Full-Document Multi-Tab Reading Without Copy-Paste
Bring active web pages, complex data tables, PDFs, and tab groups directly into AI conversations with full citation grounding.
In traditional workflows, comparing information across a dozen web pages requires constant copy-pasting, tab switching, and mental friction. Tabbit transforms your open tabs into an unified working memory. By typing @ in the prompt bar, you can instantly reference any open page, tab group, or uploaded document as first-class context.
Instead of relying on fragile text scraping, Tabbit inspects the full DOM hierarchy, structured tables, code blocks, and embedded figures. The underlying LLM reads the complete semantic context of your session, delivering precise answers, comparative summaries, and line-by-line citations that jump directly back to the source text.
Key Workflows
- @-mention active tabs, tab groups, or local files seamlessly in any prompt
- Preserves document hierarchy, data tables, and code formatting with clickable source anchors
- Cross-analyze 10+ divergent articles or competing product specs in a single unified conversation



