speech-to-text
Agent skill frombenchflow-ai/skillsbench
Transcribe video to timestamped text using Whisper tiny model (pre-installed).
How to install speech-to-text
install speech-to-text
# install the skillsbench pack with the skills CLI
npx skills add benchflow-ai/skillsbench# or add only this skill to Claude Code: copy the folder
tasks-extra/video-tutorial-indexer/environment/skills/speech-to-text/
# into
~/.claude/skills/speech-to-text/ (all projects)
.claude/skills/speech-to-text/ (one project)
1# Speech-to-Text23Transcribe video to text with timestamps.45## Usage67```bash8python3 scripts/transcribe.py /root/tutorial_video.mp4 -o transcript.txt --model tiny9```1011This produces output like:12```13[0.0s - 5.2s] Welcome to this tutorial.14[5.2s - 12.8s] Today we're going to learn...15```1617The tiny model is pre-downloaded and takes ~2 minutes for a 23-min video.
Excerpt shown under the repository's Apache-2.0 license.
