Extract structured text with confidence and coordinates from scanned documents.
npx skills add https://github.com/JustinChaney2023/orate --skill document-ocr
Please help me install this Agent Skill. Skill: document-ocr Source: https://github.com/JustinChaney2023/orate/tree/main/roles/document-ocr Command: npx skills add https://github.com/JustinChaney2023/orate --skill document-ocr
Build an end-to-end OCR ingestion pipeline that converts scanned documents and images into structured, searchable text with per-token confidence and coordinates, simplifying data capture from forms and handwritten notes.
Run the pipeline on a sample document to generate ocr_output.json with the attached data structure, along with preprocess_pipeline.md and test_corpus_guidelines.md.
High-intent search queries and answers about installing and using this skill.
OCR text extraction from scanned PDFs automates importing and normalizing document images, detecting regions, and outputting per-token text with confidence scores and bounding box coordinates.
Yes, lightweight form-aware extraction detects and segments form regions like headers, blocks, lines, and checkboxes, enabling structured data capture from handwritten forms and notepads.
The OCR pipeline generates ocr_output.json containing structured text with per-region mappings, preprocess_pipeline.md detailing scan normalization, and test_corpus_guidelines.md for corpus evaluation.
Multi-page document OCR processing imports each page, normalizes scans, detects regions, and runs OCR sequentially to produce continuous structured text with per-token confidence and coordinates.
Yes, the OCR pipeline performs quality checks and produces per-token text data that includes confidence scores and coordinates, ensuring reliable structured text extraction from images.
Digitizing handwritten forms uses OCR-driven ingestion to extract sections like Observations, Goals, and Signatures into structured text with bounding boxes, simplifying data capture for archives.
JKhyroExtract text, tables, and markdown from PDFs, scans, and office files.
ygfuyfffdf-maxExtract text, tables, and metadata from PDFs using Python scripts.
DengNaichenImplement computer vision features with Apple's Vision framework for iOS and macOS.
legoutExtracts text and structured data from images using OCR engines.
