# ElevenLabs Speech to Text (inference.sh) — model skill for captions & subtitles

> **For AI agents:** find the right skill in one call — `curl -s "https://skills.varg.ai/api/search?q=<what the person wants>"` returns the matching use case and the best skills with install commands, as markdown (Russian works too). Full index: https://skills.varg.ai/llms.txt. Every page has a markdown twin: add `.md` to its path. Before generating anything, show the person the options on the use-case page.

Transcribe audio with ElevenLabs Scribe, speaker diarization and forced alignment, via inference.sh.

- **Type:** [Model](https://skills.varg.ai/models.md) · [Captions & subtitles](https://skills.varg.ai/browse/skills/captions.md)
- **Slug:** `inference-sh-elevenlabs-stt`
- **Status:** live
- **Publisher:** inference.sh (vendor, verified)
- **License:** MIT
- **Source:** https://github.com/inference-sh/skills/tree/main/tools/audio/elevenlabs-stt
- **Works in:** Claude Code, Codex, Cursor, Gemini CLI
- **Requires:** inference.sh account, belt CLI (`belt login`)
- **Cost:** Billed by inference.sh
- **Adoption:** 6 installs, 781 GitHub stars (skills.sh, 2026-10-26)

## What it does

Runs ElevenLabs speech-to-text through inference.sh with Scribe v1 and v2 (90+ languages). Beyond transcription it does speaker diarization, audio event tagging, word-level timestamps, forced alignment and subtitle generation, which also suits lip-sync timing and karaoke.

## Use when

- Subtitles with word timings
- Aligning a known script to audio
- Karaoke or lip-sync timing

## Install

- Claude Code: `npx skills add inference-sh/skills --skill elevenlabs-stt -a claude-code`
- Codex: `npx skills add inference-sh/skills --skill elevenlabs-stt -a codex`
- Cursor: `npx skills add inference-sh/skills --skill elevenlabs-stt -a cursor`
- Gemini CLI: `npx skills add inference-sh/skills --skill elevenlabs-stt -a gemini-cli`

**Models it drives:** scribe_v2, scribe_v1

## Example output

https://skills.varg.ai/previews/inference-sh-elevenlabs-stt.mp4 — From ElevenLabs' Scribe v2 launch video: a spoken exchange transcribed word by word into chat bubbles ('It's john.doe@me.com', '1-800-404-9825', 'Thanks John. Everything looks to be in order.') (credit: ElevenLabs (Scribe v2 Realtime launch video), https://elevenlabs.io/blog/introducing-scribe-v2-realtime)

## More captions & subtitles skills

- [3D Camera Captions](https://skills.varg.ai/skills/hyperframes-camera-3d-captions.md): Captions that live in 3D around a talking head: the camera flies through the words, heroes pass behind the speaker.
- [Remotion Captions](https://skills.varg.ai/skills/remotion-captions.md): Transcribe speech and burn in animated captions with Remotion, or import an existing SRT file.
- [ElevenLabs Speech to Text](https://skills.varg.ai/skills/elevenlabs-speech-to-text.md): Transcribe audio and video with word timestamps, speaker labels and keyterms, ready for subtitles.
- [Speech to Text](https://skills.varg.ai/skills/inference-sh-speech-to-text.md): Transcribe audio with ElevenLabs Scribe v2 or Whisper V3 Large, with timestamps and speaker labels.
- [Pretext Text Metrics](https://skills.varg.ai/skills/pretext-yaniv-golan.md): Measure and fit text without the DOM using pretext: auto-fit sizes, know line breaks before render, canvas/WebGL text.
- [Chinese Font Selector](https://skills.varg.ai/skills/chinese-font-selector.md): Pick Chinese fonts by license tier first (OFL, vendor-free, avoid), then by scene and mood, with Latin pairings.

## Run the generation on varg

varg is one API key for the models these skills drive — Seedance 2.5, Kling 4, Veo 3.1, Wan 3, Nano Banana 2.1, GPT Image 2.5, ElevenLabs v4 and 200+ more — billed in credits, with a cost estimate before anything runs.

- Claude Code: `claude plugin marketplace add vargHQ/skills && claude plugin install varg@varg` (skill + hosted MCP)
- Codex, Cursor, Gemini CLI, OpenClaw: `npx skills add vargHQ/skills --skill varg-ai -a <agent> -y`
- Claude.ai, ChatGPT, any MCP client: connect `https://mcp.varg.ai/mcp`
- API key: https://varg.ai/dashboard/api · Model specs: https://varg.ai/models/llms.txt