Language and voice support for the Speech service

Language support varies by Speech service functionality. The following tables summarize language support for Speech-to-text, Text-to-speech, and Speech translation service offerings.


Both the Microsoft Speech SDK and the REST API support the following languages (locales).

To improve accuracy, customization is offered for a subset of the languages through uploading Audio + Human-labeled Transcripts or Related Text: Sentences. Support for customization of the acoustic model with Audio + Human-labeled Transcripts is limited to the specific base models listed below. Other base models and languages will only use the text of the transcripts to train custom models just like with Related Text: Sentences. To learn more about customization, see Get started with Custom Speech.

Language Locale (BCP-47) Customizations Language detection
Arabic (Bahrain), modern standard ar-BH Text
Arabic (Egypt) ar-EG Text Yes
Arabic (Iraq) ar-IQ Text
Arabic (Israel) ar-IL Text
Arabic (Jordan) ar-JO Text
Arabic (Kuwait) ar-KW Text
Arabic (Lebanon) ar-LB Text
Arabic (Oman) ar-OM Text
Arabic (Qatar) ar-QA Text
Arabic (Saudi Arabia) ar-SA Text
Arabic (State of Palestine) ar-PS Text
Arabic (Syria) ar-SY Text
Arabic (United Arab Emirates) ar-AE Text
Bulgarian (Bulgaria) bg-BG Text
Catalan (Spain) ca-ES Text Yes
Chinese (Cantonese, Traditional) zh-HK Audio (20201015)
Chinese (Mandarin, Simplified) zh-CN Audio (20200910)
Chinese (Taiwanese Mandarin) zh-TW Audio (20190701, 20201015)
Croatian (Croatia) hr-HR Text
Czech (Czech Republic) cs-CZ Text
Danish (Denmark) da-DK Text Yes
Dutch (Netherlands) nl-NL Audio (20201015)
English (Australia) en-AU Audio (20201019)
English (Canada) en-CA Audio (20201019)
English (Ghana) en-GH Text
English (Hong Kong) en-HK Text
English (India) en-IN Audio (20200923)
English (Ireland) en-IE Text
English (Kenya) en-KE Text
English (New Zealand) en-NZ Audio (20201019)
English (Nigeria) en-NG Text
English (Philippines) en-PH Text
English (Singapore) en-SG Text
English (South Africa) en-ZA Text
English (Tanzania) en-TZ Text
English (United Kingdom) en-GB Audio (20201019)
English (United States) en-US Audio (20201019)
Estonian(Estonia) et-EE Text
Filipino (Philippines) fil-PH Text
Finnish (Finland) fi-FI Text Yes
French (Canada) fr-CA Audio (20201015)
French (France) fr-FR Audio (20201015)
French (Switzerland) fr-CH Text
German (Austria) de-AT Text
German (Germany) de-DE Audio (20190701, 20200619, 20201127)
Greek (Greece) el-GR Text Yes
Gujarati (Indian) gu-IN Text
Hindi (India) hi-IN Audio (20200701)
Hungarian (Hungary) hu-HU Text
Indonesian (Indonesia) id-ID Text
Irish(Ireland) ga-IE Text
Italian (Italy) it-IT Audio (20201016)
Japanese (Japan) ja-JP Text Yes
Korean (Korea) ko-KR Audio (20201015)
Latvian (Latvia) lv-LV Text
Lithuanian (Lithuania) lt-LT Text
Malay (Malaysia) ms-MY Text
Maltese (Malta) mt-MT Text
Marathi (India) mr-IN Text
Norwegian (Bokmål, Norway) nb-NO Text Yes
Polish (Poland) pl-PL Text Yes
Portuguese (Brazil) pt-BR Audio (20190620, 20201015)
Portuguese (Portugal) pt-PT Text
Romanian (Romania) ro-RO Text Yes
Russian (Russia) ru-RU Audio (20200907)
Slovak (Slovakia) sk-SK Text
Slovenian (Slovenia) sl-SI Text
Spanish (Argentina) es-AR Text
Spanish (Bolivia) es-BO Text
Spanish (Chile) es-CL Text
Spanish (Colombia) es-CO Text
Spanish (Costa Rica) es-CR Text
Spanish (Cuba) es-CU Text
Spanish (Dominican Republic) es-DO Text
Spanish (Ecuador) es-EC Text
Spanish (El Salvador) es-SV Text
Spanish (Equatorial Guinea) es-GQ Text
Spanish (Guatemala) es-GT Text
Spanish (Honduras) es-HN Text
Spanish (Mexico) es-MX Audio (20200907)
Spanish (Nicaragua) es-NI Text
Spanish (Panama) es-PA Text
Spanish (Paraguay) es-PY Text
Spanish (Peru) es-PE Text
Spanish (Puerto Rico) es-PR Text
Spanish (Spain) es-ES Audio (20201015)
Spanish (Uruguay) es-UY Text
Spanish (USA) es-US Text
Spanish (Venezuela) es-VE Text
Swedish (Sweden) sv-SE Text Yes
Tamil (India) ta-IN Text
Telugu (India) te-IN Text
Thai (Thailand) th-TH Text Yes
Turkish (Turkey) tr-TR Text
Vietnamese (Vietnam) vi-VN Text


