228 | English (United Kingdom) | Sonia | Female | Standard | No | AU - BR - EU - SG - US |
| 229 | English (United Kingdom) | Thomas | Male | Standard | No | AU - BR - EU - SG - US |
| 230 | English (United Kingdom) | Gemma_2 | Female | Standard | No | AU - BR - EU - SG - US |
| 231 | English (United Kingdom) | Gemma | Female | Standard | No | AU - BR - EU - SG - US |
| 232 | English (United Kingdom) | Bryan_3 | Male | Generative | No | AU - BR - EU - SG - US |
| 233 | English (United Kingdom) | Bryan_2 | Male | Standard | No | AU - BR - EU - SG - US |
| 234 | English (United Kingdom) | Bryan | Male | Standard | No | AU - BR - EU - SG - US |
| 235 | English (United Kingdom) | Amy_3 | Female | Generative | No | AU - BR - EU - SG - US |
| 236 | English (United Kingdom) | Amy_2 | Female | Standard | No | AU - BR - EU - SG - US |
| 237 | English (United Kingdom) | Amy | Female | Standard | No | AU - BR - EU - SG - US |
| 238 | English (United Kingdom) | Arthur | Male | Standard | No | AU - BR - EU - SG - US |
| 239 | English (United States) | Adam_2 | Male | Generative | Yes | EU - US |
| 240 | English (United States) | Adam | Male | Standard | Yes | AU - BR - EU - SG - US |
| 241 | English (United States) | Alloy_2 | Male | Generative | Yes | EU - US |
| 242 | English (United States) | Alloy | Male | Standard | Yes | AU - BR - EU - SG - US |
| 243 | English (United States) | Amanda | Female | Standard | Yes | AU - BR - EU - SG - US |
| 244 | English (United States) | Amber | Female | Standard | No | AU - BR - EU - SG - US |
| 245 | English (United States) | Ana | Female | Standard | No | AU - BR - EU - SG - US |
| 246 | English (United States) | Andrew_3 | Male | Generative | Yes | EU - US |
| 247 | English (United States) | Andrew_4 | Male | Generative | Yes | EU - US |
| 248 | English (United States) | Andrew | Male | Standard | Yes | AU - BR - EU - SG - US |
| 249 | English (United States) | Andrew_2 | Male | Standard | No | AU - BR - EU - SG - US |
| 250 | English (United States) | Aria_2 | Female | Generative | Yes | EU - US |
| 251 | English (United States) | Aria | Female | Standard | No | AU - BR - EU - SG - US |
| 252 | English (United States) | Ashley | Female | Standard | No | AU - BR - EU - SG - US |
| 253 | English (United States) | Ava_3 | Female | Generative | Yes | EU - US |
| 254 | English (United States) | Ava | Female | Standard | Yes | AU - BR - EU - SG - US |
| 255 | English (United States) | Ava_2 | Female | Standard | No | AU - BR - EU - SG - US |
| 256 | English (United States) | Brandon | Male | Standard | Yes | AU - BR - EU - SG - US |
| 257 | English (United States) | Brandon_2 | Male | Standard | No | AU - BR - EU - SG - US |
| 258 | English (United States) | Bree | Female | Generative | Yes | EU - US |
| 259 | English (United States) | Brian_3 | Male | Generative | Yes | EU - US |
| 260 | English (United States) | Brian | Male | Standard | Yes | AU - BR - EU - SG - US |
| 261 | English (United States) | Brian_2 | Male | Standard | No | AU - BR - EU - SG - US |
| 262 | English (United States) | Christopher | Male | Standard | Yes | AU - BR - EU - SG - US |
| 263 | English (United States) | Christopher_2 | Male | Standard | No | AU - BR - EU - SG - US |
| 264 | English (United States) | Cora | Female | Standard | Yes | AU - BR - EU - SG - US |
| 265 | English (United States) | Cora_2 | Female | Standard | No | AU - BR - EU - SG - US |
| 266 | English (United States) | Davis_3 | Male | Generative | Yes | EU - US |
| 267 | English (United States) | Davis | Male | Standard | Yes | AU - BR - EU - SG - US |
| 268 | English (United States) | Davis_2 | Male | Standard | No | AU - BR - EU - SG - US |
| 269 | English (United States) | Derek | Male | Standard | Yes | AU - BR - EU - SG - US |
| 270 | English (United States) | Dustin | Male | Standard | Yes | AU - BR - EU - SG - US |
| 271 | English (United States) | Echo | Male | Standard | Yes | AU - BR - EU - SG - US |
| 272 | English (United States) | Elizabeth | Female | Standard | No | AU - BR - EU - SG - US |
| 273 | English (United States) | Emma_3 | Female | Generative | Yes | EU - US |
| 274 | English (United States) | Emma_4 | Female | Generative | Yes | EU - US |
| 275 | English (United States) | Emma | Female | Standard | Yes | AU - BR - EU - SG - US |
| 276 | English (United States) | Emma_2 | Female | Standard | No | AU - BR - EU - SG - US |
| 277 | English (United States) | Eric | Male | Standard | No | AU - BR - EU - SG - US |
| 278 | English (United States) | Evelyn | Female | Standard | Yes | AU - BR - EU - SG - US |
| 279 | English (United States) | Fable | Neutral | Standard | Yes | AU - BR - EU - SG - US |
| 280 | English (United States) | Guy | Male | Standard | No | AU - BR - EU - SG - US |
| 281 | English (United States) | Jacob | Male | Standard | No | AU - BR - EU - SG - US |
| 282 | English (United States) | Jane_2 | Female | Generative | Yes | EU - US |
| 283 | English (United States) | Jane | Female | Standard | No | AU - BR - EU - SG - US |
| 284 | English (United States) | Jason | Male | Standard | No | AU - BR - EU - SG - US |
| 285 | English (United States) | Jenny_3 | Female | Generative | Yes | EU - US |
| 286 | English (United States) | Jenny | Female | Standard | Yes | AU - BR - EU - SG - US |
| 287 | English (United States) | Jenny_2 | Female | Standard | No | AU - BR - EU - SG - US |
| 288 | English (United States) | Jimmie | Male | Standard | No | EU - SG - US |
| 289 | English (United States) | Kai | Male | Standard | No | AU - BR - EU - SG - US |
| 290 | English (United States) | Lewis | Male | Standard | Yes | AU - BR - EU - SG - US |
| 291 | English (United States) | Lola | Female | Standard | Yes | AU - BR - EU - SG - US |
| 292 | English (United States) | Luna_2 | Female | Standard | No | AU - BR - EU - SG - US |
| 293 | English (United States) | Michelle | Female | Standard | No | AU - BR - EU - SG - US |
| 294 | English (United States) | Monica | Female | Standard | No | AU - BR - EU - SG - US |
