{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/2"}],"enrichment":{"capability":"RapidOCR extracts text from images using ONNX-based models optimized for speed and cross-platform deployment, supporting Chinese, English, and other languages with offline inference.","skillfed_tags":["ocr","computer-vision","offline-inference"],"use_cases":["Extract text from scanned documents or photographs for data entry or archival without cloud dependencies.","Build document processing pipelines that detect and recognize text in invoices, receipts, or forms.","Integrate OCR into desktop or embedded applications where offline operation and low latency are required.","Preprocess images for machine learning workflows that need structured text input from visual data.","Batch-process large image collections to extract and index text content locally."],"what_it_does":"RapidOCR is an open-source optical character recognition library that converts images into text using ONNX-format models derived from PaddleOCR. It's designed for speed and low resource consumption, supporting offline deployment across multiple platforms and programming languages. The Python package wraps these models with a simple API: instantiate an engine, pass an image (file path or URL), and receive structured text detection and recognition results.\n\nThe library depends on 11 runtime packages including opencv_python for image processing, numpy for numerical operations, and Pillow for image handling. It's actively maintained, supports Python 3.8 through 3.13, and has no known security vulnerabilities. The permissive Apache 2.0 license permits commercial use, though the underlying OCR models retain Baidu copyright.","worth_installing":"Yes. RapidOCR is worth installing for offline OCR tasks where speed and low resource use matter. It has active maintenance, no security issues, permissive licensing, and low install friction. The 11 dependencies are standard and well-maintained. Primary gotcha: models download on first use and require internet access for initial setup."},"id":"rapidocr","links":{"html":"https://skillfed.io/packages/rapidocr","md":"https://skillfed.io/packages/rapidocr.md","pypi":"https://pypi.org/project/rapidocr/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-21","license_spdx":"Apache-2.0","license_treatment":"permissive","name":"rapidocr","python_support":"supports_current","summary":"Awesome OCR Library"},"popularity":{"monthly_downloads":3730324,"position":2512,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"3.9.2"}