smithery.ai

audio-transcription-cleanup

Transform messy voice transcription text into well-formatted, human-readable documents while preserving original meaning

First seen Apr 9, 2026

Installation

$ npx skills add https://smithery.ai

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Declared
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Skill metadata

Parsed from SKILL.md frontmatter.

Declared agents claude-code

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 1,758 B
  • docs SUMMARY.md 155 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 1 installs

SKILL.md

Audio Transcription Cleanup

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

Usage

Use the audiotranscriptcleanup.py script to process transcript files:

# 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