# Speech To Text > Transcribe video to timestamped text using Whisper tiny model (pre-installed). Use when this capability is needed. - Skill: `tomevault-io/speech-to-text-3` (Agent Skill, multi-file: 2 files) - Install (CLI): `npx skillmds@latest add tomevault-io/speech-to-text-3` - Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/speech-to-text-3/raw - Safety review: pending (external: skill-scanner PASS, skillspector PASS) - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: AI & ML - Author: tomevault-io (https://skillmd.com/u/tomevault-io) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/tomevault-io/speech-to-text-3 --- # Speech-to-Text Transcribe video to text with timestamps. ## Usage ```bash python3 scripts/transcribe.py /root/tutorial_video.mp4 -o transcript.txt --model tiny ``` This produces output like: ``` [0.0s - 5.2s] Welcome to this tutorial. [5.2s - 12.8s] Today we're going to learn... ``` The tiny model is pre-downloaded and takes ~2 minutes for a 23-min video. --- > Converted and distributed by [TomeVault](https://tomevault.io/claim/benchflow-ai) — claim your Tome and manage your conversions.