Both the Microsoft Speech SDK and REST APIs support these voices, each of which supports a specific language and dialect, identified by locale. You can also get a full list of languages and voices supported for each specific region/endpoint through the voices/list API.


Pricing varies for standard, custom and neural voices. Please visit the Pricing page for additional information.

Neural voices

Neural text-to-speech is a new type of speech synthesis powered by deep neural networks. When using a neural voice, synthesized speech is nearly indistinguishable from the human recordings.

Neural voices can be used to make interactions with chatbots and voice assistants more natural and engaging, convert digital texts such as e-books into audiobooks and enhance in-car navigation systems. With the human-like natural prosody and clear articulation of words, neural voices significantly reduce listening fatigue when users interact with AI systems.


Neural voices are created from samples that use a 24 khz sample rate. All voices can upsample or downsample to other sample rates when synthesizing.

Language Locale Gender Voice name Style support
Arabic (Egypt) ar-EG Female ar-EG-SalmaNeural General
Arabic (Egypt) ar-EG Male ar-EG-ShakirNeural General
Arabic (Saudi Arabia) ar-SA Female ar-SA-ZariyahNeural General
Arabic (Saudi Arabia) ar-SA Male ar-SA-HamedNeural General
Bulgarian (Bulgaria) bg-BG Female bg-BG-KalinaNeural General
Bulgarian (Bulgaria) bg-BG Male bg-BG-BorislavNeural General
Catalan (Spain) ca-ES Female ca-ES-AlbaNeural General
Catalan (Spain) ca-ES Female ca-ES-JoanaNeural General
Catalan (Spain) ca-ES Male ca-ES-EnricNeural General
Chinese (Cantonese, Traditional) zh-HK Female zh-HK-HiuGaaiNeural General
Chinese (Cantonese, Traditional) zh-HK Female zh-HK-HiuMaanNeural General
Chinese (Cantonese, Traditional) zh-HK Male zh-HK-WanLungNeural General
Chinese (Mandarin, Simplified) zh-CN Female zh-CN-XiaoxiaoNeural General, multiple voice styles available using SSML
Chinese (Mandarin, Simplified) zh-CN Female zh-CN-XiaoyouNeural Child voice, optimized for story narrating
Chinese (Mandarin, Simplified) zh-CN Male zh-CN-YunyangNeural Optimized for news reading,
multiple voice styles available using SSML
Chinese (Mandarin, Simplified) zh-CN Male zh-CN-YunyeNeural Optimized for story narrating
Chinese (Taiwanese Mandarin) zh-TW Female zh-TW-HsiaoChenNeural General
Chinese (Taiwanese Mandarin) zh-TW Female zh-TW-HsiaoYuNeural General
Chinese (Taiwanese Mandarin) zh-TW Male zh-TW-YunJheNeural General
Croatian (Croatia) hr-HR Female hr-HR-GabrijelaNeural General
Croatian (Croatia) hr-HR Male hr-HR-SreckoNeural General
Czech (Czech) cs-CZ Female cs-CZ-VlastaNeural General
Czech (Czech) cs-CZ Male cs-CZ-AntoninNeural General
Danish (Denmark) da-DK Female da-DK-ChristelNeural General
Danish (Denmark) da-DK Male da-DK-JeppeNeural General
Dutch (Belgium) nl-BE Female nl-BE-DenaNeural New General
Dutch (Belgium) nl-BE Male nl-BE-ArnaudNeural New General
Dutch (Netherlands) nl-NL Female nl-NL-ColetteNeural General
Dutch (Netherlands) nl-NL Female nl-NL-FennaNeural General
