Read the fields in invoices, waybills, contracts and application documents with AI and OCR; fill in the relevant ERP form as a draft and simply approve.
Document data extraction (intelligent document processing) is reading the information in scanned or digital documents with AI and turning it into structured data. Classic OCR only recognizes text, while ErucaAI also understands what the text means: it can tell which amount is VAT, which date is the due date and which clause is a penalty clause.
Extracted fields are filled into the relevant form in Eruca ERP as a draft: a supplier invoice becomes a journal entry, an application document is linked to the loan application, and a contract to the customer account. The user just reviews and approves. Every approval makes the model more accurate on the next document.
Scanned, photographed or faxed documents; high-accuracy text recognition, including Turkish characters.
Automatic reading of fields such as invoice number, date, tax ID, amount, VAT, line items and due date.
The type of each incoming document (invoice, waybill, contract, ID, balance sheet) is identified automatically.
Extracted values are written to the relevant ERP form as a draft; the user approves.
Totals, tax IDs and order matches are checked; suspicious fields are flagged.
Parties, term, termination, penalty and collateral clauses are summarized; risky clauses are highlighted.
e-Invoice and e-Archive XML files are read directly, with no need for OCR.
Documents arriving from a mailbox, folder or scanner are processed in batches in a queue.
A document arrives by email, scanner or upload; it is read, checked and lands in front of the right person for approval.
Teams processing hundreds of supplier invoices and expense documents every month.
Institutions reading balance sheets, tax certificates and ID documents in application files.
Teams working with waybills, bills of lading and delivery documents.
Units tracking a contract portfolio and running clause-level risk analysis.
Accuracy depends on document quality and type. In digital PDFs and e-Invoice XML files, fields are read almost flawlessly; in scanned documents, uncertain fields are flagged and never become a record without user approval.
OCR only recognizes the text in an image. AI-powered document processing extracts the meaning of the text: it finds the fields, identifies the document type, checks consistency and places the data in the right form.
Documents in Turkish and English first and foremost, as well as documents written in Latin, Cyrillic and Arabic scripts, are supported.
No. OCR and the language model run on your on-premise server; documents never leave the corporate network.
Yes. A few approved examples are enough for a new document type; on subsequent documents, the model finds the fields on its own.
Pick a real business problem; in a short pilot we connect your data, measure in shadow mode and review the results together.
Describe a real business problem; we'll define the pilot scope together.
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