Extract text and structured fields from images and scanned documents.
npx skills add https://github.com/JigsawStack/interfaze-skills --skill ocr-jigsawstack
Please help me install this Agent Skill. Skill: ocr Source: https://github.com/JigsawStack/interfaze-skills/tree/main/skills/ocr Command: npx skills add https://github.com/JigsawStack/interfaze-skills --skill ocr-jigsawstack
OCR removes the manual effort of reading and retyping information from screenshots, scans, receipts, invoices, forms, and complex documents by turning visual content into usable text or structured fields.
Ask the AI to extract the text and key fields from your uploaded receipt image so you get the readable output immediately.
High-intent search queries and answers about installing and using this skill.
OCR extracts text from scanned invoice images by digitizing visual content into usable text. It captures readable output and structured fields like names, totals, and line items directly from the image without manual retyping.
Yes, receipt parsing supports schema-constrained outputs alongside plain text mode. You can define schemas using Zod or Pydantic to extract specific structured fields like vendor names, addresses, totals, and line items from the visual input.
Yes, the OCR tool processes both PDF file inputs and screenshots. It applies layout-aware information extraction to scanned documents and images, ensuring readable output from complex visual inputs while respecting the original document layout.
Raw mode in document digitization returns detailed OCR artifacts such as bounding boxes and confidence signals alongside the text. You need it when building applications that require precise text location data or extraction accuracy verification.
You get structured data from an ID card image by applying schema-based OCR extraction. The tool processes the visual input and returns constrained output fields, converting the physical card information into usable digital data formats.
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