Manuscripts, bulletins, case files, forms — PDFs that were locked in layout come back as clean, structured markdown you can search, edit, quote, and build on. NicNacParse runs on our own machines, built from PyMuPDF, pdfplumber, and RapidOCR — so your documents never leave our machines to be read by a metered service, and our internal cost is $0 a page.
Published head-to-head: NicNacParse 21 of 21 checks · LlamaParse 20 of 21 · Same seven documents, same scorer.
Upload a PDF and NicNacParse will read it right here — pages, layout, and tables rebuilt into clean markdown in front of you. This is the same pipeline we run for clients, not a recording and not a mock-up.
PDF only, up to about 2 MB for this demo. Pick a bulletin, a chapter, a form — anything with real layout — and watch what comes back.
The demo reads your file in memory and discards it the moment the result returns. It stores nothing.
Nothing read yet. Your parsed markdown will appear here — headings, reading order, lists, and tables rebuilt as text you can actually use.
Four kinds of work, one problem in common: the words are trapped in a PDF layout, and retyping them is nobody's job. NicNacParse hands the words back — structured, searchable, and ready.
Authors — manuscripts in, clean chapters out. A draft that exists only as a PDF comes back as structured markdown: chapter headings as headings, scenes in reading order, dialogue intact. From there it can be edited, formatted, set as a book, or handed to the next tool in your process without a retype.
Churches — bulletins, archives, and sheet music. Weekly bulletins, years of archived orders of service, hymn scores with small print — the paperwork of a congregation, made searchable and reusable. In our published test, NicNacParse caught the small-print fingerings on a hymn score that the paid service dropped.
Book-length prose was one of the seven published test classes — parity with the paid service, chapter structure and tables rebuilt. Send the manuscript PDF; get back markdown you can edit, publish from, and archive.
Church flyer: parity. Sheet music: NicNacParse ahead — it caught the small-print fingerings (3 1 2 4) theirs dropped. Bulletins and archives become text your team can search, reprint, and reuse.
Case files arrive as scans, forms, and long reports. Multi-column layouts and the 16-page report class both scored parity; scanned pages matched on accuracy with a character error rate of 0.87% against exact ground truth. And the files are read on our machines — they never leave our machines for a metered upload service.
Intake forms, worksheets, and records become structured markdown a person — or your own system — can work from, instead of a picture of a page. Form/worksheet parsing scored parity in the published test, with no invented fields.
The pipeline is automated. The responsibility isn't. Every paid job passes a human review before it reaches you — because a table that's almost right is exactly the kind of wrong that matters.
Tell us what you have and what you need it to become, using the form below. We confirm scope and price personally before anything is billed. Then you send the documents.
NicNacParse reads each document on our own machines — PyMuPDF and pdfplumber for born-digital pages, RapidOCR for scans — rebuilding headings, reading order, lists, and tables.
A person reviews the output against the source — structure, tables, completeness — and flags anything the machine marked as uncertain instead of guessing at it. Invent nothing is the house rule.
You receive clean, structured markdown — ready to edit, search, publish, or feed into your own systems — along with a plain note of anything that needs your eye.
Why we own the pipeline: every page sent through a metered parser is rent paid on your own paperwork — and the document travels to be read. LlamaParse, the service we measured ourselves against, charges 10 credits a page. NicNacParse reads on our machines at $0 a page internally, page one and page ten thousand alike. That's why our pricing below is per document and per month — not per page against a meter.
NicNacParse was run head-to-head against LlamaParse on the same seven document classes, scored by a fixed mechanical checker, with the tests written before either system ran. The full scorecard — including where they're still better — is public.
Mechanical checks passed across all seven document classes.
The paid service's score on the identical tests, same scorer.
Runs on our own machines. No meter, no per-page rent.
Charged per page at the tier tested.
Read the Full Published Scorecard The Proof Hub — every published result
We don't rent the tools our clients' businesses run on.
NicNacParse is ours — built from open-source components, tuned by us, run on our machines. Your documents are read here, reviewed by a person here, and handed back as markdown you own outright.
Start with a single document, or put your ongoing flow on a monthly plan. As your document flow grows, the plan steps up with it — and the effective per-document cost steps down.
We confirm scope and price personally before anything is billed. Nothing is charged today. If your flow sits between plans, say so in the intake — we'll scope it honestly rather than squeeze it into the wrong tier.
A manuscript, a box of bulletins, a stack of case files — describe it in plain words. A person reads every intake.
Prefer email? Write to us — a person answers: sales@nicnacsystems.com
Prefer to talk first? Call (904) 689-3066 — a person answers.
Clean, structured markdown — headings as headings, paragraphs in reading order, lists as lists, tables rebuilt as tables — reviewed by a person against your source document before delivery. Markdown converts readily into documents, web pages, ebooks, and most writing and case tools, and it stays readable as plain text forever.
To us — and no further. NicNacParse runs on NicNac's own machines, built from PyMuPDF, pdfplumber, and RapidOCR. There is no metered third-party parsing service in the middle, and your documents never leave our machines to be read. For sensitive practices, the Enterprise option deploys the pipeline behind your own walls instead.
We measured it rather than guessing. On the same seven document classes with a fixed mechanical scorer, NicNacParse passed 21 of 21 checks and LlamaParse 20 of 21 — parity on the book, church flyer, multi-column layout, form/worksheet, long report, and scanned pages, and ahead on sheet music. LlamaParse charges 10 credits a page; our internal cost is $0 a page, which is why our pricing is per document and per month. The full published scorecard is at /proof/parse-results/.
Three places, published in our own scorecard. Image description: LlamaParse describes pictures in words; NicNacParse marks that an image is there and moves on. Heavy-scan speed: on dense scanned pages our careful reading takes about 68 seconds a page locally versus about 2.4 seconds for theirs — accuracy ties (OCR character error 0.87% vs. their 0.69%), throughput doesn't. Wrapped-cell tables: when a table cell wraps onto two lines, ours sometimes splits it — every word present, in order, but the table needs the human glance our review step provides. We publish the gaps because a scorecard that only lists wins isn't proof.
Scoping depends on page count and condition, which is why every job starts with an intake. The published frame: from $25 per document (up to 25 pages, then $1 a page), or monthly — Studio $149/mo for up to 150 documents a month, Practice $349/mo for up to 500. As your document flow grows, the plan steps up with it and the effective per-document cost steps down. We confirm scope and price personally before anything is billed; nothing is charged today.
Sheet music was one of the seven published test classes, and it's the one where NicNacParse finished ahead: both systems read the title, tempo, key, lyrics, and chords and neither invented a note — ours also caught the small-print fingerings (3 1 2 4) that theirs dropped.
A person reads it, confirms scope and price with you personally, and only then is anything billed. You'll get a reference number the moment your request lands, so we can both track the conversation.
Run the live demo on your own PDF, or start an intake and talk it through with a person.
A person answers. That's rather the point.
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