gemini-stt
Transcribe audio files using Google's Gemini API or Vertex AI
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install openclaw-skills-gemini-stt
Repository
Skill path: skills/araa47/gemini-stt
Transcribe audio files using Google's Gemini API or Vertex AI
Open repositoryBest for
Primary workflow: Analyze Data & AI.
Technical facets: Full Stack, Backend, Data / AI.
Target audience: everyone.
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: openclaw.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install gemini-stt into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/openclaw/skills before adding gemini-stt to shared team environments
- Use gemini-stt for development workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.
Original source / Raw SKILL.md
---
name: gemini-stt
description: Transcribe audio files using Google's Gemini API or Vertex AI
metadata: {"clawdbot":{"emoji":"🎤","os":["linux","darwin"]}}
---
# 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)
```bash
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
```bash
# 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
| Option | Description |
|--------|-------------|
| `<audio_file>` | Path to the audio file (required) |
| `--model`, `-m` | Gemini model to use (default: `gemini-2.0-flash-lite`) |
| `--vertex`, `-v` | Force use of Vertex AI with ADC |
| `--project`, `-p` | GCP project ID (for Vertex, defaults to gcloud config) |
| `--region`, `-r` | GCP region (for Vertex, default: `us-central1`) |
## Supported Models
Any Gemini model that supports audio input can be used. Recommended models:
| Model | Notes |
|-------|-------|
| `gemini-2.0-flash-lite` | **Default.** Fastest transcription speed. |
| `gemini-2.0-flash` | Fast and cost-effective. |
| `gemini-2.5-flash-lite` | Lightweight 2.5 model. |
| `gemini-2.5-flash` | Balanced speed and quality. |
| `gemini-2.5-pro` | Higher quality, slower. |
| `gemini-3-flash-preview` | Latest flash model. |
| `gemini-3-pro-preview` | Latest pro model, best quality. |
See [Gemini API Models](https://ai.google.dev/gemini-api/docs/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:
```bash
# 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)
---
## Skill Companion Files
> Additional files collected from the skill directory layout.
### _meta.json
```json
{
"owner": "araa47",
"slug": "gemini-stt",
"displayName": "Gemini STT",
"latest": {
"version": "1.1.0",
"publishedAt": 1768651581889,
"commit": "https://github.com/clawdbot/skills/commit/5e2701cd3539395d6e2290dfeabc223874b370ee"
},
"history": [
{
"version": "1.0.0",
"publishedAt": 1768328310222,
"commit": "https://github.com/clawdbot/skills/commit/56d5208ab9409d70af54df41788791ca957e9a3a"
}
]
}
```