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Annotate any web page: highlight elements, attach notes, and copy structured Markdown. Qursor is a visual feedback tool that turns your on‑screen UI annotations into structured context that AI coding agents can understand and act on. Instead of describing "the blue button in the sidebar," you click the exact element, add a note, and Qursor generates rich, formatted output your AI agent can immediately use. No screenshots, no vague descriptions, no wasted tokens. With Qursor active, you can hover over UI elements to see their names, click to annotate them, then copy the generated markdown into tools like Claude Code, Cursor, or any AI assistant connected to your codebase. A single screenshot can cost 1,000–2,000+ tokens on its own, and a vague description often takes 3–4 follow-up exchanges before an agent even finds the right file. Qursor replaces both with a compact markdown block (exact selector, file path, and line number), so the agent acts in one shot, with no searching, no guessing, and no extra round-trips. The output includes: - CSS selectors so agents can grep your codebase directly - Source file paths and line numbers to jump straight to the right code - Computed styles so the agent understands current appearance - Your written feedback, including intent and priority Inspector feature Qursor also works as a lightweight design and code inspector for any live website: pick colors from any pixel, detect fonts, download assets in original quality, and copy real HTML, CSS, or JSX for any selected element or section. Try quick demo on https://qursor.xyz/
Jun 8, 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.