| 295 | English (United States) | Nancy | Female | Standard | Yes | AU - BR - EU - SG - US |
| 296 | English (United States) | Nancy_2 | Female | Standard | No | AU - BR - EU - SG - US |
| 297 | English (United States) | Nova_2 | Female | Generative | Yes | EU - US |
| 298 | English (United States) | Nova | Female | Standard | Yes | AU - BR - EU - SG - US |
| 299 | English (United States) | Onyx | Male | Standard | Yes | AU - BR - EU - SG - US |
| 300 | English (United States) | Phoebe_2 | Female | Generative | Yes | EU - US |
| 301 | English (United States) | Phoebe | Female | Standard | Yes | AU - BR - EU - SG - US |
| 302 | English (United States) | Roger | Male | Standard | No | AU - BR - EU - SG - US |
| 303 | English (United States) | Ryan | Male | Standard | Yes | AU - BR - EU - SG - US |
| 304 | English (United States) | Samuel | Male | Standard | Yes | AU - BR - EU - SG - US |
| 305 | English (United States) | Sara | Female | Standard | No | AU - BR - EU - SG - US |
| 306 | English (United States) | Serena_2 | Female | Generative | Yes | EU - US |
| 307 | English (United States) | Serena | Female | Standard | Yes | AU - BR - EU - SG - US |
| 308 | English (United States) | Shimmer | Female | Standard | Yes | AU - BR - EU - SG - US |
| 309 | English (United States) | Steffan_3 | Male | Generative | Yes | EU - US |
| 310 | English (United States) | Steffan | Male | Standard | Yes | AU - BR - EU - SG - US |
| 311 | English (United States) | Steffan_2 | Male | Standard | No | AU - BR - EU - SG - US |
| 312 | English (United States) | Tiana | Female | Standard | No | EU - SG - US |
| 313 | English (United States) | Tony | Male | Standard | No | AU - BR - EU - SG - US |
| 314 | English (United States) | Tyler | Male | Standard | No | EU - SG - US |
| 315 | English (United States) | Danielle_2 | Female | Generative | No | AU - BR - EU - SG - US |
| 316 | English (United States) | Danielle | Female | Standard | No | AU - BR - EU - SG - US |
| 317 | English (United States) | Gregory | Male | Standard | No | AU - BR - EU - SG - US |
| 318 | English (United States) | Joanna_3 | Female | Generative | No | AU - BR - EU - SG - US |
| 319 | English (United States) | Joanna_2 | Female | Standard | No | AU - BR - EU - SG - US |
| 320 | English (United States) | Joanna | Female | Standard | No | AU - BR - EU - SG - US |
| 321 | English (United States) | Ruth_2 | Female | Generative | No | AU - BR - EU - SG - US |
| 322 | English (United States) | Ruth | Female | Standard | No | AU - BR - EU - SG - US |
| 323 | English (United States) | Kevin | Male | Standard | No | AU - BR - EU - SG - US |
| 324 | English (United States) | Salli_3 | Female | Generative | No | AU - BR - EU - SG - US |
| 325 | English (United States) | Salli_2 | Female | Standard | No | AU - BR - EU - SG - US |
| 326 | English (United States) | Salli | Female | Standard | No | AU - BR - EU - SG - US |
| 327 | English (United States) | Matthew_3 | Male | Generative | No | AU - BR - EU - SG - US |
| 328 | English (United States) | Matthew_2 | Male | Standard | No | AU - BR - EU - SG - US |
| 329 | English (United States) | Matthew | Male | Standard | No | AU - BR - EU - SG - US |
| 330 | English (United States) | Kimberly_2 | Female | Standard | No | AU - BR - EU - SG - US |
| 331 | English (United States) | Kimberly | Female | Standard | No | AU - BR - EU - SG - US |
| 332 | English (United States) | Kendra_2 | Female | Standard | No | AU - BR - EU - SG - US |
| 333 | English (United States) | Kendra | Female | Standard | No | AU - BR - EU - SG - US |
| 334 | English (United States) | Justin_2 | Male | Standard | No | AU - BR - EU - SG - US |
| 335 | English (United States) | Justin | Male | Standard | No | AU - BR - EU - SG - US |
| 336 | English (United States) | Joey_2 | Male | Standard | No | AU - BR - EU - SG - US |
| 337 | English (United States) | Joey | Male | Standard | No | AU - BR - EU - SG - US |
| 338 | English (United States) | Ivy_2 | Female | Standard | No | AU - BR - EU - SG - US |
| 339 | English (United States) | Ivy | Female | Standard | No | AU - BR - EU - SG - US |
| 340 | English (United States) | Stephen_2 | Male | Generative | No | AU - BR - EU - SG - US |
| 341 | English (United States) | Stephen | Male | Standard | No | AU - BR - EU - SG - US |
| 342 | English (United States) | Tiffany | Female | Generative | No | AU - BR - EU - SG - US |
| 343 | Estonian (Estonia) | Anu | Female | Standard | No | AU - BR - EU - SG - US |
| 344 | Estonian (Estonia) | Kert | Male | Standard | No | AU - BR - EU - SG - US |
| 345 | Filipino (Philippines) | Angelo | Male | Standard | No | AU - BR - EU - SG - US |
| 346 | Filipino (Philippines) | Blessica | Female | Standard | No | AU - BR - EU - SG - US |
| 347 | Finnish (Finland) | Harri | Male | Standard | No | AU - BR - EU - SG - US |
| 348 | Finnish (Finland) | Noora | Female | Standard | No | AU - BR - EU - SG - US |
| 349 | Finnish (Finland) | Selma | Female | Standard | No | AU - BR - EU - SG - US |
| 350 | Finnish (Finland) | Suvi | Female | Standard | No | AU - BR - EU - SG - US |
| 351 | French (Belgium) | Charline | Female | Standard | No | AU - BR - EU - SG - US |
| 352 | French (Belgium) | Gerard | Male | Standard | No | AU - BR - EU - SG - US |
| 353 | French (Belgium) | Isabelle_2 | Female | Generative | No | AU - BR - EU - SG - US |
| 354 | French (Belgium) | Isabelle | Female | Standard | No | AU - BR - EU - SG - US |
| 355 | French (Canada) | Antoine | Male | Standard | No | AU - BR - EU - SG - US |
| 356 | French (Canada) | Jean | Male | Standard | No | AU - BR - EU - SG - US |
| 357 | French (Canada) | Sylvie_2 | Female | Generative | Yes | EU - US |
| 358 | French (Canada) | Sylvie | Female | Standard | No | AU - BR - EU - SG - US |
| 359 | French (Canada) | Thierry_2 | Male | Generative | Yes | EU - US |
| 360 | French (Canada) | Thierry | Male | Standard | No | AU - BR - EU - SG - US |