Dutch (Netherlands) nl-NL Male nl-NL-MaartenNeural General
English (Australia) en-AU Female en-AU-NatashaNeural General
English (Australia) en-AU Male en-AU-WilliamNeural General
English (Canada) en-CA Female en-CA-ClaraNeural General
English (Canada) en-CA Male en-CA-LiamNeural General
English (India) en-IN Female en-IN-NeerjaNeural General
English (India) en-IN Male en-IN-PrabhatNeural General
English (Ireland) en-IE Female en-IE-EmilyNeural General
English (Ireland) en-IE Male en-IE-ConnorNeural General
English (Philippines) en-PH Female en-PH-RosaNeural New General
English (Philippines) en-PH Male en-PH-JamesNeural New General
English (United Kingdom) en-GB Female en-GB-LibbyNeural General
English (United Kingdom) en-GB Female en-GB-MiaNeural General
English (United Kingdom) en-GB Male en-GB-RyanNeural General
English (United States) en-US Female en-US-AriaNeural General, multiple voice styles available using SSML
English (United States) en-US Female en-US-JennyNeural General
English (United States) en-US Male en-US-GuyNeural General
Estonian (Estonia) et-EE Female et-EE-AnuNeural General
Estonian (Estonia) et-EE Male et-EE-KertNeural General
Finnish (Finland) fi-FI Female fi-FI-NooraNeural General
Finnish (Finland) fi-FI Female fi-FI-SelmaNeural General
Finnish (Finland) fi-FI Male fi-FI-HarriNeural General
French (Belgium) fr-BE Female fr-BE-CharlineNeural New General
French (Belgium) fr-BE Male fr-BE-GerardNeural New General
French (Canada) fr-CA Female fr-CA-SylvieNeural General
French (Canada) fr-CA Male fr-CA-AntoineNeural General
French (Canada) fr-CA Male fr-CA-JeanNeural General
French (France) fr-FR Female fr-FR-DeniseNeural General
French (France) fr-FR Male fr-FR-HenriNeural General
French (Switzerland) fr-CH Female fr-CH-ArianeNeural General
French (Switzerland) fr-CH Male fr-CH-FabriceNeural General
German (Austria) de-AT Female de-AT-IngridNeural General
German (Austria) de-AT Male de-AT-JonasNeural General
German (Germany) de-DE Female de-DE-KatjaNeural General
German (Germany) de-DE Male de-DE-ConradNeural General
German (Switzerland) de-CH Female de-CH-LeniNeural General
German (Switzerland) de-CH Male de-CH-JanNeural General
Greek (Greece) el-GR Female el-GR-AthinaNeural General
Greek (Greece) el-GR Male el-GR-NestorasNeural General
Hebrew (Israel) he-IL Female he-IL-HilaNeural General
Hebrew (Israel) he-IL Male he-IL-AvriNeural General
Hindi (India) hi-IN Female hi-IN-SwaraNeural General
Hindi (India) hi-IN Male hi-IN-MadhurNeural General
Hungarian (Hungary) hu-HU Female hu-HU-NoemiNeural General
Hungarian (Hungary) hu-HU Male hu-HU-TamasNeural General
Indonesian (Indonesia) id-ID Female id-ID-GadisNeural General
Indonesian (Indonesia) id-ID Male id-ID-ArdiNeural General
Irish (Ireland) ga-IE Female ga-IE-OrlaNeural General
Irish (Ireland) ga-IE Male ga-IE-ColmNeural General
Italian (Italy) it-IT Female it-IT-ElsaNeural General
Italian (Italy) it-IT Female it-IT-IsabellaNeural General
Italian (Italy) it-IT Male it-IT-DiegoNeural General
Japanese (Japan) ja-JP Female ja-JP-NanamiNeural General
Japanese (Japan) ja-JP Male ja-JP-KeitaNeural General
