Document Data Extraction, So Nobody Retypes Invoices by Hand Anymore Someone on your team opens PDF invoices, contracts, or forms every day and manually retypes numbers, amounts, and dates into your system. They're careful, but by the thirtieth document that day, a digit finally gets mistyped.
Ready to publish without client-provided data. --- # Document Data Extraction, So Nobody Retypes Invoices by Hand Anymore
Someone on your team opens PDF invoices, contracts, or forms every day and manually retypes numbers, amounts, and dates into your system. They're careful, but by the thirtieth document that day, a digit finally gets mistyped.
Invoices arrive by email, in different formats, from different suppliers — one has a line-item table at the top, another at the bottom, a third has no table at all. Someone has to open each one, find the right numbers, and retype them into the accounting or ERP system.
At small volumes, that works. At higher volumes, someone starts spending whole days on it, and errors — a mistyped amount, a misread tax ID — only surface at reconciliation, when fixing them costs more than the retyping ever did.
We automate reading data from documents and entering it into your system — flagging uncertain cases for a human to check, instead of silently guessing.
We combine text recognition (OCR) with a language model that understands document context — able to tell an invoice number from an order number even in an unusual layout. Every extracted field carries a confidence score; cases below the threshold go to a manual review queue. Sensitive data is processed in the EU or locally on your infrastructure, with an NDA signed before we start.
What we don't do: we don't offer an off-the-shelf tool that handles only one standardised format and breaks at the first exception.
This is a new service line, and we don't yet have completed implementations to show — we say that plainly. Our first rollouts run as a pilot at a preferential rate, in exchange for the right to describe the outcome as a reference case.
Implementation covers one document type to start — each additional type is priced separately, since it needs its own tuning.
Price depends on how many document layouts exist, how many fields need extracting, and how complex the integration with your target system is. You know the price after the sample analysis, not before.
Accuracy threshold before go-live. We set it on your sample — if the solution doesn't reach it, we don't switch the process into production mode.
Manual review queue. Every case below the confidence threshold goes to human review, never disappears into the system unchecked.
Data confidentiality. Processing in the EU or locally, with an NDA signed before we analyse your documents.
Implementation requires sample analysis and a trial period — the real timeline depends on how many document layout variants exist; more variants mean a longer tuning phase.
Send us a sample of documents (anonymised if needed) and where the data should go — we'll reply within a few business days with a feasibility assessment and a price.
Every month of manual retyping is team hours you won't get back, and a growing risk that the next invoice-amount error costs more than the whole implementation.
Automatic reading of one document type, with a confidence threshold set on your sample · uncertain cases go to manual review · data processed in the EU or locally, under NDA · integration with your system · price known after sample analysis.
Most commonly invoices, contracts, application forms, and similar documents with a repeatable but inconsistent structure. We start with one type before expanding scope.
They go to a manual review queue based on the confidence threshold — they're never entered into the system without a human check.
A sample, anonymised, is enough for analysis and testing — full production data stays with you unless we agree otherwise in writing.
It depends on how many layout variants exist and how much time manual retyping currently takes — we work that out together during sample analysis.
A new, previously unseen layout typically goes to the manual review queue as an uncertain case, until we tune the solution to the new template.