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Category
Summary
AI summary tools for meetings, long PDFs, reading highlights, email threads and recorded calls, chosen by what you need to do with the summary once you have it.
A summary is only useful for what happens next, and the tools here split along that line. Some condense material so you can decide whether to read the original. Some turn a conversation into decisions and tasks someone has to act on. Others keep a transcript behind every summary, which matters when you need to check what was actually said.
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Three jobs, three different tests
- To act on it.Granola turns meeting discussion into summaries and tasks, and Shortwave summarises email threads. Check whether every action item names an owner.
- To study or research.Glasp builds on your own reading highlights, Kimi summarises long PDFs with citations, and Genspark compiles web findings into pages with tables and sources. The test is whether you can jump from each point back to the source passage.
- To keep a record.Tactiq transcribes and summarises meetings on Zoom, Google Meet and Teams, and Read AI adds sentiment analysis to its recordings. Tell participants a call is being recorded, and check where the transcript is stored.
Where summaries go wrong
Summaries drop qualifiers. A cautious "in some cases" becomes a flat claim, and a disagreement disappears. For anything you will quote or decide on, read the original section the summary points to.
For inbox-specific tools, see Email; for a wider writing toolkit, AI tools for writers.
