Drop a link, upload a document, or add a YouTube URL to Converse when you’re starting a reading session and want to move from skimming to understanding. It’s useful for turning a long article into a short brief before a meeting, condensing a dense PDF into notes you can review later, or capturing the main points of a video without rewatching sections. After saving an item, run a short recap to decide if it’s worth your time, then switch to a deeper output when you need supporting points and a clearer structure.
Once the summary is created, use the chat to work through the material like you would with a study partner. You can ask for definitions of terms, have a section explained in simpler language, request comparisons between parts of the same source, or pull out exact details for a report or discussion. This works well for students building study notes, analysts extracting facts from reports, and teams preparing quick context ahead of reviews.
As you collect more sources, sort them into collections to keep projects separate and make it easier to return to the right material later. When you need to align with others, share the source and your takeaways so teammates can get up to speed without reading everything end to end. The result is a repeatable workflow: capture content, generate the level of detail you need, question it for specifics, and file it where you can find it again.
Free
$0 /month
3 AI summaries, 1 PDF, 1 Web articles, 1 Youtube videos, 3 TLDRs, 3 Key takeaways, 20 AI chat messages, 3 Image generations
Plus
$9.99 /month (Monthly) or $7.99 /month (Annually)
Unlimited AI summaries, Unlimited TLDRs, Unlimited Key takeaways, Unlimited AI chat messages, 1000 Image generations per month, 24-hour support response time
Developers
$25 /month
API access. This can be used for commercial purposes. AI chat conversation over a collection of articles, Billing based on usage, 0.01 per AI answer, 0.05 per AI summary, 24-hour support response time
Business
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Converse tech stack hosted in your infrastructure. Data never exits your infrastructure, Documents and LLM models resides within your infrastructure, Integration with single sign-on, Dedicated support
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