AI Accountant for source documents
It reads delivery notes, invoices, UPDs, and acts straight from a photo or scan, reconciles the details and totals, and enters them into 1C. Your accountant stops keying in documents by hand and gets back to accounting instead of typing.
How much time source documents eat up
Manual data entry is the most expensive and most pointless part of an accountant's job.
Keying in by hand
One document takes 3–7 minutes to enter line items, totals, and details. A hundred documents a month turns into several working days.
Errors and refilings
A typo in an amount or a tax ID surfaces during reconciliation or a desk audit. Fixing it costs more than careful entry would have.
Documents arrive every which way
A photo in a messenger, a scan in email, paper in a folder. By the time it's all gathered and reaches the books, the deadlines are already on fire.
What the AI Accountant does
It takes documents in any form — a phone photo, a PDF, a scan — and turns them into structured data for the books.
- Reads delivery notes, invoices, UPDs, acts, and receipts — including photos at an angle and crumpled paper
- Extracts line items, quantities, prices, totals, VAT, and both parties' details
- Reconciles the totals: whether the line items add up to the total, whether the VAT is correct
- Checks the counterparty's tax ID and details, and flags discrepancies
- Exports to 1C or a spreadsheet in the format you need
- Files documents into a searchable archive: 'show all acts from this supplier for the quarter'
How we launch it
Review your documents
Which forms come in, from which suppliers, and in what shape
Tune the recognition
We train it on your real documents, including non-standard forms
Connect the export
To 1C, a spreadsheet, or your accounting system
Trial period
At first your accountant checks the results, then only spot-checks
The first months — with a dedicated manager
The AI is not launched “as is” and left unattended. For the first 1–3 months a dedicated manager runs your process: tunes the system to you, checks every result and fixes mistakes — while the AI learns on your real data in parallel. Nothing goes live without a human in control.
Dedicated manager
A dedicated specialist runs your process by hand together with the AI: tunes it to your documents and rules, checks every result, corrects mistakes. The system learns on your data.
Autopilot or ongoing support
Once quality is stable, you decide: move the process to autopilot (cheaper, the AI works on its own, the manager on standby) or keep permanent support.
Ongoing oversight, if you want it
For critical processes — primary documents, paid ads, contracts — many keep the manager for good: they backstop it, develop scenarios and own the result.
This removes the main fear of automation — “what if it makes a mistake”. Until the AI has proven its accuracy on your tasks, a human is accountable for the result. We agree the format and cost of support around your process.
Where your data is stored
Source documents contain commercial information and personal data, so recognition runs on a local model by default. The best fit for accounting is an on-premise install: documents never leave the company's perimeter at all, which settles both 152-FZ and trade-secret concerns.
More about a local neural network on your own server →FAQ
Related reading
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Send us a batch of documents — we'll show you the result
Send 10–20 typical delivery notes or invoices. We'll run them through the AI Accountant and show you what it captured. Free of charge.
Let us try it on your data
Describe the task and send a couple of typical documents or examples — we will show how the system handles them, before any contract.