| name | transcript-fixer |
| description | Corrects speech-to-text transcription errors in meeting notes, lectures, and interviews using dictionary rules and AI. Learns patterns to build personalized correction databases. Use when working with transcripts containing ASR/STT errors, homophones, or Chinese/English mixed content requiring cleanup. |
| zh_description | 用于转录稿、fixer，支持文档、表格、演示和资料整理。 |
| version | 1.0.0 |
| author | seaworld008 |
| source | in-house |
| source_url | |
| tags | ["fixer", "transcript"] |
| created_at | 2026-03-04 |
| updated_at | 2026-03-20 |
| quality | 4 |
| complexity | intermediate |
Transcript Fixer
Correct speech-to-text transcription errors through dictionary-based rules, AI-powered corrections, and automatic pattern detection. Build a personalized knowledge base that learns from each correction.
When to Use This Skill
- Correcting ASR/STT errors in meeting notes, lectures, or interviews
- Building domain-specific correction dictionaries
- Fixing Chinese/English homophone errors or technical terminology
- Collaborating on shared correction knowledge bases
Prerequisites
Python execution must use uv - never use system Python directly.
If uv is not installed:
curl -LsSf https://astral.sh/uv/install.sh | sh
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
Quick Start
Recommended: Use Enhanced Wrapper (auto-detects API key, opens HTML diff):
uv run scripts/fix_transcription.py --init
uv run scripts/fix_transcript_enhanced.py input.md --output ./corrected
The enhanced wrapper automatically:
- Detects GLM API key from shell configs (checks lines near
ANTHROPIC_BASE_URL)
- Moves output files to specified directory
- Opens HTML visual diff in browser for immediate feedback
Alternative: Use Core Script Directly:
export GLM_API_KEY="<api-key>"
uv run scripts/fix_transcription.py --add "错误词" "正确词" --domain general
uv run scripts/fix_transcription.py --input meeting.md --stage 3
uv run scripts/fix_transcription.py --review-learned
Output files:
