Loom Video To Written Tutorial — Free, On Your Own Machine, Nothing Uploaded (2026)

Extract & Transcribe Locally

Download your Loom video via the desktop app (File → Export) or browser DevTools Network tab (filter "media", right-click → "Open in new tab" → save). Use yt-dlp with cookies for authenticated downloads: yt-dlp --cookies-from-browser chrome -f "bv+ba/b" "https://www.loom.com/share/VIDEO_ID".

Transcribe with whisper.cpp (CPU) or faster-whisper (GPU). Install: pip install faster-whisper. Run: python -m faster_whisper video.mp4 --model large-v3 --language en --output_format txt --output_dir ./transcript. For Apple Silicon, use whisper.cpp with Metal: ./main -m models/ggml-large-v3.bin -f video.mp4 -otxt -l en. Expect 95%+ accuracy on clear speech. Clean output with sed -i 's/\[.*\]//g' transcript.txt to remove timestamps.

Segment by topic using ollama run llama3.1:8b "Split this transcript into logical sections with headers: $(cat transcript.txt)". Save each section as section_N.md.

Generate Tutorial Structure & Assets

For each section, prompt: ollama run llama3.1:8b "Convert this transcript section into a step-by-step tutorial with: 1) Prerequisites, 2) Numbered commands with explanations, 3) Expected output, 4) Common errors & fixes, 5) Verification steps. Transcript: $(cat section_1.md)" > tutorial_1.md.

Extract screenshots automatically: ffmpeg -i video.mp4 -vf "select=not(mod(n\,300)),scale=1280:-1" -vsync vfr frame_%04d.png (one frame every 10s at 30fps). Use ImageMagick to crop UI regions: mogrify -crop 1200x800+40+100 frame_*.png. Rename descriptively: exiftool '-FileNameSkip the DIY. VaultPDF's Binder does this on your own machine, often faster than the video's own runtime — drop a file, get a typeset manual with real screenshots back.
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