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Media ProductionIntermediate

ASR Transcribe to Text

Transcribe audio and video to text with Qwen3-ASR — local MLX inference on Apple Silicon (no API key, 15–27x realtime) or a remote API endpoint, auto-detecting the best path.

10 minutes
By daymadeSource
#asr#transcription#audio#qwen#speech-to-text

Recordings, lectures, and meetings pile up untranscribed because cloud ASR is costly or private. This playbook transcribes locally on Apple Silicon — fast, free, and offline.

Who it's for: podcasters, researchers, students, journalists, note-takers

Example

"Transcribe this 1-hour interview recording" → A full text transcript produced locally at 15–27x realtime, no API key needed

CLAUDE.md Template

New here? 3-minute setup guide → | Already set up? Copy the template below.

Or install from your terminal:
npx ccplaybooks add asr-transcribe-to-text
# ASR Transcribe to Text

Transcribe audio/video files to text using Qwen3-ASR. Two inference paths:

| Mode | When | Speed | Cost |
|------|------|-------|------|
| **Local MLX** | macOS Apple Silicon | 15-27x realtime | Free |
| **Remote API** | Any platform, or when local unavailable | Depends on GPU | API/self-hosted |

Configuration persists in `${CLAUDE_PLUGIN_DATA}/config.json`.

## Step 0: Detect Platform and Load Config

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README.md

What This Does

Transcribe audio and video to text with Qwen3-ASR — local MLX inference on Apple Silicon (no API key, 15–27x realtime) or a remote API endpoint, auto-detecting the best path.

What's Inside

The template covers:

  • Step 0: Detect Platform and Load Config
  • Step 1: Extract Audio (if input is video)
  • Step 2: Transcribe
  • Step 3: Verify Output
  • Step 4: Fallback — Overlap-Merge (Remote API Only)
  • Step 5: Recommend Transcript Correction

Quick Start

Step 1: Create a Project Folder

Make a dedicated folder for this workflow and open it in Claude Code.

Step 2: Download the Template

Click Download above to save the template, then drop it into your project as CLAUDE.md (or paste it into your existing one).

Step 3: Start Working

Tell Claude what you need in plain language — it will follow the template's workflow automatically. For example:

Transcribe this 1-hour interview recording

Claude reads the template and runs the steps for you.

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