5 items
Highlight, annotate and collect text on any webpage. Auto-label English vocabulary with contextual definitions. AnnHub is a powerful, privacy-first browser extension designed to enhance your reading and learning experience across the web. Whether you are conducting research, reading articles, or learning English, AnnHub provides a seamless toolkit right at your fingertips. ✨ Core Features: Web Page Highlighting & Annotation Highlight any text on any webpage with a simple selection. Add custom notes to your highlights. Your highlights are saved locally and will automatically restore when you revisit the page. Quick Content Capture (Mode B) Enter "machine-gun" mode to quickly capture multiple text snippets and their surrounding context without breaking your reading flow. Smart Vocabulary Labeling Automatically detects English articles and annotates unfamiliar words based on your CEFR level or custom word lists. Integrates with Eudic (欧路词典) to sync your personal vocabulary books and mastery levels. Integrates with LLMs (OpenAI-compatible) to provide highly accurate, context-aware translations for vocabulary words right where they appear. Data Ownership & Integrations Local-first: All your highlights and notes are stored locally in your browser. Logseq Integration: Optionally sync your highlights and captured snippets directly to your local Logseq knowledge base. 🔒 Privacy First: AnnHub does NOT track your browsing history or sell your data. External APIs (Eudic, LLM, Logseq) are completely optional and must be explicitly configured by you in the settings.
May 23, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.