Korean (Korea) ko-KR Female ko-KR-SunHiNeural General
Korean (Korea) ko-KR Male ko-KR-InJoonNeural General
Latvian (Latvia) lv-LV Female lv-LV-EveritaNeural General
Latvian (Latvia) lv-LV Male lv-LV-NilsNeural General
Lithuanian (Lithuania) lt-LT Female lt-LT-OnaNeural General
Lithuanian (Lithuania) lt-LT Male lt-LT-LeonasNeural General
Malay (Malaysia) ms-MY Female ms-MY-YasminNeural General
Malay (Malaysia) ms-MY Male ms-MY-OsmanNeural General
Maltese (Malta) mt-MT Female mt-MT-GraceNeural General
Maltese (Malta) mt-MT Male mt-MT-JosephNeural General
Norwegian (Bokmål, Norway) nb-NO Female nb-NO-IselinNeural General
Norwegian (Bokmål, Norway) nb-NO Female nb-NO-PernilleNeural General
Norwegian (Bokmål, Norway) nb-NO Male nb-NO-FinnNeural General
Polish (Poland) pl-PL Female pl-PL-AgnieszkaNeural General
Polish (Poland) pl-PL Female pl-PL-ZofiaNeural General
Polish (Poland) pl-PL Male pl-PL-MarekNeural General
Portuguese (Brazil) pt-BR Female pt-BR-FranciscaNeural General, multiple voice styles available using SSML
Portuguese (Brazil) pt-BR Male pt-BR-AntonioNeural General
Portuguese (Portugal) pt-PT Female pt-PT-FernandaNeural General
Portuguese (Portugal) pt-PT Female pt-PT-RaquelNeural General
Portuguese (Portugal) pt-PT Male pt-PT-DuarteNeural General
Romanian (Romania) ro-RO Female ro-RO-AlinaNeural General
Romanian (Romania) ro-RO Male ro-RO-EmilNeural General
Russian (Russia) ru-RU Female ru-RU-DariyaNeural General
Russian (Russia) ru-RU Female ru-RU-SvetlanaNeural General
Russian (Russia) ru-RU Male ru-RU-DmitryNeural General
Slovak (Slovakia) sk-SK Female sk-SK-ViktoriaNeural General
Slovak (Slovakia) sk-SK Male sk-SK-LukasNeural General
Slovenian (Slovenia) sl-SI Female sl-SI-PetraNeural General
Slovenian (Slovenia) sl-SI Male sl-SI-RokNeural General
Spanish (Mexico) es-MX Female es-MX-DaliaNeural General
Spanish (Mexico) es-MX Male es-MX-JorgeNeural General
Spanish (Spain) es-ES Female es-ES-ElviraNeural General
Spanish (Spain) es-ES Male es-ES-AlvaroNeural General
Swedish (Sweden) sv-SE Female sv-SE-HilleviNeural General
Swedish (Sweden) sv-SE Female sv-SE-SofieNeural General
Swedish (Sweden) sv-SE Male sv-SE-MattiasNeural General
Tamil (India) ta-IN Female ta-IN-PallaviNeural General
Tamil (India) ta-IN Male ta-IN-ValluvarNeural General
Telugu (India) te-IN Female te-IN-ShrutiNeural General
Telugu (India) te-IN Male te-IN-MohanNeural General
Thai (Thailand) th-TH Female th-TH-AcharaNeural General
Thai (Thailand) th-TH Female th-TH-PremwadeeNeural General
Thai (Thailand) th-TH Male th-TH-NiwatNeural General
Turkish (Turkey) tr-TR Female tr-TR-EmelNeural General
Turkish (Turkey) tr-TR Male tr-TR-AhmetNeural General
Ukrainian (Ukraine) uk-UA Female uk-UA-PolinaNeural New General
Ukrainian (Ukraine) uk-UA Male uk-UA-OstapNeural New General
Urdu (Pakistan) ur-PK Female ur-PK-UzmaNeural New General
Urdu (Pakistan) ur-PK Male ur-PK-AsadNeural New General
Vietnamese (Vietnam) vi-VN Female vi-VN-HoaiMyNeural General
Vietnamese (Vietnam) vi-VN Male vi-VN-NamMinhNeural General
Welsh (UK) cy-GB Female cy-GB-NiaNeural New General
Welsh (UK) cy-GB Male cy-GB-AledNeural New General

