Automatic transfer of data from documents into your operational systems

Every business faces the daily need to process incoming documentation: invoices from suppliers, customs declarations, bank statements, price lists, or technical passports. Most often, these documents arrive in PDF format or as scanned images. Manually transferring tables and figures into accounting systems or Excel takes up a lot of time for back-office staff and inevitably leads to errors that can prove costly for the company.

AI-Robot Studio develops custom software solutions for the automatic parsing and digitisation of documents. We create parsers that independently locate required fields, recognise text and tables in documents of any structure, and transfer them error-free into a unified database.

How does our document parsing algorithm work?

  1. Structure and text recognition (OCR): If the document is a scan or image, the system uses optical character recognition (OCR) technology to convert the image into editable text. We configure computer vision algorithms so the parser accurately identifies the boundaries of tables, columns, and individual cells.
  2. Contextual field extraction: The parser searches the document for strictly defined data: invoice numbers, dates, counterparty details, tax amounts, totals, and itemised lists of goods. We set up flexible rules that allow the bot to locate these fields, even if different suppliers place them in different parts of the page.
  3. Mathematical data validation: To eliminate recognition errors (for example, when the system confuses the digit 8 with the letter B), we incorporate logical checks into the backend. The bot automatically rechecks the document’s calculations: multiplying the quantity of goods by the price and comparing it with the line total. If discrepancies are found, the system immediately flags the document for quick manual review.
  4. Export to structured format: All digitised data is automatically saved into a final Excel file, CSV, transferred via API to your CRM/ERP system, or entered directly into a relational database.

What problems does automatic PDF data extraction solve?

  • Freeing staff from routine tasks: The speed of automatic recognition and import for a single document takes just a few seconds. Your team is freed from monotonous work and can focus on analytical tasks.
  • Guaranteed accounting accuracy: Individually configured validation rules reduce the likelihood of typos and manual input errors to almost zero, ensuring perfect cleanliness of your databases.
  • Digitisation of archives and analytics: We help transform terabytes of disparate PDF files and scans into a unified, structured database with the ability to quickly search, filter, and generate summary reports.

Technology stack and security

To create document parsers, we use reliable tools in Python (libraries such as Tesseract OCR, pdfplumber, PyPDF) combined with flexible post-processing and validation algorithms. All computations can be performed locally on your servers or in a secure cloud, ensuring complete confidentiality of your company’s commercial and financial information.

If you want to automate the processing of incoming invoices, price lists, or reports, contact the specialists at AI-Robot Studio. We will analyse the structure of your documents, develop an accurate recognition algorithm, and implement a seamless digitisation system on a turnkey basis.