Document data extraction for invoices, contracts and PDFs
Document data extraction turns the invoices, contracts, forms and PDFs arriving in your inbox into structured records in the system that needs them. Fields come out, get validated, get scored for confidence, and land where they belong. Anything the extraction is unsure about goes to a person for a two-second check rather than being guessed at.
What problem this solves
“Someone on our team retypes numbers off PDFs for fifteen hours a week, and they still make mistakes.”
Somebody on the team retypes numbers off PDFs. It is usually one person, it is usually most of a day a week, and they still make mistakes — not through carelessness but because manual transcription has an error rate that no amount of care removes.
The arithmetic is blunt and it is arithmetic you can do yourself: take the hours a week that go into typing documents and multiply by what that hour costs you. Fifteen hours a week of admin time is roughly twenty-five thousand dollars a year, and the error rate is on top of that.
This is the least price-sensitive niche in our catalog for a reason. It is pure back office, it does not depend on marketing fashion, and the cost it removes is a salary line rather than an opportunity nobody can prove.
Typically 80–90% of the volume processed without anyone touching it, and the remainder queued for a two-second human check.
Market contextThis is the least price-sensitive niche in the catalog, and the arithmetic is blunt: 15 hours a week of admin time is roughly $25,000 a year. It is also pure back-office — no dependence on marketing fashion.
What runs, end to end
- 01Document arrives
- 02Extract the fields
- 03Validate and score confidence
- 04Human review if unsure
- 05Push to the system
Who this is for
Legal, accounting, logistics and insurance — the sectors where documents are the work rather than a side-effect of it, and where the volume is steady enough that the manual version has already been someone's job for years.
It fits any company processing more than a few dozen documents a week in a repeatable format. Below that the review step costs more attention than the typing it saves; above it the case makes itself.
It is a poor fit for genuinely one-off documents where every one is different. The value comes from the same shape arriving repeatedly, not from the extraction being clever.
- Sectors
- Legal · Accounting · Logistics · Insurance
- Strongest fit
- United StatesEurope
What it costs
| Size | Build | Monthly |
|---|---|---|
| Micro | Build$800–$1,600 | Monthly$200–$400/mo |
| Small business | Build$2,000–$4,000 | Monthly$500–$1,000/mo |
| Mid-market | Build$5,000–$9,000 | Monthly$1,200–$2,500/mo |
All prices are in US dollars. Out-of-scope work is $35–$60/hour. AI usage is billed at cost plus 20%, or you bring your own API key.
Frequently asked questions
- What accuracy should we expect?
- Typically eighty to ninety per cent of volume processed with nobody touching it, and the rest queued for review. We would rather quote that honestly than promise a hundred: the build is designed around the assumption that some documents will be unclear, which is what makes the confidence threshold and the review step load-bearing rather than decorative.
- What happens to the ones it is unsure about?
- They go to a review queue with the extracted values pre-filled and the source document beside them, so the human step is confirming rather than transcribing. That is the difference between a two-second check and doing the job again.
- Can it handle scans and photographs?
- Yes, through OCR, with the caveat that quality sets the ceiling. A clean PDF extracts better than a photograph of a crumpled invoice taken in a van. We test against your actual documents during scoping rather than against samples.
- Where does the data end up?
- Wherever it needs to be — QuickBooks, Xero, an ERP, a Postgres table, a spreadsheet. The extraction and the destination are separate steps by design, so changing where it lands later does not mean rebuilding how it reads.
- Is our document data used to train anything?
- No. We work with the minimum access needed and say so in writing in the proposal. We also keep regulated clinical and financial records out of initial scope deliberately — if that is your case, raise it on the first call so we scope for it properly.
Let us do the arithmetic together: how many hours a week go into typing documents, and what does that hour cost?
Figures on this page are public industry benchmarks, not results measured on Amagenon client accounts. We will size the numbers against your own data on the audit call.
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