AI Powered Text to Speech Converter

Create realistic voices for any text in seconds by using
over +409 realistic voices across +129 languages & dialects.

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Text to Speech Benefits

Enjoy the full flexibility of the platform with ton of features

Over +409 Voices

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Full set of SSML Features

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Various Audio Formats

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Over +129 Languages & Dialects

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Download & Share Results Easily

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Standard & Neural Voices

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Accurately convert text to speech powered by
Azure’s AI Technology

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Unlimited Use Cases

Create any type of audio content as you prefer

Tutorial Content
Create a professional learning content instantly in any preferred language using Azure's Text to Speech feature with various SSML voice effects.
Audiobooks
Create a professional learning content instantly in any preferred language using Azure's Text to Speech feature with various SSML voice effects.
News Narration
Create a professional news narration instantly in any preferred language using Azure's Text to Speech feature with various SSML voice effects.

More than +409 voices across
+129 languages and dialects

The list of languages is constantly updated. In addition,
the synthesis of existing languages is constantly being
updated and improved.

Customer Reviews

We guarantee that you will be one of our happy customers as well

Text to Speech Blogs

Read our unique blog articles about various text to speech use cases and secrets

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Amazon Web Services
April 23, 2022
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Microsoft Azure
April 23, 2022
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Google Cloud Platfomr
April 23, 2022
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Text to Speech
April 23, 2022
Frequently Asked Questions

Got questions? We have you covered.

Text-to-speech enables your applications, tools, or devices to convert text into humanlike synthesized speech. The text-to-speech capability is also known as speech synthesis. Use humanlike prebuilt neural voices out of the box, or create a custom neural voice that's unique to your product or brand. For a full list of supported voices, languages, and locales, see Language and voice support for the Speech service.
When you use the text-to-speech feature, you're billed for each character that's converted to speech, including punctuation. Although the SSML document itself is not billable, optional elements that are used to adjust how the text is converted to speech, like phonemes and pitch, are counted as billable characters. Here's a list of what's billable:
  • Text passed to the text-to-speech feature in the SSML body of the request
  • All markup within the text field of the request body in the SSML format, except for <speak> and <voice> tags
  • Letters, punctuation, spaces, tabs, markup, and all white-space characters
  • Every code point defined in Unicode
For detailed information, see Speech service pricing.
 Important
Each Chinese character is counted as two characters for billing, including kanji used in Japanese, hanja used in Korean, or hanzi used in other languages.
The text-to-speech feature of the Speech service on Azure has been fully upgraded to the neural text-to-speech engine. This engine uses deep neural networks to make the voices of computers nearly indistinguishable from the recordings of people. With the clear articulation of words, neural text-to-speech significantly reduces listening fatigue when users interact with AI systems.
The patterns of stress and intonation in spoken language are called prosody. Traditional text-to-speech systems break down prosody into separate linguistic analysis and acoustic prediction steps that are governed by independent models. That can result in muffled, buzzy voice synthesis.
Here's more information about neural text-to-speech features in the Speech service, and how they overcome the limits of traditional text-to-speech systems:

  • Prebuilt neural voices: Microsoft neural text-to-speech capability uses deep neural networks to overcome the limits of traditional speech synthesis with regard to stress and intonation in spoken language. Prosody prediction and voice synthesis happen simultaneously, which results in more fluid and natural-sounding outputs. You can use neural voices to:
    • Make interactions with chatbots and voice assistants more natural and engaging.
    • Convert digital texts such as e-books into audiobooks.
    • Enhance in-car navigation systems.
    For a full list of platform neural voices, see Language and voice support for the Speech service.
  • Fine-tuning text-to-speech output with SSML: Speech Synthesis Markup Language (SSML) is an XML-based markup language that's used to customize text-to-speech outputs. With SSML, you can adjust pitch, add pauses, improve pronunciation, change speaking rate, adjust volume, and attribute multiple voices to a single document.
    You can use SSML to define your own lexicons or switch to different speaking styles. With the multilingual voices, you can also adjust the speaking languages via SSML. To fine-tune the voice output for your scenario, see Improve synthesis with Speech Synthesis Markup Language.
  • Azure subscription - Create one for free
  • Create a Speech resource in the Azure portal to get your key and endpoint. You can use the free pricing tier (F0) to try the service, and upgrade later to a paid tier for production.
  • Get the subscription key and regional endpoint. After your Speech resource is deployed, select Go to resource to view and manage keys. For more information about subscription keys and other Cognitive Services resources, see Get the keys for your resource.