| 361 | French (Canada) | Chantal | Female | Standard | No | AU - BR - EU - SG - US |
| 362 | French (Canada) | Gabrielle_2 | Female | Generative | No | AU - BR - EU - SG - US |
| 363 | French (Canada) | Gabrielle | Female | Standard | No | AU - BR - EU - SG - US |
| 364 | French (Canada) | Lian_2 | Male | Generative | No | AU - BR - EU - SG - US |
| 365 | French (Canada) | Lian | Male | Standard | No | AU - BR - EU - SG - US |
| 366 | French (France) | Alain | Male | Standard | No | AU - BR - EU - SG - US |
| 367 | French (France) | Brigitte | Female | Standard | No | AU - BR - EU - SG - US |
| 368 | French (France) | Celeste | Female | Standard | No | AU - BR - EU - SG - US |
| 369 | French (France) | Claude | Male | Standard | No | AU - BR - EU - SG - US |
| 370 | French (France) | Coralie | Female | Standard | No | AU - BR - EU - SG - US |
| 371 | French (France) | Denise | Female | Standard | No | AU - BR - EU - SG - US |
| 372 | French (France) | Eloise | Female | Standard | No | AU - BR - EU - SG - US |
| 373 | French (France) | Henri | Male | Standard | No | AU - BR - EU - SG - US |
| 374 | French (France) | Jacqueline | Female | Standard | No | AU - BR - EU - SG - US |
| 375 | French (France) | Jerome | Male | Standard | No | AU - BR - EU - SG - US |
| 376 | French (France) | Josephine | Female | Standard | No | AU - BR - EU - SG - US |
| 377 | French (France) | Lucien | Male | Standard | Yes | AU - BR - EU - SG - US |
| 378 | French (France) | Maurice | Male | Standard | No | AU - BR - EU - SG - US |
| 379 | French (France) | Remy_2 | Male | Generative | Yes | EU - US |
| 380 | French (France) | Remy | Male | Standard | Yes | AU - BR - EU - SG - US |
| 381 | French (France) | Vivienne_2 | Female | Generative | Yes | EU - US |
| 382 | French (France) | Vivienne | Female | Standard | Yes | AU - BR - EU - SG - US |
| 383 | French (France) | Yves | Male | Standard | No | AU - BR - EU - SG - US |
| 384 | French (France) | Yvette | Female | Standard | No | AU - BR - EU - SG - US |
| 385 | French (France) | Mathieu | Male | Standard | No | AU - BR - EU - SG - US |
| 386 | French (France) | Lea_3 | Female | Generative | No | AU - BR - EU - SG - US |
| 387 | French (France) | Lea_2 | Female | Standard | No | AU - BR - EU - SG - US |
| 388 | French (France) | Lea | Female | Standard | No | AU - BR - EU - SG - US |
| 389 | French (France) | Celine_2 | Female | Generative | No | AU - BR - EU - SG - US |
| 390 | French (France) | Celine | Female | Standard | No | AU - BR - EU - SG - US |
| 391 | French (France) | Remi_2 | Male | Generative | No | AU - BR - EU - SG - US |
| 392 | French (France) | Remi | Male | Standard | No | AU - BR - EU - SG - US |
| 393 | French (France) | Ambre | Female | Generative | No | AU - BR - EU - SG - US |
| 394 | French (France) | Florin | Male | Generative | No | AU - BR - EU - SG - US |
| 395 | French (Switzerland) | Ariane | Female | Standard | No | AU - BR - EU - SG - US |
| 396 | French (Switzerland) | Fabrice | Male | Standard | No | AU - BR - EU - SG - US |
| 397 | Galician | Roi | Male | Standard | No | AU - BR - EU - SG - US |
| 398 | Galician | Sabela | Female | Standard | No | AU - BR - EU - SG - US |
| 399 | Georgian (Georgia) | Eka | Female | Standard | No | AU - BR - EU - SG - US |
| 400 | Georgian (Georgia) | Giorgi | Male | Standard | No | AU - BR - EU - SG - US |
| 401 | German (Austria) | Ingrid | Female | Standard | No | AU - BR - EU - SG - US |
| 402 | German (Austria) | Hannah_2 | Female | Generative | No | AU - BR - EU - SG - US |
| 403 | German (Austria) | Hannah | Female | Standard | No | AU - BR - EU - SG - US |
| 404 | German (Austria) | Jonas | Male | Standard | No | AU - BR - EU - SG - US |
| 405 | German (Germany) | Amala | Female | Standard | No | AU - BR - EU - SG - US |
| 406 | German (Germany) | Bernd | Male | Standard | No | AU - BR - EU - SG - US |
| 407 | German (Germany) | Christoph | Male | Standard | No | AU - BR - EU - SG - US |
| 408 | German (Germany) | Conrad | Male | Standard | No | AU - BR - EU - SG - US |
| 409 | German (Germany) | Elke | Female | Standard | No | AU - BR - EU - SG - US |
| 410 | German (Germany) | Florian_2 | Male | Generative | Yes | EU - US |
| 411 | German (Germany) | Florian | Male | Standard | Yes | AU - BR - EU - SG - US |
| 412 | German (Germany) | Gisela | Female | Standard | No | AU - BR - EU - SG - US |
| 413 | German (Germany) | Kasper | Male | Standard | No | AU - BR - EU - SG - US |
| 414 | German (Germany) | Katja | Female | Standard | No | AU - BR - EU - SG - US |
| 415 | German (Germany) | Killian | Male | Standard | No | AU - BR - EU - SG - US |
| 416 | German (Germany) | Klarissa | Female | Standard | No | AU - BR - EU - SG - US |
| 417 | German (Germany) | Klaus | Male | Standard | No | AU - BR - EU - SG - US |
| 418 | German (Germany) | Louisa | Female | Standard | No | AU - BR - EU - SG - US |
| 419 | German (Germany) | Maja | Female | Standard | No | AU - BR - EU - SG - US |
| 420 | German (Germany) | Ralf | Male | Standard | No | AU - BR - EU - SG - US |
| 421 | German (Germany) | Seraphina_2 | Female | Generative | Yes | EU - US |
| 422 | German (Germany) | Seraphina | Female | Standard | Yes | AU - BR - EU - SG - US |
| 423 | German (Germany) | Tanja | Female | Standard | No | AU - BR - EU - SG - US |
| 424 | German (Germany) | Vicki_3 | Female | Generative | No | AU - BR - EU - SG - US |
| 425 | German (Germany) | Vicki_2 | Female | Standard | No | AU - BR - EU - SG - US |
| 426 | German (Germany) | Vicki | Female | Standard | No | AU - BR - EU - SG - US |
| 427 | German (Germany) | Marlene | Female | Standard | No | AU - BR - EU - SG - US |
| 428 | German (Germany) | Hans | Male | Standard | No | AU - BR - EU - SG - US |
| 429 | German (Germany) | Daniel_2 | Male | Generative | No | AU - BR - EU - SG - US |
| 430 | German (Germany) | Daniel | Male | Standard | No | AU - BR - EU - SG - US |
| 431 | German (Germany) | Lennart | Male | Generative | No | AU - BR - EU - SG - US |
