Text to speech
Technology allows anyone to pass a text to speech in a few minutes and online. These technological advances represent an evolution that allows textual content to be quickly reproduced and even translated into audio format.
Currently, many tools make it easier for people with visual or comprehension problems or who lack time to read to listen to the content written in a document.
All this is thanks to text-to-speech (TTS) technology, which can convert written text into an artificial voice. Mainly these voices are used as support in the support and communication of companies, as well as to help in the accessibility and audibility of information to people with vision problems, learning/reading difficulties, or people with dyslexia.
Although it is also true that they are useful for those who want to listen to written content while doing something else and even read books, documents, and children's stories.
The tool is simple, versatile, and possesses a natural sound. In addition, it allows you to select between a variety of male or female voices, control the volume, speed, and key and save it as a file.
Why OT Toolz for Text to Speech?
No Sign up needed unlimited text-to-speech, and plenty of options in different languages.
What is a text to audio converter?
OT Toolz is a text converter that helps you create audio using artificial intelligence. This tool can generate a synthetic voice for your text content, creating high-quality audio content without recording it yourself.
You can customize the reading speed, pitch, and accent to suit your needs. Narakeet offers multiple languages and voices to choose from, allowing you to create audio content in multiple languages. It is a very useful tool for creating videos, podcasts, tutorials, stories, and more.
How to play a text in voice?
To reproduce your text-to-speech, you only have to enter text in and select "submit." Once you've selected the voice you want to use, you'll be able to listen to a sample of what it sounds like before downloading the generated audio file.
In addition, OT Toolz text-to-speech free allows you to download the audio file in different formats, such as MP3, WAV, and M4A, so that you can use it on different platforms.
How many languages does our text-to-speech have?
Our tool supports 400+ languages and modules. For example, if you want to use Arabic, use "ar-XA" in the language code; this way, you can use any language and convert easily.
| Afrikaans (South Africa) | Standard | af-ZA | af-ZA-Standard-A | FEMALE |
| Arabic | Standard | ar-XA | ar-XA-Standard-A | FEMALE |
| Arabic | Standard | ar-XA | ar-XA-Standard-B | MALE |
| Arabic | Standard | ar-XA | ar-XA-Standard-C | MALE |
| Arabic | Standard | ar-XA | ar-XA-Standard-D | FEMALE |
| Arabic | WaveNet | ar-XA | ar-XA-Wavenet-A | FEMALE |
| Arabic | WaveNet | ar-XA | ar-XA-Wavenet-B | MALE |
| Arabic | WaveNet | ar-XA | ar-XA-Wavenet-C | MALE |
| Arabic | WaveNet | ar-XA | ar-XA-Wavenet-D | FEMALE |
| Basque (Spain) | Standard | eu-ES | eu-ES-Standard-A | FEMALE |
| Bengali (India) | Standard | bn-IN | bn-IN-Standard-A | FEMALE |
| Bengali (India) | Standard | bn-IN | bn-IN-Standard-B | MALE |
| Bengali (India) | WaveNet | bn-IN | bn-IN-Wavenet-A | FEMALE |
| Bengali (India) | WaveNet | bn-IN | bn-IN-Wavenet-B | MALE |
| Bulgarian (Bulgaria) | Standard | bg-BG | bg-BG-Standard-A | FEMALE |
| Catalan (Spain) | Standard | ca-ES | ca-ES-Standard-A | FEMALE |
| Chinese (Hong Kong) | Standard | yue-HK | yue-HK-Standard-A | FEMALE |
| Chinese (Hong Kong) | Standard | yue-HK | yue-HK-Standard-B | MALE |
| Chinese (Hong Kong) | Standard | yue-HK | yue-HK-Standard-C | FEMALE |
