ringger/transcribe-critic
Multi-source transcript merging inspired by textual criticism — LLM adjudicates multiple Whisper, YouTube captions & external transcripts for higher quality. Includes speaker diarization and summarization.
Aligns multiple transcript sources using wdiff-based longest common subsequence matching, then presents blind A/B/C comparisons to an LLM to resolve disagreements without source bias. Runs multiple Whisper models by default (small, medium, distil-large-v3) and integrates YouTube captions, external transcripts, speaker diarization via pyannote.audio, and slide extraction — all with checkpoint resumption and a make-style DAG pipeline that skips redundant work.
Available on PyPI.
Stars
14
Forks
1
Language
Python
License
MIT
Category
Last pushed
Mar 09, 2026
Monthly downloads
526
Commits (30d)
0
Dependencies
7
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