Extracts machine-readable text from images, photos, scans, screenshots, and scanned PDFs with strong accuracy for CJK, small print, and handwritten text.
This skill leverages PaddleOCR to perform optical character recognition (OCR) on images, enabling developers and AI agents to extract text from a variety of input formats including photos, scans, screenshots, and scanned PDFs. It returns exact, machine-readable strings with line-level accuracy and optional bounding box (bbox) coordinates for each detected text region. The skill excels in handling CJK characters, small print, and handwritten text, making it ideal for use in document processing, data entry automation, and content analysis pipelines. It is designed as a portable skill compatible with AI agent platforms such as Claude Code, Cursor, and Codex, and is triggered by common OCR-related terms like "OCR", "text recognition", "image to text", and their Chinese equivalents.
npx skills add https://github.com/aidenwu0209/paddleocr-skills/tree/main/skills/paddleocr-text-recognitionInstalled? Explore more Image skills: steipete/songsee, affaan-m/frontend-design, mattpocock/improve-codebase-architecture · View all 6 →
Use this skill whenever the user wants text extracted from images, photos, scans, screenshots, or scanned PDFs. Returns exact machine-readable strings with line-level text and optional bbox coordinates. Strong accuracy for CJK, small print, and handwritten text. Trigger terms: OCR, text recognition, image to text, screenshot text extraction, scan text recognition, plain text extraction, bbox, bounding box, photo scan, recognize text.
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