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  1. Home
  2. AI Models
  3. Speech & Audio
  4. SeamlessM4T v2
freespeech

SeamlessM4T v2

Free universal translator — speech & text in 100+ languages, one model

Developed by Meta AI

Try Model
2.3B (Large) / 1.2B (Medium)Params
YesAPI
stableStability
SeamlessM4T v2 LargeVersion
CC-BY-NC 4.0License
PyTorch / Fairseq2Framework
YesRuns Local

Playground

Implementation Example

Example Prompt

user input
Audio: 10-second clip of someone saying in English: 'Where is the nearest train station?' Target language: Japanese. Task: speech-to-speech.

Model Output

model response
Returns a Japanese audio clip saying '一番近い駅はどこですか?' (Ichiban chikai eki wa doko desu ka?) — preserving the speaker's tone and timing in the original voice when using SeamlessExpressive.

Examples

Real-World Applications

  • Real-time interpretation
  • video dubbing
  • podcast translation
  • video conference translation
  • language learning
  • accessibility
  • global content localization.

Docs

Model Intelligence & Architecture

What is SeamlessM4T v2?

SeamlessM4T v2 is the second-generation universal translation AI from Meta AI Research, released in November 2023. It's the first model to handle all four translation directions in one unified model: speech-to-speech (S2ST), speech-to-text (S2TT), text-to-speech (T2ST), and text-to-text (T2TT).

It supports up to 101 input languages and 96 output languages, all with state-of-the-art quality. The model is released for non-commercial use under CC-BY-NC 4.0, with the SeamlessExpressive variant preserving voice style and emotion across languages.

Why SeamlessM4T Is Trending in 2026

As global communication and multilingual content explode, SeamlessM4T v2 has become the go-to open universal translator. The newer SeamlessStreaming variant enables real-time interpretation with under 2 seconds of latency — closing the gap with human interpreters.

Key Features and Capabilities

SeamlessM4T v2 handles speech-to-speech translation, speech-to-text translation, text-to-speech translation, text-to-text translation, and automatic speech recognition — all in a single unified architecture.

The Expressive variant preserves voice tone, prosody, and emotion across languages — so a happy English sentence sounds happy in French, Mandarin, or Hindi.

Who Should Use SeamlessM4T?

SeamlessM4T is built for multilingual app developers, accessibility tool makers, video dubbing platforms, language learning startups, and global customer support tools.

Top Use Cases

Real-world applications include real-time interpretation apps, multilingual video dubbing, podcast translation, video conferencing translation, language learning tools, accessibility for non-native speakers, and global content localization.

Where Can You Run It?

SeamlessM4T v2 is available on Hugging Face, Meta's official GitHub, Replicate, and Hugging Face Spaces. The Large variant needs ~12 GB VRAM; smaller v2-medium runs on 6 GB.

How to Use SeamlessM4T (Quick Start)

Install: pip install transformers sentencepiece. Load: from transformers import SeamlessM4Tv2Model, AutoProcessor. Pass audio or text input with source and target language codes — the model handles the rest.

When Should You Choose SeamlessM4T?

Choose SeamlessM4T when you need unified multi-task multilingual translation with voice preservation. For commercial deployment, contact Meta or use Whisper + a separate TTS pipeline.

Pricing

Free for non-commercial use under CC-BY-NC 4.0. Commercial use requires a separate Meta agreement.

Pros and Cons

Pros: ✔ 101 input + 96 output languages ✔ Four tasks in one model ✔ Voice preservation in Expressive variant ✔ Real-time streaming variant ✔ Unified architecture ✔ Backed by Meta research

Cons: ✘ CC-BY-NC license blocks direct commercial use ✘ Heavy model for some hardware ✘ Quality varies by language pair ✘ Voice cloning not as flexible as OpenVoice

Final Verdict

SeamlessM4T v2 is the most ambitious open universal translator ever released — perfect for multilingual research and non-commercial apps. Find more language AI at FreeAPIHub.com.

Evaluation

Advantages & Limitations

Advantages
  • ✓ 101 input / 96 output languages
  • ✓ Four tasks in one unified model
  • ✓ Voice preservation (Expressive)
  • ✓ Real-time streaming variant
  • ✓ Backed by Meta research
  • ✓ State-of-the-art quality
Limitations
  • ✗ CC-BY-NC blocks direct commercial use
  • ✗ Heavy model size
  • ✗ Quality varies by language pair
  • ✗ Less flexible voice cloning than OpenVoice

Important Notice

Verify Before You Decide

Last verified · Apr 29, 2026

The details on this page — including pricing, features, and availability — are based on our last review and may not reflect the provider's current offering. Providers update their products frequently, sometimes without prior notice.

What may have changed

Pricing Plans
Features & Limits
Availability
Terms & Policies

Always visit the official provider website to confirm the latest pricing, terms, and feature availability before subscribing or integrating.

Check official site

External Resources

Try the Model Official Website Source Code

Technical Details

Architecture
Multi-task encoder-decoder with shared text/speech tokens
Stability
stable
Framework
PyTorch / Fairseq2
License
CC-BY-NC 4.0
Release Date
2023-11-30
Signup Required
No
API Available
Yes
Runs Locally
Yes

Rate Limits

No limits self-hosted; non-commercial use only

Pricing

Free for non-commercial use under CC-BY-NC 4.0

Best For

Researchers and non-commercial multilingual translation apps

Alternative To

Google Translate, DeepL, Whisper + TTS pipeline

Compare With

seamlessm4t vs whisperseamlessm4t vs google translateseamless vs nllbfree universal translatoropen source speech translation

Tags

#Universal Translator#Seamlessm4t#Speech Translation#Multilingual AI#Meta AI#Open Source AI

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