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Highlight uploaded names and keywords on web pages. Web Name Highlighter makes it easy to spot the names and keywords that matter most to you as you browse. Whether you’re scanning an article, reviewing a document, or searching online, it automatically highlights custom terms in your choice of colors so they stand out instantly. You can organize names and keywords into groups, give each group its own highlight and text colors, and even collapse or expand groups to keep things tidy. For names, the extension automatically generates smart variants—like J Smith, J. Smith, John Smith, Smith, J, and Smith, John—so you don’t have to think of every possible format. Hover over a highlight to see which group it belongs to at a glance. Import large name lists from CSV files, add or edit entries directly in the popup, and see your changes applied to the page immediately. Whether you’re a researcher, recruiter, journalist, or just keeping track of specific terms, Web Name Highlighter helps you work faster and stay focused by bringing the right words to the foreground. This is an open source project. All the code can be found on Github under MIT License. https://github.com/RTnhN/WebNameHighlighter Feel free to make an issue if you want features included or if you find a bug. https://github.com/RTnhN/WebNameHighlighter/issues Version History (For more details, go to https://github.com/RTnhN/WebNameHighlighter/releases): v2025.8.24.1 - Add disable button to stop highlighting without disabling extension v2025.8.23.1 - Add customizable wildcard support v2025.8.17.1 - Initial Release
Sep 2, 2025
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.