What is Repairit - AI Photo Enhancer?
Repairit enhances image clarity, fixes scratches, stains, and fading, removes unwanted people or objects, colorizes black-and-white photos, and restores corrupted or unreadable files—including RAW formats—all with just a few taps.
Problem
Users face challenges restoring old, blurry, or damaged photos manually using traditional editing software. Time-consuming processes, technical complexity, and inability to automatically fix scratches, stains, fading, or corrupted files limit accessibility for non-experts.
Solution
An AI-powered photo enhancement tool where users upload images to automatically improve clarity, remove defects, restore colors, delete unwanted objects, and repair corrupted files—including RAW formats—with minimal effort. Example: Colorizing a black-and-white family photo in seconds.
Customers
Genealogy enthusiasts, professional photographers, archivists, and individuals preserving family memories with old photos. Demographics include adults aged 30-65, tech-savvy enough to use mobile/web apps but lacking advanced photo editing skills.
Unique Features
All-in-one restoration combining clarity enhancement, defect removal, object deletion, colorization, and RAW file repair. Unlike competitors, it handles RAW formats and batch processes seamlessly in one interface.
User Comments
Effortlessly revived decades-old photos
Shocked by how it removed photobombers without trace
RAW support saved my professional workflow
Intuitive even for my grandparents
Colorization looks natural, not artificial
Traction
Featured on Product Hunt with 780+ upvotes, integrated into 10+ photography apps via API partnerships. Parent company Wondershare reports 500k+ active users across its product suite; Repairit-specific revenue estimated at $50k MRR.
Market Size
The global photo editing software market reached $1.33 billion in 2023 (Grand View Research), with AI-powered tools growing at 21.7% CAGR. 65% of smartphone users edit photos monthly (Pew Research), indicating massive consumer demand.