| Chinese (Hong Kong) | Standard | yue-HK | yue-HK-Standard-D | MALE |
| Czech (Czech Republic) | Standard | cs-CZ | cs-CZ-Standard-A | FEMALE |
| Czech (Czech Republic) | WaveNet | cs-CZ | cs-CZ-Wavenet-A | FEMALE |
| Danish (Denmark) | Standard | da-DK | da-DK-Standard-A | FEMALE |
| Danish (Denmark) | Standard | da-DK | da-DK-Standard-C | MALE |
| Danish (Denmark) | Standard | da-DK | da-DK-Standard-D | FEMALE |
| Danish (Denmark) | Standard | da-DK | da-DK-Standard-E | FEMALE |
| Danish (Denmark) | WaveNet | da-DK | da-DK-Wavenet-A | FEMALE |
| Danish (Denmark) | WaveNet | da-DK | da-DK-Wavenet-C | MALE |
| Danish (Denmark) | WaveNet | da-DK | da-DK-Wavenet-D | FEMALE |
| Danish (Denmark) | WaveNet | da-DK | da-DK-Wavenet-E | FEMALE |
| Dutch (Belgium) | Standard | nl-BE | nl-BE-Standard-A | FEMALE |
| Dutch (Belgium) | Standard | nl-BE | nl-BE-Standard-B | MALE |
| Dutch (Belgium) | WaveNet | nl-BE | nl-BE-Wavenet-A | FEMALE |
| Dutch (Belgium) | WaveNet | nl-BE | nl-BE-Wavenet-B | MALE |
| Dutch (Netherlands) | Standard | nl-NL | nl-NL-Standard-A | FEMALE |
| Dutch (Netherlands) | Standard | nl-NL | nl-NL-Standard-B | MALE |
| Dutch (Netherlands) | Standard | nl-NL | nl-NL-Standard-C | MALE |
| Dutch (Netherlands) | Standard | nl-NL | nl-NL-Standard-D | FEMALE |
| Dutch (Netherlands) | Standard | nl-NL | nl-NL-Standard-E | FEMALE |
| Dutch (Netherlands) | WaveNet | nl-NL | nl-NL-Wavenet-A | FEMALE |
| Dutch (Netherlands) | WaveNet | nl-NL | nl-NL-Wavenet-B | MALE |
| Dutch (Netherlands) | WaveNet | nl-NL | nl-NL-Wavenet-C | MALE |
| Dutch (Netherlands) | WaveNet | nl-NL | nl-NL-Wavenet-D | FEMALE |
| Dutch (Netherlands) | WaveNet | nl-NL | nl-NL-Wavenet-E | FEMALE |
| English (Australia) | Neural2 | en-AU | en-AU-Neural2-A | FEMALE |
| English (Australia) | Neural2 | en-AU | en-AU-Neural2-B | MALE |
| English (Australia) | Neural2 | en-AU | en-AU-Neural2-C | FEMALE |
| English (Australia) | Neural2 | en-AU | en-AU-Neural2-D | MALE |
| English (Australia) | WaveNet | en-AU | en-AU-News-E | FEMALE |
| English (Australia) | WaveNet | en-AU | en-AU-News-F | FEMALE |
| English (Australia) | WaveNet | en-AU | en-AU-News-G | MALE |
| English (Australia) | Standard | en-AU | en-AU-Standard-A | FEMALE |
| English (Australia) | Standard | en-AU | en-AU-Standard-B | MALE |
| English (Australia) | Standard | en-AU | en-AU-Standard-C | FEMALE |
| English (Australia) | Standard | en-AU | en-AU-Standard-D | MALE |
| English (Australia) | WaveNet | en-AU | en-AU-Wavenet-A | FEMALE |
| English (Australia) | WaveNet | en-AU | en-AU-Wavenet-B | MALE |
| English (Australia) | WaveNet | en-AU | en-AU-Wavenet-C | FEMALE |
| English (Australia) | WaveNet | en-AU | en-AU-Wavenet-D | MALE |
| English (India) | Standard | en-IN | en-IN-Standard-A | FEMALE |
| English (India) | Standard | en-IN | en-IN-Standard-B | MALE |
| English (India) | Standard | en-IN | en-IN-Standard-C | MALE |
| English (India) | Standard | en-IN | en-IN-Standard-D | FEMALE |
| English (India) | WaveNet | en-IN | en-IN-Wavenet-A | FEMALE |
| English (India) | WaveNet | en-IN | en-IN-Wavenet-B | MALE |
| English (India) | WaveNet | en-IN | en-IN-Wavenet-C | MALE |
| English (India) | WaveNet | en-IN | en-IN-Wavenet-D | FEMALE |
| English (UK) | Neural2 | en-GB | en-GB-Neural2-A | FEMALE |
| English (UK) | Neural2 | en-GB | en-GB-Neural2-B | MALE |
| English (UK) | Neural2 | en-GB | en-GB-Neural2-C | FEMALE |
| English (UK) | Neural2 | en-GB | en-GB-Neural2-D | MALE |
| English (UK) | Neural2 | en-GB | en-GB-Neural2-F | FEMALE |
| English (UK) | WaveNet | en-GB | en-GB-News-G | FEMALE |
