Alternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Quick, painless, intuitive OCR platform written in Rust and TypeScript. Modern UI with modern API, with an emphasis on intuitive user experience.
Rust multi‑backend OCR/VLM engine (DeepSeek‑OCR-1/2, PaddleOCR‑VL, DotsOCR) with DSQ quantization and an OpenAI‑compatible server & CLI – run locally without Python.
$ npx skills add TimmyOVO/deepseek-ocr.rsPure Javascript OCR for more than 100 Languages 📖🎉🖥
$ npx skills add naptha/tesseract.js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视觉小说翻译器 / Visual Novel Translator
$ npx skills add HIllya51/LunaTranslator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/chandraA fast, helpful, and open-source document parser
$ npx skills add run-llama/liteparseA ready-to-go translation ocr tool developed with WPF/WPF 开发的一款即用即走的翻译、OCR工具
$ npx skills add STranslate/STranslateGLM-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/TrWebOCR花笺，轻量优雅的跨平台桌面便签工具，支持 Markdown 编辑与预览
$ npx skills add Achilng/floral-notepaperUse LLMs and LLM Vision (OCR) to handle paperless-ngx - Document Digitalization powered by AI
$ npx skills add icereed/paperless-gptOCR powered screen-capture tool to capture information instead of images
$ npx skills add dynobo/normcapGo package for OCR (Optical Character Recognition), by using Tesseract C++ library
$ npx skills add otiai10/gosseractAdvanced real-time screen translator for games, hardcoded subtitles in videos, static text and etc.
$ npx skills add ramjke/TranslumoScan, index, and archive all of your paper documents (acquired by Mayan EDMS)
$ npx skills add zhoubear/open-paperlessHow 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 Readur 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.