Browse the complete library of AI and AI-related tools and resources below. Use the search bar below to find a tool fast or go back to the main AI tools and resource hub for filtering options. Every item has its own dedicated page for context, notes, and the outbound link.
Have feedback on any of these AI tools and resources? Think something should be added or removed? Contact me to let me know!
olmOCR is an open-source optical character recognition (OCR) tool that enables high-throughput conversion of PDFs and other documents into plain text while maintaining the natural reading order, accommodating various content types like tables, equations, and handwriting.
SmolVLM2 is a new family of small vision models developed by Hugging Face that enables video understanding on various devices, emphasizing local processing capabilities.
This blog post introduces PaliGemma 2 mix, a vision-language model designed for multiple tasks, highlighting its capabilities and practical applications for users.
MGX is a pioneering AI software company that claims to operate entirely with AI employees, showcasing the potential of artificial intelligence in the workforce.
Beatoven.ai is an AI music generator that allows users to create and customize unique, royalty-free background music for various applications. It provides an intuitive platform for generating personalized music tracks.
Trupeer is an AI-powered platform that enables users to create polished product videos and documentation quickly from simple screen recordings. It streamlines the process of video production and documentation, making it easier for teams to communicate and showcase their products.
MCP.run is a platform that allows users to host, discover, publish, and manage Model Context Protocol servlets specifically designed for AI applications and agents. It focuses on providing portable and secure code for various AI models and apps.
Archgw is an AI-native proxy designed to streamline the development of agentic applications by facilitating query understanding, routing, and seamless integration with tools and LLMs. It aims to simplify the heavy lifting involved in building such applications.
This article discusses OmniParser V2, a framework developed by Microsoft Research that enables any large language model (LLM) to function as a computer use agent, enhancing its capabilities in performing tasks.