Fairseq
by Meta AI
Meta's seq-to-seq toolkit — home of wav2vec, HuBERT, XLS-R, MMS.
TL;DR
Meta's seq-to-seq toolkit — home of wav2vec, HuBERT, XLS-R, MMS.
Best for researchers needing the original implementations of wav2vec / HuBERT / MMS. Pricing: free.
Category
Open source
License
—
Stars
—
Last push
—
Pricing
free
Platforms
Linux
What it is
The canonical research codebase for many SOTA speech encoders. MIT.
Best for: Researchers needing the original implementations of wav2vec / HuBERT / MMS.
Watch out for: Maintenance-mode in favor of fairseq2; old PyTorch versions; setup pain.
Watch out for: Maintenance-mode in favor of fairseq2; old PyTorch versions; setup pain.
Install / use
pip install fairseq
Features
| Speaker diarization | No |
| Word-level timestamps | Yes |
| Streaming / real-time | No |
| Languages supported | 100 |
| HIPAA eligible | No |
Fairseq vs Whipscribe
| Feature | Fairseq | Whipscribe |
|---|---|---|
| Category | Open source | Transcription APIs |
| Pricing | free | free beta |
| Speaker diarization | No | Yes |
| Word timestamps | Yes | Yes |
| Streaming | No | No |
| Languages | 100 | 99 |
| Platforms | Linux | Web, API, MCP |
Alternatives to Fairseq
Whipscribe is a managed faster-whisper + whisperX service. If you want transcripts without running infrastructure, paste a URL or drop a file in the form below — you'll have a transcript in seconds.