| 432 | German (Switzerland) | Jan | Male | Standard | No | AU - BR - EU - SG - US |
| 433 | German (Switzerland) | Leni | Female | Standard | No | AU - BR - EU - SG - US |
| 434 | German (Switzerland) | Sabrina_2 | Female | Generative | No | AU - BR - EU - SG - US |
| 435 | German (Switzerland) | Sabrina | Female | Standard | No | AU - BR - EU - SG - US |
| 436 | Greek (Greece) | Athina | Female | Standard | No | AU - BR - EU - SG - US |
| 437 | Greek (Greece) | Nestoras | Male | Standard | No | AU - BR - EU - SG - US |
| 438 | Gujarati (India) | Dhwani | Female | Standard | No | AU - BR - EU - SG - US |
| 439 | Gujarati (India) | Niranjan | Male | Standard | No | AU - BR - EU - SG - US |
| 440 | Hebrew (Israel) | Avri | Male | Standard | No | AU - BR - EU - SG - US |
| 441 | Hebrew (Israel) | Hila | Female | Standard | No | AU - BR - EU - SG - US |
| 442 | Hindi (India) | Aarav | Male | Standard | No | AU - BR - EU - SG - US |
| 443 | Hindi (India) | Aarti | Female | Standard | No | AU - BR - EU - SG - US |
| 444 | Hindi (India) | Ananya | Female | Standard | No | AU - BR - EU - SG - US |
| 445 | Hindi (India) | Arjun_3 | Male | Standard | No | AU - BR - EU - SG - US |
| 446 | Hindi (India) | Kavya | Female | Standard | No | AU - BR - EU - SG - US |
| 447 | Hindi (India) | Kunal | Male | Standard | No | AU - BR - EU - SG - US |
| 448 | Hindi (India) | Madhur | Male | Standard | No | AU - BR - EU - SG - US |
| 449 | Hindi (India) | Rehaan | Male | Standard | No | AU - BR - EU - SG - US |
| 450 | Hindi (India) | Swara | Female | Standard | No | AU - BR - EU - SG - US |
| 451 | Hungarian (Hungary) | Noemi | Female | Standard | No | AU - BR - EU - SG - US |
| 452 | Hungarian (Hungary) | Tamas | Male | Standard | No | AU - BR - EU - SG - US |
| 453 | Icelandic (Iceland) | Gudrun | Female | Standard | No | AU - BR - EU - SG - US |
| 454 | Icelandic (Iceland) | Gunnar | Male | Standard | No | AU - BR - EU - SG - US |
| 455 | Icelandic (Iceland) | Karl | Male | Standard | No | AU - BR - EU - SG - US |
| 456 | Icelandic (Iceland) | Dora | Female | Standard | No | AU - BR - EU - SG - US |
| 457 | Indonesian (Indonesia) | Ardi | Male | Standard | No | AU - BR - EU - SG - US |
| 458 | Indonesian (Indonesia) | Gadis | Female | Standard | No | AU - BR - EU - SG - US |
| 459 | Inuktitut (Latin, Canada) | Siqiniq_2 | Female | Standard | No | AU - BR - EU - SG - US |
| 460 | Inuktitut (Latin, Canada) | Taqqiq_2 | Male | Standard | No | AU - BR - EU - SG - US |
| 461 | Inuktitut (Syllabics, Canada) | Siqiniq | Female | Standard | No | AU - BR - EU - SG - US |
| 462 | Inuktitut (Syllabics, Canada) | Taqqiq | Male | Standard | No | AU - BR - EU - SG - US |
| 463 | Irish (Ireland) | Colm | Male | Standard | No | AU - BR - EU - SG - US |
| 464 | Irish (Ireland) | Orla | Female | Standard | No | AU - BR - EU - SG - US |
| 465 | Italian (Italy) | Alessio_2 | Male | Generative | Yes | EU - US |
| 466 | Italian (Italy) | Alessio | Male | Standard | Yes | AU - BR - EU - SG - US |
| 467 | Italian (Italy) | Benigno | Male | Standard | No | AU - BR - EU - SG - US |
| 468 | Italian (Italy) | Calimero | Male | Standard | No | AU - BR - EU - SG - US |
| 469 | Italian (Italy) | Cataldo | Male | Standard | No | AU - BR - EU - SG - US |
| 470 | Italian (Italy) | Diego | Male | Standard | No | AU - BR - EU - SG - US |
| 471 | Italian (Italy) | Elsa | Female | Standard | No | AU - BR - EU - SG - US |
| 472 | Italian (Italy) | Fabiola | Female | Standard | No | AU - BR - EU - SG - US |
| 473 | Italian (Italy) | Fiamma | Female | Standard | No | AU - BR - EU - SG - US |
| 474 | Italian (Italy) | Gianni | Male | Standard | No | AU - BR - EU - SG - US |
| 475 | Italian (Italy) | Giuseppe | Male | Standard | Yes | AU - BR - EU - SG - US |
| 476 | Italian (Italy) | Giuseppe_2 | Male | Standard | No | AU - BR - EU - SG - US |
| 477 | Italian (Italy) | Imelda | Female | Standard | No | AU - BR - EU - SG - US |
| 478 | Italian (Italy) | Irma | Female | Standard | No | AU - BR - EU - SG - US |
| 479 | Italian (Italy) | Isabella_3 | Female | Generative | Yes | EU - US |
| 480 | Italian (Italy) | Isabella | Female | Standard | Yes | AU - BR - EU - SG - US |
| 481 | Italian (Italy) | Isabella_2 | Female | Standard | No | AU - BR - EU - SG - US |
| 482 | Italian (Italy) | Lisandro | Male | Standard | No | AU - BR - EU - SG - US |
| 483 | Italian (Italy) | Marcello | Male | Standard | Yes | AU - BR - EU - SG - US |
| 484 | Italian (Italy) | Palmira | Female | Standard | No | AU - BR - EU - SG - US |
| 485 | Italian (Italy) | Pierina | Female | Standard | No | AU - BR - EU - SG - US |
| 486 | Italian (Italy) | Rinaldo | Male | Standard | No | AU - BR - EU - SG - US |
| 487 | Italian (Italy) | Bianca_3 | Female | Generative | No | AU - BR - EU - SG - US |
| 488 | Italian (Italy) | Bianca_2 | Female | Standard | No | AU - BR - EU - SG - US |
| 489 | Italian (Italy) | Bianca | Female | Standard | No | AU - BR - EU - SG - US |
| 490 | Italian (Italy) | Giorgio | Male | Standard | No | AU - BR - EU - SG - US |
| 491 | Italian (Italy) | Carla | Female | Standard | No | AU - BR - EU - SG - US |
| 492 | Italian (Italy) | Adriano | Male | Standard | No | AU - BR - EU - SG - US |
| 493 | Italian (Italy) | Beatrice | Female | Generative | No | AU - BR - EU - SG - US |
| 494 | Italian (Italy) | Lorenzio | Male | Generative | No | AU - BR - EU - SG - US |
| 495 | Japanese (Japan) | Aoi | Female | Standard | No | AU - BR - EU - SG - US |
| 496 | Japanese (Japan) | Daichi | Male | Standard | No | AU - BR - EU - SG - US |
| 497 | Japanese (Japan) | Keita | Male | Standard | No | AU - BR - EU - SG - US |
| 498 | Japanese (Japan) | Masaru | Male | Generative | Yes | EU - US |
| 499 | Japanese (Japan) | Mayu | Female | Standard | No | AU - BR - EU - SG - US |
| 500 | Japanese (Japan) | Nanami_2 | Female | Generative | Yes | EU - US |
| 501 | Japanese (Japan) | Nanami | Female | Standard | No | AU - BR - EU - SG - US |
| 502 | Japanese (Japan) | Naoki | Male | Standard | No | AU - BR - EU - SG - US |