Neural voices in preview

Below neural voices are in public preview.

Language Locale Gender Voice name Style support
Chinese (Mandarin, Simplified) zh-CN Female zh-CN-XiaohanNeural General, multiple styles available using SSML
Chinese (Mandarin, Simplified) zh-CN Female zh-CN-XiaomoNeural General, multiple role-play and styles available using SSML
Chinese (Mandarin, Simplified) zh-CN Female zh-CN-XiaoruiNeural Senior voice, multiple styles available using SSML
Chinese (Mandarin, Simplified) zh-CN Female zh-CN-XiaoxuanNeural General, multiple role-play and styles available using SSML
Chinese (Mandarin, Simplified) zh-CN Male zh-CN-YunxiNeural General, multiple styles available using SSML


Voices in public preview are only available in 3 service regions: East US, West Europe and Southeast Asia.

For more information about regional availability, see regions.

To learn how you can configure and adjust neural voices, such as Speaking Styles, see Speech Synthesis Markup Language.


The en-US-JessaNeural voice has changed to en-US-AriaNeural. If you were using "Jessa" before, convert over to "Aria".


You can continue to use the full service name mapping like "Microsoft Server Speech Text to Speech Voice (en-US, AriaNeural)" in your speech synthesis requests.

Standard voices

More than 75 standard voices are available in over 45 languages and locales, which allow you to convert text into synthesized speech. For more information about regional availability, see regions.


With two exceptions, standard voices are created from samples that use a 16 khz sample rate. The en-US-AriaRUS and en-US-GuyRUS voices are also created from samples that use a 24 khz sample rate. All voices can upsample or downsample to other sample rates when synthesizing.