| English (UK) | WaveNet | en-GB | en-GB-News-H | FEMALE |
| English (UK) | WaveNet | en-GB | en-GB-News-I | FEMALE |
| English (UK) | WaveNet | en-GB | en-GB-News-J | MALE |
| English (UK) | WaveNet | en-GB | en-GB-News-K | MALE |
| English (UK) | WaveNet | en-GB | en-GB-News-L | MALE |
| English (UK) | WaveNet | en-GB | en-GB-News-M | MALE |
| English (UK) | Standard | en-GB | en-GB-Standard-A | FEMALE |
| English (UK) | Standard | en-GB | en-GB-Standard-B | MALE |
| English (UK) | Standard | en-GB | en-GB-Standard-C | FEMALE |
| English (UK) | Standard | en-GB | en-GB-Standard-D | MALE |
| English (UK) | Standard | en-GB | en-GB-Standard-F | FEMALE |
| English (UK) | WaveNet | en-GB | en-GB-Wavenet-A | FEMALE |
| English (UK) | WaveNet | en-GB | en-GB-Wavenet-B | MALE |
| English (UK) | WaveNet | en-GB | en-GB-Wavenet-C | FEMALE |
| English (UK) | WaveNet | en-GB | en-GB-Wavenet-D | MALE |
| English (UK) | WaveNet | en-GB | en-GB-Wavenet-F | FEMALE |
| English (US) | Neural2 | en-US | en-US-Neural2-A | MALE |
| English (US) | Neural2 | en-US | en-US-Neural2-C | FEMALE |
| English (US) | Neural2 | en-US | en-US-Neural2-D | MALE |
| English (US) | Neural2 | en-US | en-US-Neural2-E | FEMALE |
| English (US) | Neural2 | en-US | en-US-Neural2-F | FEMALE |
| English (US) | Neural2 | en-US | en-US-Neural2-G | FEMALE |
| English (US) | Neural2 | en-US | en-US-Neural2-H | FEMALE |
| English (US) | Neural2 | en-US | en-US-Neural2-I | MALE |
| English (US) | Neural2 | en-US | en-US-Neural2-J | MALE |
| English (US) | WaveNet | en-US | en-US-News-K | FEMALE |
| English (US) | WaveNet | en-US | en-US-News-L | FEMALE |
| English (US) | WaveNet | en-US | en-US-News-M | MALE |
| English (US) | WaveNet | en-US | en-US-News-N | MALE |
| English (US) | Standard | en-US | en-US-Standard-A | MALE |
| English (US) | Standard | en-US | en-US-Standard-B | MALE |
| English (US) | Standard | en-US | en-US-Standard-C | FEMALE |
| English (US) | Standard | en-US | en-US-Standard-D | MALE |
| English (US) | Standard | en-US | en-US-Standard-E | FEMALE |
| English (US) | Standard | en-US | en-US-Standard-F | FEMALE |
| English (US) | Standard | en-US | en-US-Standard-G | FEMALE |
| English (US) | Standard | en-US | en-US-Standard-H | FEMALE |
| English (US) | Standard | en-US | en-US-Standard-I | MALE |
| English (US) | Standard | en-US | en-US-Standard-J | MALE |
| English (US) | Studio | en-US | en-US-Studio-M | MALE |
| English (US) | Studio | en-US | en-US-Studio-O | FEMALE |
| English (US) | WaveNet | en-US | en-US-Wavenet-A | MALE |
| English (US) | WaveNet | en-US | en-US-Wavenet-B | MALE |
| English (US) | WaveNet | en-US | en-US-Wavenet-C | FEMALE |
| English (US) | WaveNet | en-US | en-US-Wavenet-D | MALE |
| English (US) | WaveNet | en-US | en-US-Wavenet-E | FEMALE |
| English (US) | WaveNet | en-US | en-US-Wavenet-F | FEMALE |
| English (US) | WaveNet | en-US | en-US-Wavenet-G | FEMALE |
| English (US) | WaveNet | en-US | en-US-Wavenet-H | FEMALE |
| English (US) | WaveNet | en-US | en-US-Wavenet-I | MALE |
| English (US) | WaveNet | en-US | en-US-Wavenet-J | MALE |
| Filipino (Philippines) | Standard | fil-PH | fil-PH-Standard-A | FEMALE |
| Filipino (Philippines) | Standard | fil-PH | fil-PH-Standard-B | FEMALE |
| Filipino (Philippines) | Standard | fil-PH | fil-PH-Standard-C | MALE |
| Filipino (Philippines) | Standard | fil-PH | fil-PH-Standard-D | MALE |
| Filipino (Philippines) | WaveNet | fil-PH | fil-PH-Wavenet-A | FEMALE |
| Filipino (Philippines) | WaveNet | fil-PH | fil-PH-Wavenet-B | FEMALE |
| Filipino (Philippines) | WaveNet | fil-PH | fil-PH-Wavenet-C | MALE |
| Filipino (Philippines) | WaveNet | fil-PH | fil-PH-Wavenet-D | MALE |