| 503 | Japanese (Japan) | Shiori | Female | Standard | No | AU - BR - EU - SG - US |
| 504 | Japanese (Japan) | Kazuha | Female | Standard | No | AU - BR - EU - SG - US |
| 505 | Japanese (Japan) | Tomoko | Female | Standard | No | AU - BR - EU - SG - US |
| 506 | Japanese (Japan) | Takumi_2 | Male | Standard | No | AU - BR - EU - SG - US |
| 507 | Japanese (Japan) | Takumi | Male | Standard | No | AU - BR - EU - SG - US |
| 508 | Japanese (Japan) | Mizuki | Female | Standard | No | AU - BR - EU - SG - US |
| 509 | Javanese (Latin, Indonesia) | Dimas | Male | Standard | No | AU - BR - EU - SG - US |
| 510 | Javanese (Latin, Indonesia) | Siti | Female | Standard | No | AU - BR - EU - SG - US |
| 511 | Kannada (India) | Gagan | Male | Standard | No | AU - BR - EU - SG - US |
| 512 | Kannada (India) | Sapna | Female | Standard | No | AU - BR - EU - SG - US |
| 513 | Kazakh (Kazakhstan) | Aigul | Female | Standard | No | AU - BR - EU - SG - US |
| 514 | Kazakh (Kazakhstan) | Daulet | Male | Standard | No | AU - BR - EU - SG - US |
| 515 | Khmer (Cambodia) | Piseth | Male | Standard | No | AU - BR - EU - SG - US |
| 516 | Khmer (Cambodia) | Sreymom | Female | Standard | No | AU - BR - EU - SG - US |
| 517 | Korean (Korea) | BongJin | Male | Standard | No | AU - BR - EU - SG - US |
| 518 | Korean (Korea) | GookMin | Male | Standard | No | AU - BR - EU - SG - US |
| 519 | Korean (Korea) | Hyunsu_3 | Male | Generative | Yes | EU - US |
| 520 | Korean (Korea) | Hyunsu | Male | Standard | Yes | AU - BR - EU - SG - US |
| 521 | Korean (Korea) | Hyunsu_2 | Male | Standard | No | AU - BR - EU - SG - US |
| 522 | Korean (Korea) | InJoon | Male | Standard | No | AU - BR - EU - SG - US |
| 523 | Korean (Korea) | JiMin | Female | Standard | No | AU - BR - EU - SG - US |
| 524 | Korean (Korea) | SeoHyeon | Female | Standard | No | AU - BR - EU - SG - US |
| 525 | Korean (Korea) | SoonBok | Female | Standard | No | AU - BR - EU - SG - US |
| 526 | Korean (Korea) | SunHi_2 | Female | Generative | Yes | EU - US |
| 527 | Korean (Korea) | SunHi | Female | Standard | No | AU - BR - EU - SG - US |
| 528 | Korean (Korea) | YuJin | Female | Standard | No | AU - BR - EU - SG - US |
| 529 | Korean (Korea) | Jihye | Female | Standard | No | AU - BR - EU - SG - US |
| 530 | Korean (Korea) | Seoyeon_3 | Female | Generative | No | AU - BR - EU - SG - US |
| 531 | Korean (Korea) | Seoyeon_2 | Female | Standard | No | AU - BR - EU - SG - US |
| 532 | Korean (Korea) | Seoyeon | Female | Standard | No | AU - BR - EU - SG - US |
| 533 | Lao (Laos) | Chanthavong | Male | Standard | No | AU - BR - EU - SG - US |
| 534 | Lao (Laos) | Keomany | Female | Standard | No | AU - BR - EU - SG - US |
| 535 | Latvian (Latvia) | Everita | Female | Standard | No | AU - BR - EU - SG - US |
| 536 | Latvian (Latvia) | Nils | Male | Standard | No | AU - BR - EU - SG - US |
| 537 | Lithuanian (Lithuania) | Leonas | Male | Standard | No | AU - BR - EU - SG - US |
| 538 | Lithuanian (Lithuania) | Ona | Female | Standard | No | AU - BR - EU - SG - US |
| 539 | Macedonian (North Macedonia) | Aleksandar | Male | Standard | No | AU - BR - EU - SG - US |
| 540 | Macedonian (North Macedonia) | Marija | Female | Standard | No | AU - BR - EU - SG - US |
| 541 | Malay (Malaysia) | Osman | Male | Standard | No | AU - BR - EU - SG - US |
| 542 | Malay (Malaysia) | Yasmin | Female | Standard | No | AU - BR - EU - SG - US |
| 543 | Malayalam (India) | Midhun | Male | Standard | No | AU - BR - EU - SG - US |
| 544 | Malayalam (India) | Sobhana | Female | Standard | No | AU - BR - EU - SG - US |
| 545 | Maltese (Malta) | Grace | Female | Standard | No | AU - BR - EU - SG - US |
| 546 | Maltese (Malta) | Joseph | Male | Standard | No | AU - BR - EU - SG - US |
| 547 | Marathi (India) | Aarohi | Female | Standard | No | AU - BR - EU - SG - US |
| 548 | Marathi (India) | Manohar | Male | Standard | No | AU - BR - EU - SG - US |
| 549 | Mongolian (Mongolia) | Bataa | Male | Standard | No | AU - BR - EU - SG - US |
| 550 | Mongolian (Mongolia) | Yesui | Female | Standard | No | AU - BR - EU - SG - US |
| 551 | Nepali (Nepal) | Hemkala | Female | Standard | No | AU - BR - EU - SG - US |
| 552 | Nepali (Nepal) | Sagar | Male | Standard | No | AU - BR - EU - SG - US |
| 553 | Norwegian (Norway) | Finn | Male | Standard | No | AU - BR - EU - SG - US |
| 554 | Norwegian (Norway) | Iselin | Female | Standard | No | AU - BR - EU - SG - US |
| 555 | Norwegian (Norway) | Pernille | Female | Standard | No | AU - BR - EU - SG - US |
| 556 | Norwegian (Norway) | Ida | Female | Standard | No | AU - BR - EU - SG - US |
| 557 | Norwegian (Norway) | Liv | Female | Standard | No | AU - BR - EU - SG - US |
| 558 | Odia (India) | Subhasini | Female | Standard | No | AU - BR - EU - SG - US |
| 559 | Odia (India) | Sukant | Male | Standard | No | AU - BR - EU - SG - US |
| 560 | Pashto (Afghanistan) | GulNawaz | Male | Standard | No | AU - BR - EU - SG - US |
| 561 | Pashto (Afghanistan) | Latifa | Female | Standard | No | AU - BR - EU - SG - US |
| 562 | Persian (Iran) | Dilara | Female | Standard | No | AU - BR - EU - SG - US |
| 563 | Persian (Iran) | Farid | Male | Standard | No | AU - BR - EU - SG - US |
| 564 | Polish (Poland) | Agnieszka | Female | Standard | No | AU - BR - EU - SG - US |
| 565 | Polish (Poland) | Marek | Male | Standard | No | AU - BR - EU - SG - US |
| 566 | Polish (Poland) | Zofia | Female | Standard | No | AU - BR - EU - SG - US |
| 567 | Polish (Poland) | Maya | Female | Standard | No | AU - BR - EU - SG - US |
| 568 | Polish (Poland) | Jann | Male | Standard | No | AU - BR - EU - SG - US |
| 569 | Polish (Poland) | Jacek | Male | Standard | No | AU - BR - EU - SG - US |
| 570 | Polish (Poland) | Ewa_2 | Female | Generative | No | AU - BR - EU - SG - US |
| 571 | Polish (Poland) | Ewa | Female | Standard | No | AU - BR - EU - SG - US |
| 572 | Polish (Poland) | Ola_2 | Female | Generative | No | AU - BR - EU - SG - US |
