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.