Glasp

Glasp is based on one assumption that almost all reading tools ignore—reading in public holds you more accountable and allows you to interact with fellow like-minded readers. You simply highlight parts of web content and PDFs in an article and add some notes on your highlights, and your highlights are neatly gathered in your shareable profile for other users to view and follow. In other words, it's less a private note-taking tool and more of a social reading layer over the web. Summarization goes hand in hand with your highlighting feature—you can read a summary of an article or video from YouTube before deciding if you want to highlight and dive into the content more. Different AI models (including Claude, Gemini, Mistral, and ChatGPT) are available for summarization so you're able to select the model that best fits the content. Hatch AI, the platform's signature feature, trains your personalized AI clone on your highlights and notes to make new suggestions, continue paragraphs, and resurface ideas that you've collectively compiled through your reading journey. With export integration with Notion, Obsidian, and Roam Research, Glasp syncs seamlessly with your existing notes stack. Plus, there's a student discount on all Pro plans! One thing to consider, however, is that the public-by-default approach is not going to be for everyone, as highlights are by default shared with others, unless you're on the paid plan and explicitly change this. Updates on pricing were made in May 2026. Bottom line—for students and professionals and the perpetually curious reading community, Glasp is truly one of the most unique tools out there.

• Category: Summarizers
• Pricing: Freemium
• Rating: 4.4 / 5 (0 reviews)
• Platforms: Web, iOS, Android

Key features

• Social web highlighting — Highlight articles and PDFs with your notes visible on a shareable profile for community learning and discovery
• Multi-model AI summaries — Summarize YouTube videos and articles using ChatGPT Claude Gemini or Mistral with model selection per summary
• Timestamped YouTube notes — Highlight specific moments in YouTube video transcripts with timestamps and export to note-taking apps
• Hatch AI clone — Build a personal AI assistant trained on your highlights and notes that generates insights and continues your thinking
• Export integrations — Send highlights and notes to Notion Obsidian Roam Research and other knowledge management tools
• Private highlights — Paid plan option for keeping highlights private for users who need confidential annotation workflows
• Kindle and Pocket import — Bring in existing reading and annotation history from other platforms into your Glasp library
• Daily reminders — Spaced repetition-style prompts to review past highlights for improved long-term retention

Pros & Cons

Pros

• Social learning profile creates genuine accountability and serendipitous discovery through other readers following similar intellectual interests
• Multi-model AI summarization with Claude Gemini and Mistral alongside ChatGPT is more flexible than tools locked to a single AI provider
• Hatch AI clone trained on your own highlights is a uniquely personal feature that differentiates it from generic summarization tools
• Export to Notion Obsidian and Roam Research means highlights flow into existing note-taking systems without manual copying
• Student discount on Pro plan makes it accessible for the academic audience that benefits most from structured reading and highlighting habits

Cons

• Public-by-default highlight visibility is the most consistent concern from privacy-conscious users who want annotation without public exposure
• Private highlights require a paid plan which means new users cannot evaluate the private annotation workflow before paying
• Less useful as a standalone summarizer compared to tools focused purely on text compression since the social reading layer requires sustained engagement to deliver its value
• Hatch AI clone quality depends heavily on the volume and quality of highlights accumulated which limits value for new users with small libraries

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