| 573 | Polish (Poland) | Ola | Female | Standard | No | AU - BR - EU - SG - US |
| 574 | Portuguese (Brazil) | Antonio | Male | Standard | No | AU - BR - EU - SG - US |
| 575 | Portuguese (Brazil) | Brenda | Female | Standard | No | AU - BR - EU - SG - US |
| 576 | Portuguese (Brazil) | Donato | Male | Standard | No | AU - BR - EU - SG - US |
| 577 | Portuguese (Brazil) | Elza | Female | Standard | No | AU - BR - EU - SG - US |
| 578 | Portuguese (Brazil) | Fabio | Male | Standard | No | AU - BR - EU - SG - US |
| 579 | Portuguese (Brazil) | Francisca | Female | Standard | No | AU - BR - EU - SG - US |
| 580 | Portuguese (Brazil) | Giovanna | Female | Standard | No | AU - BR - EU - SG - US |
| 581 | Portuguese (Brazil) | Humberto | Male | Standard | No | AU - BR - EU - SG - US |
| 582 | Portuguese (Brazil) | Julio | Male | Standard | No | AU - BR - EU - SG - US |
| 583 | Portuguese (Brazil) | Leila | Female | Standard | No | AU - BR - EU - SG - US |
| 584 | Portuguese (Brazil) | Leticia | Female | Standard | No | AU - BR - EU - SG - US |
| 585 | Portuguese (Brazil) | Macerio_2 | Male | Generative | Yes | EU - US |
| 586 | Portuguese (Brazil) | Macerio | Male | Standard | Yes | AU - BR - EU - SG - US |
| 587 | Portuguese (Brazil) | Manuela | Female | Standard | No | AU - BR - EU - SG - US |
| 588 | Portuguese (Brazil) | Nicolau | Male | Standard | No | AU - BR - EU - SG - US |
| 589 | Portuguese (Brazil) | Thalita_3 | Female | Generative | Yes | EU - US |
| 590 | Portuguese (Brazil) | Thalita | Female | Standard | Yes | AU - BR - EU - SG - US |
| 591 | Portuguese (Brazil) | Thalita_2 | Female | Standard | No | AU - BR - EU - SG - US |
| 592 | Portuguese (Brazil) | Valerio | Male | Standard | No | AU - BR - EU - SG - US |
| 593 | Portuguese (Brazil) | Yara | Female | Standard | No | AU - BR - EU - SG - US |
| 594 | Portuguese (Brazil) | Vitoria_2 | Female | Standard | No | AU - BR - EU - SG - US |
| 595 | Portuguese (Brazil) | Vitoria | Female | Standard | No | AU - BR - EU - SG - US |
| 596 | Portuguese (Brazil) | Ricardo | Male | Standard | No | AU - BR - EU - SG - US |
| 597 | Portuguese (Brazil) | Camilla_3 | Female | Generative | No | AU - BR - EU - SG - US |
| 598 | Portuguese (Brazil) | Camilla_2 | Female | Standard | No | AU - BR - EU - SG - US |
| 599 | Portuguese (Brazil) | Camilla | Female | Standard | No | AU - BR - EU - SG - US |
| 600 | Portuguese (Brazil) | Thiago | Male | Standard | No | AU - BR - EU - SG - US |
| 601 | Portuguese (Brazil) | Ines_2 | Female | Standard | No | AU - BR - EU - SG - US |
| 602 | Portuguese (Brazil) | Ines | Female | Standard | No | AU - BR - EU - SG - US |
| 603 | Portuguese (Brazil) | Cristiano | Male | Standard | No | AU - BR - EU - SG - US |
| 604 | Portuguese (Portugal) | Duarte | Male | Standard | No | AU - BR - EU - SG - US |
| 605 | Portuguese (Portugal) | Fernanda | Female | Standard | No | AU - BR - EU - SG - US |
| 606 | Portuguese (Portugal) | Raquel | Female | Standard | No | AU - BR - EU - SG - US |
| 607 | Punjabi (India) | Ojas | Male | Standard | No | AU - BR - EU - SG - US |
| 608 | Punjabi (India) | Vaani | Female | Standard | No | AU - BR - EU - SG - US |
| 609 | Romanian (Romania) | Alina | Female | Standard | No | AU - BR - EU - SG - US |
| 610 | Romanian (Romania) | Emil | Male | Standard | No | AU - BR - EU - SG - US |
| 611 | Romanian (Romania) | Carmen | Female | Standard | No | AU - BR - EU - SG - US |
| 612 | Russian (Russia) | Dariya | Female | Standard | No | AU - BR - EU - SG - US |
| 613 | Russian (Russia) | Dmitry | Male | Standard | No | AU - BR - EU - SG - US |
| 614 | Russian (Russia) | Svetlana | Female | Standard | No | AU - BR - EU - SG - US |
| 615 | Russian (Russia) | Tatyana | Female | Standard | No | AU - BR - EU - SG - US |
| 616 | Russian (Russia) | Maxim | Male | Standard | No | AU - BR - EU - SG - US |
| 617 | Serbian (Cyrillic, Serbia) | Nicholas | Male | Standard | No | AU - BR - EU - SG - US |
| 618 | Serbian (Cyrillic, Serbia) | Sophie | Female | Standard | No | AU - BR - EU - SG - US |
| 619 | Serbian (Latin, Serbia) | Nicholas_2 | Male | Standard | No | AU - BR - EU - SG - US |
| 620 | Serbian (Latin, Serbia) | Sophie_2 | Female | Standard | No | AU - BR - EU - SG - US |
| 621 | Sinhala (Sri Lanka) | Sameera | Male | Standard | No | AU - BR - EU - SG - US |
| 622 | Sinhala (Sri Lanka) | Thilini | Female | Standard | No | AU - BR - EU - SG - US |
| 623 | Slovak (Slovakia) | Lukas | Male | Standard | No | AU - BR - EU - SG - US |
| 624 | Slovak (Slovakia) | Viktoria | Female | Standard | No | AU - BR - EU - SG - US |
| 625 | Slovenian (Slovenia) | Petra | Female | Standard | No | AU - BR - EU - SG - US |
| 626 | Slovenian (Slovenia) | Rok | Male | Standard | No | AU - BR - EU - SG - US |
| 627 | Somali (Somalia) | Muuse | Male | Standard | No | AU - BR - EU - SG - US |
| 628 | Somali (Somalia) | Ubax | Female | Standard | No | AU - BR - EU - SG - US |
| 629 | Spanish (Argentina) | Elena | Female | Standard | No | AU - BR - EU - SG - US |
| 630 | Spanish (Argentina) | Tomas | Male | Standard | No | AU - BR - EU - SG - US |
| 631 | Spanish (Bolivia) | Marcelo | Male | Standard | No | AU - BR - EU - SG - US |
| 632 | Spanish (Bolivia) | Sofia | Female | Standard | No | AU - BR - EU - SG - US |
| 633 | Spanish (Chile) | Catalina | Female | Standard | No | AU - BR - EU - SG - US |
| 634 | Spanish (Chile) | Lorenzo | Male | Standard | No | AU - BR - EU - SG - US |
| 635 | Spanish (Colombia) | Gonzalo | Male | Standard | No | AU - BR - EU - SG - US |
| 636 | Spanish (Colombia) | Salome | Female | Standard | No | AU - BR - EU - SG - US |
| 637 | Spanish (Costa Rica) | Juan | Male | Standard | No | AU - BR - EU - SG - US |
| 638 | Spanish (Costa Rica) | Maria | Female | Standard | No | AU - BR - EU - SG - US |
| 639 | Spanish (Cuba) | Belkys | Female | Standard | No | AU - BR - EU - SG - US |
| 640 | Spanish (Cuba) | Manuel | Male | Standard | No | AU - BR - EU - SG - US |
