ddddocr CAPTCHA Recognition
Recognizes various CAPTCHA types including text OCR, object detection, and slider matching using the ddddocr library.
About
This server provides a robust solution for automated CAPTCHA recognition, leveraging the powerful ddddocr library. It offers comprehensive capabilities for deciphering common CAPTCHA challenges, including accurately recognizing text from images, detecting specific objects within CAPTCHA puzzles, and precisely matching slider positions. Built for high performance with ONNX runtime and fully compatible with the Model Context Protocol (MCP), it integrates seamlessly into AI toolchains for reliable and fast CAPTCHA solving.
Key Features
- Text OCR Recognition
- 1 GitHub stars
- High Performance (ONNX runtime)
- Model Context Protocol (MCP) Compatible
- Object Detection
- Slider Matching
Use Cases
- Automating interactions with web services protected by CAPTCHAs
- Integrating CAPTCHA solving into automation scripts
- Providing a CAPTCHA recognition service for applications
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