Introducing the ChatPDF extension, a cutting-edge web application that harnesses the power of AI to enable users to engage in interactive conversations and extract valuable insights from a wide array of document formats. With ChatPDF, you can seamlessly chat with and glean information from PDFs, TXT, CSV, MD, DOCX, PPT, EXCEL, JPG, JPEG, PNG, JSON, and web pages.

Our tool is crafted to provide a chat-like experience, facilitating communication with documents in various formats. It goes beyond conventional document interaction by allowing users to engage with documentation, web pages, Twitter, Slack, Github, Reddit, and Discord.

ChatPDF leverages the Azure OpenAI Service to create embedding vectors from documents, ensuring the retrieval of the most relevant documents to address user queries. We employ an array of AI models, including text-embedding-ada-002, GPT-3, and ChatGPT, to extract precise answers for user inquiries. Additionally, ChatPDF offers robust knowledge base management, encompassing knowledge base indexing, sandboxing, data extraction, and document summarization.

Our application operates on an instruction-based model, akin to text-davinci-003, and deploys chat-based mechanisms with text-embedding-ada-002, GPT-3, and gpt-35-turbo AI models to deliver exceptional Q&A and chat experiences. Notably, ChatPDF seamlessly integrates with users’ existing online knowledge bases, enabling them to converse with and extract information from PDFs, TXT, JPEG, JPG, and PNG files within their knowledge repository.

In our commitment to privacy, ChatPDF collects certain data types, including personally identifiable information, authentication details, and website cookies. For comprehensive information on data collection and usage, users can refer to our developer’s privacy policy.

Experience the future of document interaction with ChatPDF extension, where AI-driven conversations and information extraction converge to redefine your document workflow.