{"repo":"xavctn/img2table","free":true,"listed":false,"github":"https://github.com/xavctn/img2table","clone":"git clone https://github.com/xavctn/img2table.git","description":"img2table is a table identification and extraction Python Library for PDF and images, based on OpenCV image processing","language":"Python","stars":891,"topics":["image-processing","opencv","python","table-extraction"],"license":"MIT","category":"media-processing","readme_excerpt":"img2table img2table is a simple, easy to use, table identification and extraction Python Library based on OpenCV image processing that supports most common image file formats as well as PDF files. Thanks to its design, it provides a practical and lighter alternative to Neural Networks based solutions, especially for usage on CPU. Table of contents - Installation - Features - Usage - Documents - Images - PDF - Supported OCRs - Table extraction - Excel export - Examples - FYI / Caveats Installation The library can be installed via pip: Command Description --------------------------------- ------------------------------------------- pip install img2table Standard installation, supporting Tesseract pip install img2table[paddle] For usage with Paddle OCR pip install img2table[easyocr] For usage with EasyOCR pip install img2table[doctr] For usage with docTR pip install img2table[surya] For usage with Surya OCR pip install img2table[rapidocr] For usage with RapidOCR pip install img2table[gcp] For usage with Google Vision OCR pip install img2table[aws] For usage with AWS Textract OCR pip install img2table[azure] For usage with Azure Cognitive Services OCR Features - Plug-and-play table extraction from heterogeneous documents, including native PDFs, scanned PDFs and images, with minimal configuration - Handling of complex table structures such as merged cells - Table content extraction by providing support for OCR services / tools - Extracted tables are returned as a simple object, in","default_branch":null,"files":null,"tree":[],"storefront":"/r/xavctn","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/xavctn/img2table/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}