5 items
Capture research evidence from any page, tag it, and export it. Evidence Clipper turns what you read into a searchable base of user evidence. Highlight a sentence anywhere on the web and save it with one keystroke. The source URL and date are captured automatically, so a tagged, exportable evidence base builds itself while you read. No account. No server. No subscription. Everything stays in your browser. CAPTURE AND CODING ARE SEPARATE This is the single decision the tool is built around. When you are reading, you are in flow. A dialog that asks "which project? which tag?" at that moment costs you the thought you were having, and after three of those, you stop capturing altogether. So capture is one action with zero questions. Tagging, projects, and notes happen later, in the library, where an Untagged filter acts as your triage queue. This mirrors how qualitative coding actually works: gather first, code in a dedicated pass. - WHO IT HELPS: It is built for research-driven product and service design work. If you run user interviews, gather desk research, collect competitor claims, or keep a file of customer quotes, this replaces the scattered mix of screenshots, bookmarks, and half-finished notes, and it lets you show where a design decision came from. Useful for anyone in a research, design, or product role who needs evidence they can trace back to a source. - DETAILS: - One-keystroke capture from any page - Automatic source and timestamp - Tag later, in a dedicated pass; base tags plus your own - Library opens in a full browser tab - Interface in English and Farsi - Export to CSV, JSON, or Markdown
Aug 9, 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.