| Finnish (Finland) | Standard | fi-FI | fi-FI-Standard-A | FEMALE |
| Finnish (Finland) | WaveNet | fi-FI | fi-FI-Wavenet-A | FEMALE |
| French (Canada) | Neural2 | fr-CA | fr-CA-Neural2-A | FEMALE |
| French (Canada) | Neural2 | fr-CA | fr-CA-Neural2-B | MALE |
| French (Canada) | Neural2 | fr-CA | fr-CA-Neural2-C | FEMALE |
| French (Canada) | Neural2 | fr-CA | fr-CA-Neural2-D | MALE |
| French (Canada) | Standard | fr-CA | fr-CA-Standard-A | FEMALE |
| French (Canada) | Standard | fr-CA | fr-CA-Standard-B | MALE |
| French (Canada) | Standard | fr-CA | fr-CA-Standard-C | FEMALE |
| French (Canada) | Standard | fr-CA | fr-CA-Standard-D | MALE |
| French (Canada) | WaveNet | fr-CA | fr-CA-Wavenet-A | FEMALE |
| French (Canada) | WaveNet | fr-CA | fr-CA-Wavenet-B | MALE |
| French (Canada) | WaveNet | fr-CA | fr-CA-Wavenet-C | FEMALE |
| French (Canada) | WaveNet | fr-CA | fr-CA-Wavenet-D | MALE |
| French (France) | Neural2 | fr-FR | fr-FR-Neural2-A | FEMALE |
| French (France) | Neural2 | fr-FR | fr-FR-Neural2-B | MALE |
| French (France) | Neural2 | fr-FR | fr-FR-Neural2-C | FEMALE |
| French (France) | Neural2 | fr-FR | fr-FR-Neural2-D | MALE |
| French (France) | Neural2 | fr-FR | fr-FR-Neural2-E | FEMALE |
| French (France) | Standard | fr-FR | fr-FR-Standard-A | FEMALE |
| French (France) | Standard | fr-FR | fr-FR-Standard-B | MALE |
| French (France) | Standard | fr-FR | fr-FR-Standard-C | FEMALE |
| French (France) | Standard | fr-FR | fr-FR-Standard-D | MALE |
| French (France) | Standard | fr-FR | fr-FR-Standard-E | FEMALE |
| French (France) | WaveNet | fr-FR | fr-FR-Wavenet-A | FEMALE |
| French (France) | WaveNet | fr-FR | fr-FR-Wavenet-B | MALE |
| French (France) | WaveNet | fr-FR | fr-FR-Wavenet-C | FEMALE |
| French (France) | WaveNet | fr-FR | fr-FR-Wavenet-D | MALE |
| French (France) | WaveNet | fr-FR | fr-FR-Wavenet-E | FEMALE |
| Galician (Spain) | Standard | gl-ES | gl-ES-Standard-A | FEMALE |
| German (Germany) | Neural2 | de-DE | de-DE-Neural2-D | MALE |
| German (Germany) | Neural2 | de-DE | de-DE-Neural2-F | FEMALE |
| German (Germany) | Standard | de-DE | de-DE-Standard-A | FEMALE |
| German (Germany) | Standard | de-DE | de-DE-Standard-B | MALE |
| German (Germany) | Standard | de-DE | de-DE-Standard-C | FEMALE |
| German (Germany) | Standard | de-DE | de-DE-Standard-D | MALE |
| German (Germany) | Standard | de-DE | de-DE-Standard-E | MALE |
| German (Germany) | Standard | de-DE | de-DE-Standard-F | FEMALE |
| German (Germany) | WaveNet | de-DE | de-DE-Wavenet-A | FEMALE |
| German (Germany) | WaveNet | de-DE | de-DE-Wavenet-B | MALE |
| German (Germany) | WaveNet | de-DE | de-DE-Wavenet-C | FEMALE |
| German (Germany) | WaveNet | de-DE | de-DE-Wavenet-D | MALE |
| German (Germany) | WaveNet | de-DE | de-DE-Wavenet-E | MALE |
| German (Germany) | WaveNet | de-DE | de-DE-Wavenet-F | FEMALE |
| Greek (Greece) | Standard | el-GR | el-GR-Standard-A | FEMALE |
| Greek (Greece) | WaveNet | el-GR | el-GR-Wavenet-A | FEMALE |
| Gujarati (India) | Standard | gu-IN | gu-IN-Standard-A | FEMALE |
| Gujarati (India) | Standard | gu-IN | gu-IN-Standard-B | MALE |
| Gujarati (India) | WaveNet | gu-IN | gu-IN-Wavenet-A | FEMALE |
| Gujarati (India) | WaveNet | gu-IN | gu-IN-Wavenet-B | MALE |
| Hebrew (Israel) | Standard | he-IL | he-IL-Standard-A | FEMALE |
| Hebrew (Israel) | Standard | he-IL | he-IL-Standard-B | MALE |
| Hebrew (Israel) | Standard | he-IL | he-IL-Standard-C | FEMALE |
| Hebrew (Israel) | Standard | he-IL | he-IL-Standard-D | MALE |
| Hindi (India) | Neural2 | hi-IN | hi-IN-Neural2-A | FEMALE |
