Document Intelligence, Grounded

Ask your documents anything. Get an answer you can actually check.

DocuMind parses PDFs, Word docs, spreadsheets, CSVs, and images the way a careful analyst would, then answers questions with the exact page and source behind every claim, not a confident guess.

Try it here → Book a demo

file formats parsed structurally, not dumped as text

page-level citation on every factual claim

100%

of answers scored for faithfulness before they're shown

silent hallucinations — low-confidence answers get corrected or refused

Parsing

Your documents aren't flat text. Neither is our parser.

Most document AI tools flatten a PDF into a stream of text and lose the structure that actually carries meaning — which row belongs to which table, which figure a paragraph is describing, what order a multi-column page is meant to be read in. DocuMind builds a structured model of the document first, and only chunks it after.

Diagram showing PDF, DOCX, spreadsheet, CSV, and image files parsed into a structured document tree of sections, tables, figures, and paragraphs, then embedded into a searchable index

✓Reading order is preserved, even across multi-column layouts and pages where figures interrupt the text flow.
✓Tables stay tables. Rows and columns are kept structurally intact, not flattened into a wall of numbers with no relationship between them.
✓Figures and charts are extracted as their own objects, tagged to their section and page, so they can be cited and shown, not just described in passing.
✓Long tables split without breaking a row in half — chunking respects the structure it was given instead of cutting on a fixed character count.

PDF DOCX XLSX CSV TXT / MD Images

Citation & Verification

Every answer has to earn its citation.

Generation is the easy part — any model can write a confident-sounding paragraph. The part that matters is whether that paragraph is actually backed by the source it claims to cite. DocuMind checks that on every single answer, before it ever reaches you.

Diagram showing a query flowing through retrieval, reranking, generation, a faithfulness check, and ending in a cited answer

“What efficiency range does PEM electrolysis reach today?”

PEM electrolyzers currently reach system efficiencies of up to 83 kWh/kgH₂, compared to 78 kWh/kgH₂ for alkaline systems2, though both are projected to fall below 45 kWh/kgH₂ by 20502.

[2] Hydrogen_Cost_Analysis.pdf · p.14 faithfulness 0.94

✓Exact page citations, not "somewhere in this document" — click a citation and see the original page, table, or figure it came from.
✓Every answer is faithfulness-scored against its retrieved sources — a number, not a vibe — and unsupported claims are flagged, not smuggled in.
✓Low-confidence retrieval triggers a corrective retry — the system rewrites the query and searches again before it ever guesses.
✓Off-topic or unanswerable questions get refused, not answered from general knowledge dressed up as if it came from your documents.

How It's Tested

We don't just claim accuracy. We gate every release on it.

Before any change to retrieval, ranking, or generation ships, it runs against a held-out test set of real questions with known correct sources — a change that regresses accuracy doesn't go out, regardless of how good it looks in a demo.

Retrieval

Precision & recall, measured

Every embedding and retrieval change is benchmarked against known-correct answers before it's allowed to ship — not assumed to be better because it's newer.

Generation

Faithfulness, scored per answer

Answers are checked against their sources automatically, and the check itself is run blind, with labels swapped, to catch the model favoring one phrasing over another.

Deployment

Gated, not hoped for

A deploy that fails the accuracy gate doesn't reach production — the same discipline you'd expect from a testing pipeline, applied to answer quality.

See It On Your Documents

Bring a real document. Ask it a real question.

The fastest way to evaluate DocuMind is to try it directly — upload something you already know the answer to and see whether the citation actually holds up. If you'd rather walk through it with someone first, book a short demo instead.

Try it here →