Language Locale (BCP-47) Gender Voice name
Arabic (Arabic ) ar-EG Female ar-EG-Hoda
Arabic (Saudi Arabia) ar-SA Male ar-SA-Naayf
Bulgarian (Bulgaria) bg-BG Male bg-BG-Ivan
Catalan (Spain) ca-ES Female ca-ES-HerenaRUS
Chinese (Cantonese, Traditional) zh-HK Male zh-HK-Danny
Chinese (Cantonese, Traditional) zh-HK Female zh-HK-TracyRUS
Chinese (Mandarin, Simplified) zh-CN Female zh-CN-HuihuiRUS
Chinese (Mandarin, Simplified) zh-CN Male zh-CN-Kangkang
Chinese (Mandarin, Simplified) zh-CN Female zh-CN-Yaoyao
Chinese (Taiwanese Mandarin) zh-TW Female zh-TW-HanHanRUS
Chinese (Taiwanese Mandarin) zh-TW Female zh-TW-Yating
Chinese (Taiwanese Mandarin) zh-TW Male zh-TW-Zhiwei
Croatian (Croatia) hr-HR Male hr-HR-Matej
Czech (Czech Republic) cs-CZ Male cs-CZ-Jakub
Danish (Denmark) da-DK Female da-DK-HelleRUS
Dutch (Netherlands) nl-NL Female nl-NL-HannaRUS
English (Australia) en-AU Female en-AU-Catherine
English (Australia) en-AU Female en-AU-HayleyRUS
English (Canada) en-CA Female en-CA-HeatherRUS
English (Canada) en-CA Female en-CA-Linda
English (India) en-IN Female en-IN-Heera
English (India) en-IN Female en-IN-PriyaRUS
English (India) en-IN Male en-IN-Ravi
English (Ireland) en-IE Male en-IE-Sean
English (United Kingdom) en-GB Male en-GB-George
English (United Kingdom) en-GB Female en-GB-HazelRUS
English (United Kingdom) en-GB Female en-GB-Susan
English (United States) en-US Male en-US-BenjaminRUS
English (United States) en-US Male en-US-GuyRUS
English (United States) en-US Female en-US-AriaRUS
English (United States) en-US Female en-US-ZiraRUS
Finnish (Finland) fi-FI Female fi-FI-HeidiRUS
French (Canada) fr-CA Female fr-CA-Caroline
French (Canada) fr-CA Female fr-CA-HarmonieRUS
French (France) fr-FR Female fr-FR-HortenseRUS
French (France) fr-FR Female fr-FR-Julie
French (France) fr-FR Male fr-FR-Paul
French (Switzerland) fr-CH Male fr-CH-Guillaume
German (Austria) de-AT Male de-AT-Michael
German (Germany) de-DE Female de-DE-HeddaRUS
German (Germany) de-DE Male de-DE-Stefan
German (Switzerland) de-CH Male de-CH-Karsten
Greek (Greece) el-GR Male el-GR-Stefanos
Hebrew (Israel) he-IL Male he-IL-Asaf
Hindi (India) hi-IN Male hi-IN-Hemant
Hindi (India) hi-IN Female hi-IN-Kalpana
Hungarian (Hungary) hu-HU Male hu-HU-Szabolcs
Indonesian (Indonesia) id-ID Male id-ID-Andika
Italian (Italy) it-IT Male it-IT-Cosimo
Italian (Italy) it-IT Female it-IT-LuciaRUS
Japanese (Japan) ja-JP Female ja-JP-Ayumi
Japanese (Japan) ja-JP Female ja-JP-HarukaRUS
Japanese (Japan) ja-JP Male ja-JP-Ichiro
Korean (Korea) ko-KR Female ko-KR-HeamiRUS
Malay (Malaysia) ms-MY Male ms-MY-Rizwan
Norwegian (Bokmål, Norway) nb-NO Female nb-NO-HuldaRUS
Polish (Poland) pl-PL Female pl-PL-PaulinaRUS
Portuguese (Brazil) pt-BR Male pt-BR-Daniel
Portuguese (Brazil) pt-BR Female pt-BR-HeloisaRUS
Portuguese (Portugal) pt-PT Female pt-PT-HeliaRUS
Romanian (Romania) ro-RO Male ro-RO-Andrei
Russian (Russia) ru-RU Female ru-RU-EkaterinaRUS
Russian (Russia) ru-RU Female ru-RU-Irina
Russian (Russia) ru-RU Male ru-RU-Pavel
Slovak (Slovakia) sk-SK Male sk-SK-Filip
Slovenian (Slovenia) sl-SI Male sl-SI-Lado
Spanish (Mexico) es-MX Female es-MX-HildaRUS
Spanish (Mexico) es-MX Male es-MX-Raul
Spanish (Spain) es-ES Female es-ES-HelenaRUS
Spanish (Spain) es-ES Female es-ES-Laura
Spanish (Spain) es-ES Male es-ES-Pablo
Swedish (Sweden) sv-SE Female sv-SE-HedvigRUS
Tamil (India) ta-IN Male ta-IN-Valluvar
Telugu (India) te-IN Female te-IN-Chitra
Thai (Thailand) th-TH Male th-TH-Pattara
Turkish (Turkey) tr-TR Female tr-TR-SedaRUS
Vietnamese (Vietnam) vi-VN Male vi-VN-An


The en-US-Jessa voice has changed to en-US-Aria. If you were using "Jessa" before, convert over to "Aria".


