Stop retyping data from PDFs and spreadsheets
Somewhere on your team, someone is opening PDFs and typing numbers into a spreadsheet by hand. It's slow, it's error-prone, and it doesn't scale past a handful of documents a day.
AI document extraction reads the PDF, spreadsheet, or scanned file and turns it into structured data automatically: no manual retyping, no copy-paste between systems.
Common fits: accounting and bookkeeping (statements, invoices), operations (POs, packing lists), and marketplace or catalog teams turning specs into structured fields or listing data.
What you get
- An extraction pipeline built for your specific document formats
- Structured output: CSV, JSON, or a direct write into your existing system
- A confidence check that flags anything uncertain for human review instead of guessing silently
- A short proof-of-concept on your real documents before the full build starts
- Deployment and a handover your team can run day to day
- Source code you own, no per-document license fee to us
How it works
A short call about the actual problem, not a feature list. What gets built, what it costs, and when it ships comes out of that conversation, fixed from day one.
We build in short cycles and show you working software every week. No black box, no surprise invoice.
Deployed, documented, and handed over. You own the code.
Optional ongoing support if you want us to keep improving it.
What it costs
Single-document-type extraction tools often fit the $2,000 Pilot tier. Multi-format or multi-system builds run $5,000–$10,000, scoped on a call.
Proof, not promises
We built and run three document AI tools ourselves: csvnormalize.com (messy CSV cleanup), bankstatementscsv.com (PDF bank statements to CSV), and cardstatementcsv.com (PDF credit card statements to CSV). They're live, public, and free to try. The same approach powers custom client builds.
See what we've builtQuestions
What kinds of documents can this handle?
Invoices, bank and credit card statements, receipts, purchase orders, and most structured or semi-structured PDFs and spreadsheets. If it has a repeatable layout, it can usually be automated.
How accurate is AI extraction, really?
It depends on document quality and layout consistency, and we tell you the expected accuracy for your documents before you commit. We also build in a review step for anything below a confidence threshold, rather than silently guessing.
Can you prove this actually works before I pay for a custom build?
Yes, go try bankstatementscsv.com or cardstatementcsv.com right now. Those are live, public tools built on the same approach we use for custom client work.
Where does my data go?
For a custom build, into infrastructure you control. Our public tools process files temporarily and delete them after conversion, the same privacy-first pattern we build into client systems.
What's the difference between using your public tools and a custom build?
The public tools handle a fixed set of common formats. A custom build handles your specific documents, your specific fields, and plugs into your existing systems (accounting software, a database, an internal dashboard).
What about scans, OCR, or multi-language documents?
Scanned PDFs and images are in scope when quality is good enough to read; we set expectations on accuracy after looking at real samples. Multi-language is possible when the languages and fields are defined in scope. We don't assume every language out of the box.
How much volume can this handle?
A Pilot usually proves one document type on a realistic sample. Production volume is sized in the build (batch jobs, queues, or on-upload processing) so you're not stuck with a demo that only works for ten files.
Tell us what you want to build.
Fixed scope, fixed price, first reply within one business day.
Start a project