| Hindi (India) | Neural2 | hi-IN | hi-IN-Neural2-B | MALE |
| Hindi (India) | Neural2 | hi-IN | hi-IN-Neural2-C | MALE |
| Hindi (India) | Neural2 | hi-IN | hi-IN-Neural2-D | FEMALE |
| Hindi (India) | Standard | hi-IN | hi-IN-Standard-A | FEMALE |
| Hindi (India) | Standard | hi-IN | hi-IN-Standard-B | MALE |
| Hindi (India) | Standard | hi-IN | hi-IN-Standard-C | MALE |
| Hindi (India) | Standard | hi-IN | hi-IN-Standard-D | FEMALE |
| Hindi (India) | WaveNet | hi-IN | hi-IN-Wavenet-A | FEMALE |
| Hindi (India) | WaveNet | hi-IN | hi-IN-Wavenet-B | MALE |
| Hindi (India) | WaveNet | hi-IN | hi-IN-Wavenet-C | MALE |
| Hindi (India) | WaveNet | hi-IN | hi-IN-Wavenet-D | FEMALE |
| Hungarian (Hungary) | Standard | hu-HU | hu-HU-Standard-A | FEMALE |
| Hungarian (Hungary) | WaveNet | hu-HU | hu-HU-Wavenet-A | FEMALE |
| Icelandic (Iceland) | Standard | is-IS | is-IS-Standard-A | FEMALE |
| Indonesian (Indonesia) | Standard | id-ID | id-ID-Standard-A | FEMALE |
| Indonesian (Indonesia) | Standard | id-ID | id-ID-Standard-B | MALE |
| Indonesian (Indonesia) | Standard | id-ID | id-ID-Standard-C | MALE |
| Indonesian (Indonesia) | Standard | id-ID | id-ID-Standard-D | FEMALE |
| Indonesian (Indonesia) | WaveNet | id-ID | id-ID-Wavenet-A | FEMALE |
| Indonesian (Indonesia) | WaveNet | id-ID | id-ID-Wavenet-B | MALE |
| Indonesian (Indonesia) | WaveNet | id-ID | id-ID-Wavenet-C | MALE |
| Indonesian (Indonesia) | WaveNet | id-ID | id-ID-Wavenet-D | FEMALE |
| Italian (Italy) | Neural2 | it-IT | it-IT-Neural2-A | FEMALE |
| Italian (Italy) | Neural2 | it-IT | it-IT-Neural2-C | MALE |
| Italian (Italy) | Standard | it-IT | it-IT-Standard-A | FEMALE |
| Italian (Italy) | Standard | it-IT | it-IT-Standard-B | FEMALE |
| Italian (Italy) | Standard | it-IT | it-IT-Standard-C | MALE |
| Italian (Italy) | Standard | it-IT | it-IT-Standard-D | MALE |
| Italian (Italy) | WaveNet | it-IT | it-IT-Wavenet-A | FEMALE |
| Italian (Italy) | WaveNet | it-IT | it-IT-Wavenet-B | FEMALE |
| Italian (Italy) | WaveNet | it-IT | it-IT-Wavenet-C | MALE |
| Italian (Italy) | WaveNet | it-IT | it-IT-Wavenet-D | MALE |
| Japanese (Japan) | Neural2 | ja-JP | ja-JP-Neural2-B | FEMALE |
| Japanese (Japan) | Neural2 | ja-JP | ja-JP-Neural2-C | MALE |
| Japanese (Japan) | Neural2 | ja-JP | ja-JP-Neural2-D | MALE |
| Japanese (Japan) | Standard | ja-JP | ja-JP-Standard-A | FEMALE |
| Japanese (Japan) | Standard | ja-JP | ja-JP-Standard-B | FEMALE |
| Japanese (Japan) | Standard | ja-JP | ja-JP-Standard-C | MALE |
| Japanese (Japan) | Standard | ja-JP | ja-JP-Standard-D | MALE |
| Japanese (Japan) | WaveNet | ja-JP | ja-JP-Wavenet-A | FEMALE |
| Japanese (Japan) | WaveNet | ja-JP | ja-JP-Wavenet-B | FEMALE |
| Japanese (Japan) | WaveNet | ja-JP | ja-JP-Wavenet-C | MALE |
| Japanese (Japan) | WaveNet | ja-JP | ja-JP-Wavenet-D | MALE |
| Kannada (India) | Standard | kn-IN | kn-IN-Standard-A | FEMALE |
| Kannada (India) | Standard | kn-IN | kn-IN-Standard-B | MALE |
| Kannada (India) | WaveNet | kn-IN | kn-IN-Wavenet-A | FEMALE |
| Kannada (India) | WaveNet | kn-IN | kn-IN-Wavenet-B | MALE |
| Korean (South Korea) | Neural2 | ko-KR | ko-KR-Neural2-A | FEMALE |
| Korean (South Korea) | Neural2 | ko-KR | ko-KR-Neural2-B | FEMALE |
| Korean (South Korea) | Neural2 | ko-KR | ko-KR-Neural2-C | MALE |
| Korean (South Korea) | Standard | ko-KR | ko-KR-Standard-A | FEMALE |
| Korean (South Korea) | Standard | ko-KR | ko-KR-Standard-B | FEMALE |
| Korean (South Korea) | Standard | ko-KR | ko-KR-Standard-C | MALE |
| Korean (South Korea) | Standard | ko-KR | ko-KR-Standard-D | MALE |
| Korean (South Korea) | WaveNet | ko-KR | ko-KR-Wavenet-A | FEMALE |
