Recall | Summarize Anything, Forget Nothing 作成者: Recall、 Sanks

Go beyond your brain’s limits, tap into the wisdom of everything you’ve read, watched or heard. Add or import thousands of articles, videos, podcasts, past notes and more. Chat with all the content you've stored and revisit your best ideas. Think, learn, and discover what’s possible when your mind is boundless.

With Recall, you can save, summarize, and chat with the following content types:
▶ YouTube videos (including Shorts)
▶ Podcasts (Spotify & Apple Podcasts)
▶ Websites, Articles & Blogs
▶ PDFs
▶ Vimeo Videos
▶ TikTok Videos
▶ Google Docs & Slides
▶ Recipes
▶ Movie and TV series lists

Key Features of Recall:
▶ Save any content to read later: Never lose valuable information - capture it instantly for future use.
▶ Easily summarise content: Understand key points in seconds without reading the whole thing.
▶ Chat with your entire knowledge base: Get instant answers and insights from everything you’ve saved over your lifetime.
▶ Customize and link content together: Create meaningful connections to see the bigger picture.
▶ Automatic organization: Spend zero time sorting - everything is neatly arranged for you.
▶ Automatic knowledge graph: Visualize relationships between ideas to deepen understanding.
▶ Active recall & spaced repetition: Retain what matters and remember it long-term.
▶ Augmented browsing: See relevant saved content in real time as you explore the web.

Get Started:
▶ Step 1: Use our browser extension to instantly summarise, chat with, and save any content you find online.
▶ Step 2: All your saved content is automatically organised and connected inside your personal knowledge base.
▶ Step 3: Chat with your entire knowledge base to re-discover forgotten gems, uncover new connections, and gain fresh insights.
▶ Step 4: Recall schedules strategic reviews and generates quiz-style questions from your content, helping you remember more for longer.
▶ Step 5: As you browse the web, Recall resurfaces relevant saved content in real time—turning passive scrolling into active discovery.