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 →

See how it works
30×smaller — a 26.6 KB sample PDF becomes 0.9 KB of the same text
64Ktokens — a 3.5 MB, 100-cell notebook made paste-able, cell addresses intact
15formats in, one shared structure, five output presets
0uploads — conversion runs in this tab and works offline
media slot · hero demo

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.

media slot · fidelity tour

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

What’s really inside your files

One guide per format — the file’s anatomy, what breaks when a model reads it raw, and the exact element mapping applied.

.ipynb .docx .pptx .xlsx .csv .pdf .html .json .eml .srt .md