# Speech To Text

Transcribe audio to text using ElevenLabs Scribe v2.

- Repository: https://github.com/elevenlabs/skills (528 stars)
- Category: Media
- License: MIT
- Last updated: 2026-10-28
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add elevenlabs/skills --skill speech-to-text -g -a claude-code -y`
Codex: `npx skills add elevenlabs/skills --skill speech-to-text -g -a codex -y`
Cursor: `npx skills add elevenlabs/skills --skill speech-to-text -g -a cursor -y`
Gemini CLI: `npx skills add elevenlabs/skills --skill speech-to-text -g -a gemini-cli -y`

## Description

Transcribe audio to text using ElevenLabs Scribe v2. Use when converting audio/video to text, generating subtitles, transcribing meetings, or processing spoken content.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# ElevenLabs Speech-to-Text

Transcribe audio to text with Scribe v2 - supports 90+ languages, speaker diarization, and word-level timestamps.

> **Setup, before writing any code:** if `ELEVENLABS_API_KEY` isn't set for this project, run `npx -y @elevenlabs/cli@latest onboard init` from the app's folder first and follow what it prints: it signs the user in and stores a key for the project, so nobody copies one by hand. Otherwise see the [Installation Guide](references/installation.md). For JavaScript, use `@elevenlabs/*` packages only.

## Quick Start

### Python

```python
from elevenlabs import ElevenLabs

client = ElevenLabs()

with open("audio.mp3", "rb") as audio_file:
    result = client.speech_to_text.convert(file=audio_file, model_id="scribe_v2")

print(result.text)
```

### JavaScript

```javascript
import { ElevenLabsClient } from "@elevenlabs/elevenlabs-js";
import { createReadStream } from "fs";

const client = new ElevenLabsClient();
const result = await client.speechToText.convert({
  file: createReadStream("audio.mp3"),
  modelId: "scribe_v2",
});
console.log(result.text);
```

### CLI

```bash
elevenlabs speech-to-text convert --file audio.mp3 --model-id scribe_v2
```

## Models

| Model ID | Description | Best For |
|----------|-------------|----------|
| `scribe_v2` | State-of-the-art accuracy, 90+ languages | Batch transcription, subtitles, long-form audio |
| `scribe_v2_medical` | Specialized recognition for medical and clinical audio, 90+ languages | Clinical documentation, medical dictation, patient calls |
| `scribe_v2_realtime` | Low latency (~150ms) | Live transcription, voice agents |
| `scribe_v2_realtime_turbo` | Realtime transcription variant | Live transcription |
| `scribe_v2_realtime_lite` | Realtime transcription variant | Live transcription |

## Transcription with Timestamps

Word-level timestamps include type classification and speaker identification:

The rest: https://github.com/elevenlabs/skills/blob/HEAD/speech-to-text/SKILL.md