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gemini-stt

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Transcribe audio files using Google's Gemini API or Vertex AI

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Source SKILL.md: https://github.com/sundial-org/awesome-openclaw-skills/blob/HEAD/skills/gemini-stt/SKILL.md

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Gemini Speech-to-Text Skill

Transcribe audio files using Google's Gemini API or Vertex AI. Default model is gemini-2.0-flash-lite for fastest transcription.

Authentication (choose one)

Option 1: Vertex AI with Application Default Credentials (Recommended)

gcloud auth application-default login
gcloud config set project YOUR_PROJECT_ID

The script will automatically detect and use ADC when available.

Option 2: Direct Gemini API Key

Set GEMINI_API_KEY in environment (e.g., ~/.env or ~/.clawdbot/.env)

Requirements

  • Python 3.10+ (no external dependencies)
  • Either GEMINI_API_KEY or gcloud CLI with ADC configured

Supported Formats

  • .ogg / .opus (Telegram voice messages)
  • .mp3
  • .wav
  • .m4a

Usage

# Auto-detect auth (tries ADC first, then GEMINI_API_KEY)
python ~/.claude/skills/gemini-stt/transcribe.py /path/to/audio.ogg

# Force Vertex AI
python ~/.claude/skills/gemini-stt/transcribe.py /path/to/audio.ogg --vertex

# With a specific model
python ~/.claude/skills/gemini-stt/transcribe.py /path/to/audio.ogg --model gemini-2.5-pro

# Vertex AI with specific project and region
python ~/.claude/skills/gemini-stt/transcribe.py /path/to/audio.ogg --vertex --project my-project --region us-central1

# With Clawdbot media
python ~/.claude/skills/gemini-stt/transcribe.py ~/.clawdbot/media/inbound/voice-message.ogg

Options

OptionDescription
<audio_file>Path to the audio file (required)
--model, -mGemini model to use (default: gemini-2.0-flash-lite)
--vertex, -vForce use of Vertex AI with ADC
--project, -pGCP project ID (for Vertex, defaults to gcloud config)
--region, -rGCP region (for Vertex, default: us-central1)

Supported Models

Any Gemini model that supports audio input can be used. Recommended models:

ModelNotes
gemini-2.0-flash-liteDefault. Fastest transcription speed.
gemini-2.0-flashFast and cost-effective.
gemini-2.5-flash-liteLightweight 2.5 model.
gemini-2.5-flashBalanced speed and quality.
gemini-2.5-proHigher quality, slower.
gemini-3-flash-previewLatest flash model.
gemini-3-pro-previewLatest pro model, best quality.

See Gemini API Models for the latest list.

How It Works

  1. Reads the audio file and base64 encodes it
  2. Auto-detects authentication:
    • If ADC is available (gcloud), uses Vertex AI endpoint
    • Otherwise, uses GEMINI_API_KEY with direct Gemini API
  3. Sends to the selected Gemini model with transcription prompt
  4. Returns the transcribed text

Example Integration

For Clawdbot voice message handling:

# Transcribe incoming voice message
TRANSCRIPT=$(python ~/.claude/skills/gemini-stt/transcribe.py "$AUDIO_PATH")
echo "User said: $TRANSCRIPT"

Error Handling

The script exits with code 1 and prints to stderr on:

  • No authentication available (neither ADC nor GEMINI_API_KEY)
  • File not found
  • API errors
  • Missing GCP project (when using Vertex)

Notes

  • Uses Gemini 2.0 Flash Lite by default for fastest transcription
  • No external Python dependencies (uses stdlib only)
  • Automatically detects MIME type from file extension
  • Prefers Vertex AI with ADC when available (no API key management needed)