#Optical Character Recognition

The framework enables multimodal AI models to autonomously control computers, employing human-like interactions. It integrates with platforms such as GPT-4o, Gemini Pro Vision, Claude 3, and LLaVa. HyperwriteAI is developing the Agent-1-Vision model to improve click accuracy. Explore modes including voice, OCR, and set-of-mark prompting. Compatible with Mac OS, Windows, and Linux, it offers broad API integration. Engage with our community for support and updates.

Explore Zerox, a user-friendly tool for seamless OCR document conversion optimized for AI integration. Convert a wide range of file types into markdown using advanced vision models, compatible with Node and Python environments. Zerox supports systems like OpenAI and Azure, enabling efficient processing of documents with complex layouts while maintaining format fidelity and effectively managing tables, aimed at improving AI input and overall system efficiency.

Explore cutting-edge Optical Character Recognition powered by TensorFlow and PyTorch. The platform efficiently parses textual data across multiple document types through a simplified two-stage OCR process focusing on text detection and recognition. It offers pretrained models, thorough documentation, and a demonstration app for effective use. The KIE predictor provides enhanced detection capabilities, while installation is straightforward via PyPI for both supported frameworks. Suitable for developers requiring fast deployment options like Docker or FastAPI.