| Korean (South Korea) | WaveNet | ko-KR | ko-KR-Wavenet-B | FEMALE |
| Korean (South Korea) | WaveNet | ko-KR | ko-KR-Wavenet-C | MALE |
| Korean (South Korea) | WaveNet | ko-KR | ko-KR-Wavenet-D | MALE |
| Latvian (Latvia) | Standard | lv-LV | lv-LV-Standard-A | MALE |
| Malay (Malaysia) | Standard | ms-MY | ms-MY-Standard-A | FEMALE |
| Malay (Malaysia) | Standard | ms-MY | ms-MY-Standard-B | MALE |
| Malay (Malaysia) | Standard | ms-MY | ms-MY-Standard-C | FEMALE |
| Malay (Malaysia) | Standard | ms-MY | ms-MY-Standard-D | MALE |
| Malay (Malaysia) | WaveNet | ms-MY | ms-MY-Wavenet-A | FEMALE |
| Malay (Malaysia) | WaveNet | ms-MY | ms-MY-Wavenet-B | MALE |
| Malay (Malaysia) | WaveNet | ms-MY | ms-MY-Wavenet-C | FEMALE |
| Malay (Malaysia) | WaveNet | ms-MY | ms-MY-Wavenet-D | MALE |
| Malayalam (India) | Standard | ml-IN | ml-IN-Standard-A | FEMALE |
| Malayalam (India) | Standard | ml-IN | ml-IN-Standard-B | MALE |
| Malayalam (India) | WaveNet | ml-IN | ml-IN-Wavenet-A | FEMALE |
| Malayalam (India) | WaveNet | ml-IN | ml-IN-Wavenet-B | MALE |
| Malayalam (India) | WaveNet | ml-IN | ml-IN-Wavenet-C | FEMALE |
| Malayalam (India) | WaveNet | ml-IN | ml-IN-Wavenet-D | MALE |
| Mandarin Chinese | Standard | cmn-CN | cmn-CN-Standard-A | FEMALE |
| Mandarin Chinese | Standard | cmn-CN | cmn-CN-Standard-B | MALE |
| Mandarin Chinese | Standard | cmn-CN | cmn-CN-Standard-C | MALE |
| Mandarin Chinese | Standard | cmn-CN | cmn-CN-Standard-D | FEMALE |
| Mandarin Chinese | WaveNet | cmn-CN | cmn-CN-Wavenet-A | FEMALE |
| Mandarin Chinese | WaveNet | cmn-CN | cmn-CN-Wavenet-B | MALE |
| Mandarin Chinese | WaveNet | cmn-CN | cmn-CN-Wavenet-C | MALE |
| Mandarin Chinese | WaveNet | cmn-CN | cmn-CN-Wavenet-D | FEMALE |
| Mandarin Chinese | Standard | cmn-TW | cmn-TW-Standard-A | FEMALE |
| Mandarin Chinese | Standard | cmn-TW | cmn-TW-Standard-B | MALE |
| Mandarin Chinese | Standard | cmn-TW | cmn-TW-Standard-C | MALE |
| Mandarin Chinese | WaveNet | cmn-TW | cmn-TW-Wavenet-A | FEMALE |
| Mandarin Chinese | WaveNet | cmn-TW | cmn-TW-Wavenet-B | MALE |
| Mandarin Chinese | WaveNet | cmn-TW | cmn-TW-Wavenet-C | MALE |
| Marathi (India) | Standard | mr-IN | mr-IN-Standard-A | FEMALE |
| Marathi (India) | Standard | mr-IN | mr-IN-Standard-B | MALE |
| Marathi (India) | Standard | mr-IN | mr-IN-Standard-C | FEMALE |
| Marathi (India) | WaveNet | mr-IN | mr-IN-Wavenet-A | FEMALE |
| Marathi (India) | WaveNet | mr-IN | mr-IN-Wavenet-B | MALE |
| Marathi (India) | WaveNet | mr-IN | mr-IN-Wavenet-C | FEMALE |
| Norwegian (Norway) | Standard | nb-NO | nb-NO-Standard-A | FEMALE |
| Norwegian (Norway) | Standard | nb-NO | nb-NO-Standard-B | MALE |
| Norwegian (Norway) | Standard | nb-NO | nb-NO-Standard-C | FEMALE |
| Norwegian (Norway) | Standard | nb-NO | nb-NO-Standard-D | MALE |
| Norwegian (Norway) | Standard | nb-NO | nb-NO-Standard-E | FEMALE |
| Norwegian (Norway) | WaveNet | nb-NO | nb-NO-Wavenet-A | FEMALE |
| Norwegian (Norway) | WaveNet | nb-NO | nb-NO-Wavenet-B | MALE |
| Norwegian (Norway) | WaveNet | nb-NO | nb-NO-Wavenet-C | FEMALE |
| Norwegian (Norway) | WaveNet | nb-NO | nb-NO-Wavenet-D | MALE |
| Norwegian (Norway) | WaveNet | nb-NO | nb-NO-Wavenet-E | FEMALE |
| Polish (Poland) | Standard | pl-PL | pl-PL-Standard-A | FEMALE |
| Polish (Poland) | Standard | pl-PL | pl-PL-Standard-B | MALE |
| Polish (Poland) | Standard | pl-PL | pl-PL-Standard-C | MALE |
| Polish (Poland) | Standard | pl-PL | pl-PL-Standard-D | FEMALE |
| Polish (Poland) | Standard | pl-PL | pl-PL-Standard-E | FEMALE |
| Polish (Poland) | WaveNet | pl-PL | pl-PL-Wavenet-A | FEMALE |
