Alternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
A scene text recognition toolbox based on PyTorch
YomiTokuはAIを活用した日本語文書解析エンジンを提供するPythonパッケージです。 Yomitoku is an AI-powered document image analysis package designed specifically for the Japanese language.
$ npx skills add kotaro-kinoshita/yomitoku带带弟弟 通用验证码识别OCR pypi版
$ npx skills add sml2h3/ddddocrOCR model that handles complex tables, forms, handwriting with full layout.
$ npx skills add datalab-to/chandraGLM-OCR: Accurate × Fast × Comprehensive
$ npx skills add zai-org/GLM-OCR开源易用的中文离线OCR，识别率媲美大厂，并且提供了易用的web页面及web的接口，方便人类日常工作使用或者其他程序来调用~
$ npx skills add alisen39/TrWebOCROCR powered screen-capture tool to capture information instead of images
$ npx skills add dynobo/normcapOCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched
$ npx skills add ocrmypdf/OCRmyPDFA pytorch re-implementation of Real-time Scene Text Detection with Differentiable Binarization
$ npx skills add WenmuZhou/DBNet.pytorch(CRNN) Chinese Characters Recognition.
$ npx skills add Sierkinhane/CRNN_Chinese_Characters_RecA Python wrapper for the tesseract-ocr API
$ npx skills add sirfz/tesserocrEnhances Tesseract OCR output using LLMs (local or API) for error correction, smart chunking, and markdown formatting of scanned PDFs
$ npx skills add Dicklesworthstone/llm_aided_ocrHandwritten Text Recognition (HTR) system implemented with TensorFlow.
$ npx skills add githubharald/SimpleHTR超轻量级中文ocr，支持竖排文字识别, 支持ncnn、mnn、tnn推理 ( dbnet(1.8M) + crnn(2.5M) + anglenet(378KB)) 总模型仅4.7M
$ npx skills add DayBreak-u/chineseocr_lite[验证码识别-训练] This project is based on CNN/ResNet/DenseNet+GRU/LSTM+CTC/CrossEntropy to realize verification code identification. This project is only for training the model.
$ npx skills add kerlomz/captcha_trainerOCR software, free and offline. 开源、免费的离线OCR软件。支持截屏/批量导入图片，PDF文档识别，排除水印/页眉页脚，扫描/生成二维码。内置多国语言库。
$ npx skills add hiroi-sora/Umi-OCRPDF craft can convert PDF files into various other formats. This project will focus on processing PDF files of scanned books.
$ npx skills add oomol-lab/pdf-craftHow to choose
Use an alternative when it has a clearer install path, higher trust score, fresher maintenance, or better platform fit for your current agent stack. Keep Vedastr if it already passes your workflow test and repository review.
Next step
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.