AI system
Document AI for accounting
Upload an invoice, an act or a delivery note — as a PDF, a scan or a photo from a phone. The system pulls out the details and the line items, recalculates the totals and VAT, and shows where the numbers do not agree.
Overview
What it handles
The input is whatever the supplier sent: a clean PDF, a scan or a photo taken on a phone at an angle. The output is a table of extracted line items with the arithmetic checked — totals, VAT and the sum of positions against the stated total — plus an Excel file.
The point is not extraction on its own. Any OCR can read numbers off a page; the useful part is the check afterwards, because a document that parses perfectly can still be wrong. Mismatches are shown rather than silently corrected: the decision stays with the accountant.
What it does
- Reads PDF, JPG and PNG, up to 15 MB per file
- Extracts counterparty details and line items
- Recalculates totals and VAT
- Flags where the arithmetic does not agree
- Exports to a table and to Excel
- Runs on your documents, in your language
Questions
Document AI, answered.
What happens to the uploaded files?
In the demo nothing is stored: results live in memory until the process restarts. In a production deployment storage is your decision, and it is usually the first thing we agree on.
How accurate is the extraction?
It depends on the document, and we do not quote a single accuracy figure, because the number from one supplier's clean PDFs says nothing about another's phone photos. The honest way to find out is to run your own documents through it, which is what the demo is for.
Does it replace the accountant?
No. It does the reading and the arithmetic and surfaces the disagreements. Deciding what to do about a mismatch is the part that needs a person, and the system is built so that part stays with one.
Which document types are supported?
Invoices, acts and delivery notes out of the box. Other forms are a matter of training on your examples — that is part of the deployment, not a separate product.
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