| Polish (Poland) | WaveNet | pl-PL | pl-PL-Wavenet-B | MALE |
| Polish (Poland) | WaveNet | pl-PL | pl-PL-Wavenet-C | MALE |
| Polish (Poland) | WaveNet | pl-PL | pl-PL-Wavenet-D | FEMALE |
| Polish (Poland) | WaveNet | pl-PL | pl-PL-Wavenet-E | FEMALE |
| Portuguese (Brazil) | Neural2 | pt-BR | pt-BR-Neural2-A | FEMALE |
| Portuguese (Brazil) | Neural2 | pt-BR | pt-BR-Neural2-B | MALE |
| Portuguese (Brazil) | Neural2 | pt-BR | pt-BR-Neural2-C | FEMALE |
| Portuguese (Brazil) | Standard | pt-BR | pt-BR-Standard-A | FEMALE |
| Portuguese (Brazil) | Standard | pt-BR | pt-BR-Standard-B | MALE |
| Portuguese (Brazil) | Standard | pt-BR | pt-BR-Standard-C | FEMALE |
| Portuguese (Brazil) | WaveNet | pt-BR | pt-BR-Wavenet-A | FEMALE |
| Portuguese (Brazil) | WaveNet | pt-BR | pt-BR-Wavenet-B | MALE |
| Portuguese (Brazil) | WaveNet | pt-BR | pt-BR-Wavenet-C | FEMALE |
| Portuguese (Portugal) | Standard | pt-PT | pt-PT-Standard-A | FEMALE |
| Portuguese (Portugal) | Standard | pt-PT | pt-PT-Standard-B | MALE |
| Portuguese (Portugal) | Standard | pt-PT | pt-PT-Standard-C | MALE |
| Portuguese (Portugal) | Standard | pt-PT | pt-PT-Standard-D | FEMALE |
| Portuguese (Portugal) | WaveNet | pt-PT | pt-PT-Wavenet-A | FEMALE |
| Portuguese (Portugal) | WaveNet | pt-PT | pt-PT-Wavenet-B | MALE |
| Portuguese (Portugal) | WaveNet | pt-PT | pt-PT-Wavenet-C | MALE |
| Portuguese (Portugal) | WaveNet | pt-PT | pt-PT-Wavenet-D | FEMALE |
| Punjabi (India) | Standard | pa-IN | pa-IN-Standard-A | FEMALE |
| Punjabi (India) | Standard | pa-IN | pa-IN-Standard-B | MALE |
| Punjabi (India) | Standard | pa-IN | pa-IN-Standard-C | FEMALE |
| Punjabi (India) | Standard | pa-IN | pa-IN-Standard-D | MALE |
| Punjabi (India) | WaveNet | pa-IN | pa-IN-Wavenet-A | FEMALE |
| Punjabi (India) | WaveNet | pa-IN | pa-IN-Wavenet-B | MALE |
| Punjabi (India) | WaveNet | pa-IN | pa-IN-Wavenet-C | FEMALE |
| Punjabi (India) | WaveNet | pa-IN | pa-IN-Wavenet-D | MALE |
| Romanian (Romania) | Standard | ro-RO | ro-RO-Standard-A | FEMALE |
| Romanian (Romania) | WaveNet | ro-RO | ro-RO-Wavenet-A | FEMALE |
| Russian (Russia) | Standard | ru-RU | ru-RU-Standard-A | FEMALE |
| Russian (Russia) | Standard | ru-RU | ru-RU-Standard-B | MALE |
| Russian (Russia) | Standard | ru-RU | ru-RU-Standard-C | FEMALE |
| Russian (Russia) | Standard | ru-RU | ru-RU-Standard-D | MALE |
| Russian (Russia) | Standard | ru-RU | ru-RU-Standard-E | FEMALE |
| Russian (Russia) | WaveNet | ru-RU | ru-RU-Wavenet-A | FEMALE |
| Russian (Russia) | WaveNet | ru-RU | ru-RU-Wavenet-B | MALE |
| Russian (Russia) | WaveNet | ru-RU | ru-RU-Wavenet-C | FEMALE |
| Russian (Russia) | WaveNet | ru-RU | ru-RU-Wavenet-D | MALE |
| Russian (Russia) | WaveNet | ru-RU | ru-RU-Wavenet-E | FEMALE |
| Serbian (Cyrillic) | Standard | sr-RS | sr-rs-Standard-A | FEMALE |
| Slovak (Slovakia) | Standard | sk-SK | sk-SK-Standard-A | FEMALE |
| Slovak (Slovakia) | WaveNet | sk-SK | sk-SK-Wavenet-A | FEMALE |
| Spanish (Spain) | Neural2 | es-ES | es-ES-Neural2-A | FEMALE |
| Spanish (Spain) | Neural2 | es-ES | es-ES-Neural2-B | MALE |
| Spanish (Spain) | Neural2 | es-ES | es-ES-Neural2-C | FEMALE |
| Spanish (Spain) | Neural2 | es-ES | es-ES-Neural2-D | FEMALE |
| Spanish (Spain) | Neural2 | es-ES | es-ES-Neural2-E | FEMALE |
| Spanish (Spain) | Neural2 | es-ES | es-ES-Neural2-F | MALE |
| Spanish (Spain) | Standard | es-ES | es-ES-Standard-A | FEMALE |
| Spanish (Spain) | Standard | es-ES | es-ES-Standard-B | MALE |
| Spanish (Spain) | Standard | es-ES | es-ES-Standard-C | FEMALE |
| Spanish (Spain) | Standard | es-ES | es-ES-Standard-D | FEMALE |
| Spanish (Spain) | WaveNet | es-ES | es-ES-Wavenet-B | MALE |
