Audio Transcription Automation
Automate audio/video transcription, meeting notes, subtitle generation, and content processing
You have hours of meeting recordings, podcast episodes, and video content that need transcripts, but manual transcription costs $1-2 per minute. This playbook automates audio and video transcription with speaker diarization, meeting note generation, subtitle creation, and content processing.
Who it's for: podcasters transcribing episodes for show notes and blog repurposing, meeting facilitators generating searchable transcripts from recorded team meetings, video producers creating accurate subtitles and closed captions for accessibility, content teams converting webinar recordings into written articles, legal and medical professionals transcribing recorded sessions for documentation
Example
"Transcribe our weekly team meetings and generate action item summaries" → Transcription pipeline: audio extraction from video recordings, speech-to-text transcription with speaker identification, automated meeting notes with key discussion points, action item extraction with assigned owners, and subtitle file generation in SRT format for video publishing
CLAUDE.md Template
New here? 3-minute setup guide → | Already set up? Copy the template below.
npx ccplaybooks add transcription-automation# Transcription Automation
Comprehensive workflow for automating audio/video transcription and content processing.
## Core Workflows
### 1. Transcription Pipeline
```
TRANSCRIPTION FLOW:
┌─────────────────┐
│ Audio/Video │Get new playbooks like this one
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What This Does
Comprehensive workflow for automating audio/video transcription and content processing.
Quick Start
Step 1: Create a Project Folder
mkdir -p ~/Documents/TranscriptionAutomation
Step 2: Download the Template
Click Download above, then:
mv ~/Downloads/CLAUDE.md ~/Documents/TranscriptionAutomation/
Step 3: Start Working
cd ~/Documents/TranscriptionAutomation
claude
Best Practices
- Quality Audio: Clean input = better output
- Choose Right Model: Balance speed vs accuracy
- Use Diarization: Identify speakers clearly
- Post-Process: Clean up automated output
- Verify Critical Content: Human review important
- Consider Privacy: Handle sensitive content
- Store Efficiently: Compress and index
- Provide Context: Vocabulary hints help