TabCrunch

TabCrunch uses large language models to analyze the content of every open tab, then automatically organizes them into topic-based groups with synthesized summaries and key bullet points for each cluster. Researchers benefit from features like similar-tab detection, content-overlap analysis, reading time estimates, and the ability to share entire tab groups with collaborators. The extension supports importing and exporting tabs as CSV, JSON, or HTML, and offers 10 free analyses to process thousands of tabs before requiring credit top-ups. Let's face it, you're here because your browser tabs are a mess. All key information from your tabs crunched into bite-sized summaries, so you can get through your tabs with lightning speed. We synthesise the main points of all tabs and provide a short summary of each group of tabs. Notable functionality spans llm-powered tab content analysis, automatic topic-based grouping, and synthesized group summaries. Additional tools cover similar tab detection, shareable tab groups for collaboration, import/export as csv, json, and html. Key focus areas include tab manager, research, browser extension, ai summarization, making it relevant across multiple research scenarios.