Nanonets OCRv1.0.2

Extract key fields like invoice number, date, vendor, and total amount from PDF invoices to automate accounts payable workflows. Use JSON output with confidence scoring to flag low-confidence entries for manual review, reducing data entry errors and speeding up processing.

Convert scanned receipts into structured data (e.g., CSV or JSON) to track expenses, categorize spending, and integrate with accounting software. This enables real-time expense reporting and compliance auditing for businesses.

Parse legal documents to extract clauses, dates, and parties into markdown or JSON for review and summarization. This aids in due diligence, contract management, and identifying key terms without manual reading.

Extract transaction details, balances, and dates from bank statements to analyze cash flow, detect anomalies, and generate reports. Use async extraction for large documents to handle multi-page statements efficiently.

OCR patient intake forms and medical records to convert them into structured data (e.g., JSON with custom schemas) for electronic health record systems. This improves data accuracy and accessibility while maintaining confidentiality.

Offer tiered pricing based on usage volume (e.g., number of documents processed per month) with features like advanced extraction modes and priority support. Target small to medium businesses needing scalable OCR solutions.

Charge per document or API call, appealing to developers and enterprises with variable workloads. Include add-ons for custom instructions or high-volume async processing to upsell power users.

Provide custom integrations, dedicated support, and on-premise deployment options for large organizations in regulated industries like finance or healthcare. Focus on security, compliance, and high-throughput needs.