AI Powered Text to Speech Converter

Create realistic voices for any text in seconds by using
over +840 realistic voices across +135 languages & dialects.

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Experience AI Voices

Try out live demo without logging in, or login to enjoy all SSML features

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Text to Speech Benefits

Enjoy the full flexibility of the platform with ton of features

Over +840 Voices
Full set of Speech Synthesis Markup Language (SSML) Features
Various Audio Formats
Over +135 Languages & Dialects
Download & Share Results Easily
Standard & Neural Voices

Accurately convert text to speech powered by leading
Cloud AI Technologies

Best text to speech converter offering a wide range of customization options so that you can fine-tune the speech to match your specific needs, with the power of leading Cloud AI technologies such as Amazon AWS, Google Cloud Platform, and Microsoft Azure.

More than +840 voices across
+135 languages and dialects

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

Text to Speech Blogs

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

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Introduction to Escadata Text to Speech Converter | Escadata TTS
October 14, 2022
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Convert Text to Speech Powered by Leading Cloud AI Technologies | Escadata TTS
October 14, 2022
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Standard Voices vs. Neural Voices - Which should I Choose? | Escadata TTS
October 14, 2022
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How to Create Audiobooks Using Text to Speech | Escadata TTS
October 14, 2022
Frequently Asked Questions

Got questions? We have you covered.

Escadata TTS is a text-to-speech application that can be used to convert text to speech. It can be used to create audio files in various formats, such as WAV, MP3, OGG and WEBM. The application can be used to create voice-overs for videos, or to create audio files for use in audio books, podcasts, e-learning applications, etc.
Neural voices are generated by computational models that are trained on data that contains information about the acoustic features of speech. This data is typically collected from recordings of people speaking. The advantage of neural voices is that they can produce more natural-sounding speech than standard voices.

Standard voices are typically based on a concatenative synthesis approach, which uses a database of recorded speech fragments to generate speech. The disadvantage of standard voices is that they can sound robotic and unnatural.

Neural voices have the potential to revolutionize the text-to-speech industry. They can be used to create more lifelike virtual assistants and improve the accessibility of information for people with disabilities.
Yes. You can try our live demo without logging in, or create a login to enjoy all SSML features.
From a technological perspective, offering unlimited synthesize is impossible. Converting text into realistic human-like speech takes a tremendous amount of CPU and GPU power to run AI models and output voices. Therefore, we have a limit on the number of characters we can use per voice and per synthesize.   
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