Neural2B service

Document Processing Automation with AI

We recognize invoices, waybills, and acts: extracting details, verifying amounts against contracts, and preparing drafts for accountants or operators.

Who it's for and what tasks it fits

✓Accounting and finance departments of companies
✓Logistics and distribution companies with a high volume of documents
✓Outsourcing accounting firms

What problem the solution solves

Manually transferring lines from hundreds of paper or PDF invoices takes days of work. Plus, there are annoying errors in details, delayed payments, and discrepancies during reconciliation with counterparties.

Capabilities

Recognizes text from PDFs, photos, and even poor scans

Extracts key details: number, date, supplier, company ID, nomenclature, VAT rate, amount

Automatically checks arithmetic: whether the sum of lines matches the total and whether the VAT is correct

Verifies the counterparty using the company ID in your database or public registers

Prepares a draft document — the accountant just needs to confirm it with one click

Implementation and rollout stages

Document Sample Analysis

We analyze typical acts, waybills, and invoices from your key counterparties.

Field Extraction Schema Construction

We write strict Zod/JSON schemas to ensure numbers are numbers, dates are dates, and codes are codes.

Confidence Threshold Adjustment

We set a confidence threshold. If any field raises doubts, the document goes for manual verification.

Integration with Accounting Software

We transfer verified data via API (Vchysno, 1C/QuickBooks, ERP) in the form of a ready draft.

Input data and required integrations

·Input formats: PDF, JPEG, PNG, scans, email attachments
·Electronic document management systems: Vchysno, Paperless
·Accounting systems and CRMs via reliable APIs

Automation boundaries and limitations

We tell you honestly upfront what the system can't do. It's easier that way than dealing with false expectations later:

✕The payment system will not process automatically — only after approval from the responsible person
✕Handwritten notes and blurry stamps that are hard to read go to the operator
✕Clear rules are needed for matching nomenclature with your directory

How pricing is calculated

Two components: basic pipeline setup and a fee for the actual number of processed pages or documents.

See estimated pricing benchmarks →Calculate the potential impact in the calculator →

Demo example

Document Recognition and Approval

The company receives dozens of invoices, acts of completed work, and waybills from various suppliers. In PDF, scans, or photos. The accountant spends up to 4 hours daily entering amounts manually, verifying the company ID, IBAN account numbers, and searching for which contract to link each document to.

View the scenario diagram →

Frequently asked questions about the service

What if the counterparty sent a document in a strange format?▾

Modern multimodal models handle any column layout well. Old template-based OCR systems struggled with such formats.

Can this be integrated with the 'Vchysno' system?▾

Yes. If there is access to the API, we can set up direct uploads or status reconciliation.

How to control errors?▾

The system highlights recognized fields in color directly over the scan. The accountant confirms or corrects the data in seconds.

Want to talk through your process?

We'll look at how things work for you now, check whether AI is really needed here, and map out the first pilot.

Discuss my task

Other services

Let's start with your process: Document Processing Automation

Describe the process that’s eating up your team’s time. We’ll suggest what can be automated, what data is needed, and where to start.