| 641 | Spanish (Dominican Republic) | Emilio | Male | Standard | No | AU - BR - EU - SG - US |
| 642 | Spanish (Dominican Republic) | Ramona | Female | Standard | No | AU - BR - EU - SG - US |
| 643 | Spanish (Ecuador) | Andrea | Female | Standard | No | AU - BR - EU - SG - US |
| 644 | Spanish (Ecuador) | Luis | Male | Standard | No | AU - BR - EU - SG - US |
| 645 | Spanish (El Salvador) | Lorena | Female | Standard | No | AU - BR - EU - SG - US |
| 646 | Spanish (El Salvador) | Rodrigo | Male | Standard | No | AU - BR - EU - SG - US |
| 647 | Spanish (Equatorial Guinea) | Javier | Male | Standard | No | AU - BR - EU - SG - US |
| 648 | Spanish (Equatorial Guinea) | Teresa | Female | Standard | No | AU - BR - EU - SG - US |
| 649 | Spanish (Guatemala) | Andres | Male | Standard | No | AU - BR - EU - SG - US |
| 650 | Spanish (Guatemala) | Marta | Female | Standard | No | AU - BR - EU - SG - US |
| 651 | Spanish (Honduras) | Carlos | Male | Standard | No | AU - BR - EU - SG - US |
| 652 | Spanish (Honduras) | Karla | Female | Standard | No | AU - BR - EU - SG - US |
| 653 | Spanish (Mexico) | Beatriz | Female | Standard | No | AU - BR - EU - SG - US |
| 654 | Spanish (Mexico) | Candela | Female | Standard | No | AU - BR - EU - SG - US |
| 655 | Spanish (Mexico) | Carlota | Female | Standard | No | AU - BR - EU - SG - US |
| 656 | Spanish (Mexico) | Cecilio | Male | Standard | No | AU - BR - EU - SG - US |
| 657 | Spanish (Mexico) | Dalia | Female | Standard | Yes | AU - BR - EU - SG - US |
| 658 | Spanish (Mexico) | Dalia_2 | Female | Standard | No | AU - BR - EU - SG - US |
| 659 | Spanish (Mexico) | Gerardo | Male | Standard | No | AU - BR - EU - SG - US |
| 660 | Spanish (Mexico) | Jorge | Male | Standard | Yes | AU - BR - EU - SG - US |
| 661 | Spanish (Mexico) | Jorge_2 | Male | Standard | No | AU - BR - EU - SG - US |
| 662 | Spanish (Mexico) | Larissa | Female | Standard | No | AU - BR - EU - SG - US |
| 663 | Spanish (Mexico) | Liberto | Male | Standard | No | AU - BR - EU - SG - US |
| 664 | Spanish (Mexico) | Luciano | Male | Standard | No | AU - BR - EU - SG - US |
| 665 | Spanish (Mexico) | Marina | Female | Standard | No | AU - BR - EU - SG - US |
| 666 | Spanish (Mexico) | Nuria | Female | Standard | No | AU - BR - EU - SG - US |
| 667 | Spanish (Mexico) | Pelayo | Male | Standard | No | AU - BR - EU - SG - US |
| 668 | Spanish (Mexico) | Renata | Female | Standard | No | AU - BR - EU - SG - US |
| 669 | Spanish (Mexico) | Tristan | Male | Generative | Yes | EU - US |
| 670 | Spanish (Mexico) | Ximena | Female | Generative | Yes | EU - US |
| 671 | Spanish (Mexico) | Yago | Male | Standard | No | AU - BR - EU - SG - US |
| 672 | Spanish (Mexico) | Mia_3 | Female | Generative | No | AU - BR - EU - SG - US |
| 673 | Spanish (Mexico) | Mia_2 | Female | Standard | No | AU - BR - EU - SG - US |
| 674 | Spanish (Mexico) | Mia | Female | Standard | No | AU - BR - EU - SG - US |
| 675 | Spanish (Mexico) | Andre_2 | Male | Generative | No | AU - BR - EU - SG - US |
| 676 | Spanish (Mexico) | Andre | Male | Standard | No | AU - BR - EU - SG - US |
| 677 | Spanish (Nicaragua) | Federico | Male | Standard | No | AU - BR - EU - SG - US |
| 678 | Spanish (Nicaragua) | Yolanda | Female | Standard | No | AU - BR - EU - SG - US |
| 679 | Spanish (Panama) | Margarita | Female | Standard | No | AU - BR - EU - SG - US |
| 680 | Spanish (Panama) | Roberto | Male | Standard | No | AU - BR - EU - SG - US |
| 681 | Spanish (Paraguay) | Mario | Male | Standard | No | AU - BR - EU - SG - US |
| 682 | Spanish (Paraguay) | Tania | Female | Standard | No | AU - BR - EU - SG - US |
| 683 | Spanish (Peru) | Alex | Male | Standard | No | AU - BR - EU - SG - US |
| 684 | Spanish (Peru) | Camila | Female | Standard | No | AU - BR - EU - SG - US |
| 685 | Spanish (Puerto Rico) | Karina | Female | Standard | No | AU - BR - EU - SG - US |
| 686 | Spanish (Puerto Rico) | Victor | Male | Standard | No | AU - BR - EU - SG - US |
| 687 | Spanish (Spain) | Abril | Female | Standard | No | AU - BR - EU - SG - US |
| 688 | Spanish (Spain) | Alvaro | Male | Standard | No | AU - BR - EU - SG - US |
| 689 | Spanish (Spain) | Arabella | Female | Standard | Yes | AU - BR - EU - SG - US |
| 690 | Spanish (Spain) | Arnau | Male | Standard | No | AU - BR - EU - SG - US |
| 691 | Spanish (Spain) | Dario | Male | Standard | No | AU - BR - EU - SG - US |
| 692 | Spanish (Spain) | Elias | Male | Standard | No | AU - BR - EU - SG - US |
| 693 | Spanish (Spain) | Elvira | Female | Standard | No | AU - BR - EU - SG - US |
| 694 | Spanish (Spain) | Estrella | Female | Standard | No | AU - BR - EU - SG - US |
| 695 | Spanish (Spain) | Irene | Female | Standard | No | AU - BR - EU - SG - US |
| 696 | Spanish (Spain) | Isidora | Female | Standard | Yes | AU - BR - EU - SG - US |
| 697 | Spanish (Spain) | Laia | Female | Standard | No | AU - BR - EU - SG - US |
| 698 | Spanish (Spain) | Lia | Female | Standard | No | AU - BR - EU - SG - US |
| 699 | Spanish (Spain) | Nil | Male | Standard | No | AU - BR - EU - SG - US |
| 700 | Spanish (Spain) | Saul | Male | Standard | No | AU - BR - EU - SG - US |
| 701 | Spanish (Spain) | Teo | Male | Standard | No | AU - BR - EU - SG - US |
| 702 | Spanish (Spain) | Triana | Female | Standard | No | AU - BR - EU - SG - US |
| 703 | Spanish (Spain) | Tristan_ES_2 | Male | Generative | Yes | EU - US |
| 704 | Spanish (Spain) | Tristan_ES | Male | Standard | Yes | AU - BR - EU - SG - US |
| 705 | Spanish (Spain) | Vera | Female | Standard | No | AU - BR - EU - SG - US |
| 706 | Spanish (Spain) | Ximena_ES_3 | Female | Generative | Yes | EU - US |
| 707 | Spanish (Spain) | Ximena_ES | Female | Standard | Yes | AU - BR - EU - SG - US |
| 708 | Spanish (Spain) | Ximena_ES_2 | Female | Standard | No | AU - BR - EU - SG - US |
| 709 | Spanish (Castilian) | Lucia_3 | Female | Generative | No | AU - BR - EU - SG - US |
| 710 | Spanish (Castilian) | Lucia_2 | Female | Standard | No | AU - BR - EU - SG - US |
