Chatmind app

Chatmind app is a productivity tool that turns videos, PDFs, and webpages into structured AI mind maps. Chatmind app turns YouTube videos, PDFs, webpages, podcasts, and meeting recordings into interactive AI-generated mind maps, using GPT, Gemini, or other selectable LLMs, across web, mobile, and a Chrome extension.

Chatmind app converts long-form content—YouTube videos, PDFs and documents, webpages, podcasts, and meeting recordings—into structured, interactive mind maps. Instead of reading a document or watching a video start to finish, a user pastes a link or uploads a file and receives a visual breakdown of the source's key points, organized as a navigable node tree rather than a linear summary. The underlying processing runs on multiple large language models, including GPT and Gemini, and users can choose which model generates the output. The tool is aimed at students, researchers, and knowledge workers who need to process dense material quickly—lecture recordings, research papers, long-form video explainers, or meeting audio—without manually taking notes or rewatching content. The homepage cites more than five million users and usage at organizations including Airbus, Amazon, Booking, Microsoft, Samsung, and Hyundai, along with universities such as MIT, Oxford, and Cambridge, positioning the product as a comprehension and note-taking aid rather than a conversational chatbot. In practice, a user submits a source—an uploaded PDF, a pasted YouTube or webpage URL, or an audio recording—and the app returns a mind map with expandable branches representing the source's structure and main arguments. The output is designed to be explored visually, branch by branch, which suits people who prefer an overview before reading details rather than a flat bullet list. Distribution spans a web app, iOS and Android apps, and a Chrome extension, so the same workflow is reachable from a browser, a phone, or directly on a page being read. Within the broader field of AI summarizers, Chatmind's distinguishing choice is the mind-map output format instead of plain-text digests, combined with a multi-model backend that gives some control over how a summary is generated. It sits alongside text-first summarization and note-taking assistants, and is a better fit for visual thinkers or anyone who needs to retain a source's structure than for someone who just wants a short paragraph recap.