document-extraction-api

To extract structured data from PDFs and images, you provide a defined schema with typed fields and the input documents. The AI-powered field extraction returns validated structured JSON with confidence scores and source citations for each value.

Yes, you can extract specific fields from invoices, resumes, receipts, contracts, and forms into JSON. You define a schema with typed fields, including calculated fields and default values, to pull totals, line items, or applicant data automatically.

Supported file formats for AI-powered document field extraction include PDF, DOCX, XLSX, images, HTML, CSV, Markdown, JSON, and plain text. This multi-format support allows automated extraction from diverse document types without manual data entry.

Yes, schema validation supports typed fields with calculated fields and default values. The extraction returns confidence scores alongside source citations for each extracted value, ensuring structured data accuracy and traceability across documents.

The best way to automate invoice data extraction is by defining a schema with typed fields like totals and line items, then processing the invoices through AI-powered field extraction. This returns structured JSON with confidence scores and source citations.

You validate extracted document data by defining a custom schema with typed fields before processing. The AI extraction validates the documents against your schema, returning structured JSON data with confidence scores and source citations for each extracted value.