Speech to Text — 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 v2 or Whisper V3 Large, with timestamps and speaker labels.

What it does

Transcribes audio through inference.sh with ElevenLabs Scribe v2 (with diarization), Fast Whisper Large V3 or Whisper V3 Large. It handles transcription, translation, timestamps, speaker diarization and audio event tagging for subtitles, meetings, podcasts and voice notes.

Use when

Install

Models it drives: scribe_v2, whisper_large_v3

Example output

https://skills.varg.ai/previews/inference-sh-speech-to-text.mp4 — From ElevenLabs' Scribe launch video (Scribe is one of the skill's STT models, beside Whisper): a voice memo transcribed into notes, then football commentary turned into live Spanish captions ('¡Por la izquierda! ¡Golazo!') (credit: ElevenLabs (Scribe launch video), https://elevenlabs.io/blog/meet-scribe)

More captions & subtitles skills

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.