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name: audio-transcription-cleanup description: Transform messy voice transcription text into well-formatted, human-readable documents while preserving original meaning

Audio Transcription Cleanup

Clean up raw audio transcriptions by removing filler words, fixing errors, and adding proper structure.

Usage

Use the audio_transcript_cleanup.py script to process transcript files:

Copy# Use default output location (~/tmp/cleaned_transcript.md - allows overwrite)
python scripts/audio_transcript_cleanup.py --transcript-file /path/to/transcript.txt

# Specify custom output location (cannot overwrite existing files)
python scripts/audio_transcript_cleanup.py --transcript-file /path/to/transcript.txt --output /path/to/output.md

What It Does

The script automatically:

• Removes verbal artifacts (um, uh, like, you know, 呃, 啊, 那个, etc.)
• Fixes spelling and grammar errors
• Adds semantic paragraph breaks and section headings
• Converts spoken fragments into complete sentences
• Preserves all original information (no summarization)
• Auto-detects language and maintains natural expression

Options

• --transcript-file (required) - Path to the transcript file to clean up
• --output (optional) - Custom output path (default: ~/tmp/cleaned_transcript.md)

Output Behavior

• Default location: ~/tmp/cleaned_transcript.md - Allows overwrite
• Custom location: Cannot overwrite existing files (raises error if file exists)

Language Support

Auto-detects and works with:

• English
• Chinese (Mandarin, Cantonese)
• Mixed language content
• Multi-speaker transcriptions

Requirements

• Python 3.11+
• Claude CLI must be installed and accessible
• Transcript file must exist at specified path