Feed your LLM better.
Turn technical documents into LLM-ready Markdown — and see exactly what was detected, and what was lost.
Your files never leave your browser. Verify it →
Recent this browser only
30-second silent screen recording, looped: drop a sample file → the three-panel result appears → open the QC breakdown → Copy. Poster frame: the result view.
/assets/media/home/hero-demo.mp4
Drop. Inspect. Export.
1 · Drop anything
Notebooks, Word, slides, spreadsheets, PDFs, emails — several at once. Parsing happens in your browser; your files never leave it.
2 · Inspect the fidelity report
Original, Markdown, and a report of what was detected — counts, warnings, a weighted eight-check QC score. Silent loss becomes visible loss.
3 · Export for the destination
Token-lean chat paste, RAG chunks with stable anchors, Obsidian callouts, or a faithful archive — with exact token counts on demand.
15-second clip: the fidelity panel up close — counts count up, the QC breakdown expands, one warning is read.
/assets/media/home/fidelity-tour.mp4
From the Context Lab
Field notes on feeding documents to LLMs — measured, honest, reproducible.