SeamlessM4T
AI translation model for nearly 100 input languages and 35 output languages, including speech and text
| What is it | AI translation model for nearly 100 input languages and 35 output languages, including speech and text |
|---|---|
| Pricing | Paid |
| Platform | Web Application |
| Best for | translating spoken conversations across languages while preserving tone, converting speech from one language into text in another language |
| Domain registered | 2021 |
Data updated Aug. 1, 2026
What does SeamlessM4T do?
SeamlessM4T is a foundational AI model from Meta FAIR that handles translation across nearly 100 input languages and 35 output languages. You can give it speech or text in one language and get back speech or text in another — it does speech-to-speech, speech-to-text, text-to-speech, and text-to-text translation all in one model. The tool also comes in a variant called SeamlessExpressive, which works to preserve the emotional tone, pauses, and speaking style of the original speaker when translating speech.
The model works by processing audio and text through a unified system, meaning you don’t need separate models for each direction. The page offers two live demos: one for the standard SeamlessM4T and one for SeamlessExpressive. You can test translations directly in your browser. The underlying code is open source on GitHub, and the project page links to research papers and a blog post explaining the architecture.
This tool is most useful for researchers and developers building multilingual communication apps, or anyone who needs to translate spoken language while keeping the speaker’s tone intact. It’s also a solid starting point for experimenting with state-of-the-art translation without having to train your own model. If you’re working on cross-language voice assistants, real-time interpretation, or dubbing that preserves delivery style, SeamlessM4T is worth a look.
Key features
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Who benefits most from this toolTrust & presence
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