QuentinFuxa/WhisperLiveKit
Real-time, local speech-to-text with streaming ASR, speaker diarization, translation, and OpenAI/Deepgram-compatible APIs.
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
1 release in the last 90 days, the latest 67 days ago, with 47 contributors on GitHub.
Peaked at #5 in the weekly ranking the week of Aug 31, its best in the past year.
Use Cases & Benefits
- Provides real-time, fully local speech-to-text transcription with streaming ASR, speaker diarization, and translation via OpenAI/Deepgram-compatible APIs.
- Delivers ultra-low latency and accurate incremental transcription using state-of-the-art simultaneous speech research and advanced speaker diarization models.
- Use for building live transcription services that require low-latency, multi-speaker identification in meetings or conferences.
- Use for integrating real-time speech recognition and translation into accessibility tools for hearing-impaired users.
- Use for automatic transcription and speaker-labeled indexing of podcasts, videos, or customer support calls to enhance content creation and analysis.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
Apache 2.0
Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.
Community files
- README: present
- Contributing guide: present
- Code of conduct: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
Real-time, Fully Local Speech-to-Text with Speaker Identification
Real-time speech transcription directly to your browser, with a ready-to-use backend+server and a simple frontend. ✨
Why not just run a simple Whisper model on every audio batch? Whisper is designed for complete utterances, not real-time chunks. Processing small segments loses context, cuts off words mid-syllable, and produces poor transcription. WhisperLiveKit uses state-of-the-art simultaneous speech research for intelligent buffering and incremental processing.
The backend supports multiple concurrent users. Voice Activity Detection reduces overhead when no voice is detected.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
1.2K+59
Open issues
8+0
Compared with peers in Backend
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 8, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| anthropics/skills | 192.3K | +5.2K | 75 | — |
| zed-industries/zed | 94.7K | +2.3K | 75 | 6 days ago |
| google/skills | 23.8K | +2.0K | 75 | — |
| NationalSecurityAgency/ghidra | 99.4K | +1.8K | 75 | 19 days ago |
| DuarteSantos8/openGym | 20.8K | +1.7K | 75 | 7 days ago |
| QuentinFuxa/WhisperLiveKit | 11.2K | — | 61 | 67 days ago |
| Category median | 94.7K | +2.0K | 75 | — |
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