google-document-ai-ocr

To extract text and structured data from scanned invoices, you can use an OCR Skill that processes base64 encoded files, public URLs, or file storage IDs to retrieve dates, amounts, names, addresses, and line items automatically.

OCR text extraction supports PDFs, images, and scanned documents. You can provide these files for processing via base64 encoding, public URLs, or file storage IDs to retrieve both raw text and per-page metadata.

Yes, you can automate invoice processing to extract key financial details and populate a database. The Skill performs Optical Character Recognition to pull structured entities like amounts and line items directly from your scanned documents.

Document intelligence works for extracting entities by applying Optical Character Recognition to analyze documents and identify structured data such as dates, amounts, names, addresses, and line items alongside general text retrieval.

Yes, the OCR API requires wallet signatures and credit management for execution. You must manage these prerequisites to successfully run the external API for document processing and data extraction.

The best way to process a batch of PDFs for data extraction is to submit them via public URLs or file storage IDs to an automated OCR service, which outputs structured entities and per-page metadata without manual data entry.