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Corrects speech-to-text transcription errors using dictionary rules and AI-powered analysis. Builds personalized correction databases that learn from each fix.…
Transcript Fixer Two-phase correction pipeline: deterministic dictionary rules (instant, free) followed by AI-powered error detection. Corrections accumulate in ~/.transcript-fixer/corrections.db, improving accuracy over time. Prerequisites All scripts use PEP 723 inline metadata — uv run auto-installs dependencies. Requires uv (install guide). Quick Start # First time: Initialize database uv run scripts/fix_transcription.py --init # Single file uv run scripts/fix_transcription.py --input meeting.md --stage 1
don't have the plugin yet? install it then click "run inline in claude" again.