Quickie AI is a powerful Chrome extension that provides contextual AI applets to help users generate and research content more efficiently. With features such as summarization, text-to-speech, and customized prompts, Quickie AI aims to streamline your workflow and enhance productivity. Whether you need quick access to AI capabilities or powerful multitasking tools, Quickie AI has got you covered.

YouTube Transcript to AI is a Chrome extension designed to enhance your YouTube experience by integrating with AI models like ChatGPT or Claude. With a single click, you can extract and send video transcripts to these AI models, creating a powerful tool for learning, content creation, and productivity. The extension allows users to customize AI conversation prompts, save time by skipping manual transcription, and unlock deeper insights from video content, making it a perfect tool for students, researchers, content creators, and curious minds.

CodeOpt is a Chrome extension for JupyterLab and Jupyter Notebook that seamlessly integrates ChatGPT directly into your coding environment. This tool allows users to quickly send code and outputs to ChatGPT with a single toolbar button click, providing AI-powered assistance for debugging, refactoring, and code optimization. Users can customize AI prompts for both code and error messages. With an automatic integration feature, the ChatGPT button appears in new JupyterLab cells. The extension is privacy-focused, ensuring that only user-chosen code and outputs are sent.

DocGPT is designed to simplify information extraction and Q&A from documents by providing a seamless conversational interface. Users can upload documents in PDF, Word, or PowerPoint formats, which are then processed using text parsers. The content is chunked and embedded with OpenAI's embedding models, stored in a vector database like FAISS or Pinecone. When a user submits a query, DocGPT retrieves the most relevant text chunks via similarity search and leverages ChatGPT to generate accurate, context-aware responses. It features interactive chat, document summarization, customizable prompts for domain-specific needs, and is built on Python with a Streamlit UI for easy deployment and extensibility.