You can continue to use the full service name mapping like "Microsoft Server Speech Text to Speech Voice (en-US, AriaRUS)" in your speech synthesis requests.


Custom Voice is available in the standard and the neural tier. The languages supported are different for these two tiers.

Language Locale Standard Neural
Chinese (Mandarin, Simplified) zh-CN Yes Yes
Chinese (Mandarin, Simplified), English bilingual zh-CN bilingual Yes Yes
English (Australia) en-AU No Yes
English (India) en-IN Yes Yes
English (United Kingdom) en-GB Yes Yes
English (United States) en-US Yes Yes
French (Canada) fr-CA No Yes
French (France) fr-FR Yes Yes
German (Germany) de-DE Yes Yes
Italian (Italy) it-IT Yes Yes
Japanese (Japan) ja-JP No Yes
Korean (Korea) ko-KR No Yes
Portuguese (Brazil) pt-BR Yes Yes
Spanish (Mexico) es-MX Yes Yes
Spanish (Spain) es-ES No Yes

Select the right locale that matches the training data you have to train a custom voice model. For example, if the recording data you have is spoken in English with a British accent, select en-GB.


We do not support bi-lingual model training in Custom Voice, except for the Chinese-English bi-lingual. Select "Chinese-English bilingual" if you want to train a Chinese voice that can speak English as well. Chinese-English bilingual model training using the standard method is available in North Europe and North Central US only. Custom Neural Voice training is available in UK South and East US.

Speech translation

The Speech Translation API supports different languages for speech-to-speech and speech-to-text translation. The source language must always be from the Speech-to-text language table. The available target languages depend on whether the translation target is speech or text. You may translate incoming speech into more than 60 languages. A subset of languages are available for speech synthesis.

Text languages

Text language Language code
Afrikaans af
Arabic ar
Bangla bn
Bosnian (Latin) bs
Bulgarian bg
Cantonese (Traditional) yue
Catalan ca
Chinese Simplified zh-Hans
Chinese Traditional zh-Hant
Croatian hr
Czech cs
Danish da
Dutch nl
English en
Estonian et
Fijian fj
Filipino fil
Finnish fi
French fr
German de
Greek el
Gujarati gu
Haitian Creole ht
Hebrew he
Hindi hi
Hmong Daw mww
Hungarian hu
Indonesian id
Irish ga
Italian it
Japanese ja
Kannada kn
Kiswahili sw
Klingon tlh-Latn
Klingon (plqaD) tlh-Piqd
Korean ko
Latvian lv
Lithuanian lt
Malagasy mg
Malay ms
Malayalam ml
Maltese mt
Maori mi
Marathi mr
Norwegian nb
Persian fa
Polish pl
Portuguese (Brazil) pt-br
Portuguese (Portugal) pt-pt
Punjabi pa
Queretaro Otomi otq
Romanian ro
Russian ru
Samoan sm
Serbian (Cyrillic) sr-Cyrl
Serbian (Latin) sr-Latn
Slovak sk
Slovenian sl
Spanish es
Swedish sv
Tahitian ty
Tamil ta
Telugu te
Thai th
Tongan to
Turkish tr
Ukrainian uk
Urdu ur
Vietnamese vi
Welsh cy
Yucatec Maya yua

Speaker Recognition

See the following table for supported languages for the various Speaker Recognition APIs. See the overview for additional information on Speaker Recognition.

Language Locale (BCP-47) Text-dependent verification Text-independent verification Text-independent identification
English (US) en-US yes yes yes
Chinese (Mandarin, simplified) zh-CN n/a yes yes
English (Australia) en-AU n/a yes yes
English (Canada) en-CA n/a yes yes
English (UK) en-GB n/a yes yes
French (Canada) fr-CA n/a yes yes
French (France) fr-FR n/a yes yes
German (Germany) de-DE n/a yes yes
Italian it-IT n/a yes yes
Japanese ja-JP n/a yes yes
Portuguese (Brazil) pt-BR n/a yes yes
Spanish (Mexico) es-MX n/a yes yes
Spanish (Spain) es-ES n/a yes yes

Next steps