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AI Finance OCR

Digitalize your expenses with AI

Freemium
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Description

AI Finance OCR leverages artificial intelligence to digitalize a wide array of expense documents. The system is designed to accurately scan and process items such as receipts, bank statements, invoices, handwritten lists, and more, converting them into digital format. It supports various file types including Microsoft Office documents (.docx, .xlsx), PDFs, CSVs, HTML, and images, including those of handwritten notes.

The technology is engineered to handle real-world document conditions, including processing expenses that may be crumpled, partially torn, folded, reversed, blurry, or imperfectly scanned. Furthermore, its API can recognize expenses spread across multiple documents and process different types of expenses within a single request. Secure document processing is a key feature, with all documents and information automatically destroyed upon completion of an API request.

Key Features

  • Expense Recognition Across Documents: Recognizes expenses spread across multiple provided documents, such as long receipts photographed in parts.
  • Simultaneous Multiple Expense Type Processing: Processes various expense types (e.g., receipts, invoices, bank statements) in a single API request.
  • Secure Document Handling: Automatically destroys all documents and information upon completion of an API request.
  • Multi-Format Support: Accepts various file types including Microsoft Office files (e.g., .docx, .xlsx), PDFs, CSVs, HTML, images, and photos of handwritten notes.
  • Robust Imperfect Document Processing: Accurately extracts data from crumpled, torn, folded, reversed, blurry, or partially scanned documents.

Use Cases

  • Digitalizing invoices for accounting and record-keeping.
  • Extracting data from bank statements for financial analysis.
  • Processing receipts for automated expense reporting.
  • Converting handwritten expense lists into structured digital data.
  • Scanning cheques for digital archiving.
  • Organizing credit card reports for expenditure tracking.
  • Digitalizing tickets and similar documents for expense claims.

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