| 711 | Spanish (Castilian) | Lucia | Female | Standard | No | AU - BR - EU - SG - US |
| 712 | Spanish (Castilian) | Enrique | Male | Standard | No | AU - BR - EU - SG - US |
| 713 | Spanish (Castilian) | Conchita | Female | Standard | No | AU - BR - EU - SG - US |
| 714 | Spanish (Castilian) | Sergio_2 | Male | Generative | No | AU - BR - EU - SG - US |
| 715 | Spanish (Castilian) | Sergio | Male | Standard | No | AU - BR - EU - SG - US |
| 716 | Spanish (United States) | Alonso | Male | Standard | No | AU - BR - EU - SG - US |
| 717 | Spanish (United States) | Paloma | Female | Standard | No | AU - BR - EU - SG - US |
| 718 | Spanish (United States) | Lupe_3 | Female | Generative | No | AU - BR - EU - SG - US |
| 719 | Spanish (United States) | Lupe_2 | Female | Standard | No | AU - BR - EU - SG - US |
| 720 | Spanish (United States) | Lupe | Female | Standard | No | AU - BR - EU - SG - US |
| 721 | Spanish (United States) | Penelope | Female | Standard | No | AU - BR - EU - SG - US |
| 722 | Spanish (United States) | Miguel | Male | Standard | No | AU - BR - EU - SG - US |
| 723 | Spanish (United States) | Pedro_2 | Male | Generative | No | AU - BR - EU - SG - US |
| 724 | Spanish (United States) | Pedro | Male | Standard | No | AU - BR - EU - SG - US |
| 725 | Spanish (Uruguay) | Mateo | Male | Standard | No | AU - BR - EU - SG - US |
| 726 | Spanish (Uruguay) | Valentina | Female | Standard | No | AU - BR - EU - SG - US |
| 727 | Spanish (Venezuela) | Paola | Female | Standard | No | AU - BR - EU - SG - US |
| 728 | Spanish (Venezuela) | Sebastian | Male | Standard | No | AU - BR - EU - SG - US |
| 729 | Sundanese (Indonesia) | Jajang | Male | Standard | No | AU - BR - EU - SG - US |
| 730 | Sundanese (Indonesia) | Tuti | Female | Standard | No | AU - BR - EU - SG - US |
| 731 | Swahili (Kenya) | Rafiki | Male | Standard | No | AU - BR - EU - SG - US |
| 732 | Swahili (Kenya) | Zuri | Female | Standard | No | AU - BR - EU - SG - US |
| 733 | Swahili (Tanzania) | Daudi | Male | Standard | No | AU - BR - EU - SG - US |
| 734 | Swahili (Tanzania) | Rehema | Female | Standard | No | AU - BR - EU - SG - US |
| 735 | Swedish (Sweden) | Hillevi | Female | Standard | No | AU - BR - EU - SG - US |
| 736 | Swedish (Sweden) | Mattias | Male | Standard | No | AU - BR - EU - SG - US |
| 737 | Swedish (Sweden) | Sofie | Female | Standard | No | AU - BR - EU - SG - US |
| 738 | Swedish (Sweden) | Elin | Female | Standard | No | AU - BR - EU - SG - US |
| 739 | Swedish (Sweden) | Astrid | Female | Standard | No | AU - BR - EU - SG - US |
| 740 | Tamil (India) | Pallavi | Female | Standard | No | AU - BR - EU - SG - US |
| 741 | Tamil (India) | Valluvar | Male | Standard | No | AU - BR - EU - SG - US |
| 742 | Tamil (Malaysia) | Kani | Female | Standard | No | AU - BR - EU - SG - US |
| 743 | Tamil (Malaysia) | Surya | Male | Standard | No | AU - BR - EU - SG - US |
| 744 | Tamil (Singapore) | Anbu | Male | Standard | No | AU - BR - EU - SG - US |
| 745 | Tamil (Singapore) | Venba | Female | Standard | No | AU - BR - EU - SG - US |
| 746 | Tamil (Sri Lanka) | Kumar | Male | Standard | No | AU - BR - EU - SG - US |
| 747 | Tamil (Sri Lanka) | Saranya | Female | Standard | No | AU - BR - EU - SG - US |
| 748 | Telugu (India) | Mohan | Male | Standard | No | AU - BR - EU - SG - US |
| 749 | Telugu (India) | Shruti | Female | Standard | No | AU - BR - EU - SG - US |
| 750 | Thai (Thailand) | Achara | Female | Standard | No | AU - BR - EU - SG - US |
| 751 | Thai (Thailand) | Niwat | Male | Standard | No | AU - BR - EU - SG - US |
| 752 | Thai (Thailand) | Premwadee | Female | Standard | No | AU - BR - EU - SG - US |
| 753 | Turkish (Türkiye) | Ahmet | Male | Standard | No | AU - BR - EU - SG - US |
| 754 | Turkish (Türkiye) | Emel | Female | Standard | No | AU - BR - EU - SG - US |
| 755 | Turkish (Türkiye) | Burcu | Female | Standard | No | AU - BR - EU - SG - US |
| 756 | Turkish (Türkiye) | Filiz | Female | Standard | No | AU - BR - EU - SG - US |
| 757 | Ukrainian (Ukraine) | Ostap | Male | Standard | No | AU - BR - EU - SG - US |
| 758 | Ukrainian (Ukraine) | Polina | Female | Standard | No | AU - BR - EU - SG - US |
| 759 | Urdu (India) | Gul | Female | Standard | No | AU - BR - EU - SG - US |
| 760 | Urdu (India) | Salman | Male | Standard | No | AU - BR - EU - SG - US |
| 761 | Urdu (Pakistan) | Asad | Male | Standard | No | AU - BR - EU - SG - US |
| 762 | Urdu (Pakistan) | Uzma | Female | Standard | No | AU - BR - EU - SG - US |
| 763 | Uzbek (Latin, Uzbekistan) | Madina | Female | Standard | No | AU - BR - EU - SG - US |
| 764 | Uzbek (Latin, Uzbekistan) | Sardor | Male | Standard | No | AU - BR - EU - SG - US |
| 765 | Vietnamese (Vietnam) | HoaiMy | Female | Standard | No | AU - BR - EU - SG - US |
| 766 | Vietnamese (Vietnam) | NamMinh | Male | Standard | No | AU - BR - EU - SG - US |
| 767 | Welsh (United Kingdom) | Aled | Male | Standard | No | AU - BR - EU - SG - US |
| 768 | Welsh (United Kingdom) | Nia | Female | Standard | No | AU - BR - EU - SG - US |
| 769 | Welsh (United Kingdom) | Gwyneth | Female | Standard | No | AU - BR - EU - SG - US |
| 770 | Welsh (United Kingdom) | Geraint | Male | Standard | No | AU - BR - EU - SG - US |
| 771 | Zulu (South Africa) | Thando | Female | Standard | No | AU - BR - EU - SG - US |
| 772 | Zulu (South Africa) | Themba | Male | Standard | No | AU - BR - EU - SG - US |


## Multilingual

Voice with such attribute can sound as a natural speaker in multiple languages, such behaviour can be activate via SSML tags.

## Regional availability

Our platform is globally available, and we have 5 Regional Points of Presence:

* AU - Australia, serving Oceania
* BR - Brazil, serving South America
* EU - Europe, serving Europe
* SG - Singapore, serving South East Asia
and
* US - United States, serving North America


Note:
Voices that are not available in the region you are closest to, will still work! But users can experience higher latency/slow start of the speech.