Extract text and structure from scans, images, and scanned PDFs. Use for OCR, searchable PDFs, table extraction, receipt parsing, and business card parsing.

OCR Document Processor Handle OCR heavy inputs where text must be recovered from images or scanned pages. Use This For OCR on images and scanned PDFs Searchable PDF export Structured extraction to text, markdown, JSON, or HTML Table extraction from scanned material Receipt parsing and business card parsing Workflow 1. Decide whether plain OCR, structured extraction, or document specific parsing is needed. 2. Preprocess noisy inputs before extraction when skew, blur, or shadows are present. 3. Use scripts/ocr processor.py for core OCR tasks. 4. Use the focused helpers when the input is specialized: scripts/business card scanner.py scripts/receipt scanner.py 5. Return confidence caveats when the source is low quality, rotated, handwritten, or multilingual. Guardrails Prefer explicit language selection when accuracy matters. Do not claim fields are exact when OCR confidence is weak. Route non scanned digital PDFs to document converter suite instead of OCR by default.

ocr-document-processor