树洞 OCR 文字识别(一款跨平台的 OCR 小工具)
$ npx skills add AnyListen/tools-ocrAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
这是我自己做的一个类似滴滴打车的Android出行项目,主要针对滴滴等出行平台一直饱受质疑的“人车不符”问题,以及当前越发火热的或计划和出海战略,给出行项目增加了下面几个功能: 1. RFID识别验证功能:在司机证件或者车内识别硬件嵌入RFID识别芯片,乘客使用手机读取到芯片信息,并且通过网络发送到出行平台数据库进行验证(我用JNI加了一个C语言的MD5加密算法对识别到的信息进行了加密)。如果不是合规的“人”或“车”,则不能完成订单并向平台或监管单位汇报当前位置。(为了方便读者测试,可以使用手机读取任何一个加密或非加密RFID芯片,比如银行卡、公交卡等,我在代码中的验证前阶段把芯片信息都换成我自己的司机信息,确保读者测试时可以收到服务器的回复) 2. 海外版功能:点击切换当前语言。 3. 司机证件号码识别功能:读取司机证件上的证件号码,也可以用来与出行平台数据库的接单司机信息进行。I complete this whole project on my own . Including Android application programming,web server ( Apache + PHP + MySQL), and UI. 1.Map route planing。You can use mobile phone choose pick up & destination address,application provide address name hint and draw optimized route for user , then call car for you. 2.RFID authentication function:User can use application to scan driver license or other RFID hardware, then use NDK MD5 algorithm encrypt RFID number, and send it to Web Server Database, check with driver information and authenticate ID number , if ID number coherent with driver info , send back driver information to User and continue call car order . record user location and alert if ID not coherent. 3.Driver License Number Recognition : Application can recognize driver license digit number ,and also can send to web server for authentication & feed back result to user.
树洞 OCR 文字识别(一款跨平台的 OCR 小工具)
$ npx skills add AnyListen/tools-ocrGraphical Java application for managing BibTeX and BibLaTeX (.bib) databases
$ npx skills add JabRef/jabrefLightweight document management system packed with all the features you can expect from big expensive solutions
$ npx skills add sismics/docs🌝 MLKit是一个强大易用的工具包。通过ML Kit您可以很轻松的实现文字识别、条码识别、图像标记、人脸检测、对象检测等功能。
$ npx skills add jenly1314/MLKitProgramming in MS Paint
$ npx skills add MSPaintIDE/MSPaintIDETurn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
$ npx skills add PaddlePaddle/PaddleOCRShareX is a free and open-source application that enables users to capture or record any area of their screen with a single keystroke. It also supports uploading images, text, and various file types to a wide range of destinations.
$ npx skills add ShareX/ShareXTesseract Open Source OCR Engine (main repository)
$ npx skills add tesseract-ocr/tesseractPure Javascript OCR for more than 100 Languages 📖🎉🖥
$ npx skills add naptha/tesseract.jsOCR 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-OCRReady-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
$ npx skills add JaidedAI/EasyOCR🌈一个跨平台的划词翻译和OCR软件 | A cross-platform software for text translation and recognition.
$ npx skills add pot-app/pot-desktop二维码/条码识别、身份证识别、银行卡识别、车牌识别、图片文字识别、黄图识别、驾驶证(驾照)识别
$ npx skills add shouzhong/Scanner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一个简洁优雅的词典翻译 macOS App。开箱即用,支持离线 OCR 识别,支持有道词典,🍎 苹果系统词典,🍎 苹果系统翻译,OpenAI,Gemini,DeepL,Google,Bing,腾讯,百度,阿里,小牛,彩云和火山翻译。A concise and elegant Dictionary and Translator macOS App for looking up words and translating text.
$ npx skills add tisfeng/EasydictBISHENG is an open LLM devops platform for next generation Enterprise AI applications. Powerful and comprehensive features include: GenAI workflow, RAG, Agent, Unified model management, Evaluation, SFT, Dataset Management, Enterprise-level System Management, Observability and more.
$ npx skills add dataelement/bishengHow 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 DiDiCallCar 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.