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Clear gig summaries and spot the right seller in seconds. Scan Fiverr Faster Tired of decoding Fiverr titles like "I will professionally expertly amazingly create your stunning beautiful premium logo design"? This extension cuts the noise. It scans gig listings and replaces bloated titles with a **short title** (2–4 words) and a **subtitle**—so you see what the seller actually does and what makes them different, without reading walls of text. What it does: - Replaces long, keyword-stuffed titles with short, scannable ones - Adds one subtitle per gig (niche, scope, or style in a single line) - Helps you spot the right gig faster Examples: "I will write 30 SEO articles and blog posts monthly with images" → **Monthly SEO Articles** · Bulk, illustrated, recurring "I will create vintage hand drawn logo for brewery or beer brand" → **Brewery Hand-Drawn Logo** · Vintage, craft, illustrated "I will do wordpress website with unlimited revisions" → **Unlimited-Revisions WordPress** · No-limit, flexible How it works: Turn the extension on. Browse Fiverr search or category pages. Gig cards are simplified with short title + subtitle. Turn it off anytime to see the original titles. Privacy: - No account required - No data collection or tracking - Gig titles are processed to generate summaries; nothing is stored Note: This extension uses AI to generate short titles and subtitles. Results are usually accurate but may occasionally miss nuance. Original titles are one toggle away. --- Built for freelancer-hirers who value their time.
Mar 18, 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.