Recap is a productivity tool designed to help users bypass the context window limitations of ChatGPT by automatically splitting long texts into optimized segments for summarization. Aimed at researchers, students, and professionals who work with extensive documents, transcripts, or articles, the application automates the process of dividing large volumes of information into logical chunks. It then interfaces with ChatGPT to generate cohesive and structured summaries of each section, ultimately compiling them into a comprehensive overview. By streamlining this workflow, Recap saves users from the tedious manual task of copying and pasting smaller portions of text into AI prompts. It is highly beneficial for anyone looking to quickly digest long-form content, from academic papers to lengthy business reports, without losing key insights in the process.
Target audience: Best for: Academic Researchers, Business Analysts, Busy Professionals
Pricing: Open Source · Categories: Productivity, Research, Summarizer
Tags: ChatGPT, productivity, Productivity Tool, summarizer, Transcript Summarizer
Recap is an open-source browser extension and productivity tool that bypasses ChatGPT context limits. It automatically splits long documents, articles, and transcripts into smaller, logical sections. The tool feeds these segments into ChatGPT, applies Chain of Density summarization methods, and compiles the individual segment outputs into a structured, comprehensive synthesis without requiring manual copy-pasting.
Recap is designed for academic researchers, business analysts, students, and busy professionals who regularly work with extensive text. It is particularly useful for anyone reviewing long dissertations, reading comprehensive research portals, analyzing lengthy board meeting transcripts, or processing detailed terms of service agreements where standard language model context windows might truncate content or yield shallow summaries.
Recap is available as an open-source tool. Users can access and run the extension without paying a software subscription fee. However, because Recap supports custom OpenAI API host integrations and model selection overlays, users may need their own OpenAI API access or credentials depending on how they choose to connect the tool to model endpoints.
Recap includes smart text-splitting algorithms, an integrated browser extension popup interface, and web-based model selection overlays. It supports custom OpenAI API host configurations and applies Chain of Density summarizing methods to produce information-dense syntheses. Users can also highlight specific sections on active web pages to extract structured text directly from their browser.
To install and set up Recap, follow the instructions provided on the official website at https://recapext.xyz/ and review any accompanying repository setup guidelines. Because it functions as a browser extension, setup typically involves adding the extension to your browser and configuring your preferred model selection and OpenAI API host settings.