TabCrunch is an AI-enabled tab manager designed for heavy-duty researchers. It uses large language models to analyse tab content and organises the tabs in the user's browser into groups based on their content.
Additionally, it provides a synopsis of the main points from all tabs in a group, enabling users to digest large amounts of information swiftly and efficiently.
The tool also offers an overview of each tab group, displaying information such as reading time, content overlap, and a breakdown by website and language.
It also has a feature for extracting key factual data from articles, presenting them in bullet point format. Furthermore, it identifies and lists tabs with similar content under the 'Similar tabs' section.
TabCrunch includes collaborative functionalities, allowing users to share entire groups of tabs for collaborative efforts. An additional feature of this tool is that it can remember closed tabs, facilitating easy reopening if enabled.
With search options to locate specific tabs via keyword in either the URL, title, or body of the article, users can quickly find what they're looking for.
Lastly, TabCrunch supports import and export of tabs across devices, so users can import tab lists in formats like CSV, TXT, or HTML, or export tabs from selected groups as CSV or JSON files.
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Pros & Cons
Content-based tab grouping
Synopsis of tab groups
Overview of tab groups
Reading time display
Content overlap identification
Website breakdown feature
Language breakdown feature
Key facts extraction
Similar tabs identification
Collaborative functionalities
Tab sharing feature
Closed tabs memory
Keyword search in URL
Keyword search in title
Keyword search in article body
Supports tab import/export
Supports multiple file formats (CSV, TXT, HTML, JSON)
Summary of each group
Tab movement across groups
Comprehensive tab summary
Bullet point key information
Recently closed tab finder
Tabs can be paste from mobile
Works across devices
No mobile version
Limited import/export formats
No multi-language support
Depends on large language models
No manual summarization option
Limited collaboration functionalities
No offline mode
Doesn't specify supported browsers
No user customization for grouping
Can't disable tab memory feature
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