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The world's leading open-standard collaborative annotation layer for the web and digital documents.

Hypothesis is a mission-driven, open-source platform that enables a conversation layer over the entire web. Built on the W3C Web Annotation standard, it allows users to highlight and comment on any webpage, PDF, or EPUB without modifying the underlying source code. In the 2026 landscape, Hypothesis has solidified its position as the critical infrastructure for 'Human-in-the-Loop' AI training and verifiable digital provenance. Its technical architecture utilizes a decentralized approach, allowing for public, private, and institutional groups to collaborate securely. The platform integrates deeply with Learning Management Systems (LMS) via LTI standards, making it the industry standard for collaborative reading in higher education. By treating annotations as first-class digital citizens, Hypothesis provides a structured data stream (via its REST API) that researchers and developers use to map discourse, verify claims, and build collective intelligence databases. It functions as a browser-neutral extension or a script-injected overlay, ensuring high availability across all modern web environments while maintaining strict adherence to user privacy and data portability standards.
Hypothesis is a mission-driven, open-source platform that enables a conversation layer over the entire web.
Explore all tools that specialize in peer review. This domain focus ensures Hypothesis delivers optimized results for this specific requirement.
Supports LTI 1.3 standards for seamless, secure integration with major LMS platforms without requiring student account creation.
Utilizes a modified PDF.js viewer to ensure annotations are mapped correctly even if the file name changes, using document fingerprints.
Advanced algorithms that re-attach annotations to text even if the underlying HTML structure or content slightly shifts.
Full support for Markdown formatting and LaTeX mathematical notation within the annotation body.
Comprehensive REST API allowing for full CRUD operations and filtered search of the global annotation database.
Generates unique URLs that automatically scroll the recipient to the exact highlighted section of a document.
The entire back-end (h) and front-end (client) are open-source, allowing for custom self-hosted instances.
Create an account on the official hypothes.is portal.
Install the browser extension (Chrome, Edge, or Firefox).
Authenticate the extension with your account credentials.
Navigate to any live URL or open a local PDF in a compatible browser.
Toggle the Hypothesis sidebar using the extension icon.
Create or join a private/public group for collaborative work.
Highlight text to trigger the 'Annotate' or 'Highlight' pop-up menu.
Add tags and Markdown-formatted text to your annotation.
Post the annotation to the selected group visibility level.
Export or sync data via API for external knowledge management.
All Set
Ready to go
Verified feedback from other users.
"Users praise the tool for its openness and academic utility, though some find the extension-based UI slightly dated."
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