Recap
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, …
About Recap
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, …
Use Cases
Real-world scenarios where Recap saves time.
Use Case 1: Chapter-by-Chapter Thesis Reading\nProblem: Uploading a complete 80-page dissertation into ChatGPT often triggers context limits or results in shallow summaries.\nSolution: Recap automatically divides long documents into logical chapters, requesting sequential summaries from ChatGPT.\nExample: A graduate student gets an organized, highly dense synthesis of a long research paper without manual copy-pasting.\n\n
Use Case 2: Long Transcript Condensing\nProblem: Transcripts from 2-hour board meetings contain too much conversational fluff to review quickly.\nSolution: Segment-splits the transcription text and applies Chain of Density summarizing models directly via the browser.\nExample: An operations coordinator runs the extension over a long call transcript to extract high-density action items.\n\n
Use Case 3: Structured Web Research Synthesis\nProblem: Collecting insights from long, scrolling research portals requires manually organizing different web sections.\nSolution: A browser extension interface allows users to highlight specific areas of any web page and generate structured outputs.\nExample: A market analyst highlights section blocks on a competitor's terms of service, outputting structured pricing rules.
Key Features
What you get out of the box.
- Smart long-text split algorithms\n- Integrated browser extension popup controls\n- Chain of Density high-density summaries\n- Custom OpenAI API host integrations\n- Web-based model selection overlays
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