Transcribe an audio file via Azure AI Speech using Microsoft's MAI-Transcribe-1 model.

Quick start

node {baseDir}/scripts/transcribe.js /path/to/audio.m4a

Defaults:

• Model: mai-transcribe-1
• Output: .txt
• API version: 2025-10-15

Useful flags

node {baseDir}/scripts/transcribe.js /path/to/audio.ogg --out /tmp/transcript.txt
node {baseDir}/scripts/transcribe.js /path/to/audio.m4a --language en-GB
node {baseDir}/scripts/transcribe.js /path/to/audio.m4a --json --out /tmp/transcript.json
node {baseDir}/scripts/transcribe.js /path/to/audio.wav --model mai-transcribe-1
node {baseDir}/scripts/transcribe.js --help

Required env vars

export AZURE_SPEECH_ENDPOINT="https://YOUR-RESOURCE.cognitiveservices.azure.com"
export AZURE_SPEECH_KEY="YOUR_SPEECH_RESOURCE_KEY"

How to get the API key

• Go to the Azure portal and open your Speech or Foundry Speech resource.
• Open Keys and Endpoint.
• Copy:

• Export them:

export AZURE_SPEECH_ENDPOINT="https://YOUR-RESOURCE.cognitiveservices.azure.com"
export AZURE_SPEECH_KEY="YOUR_SPEECH_RESOURCE_KEY"

If gh-style copy-paste chaos is happening, the most important bit is that this skill expects the Speech resource endpoint, not a generic Foundry project URL.

Optional:

export AZURE_SPEECH_API_VERSION="2025-10-15"

API shape

The script calls:

POST {AZURE_SPEECH_ENDPOINT}/speechtotext/transcriptions:transcribe?api-version=2025-10-15

Headers:

• Ocp-Apim-Subscription-Key: {AZURE_SPEECH_KEY}

Multipart form fields:

• audio
• definition

Example definition payload:

{
  "enhancedMode": {
    "enabled": true,
    "model": "mai-transcribe-1"
  }
}

Notes

• This is the same style of skill as the Whisper one: a small documented script wrapper, not a built-in OpenClaw media pipeline.
• Tested successfully against a live Azure Speech resource.
• --json writes the raw Azure response for debugging or downstream processing.
• Audio is uploaded to Microsoft for processing.