| Spanish (Spain) | WaveNet | es-ES | es-ES-Wavenet-C | FEMALE |
| Spanish (Spain) | WaveNet | es-ES | es-ES-Wavenet-D | FEMALE |
| Spanish (US) | Neural2 | es-US | es-US-Neural2-A | FEMALE |
| Spanish (US) | Neural2 | es-US | es-US-Neural2-B | MALE |
| Spanish (US) | Neural2 | es-US | es-US-Neural2-C | MALE |
| Spanish (US) | WaveNet | es-US | es-US-News-D | MALE |
| Spanish (US) | WaveNet | es-US | es-US-News-E | MALE |
| Spanish (US) | WaveNet | es-US | es-US-News-F | FEMALE |
| Spanish (US) | WaveNet | es-US | es-US-News-G | FEMALE |
| Spanish (US) | Standard | es-US | es-US-Standard-A | FEMALE |
| Spanish (US) | Standard | es-US | es-US-Standard-B | MALE |
| Spanish (US) | Standard | es-US | es-US-Standard-C | MALE |
| Spanish (US) | WaveNet | es-US | es-US-Wavenet-A | FEMALE |
| Spanish (US) | WaveNet | es-US | es-US-Wavenet-B | MALE |
| Spanish (US) | WaveNet | es-US | es-US-Wavenet-C | MALE |
| Swedish (Sweden) | Standard | sv-SE | sv-SE-Standard-A | FEMALE |
| Swedish (Sweden) | Standard | sv-SE | sv-SE-Standard-B | FEMALE |
| Swedish (Sweden) | Standard | sv-SE | sv-SE-Standard-C | FEMALE |
| Swedish (Sweden) | Standard | sv-SE | sv-SE-Standard-D | MALE |
| Swedish (Sweden) | Standard | sv-SE | sv-SE-Standard-E | MALE |
| Swedish (Sweden) | WaveNet | sv-SE | sv-SE-Wavenet-A | FEMALE |
| Swedish (Sweden) | WaveNet | sv-SE | sv-SE-Wavenet-B | FEMALE |
| Swedish (Sweden) | WaveNet | sv-SE | sv-SE-Wavenet-C | MALE |
| Swedish (Sweden) | WaveNet | sv-SE | sv-SE-Wavenet-D | FEMALE |
| Swedish (Sweden) | WaveNet | sv-SE | sv-SE-Wavenet-E | MALE |
| Tamil (India) | Standard | ta-IN | ta-IN-Standard-A | FEMALE |
| Tamil (India) | Standard | ta-IN | ta-IN-Standard-B | MALE |
| Tamil (India) | Standard | ta-IN | ta-IN-Standard-C | FEMALE |
| Tamil (India) | Standard | ta-IN | ta-IN-Standard-D | MALE |
| Tamil (India) | WaveNet | ta-IN | ta-IN-Wavenet-A | FEMALE |
| Tamil (India) | WaveNet | ta-IN | ta-IN-Wavenet-B | MALE |
| Tamil (India) | WaveNet | ta-IN | ta-IN-Wavenet-C | FEMALE |
| Tamil (India) | WaveNet | ta-IN | ta-IN-Wavenet-D | MALE |
| Telugu (India) | Standard | te-IN | te-IN-Standard-A | FEMALE |
| Telugu (India) | Standard | te-IN | te-IN-Standard-B | MALE |
| Thai (Thailand) | Standard | th-TH | th-TH-Standard-A | FEMALE |
| Turkish (Turkey) | Standard | tr-TR | tr-TR-Standard-A | FEMALE |
| Turkish (Turkey) | Standard | tr-TR | tr-TR-Standard-B | MALE |
| Turkish (Turkey) | Standard | tr-TR | tr-TR-Standard-C | FEMALE |
| Turkish (Turkey) | Standard | tr-TR | tr-TR-Standard-D | FEMALE |
| Turkish (Turkey) | Standard | tr-TR | tr-TR-Standard-E | MALE |
| Turkish (Turkey) | WaveNet | tr-TR | tr-TR-Wavenet-A | FEMALE |
| Turkish (Turkey) | WaveNet | tr-TR | tr-TR-Wavenet-B | MALE |
| Turkish (Turkey) | WaveNet | tr-TR | tr-TR-Wavenet-C | FEMALE |
| Turkish (Turkey) | WaveNet | tr-TR | tr-TR-Wavenet-D | FEMALE |
| Turkish (Turkey) | WaveNet | tr-TR | tr-TR-Wavenet-E | MALE |
| Ukrainian (Ukraine) | Standard | uk-UA | uk-UA-Standard-A | FEMALE |
| Ukrainian (Ukraine) | WaveNet | uk-UA | uk-UA-Wavenet-A | FEMALE |
| Vietnamese (Vietnam) | Standard | vi-VN | vi-VN-Standard-A | FEMALE |
| Vietnamese (Vietnam) | Standard | vi-VN | vi-VN-Standard-B | MALE |
| Vietnamese (Vietnam) | Standard | vi-VN | vi-VN-Standard-C | FEMALE |
| Vietnamese (Vietnam) | Standard | vi-VN | vi-VN-Standard-D | MALE |
| Vietnamese (Vietnam) | WaveNet | vi-VN | vi-VN-Wavenet-A | FEMALE |
| Vietnamese (Vietnam) | WaveNet | vi-VN | vi-VN-Wavenet-B | MALE |
| Vietnamese (Vietnam) | WaveNet | vi-VN | vi-VN-Wavenet-C | FEMALE |
| Vietnamese (Vietnam) | WaveNet | vi-VN | vi-VN-Wavenet-D | MALE |