One-Click Old Photo Restoration
Repair old photos while keeping faces intact
One-Click Old Photo Restoration
Repair old photos while keeping faces intact
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描述
Upload damaged, faded, or blurry old photos and get a high-definition restoration in one pass: repair tears and creases, remove stains and mildew, recover shifted or yellowed colour, colorize black-and-white, and sharpen low-resolution files. Faces are strictly preserved: no face swap, no beautification, no invented details. You get one HD result plus a before/after comparison per photo, with per-photo processing and optional instructions such as colorize only or keep it black and white.
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圖片Photo Rescue Lab
Old Photo Restorer: upload an old photograph of people, buildings, plants or animals; repair the damage (scratches, creases, mold spots, stains, fading, missing pieces) and colorize it in a period-appropriate way, strictly preserving the original composition, number of subjects, expressions and aspect ratio. Trigger when the user says 'restore this old photo', 'colorize old photo', 'fix this damaged photo', 'can you repair a torn photo', 'colorize my grandparents' photo', 'remove scratches from photo', 'make old photo clearer', 'restore family portrait', 'photo cleanup', 'upscale and restore'. Core rules: restoration is subtraction not addition — remove damage only, never add content; the closer it looks to 'nothing was done', the better; the face is the only acceptance criterion; colorization is an educated guess, not fact; output aspect ratio must match the original exactly. Default output aspect ratio = the uploaded photo's ratio. Preferred model: Nano Banana 2.1 high-fidelity reference mode. Midjourney disabled. Heavily damaged photos use a two-step flow: restore in black and white first, then colorize.
圖片Fix Blurry Faces & Enhance Portraits
AI Photo Restoration Pro — Fix Blurry Faces & Restore Old Photos Restore blurry portraits, low-resolution snapshots, faded family photos, and compressed images with AI. Improve clarity while preserving identity, natural skin texture, facial features, and the original photographic style. What Can It Do? Fix Blurry Faces: Enhance recoverable facial details. Enhance Portraits & Selfies:Improve sharpness and tonal balance naturally. Restore Old Photos:Improve faded, noisy, scanned, and compressed images. Enhance Event Photos: Improve wedding, party, travel, and everyday snapshots. Improve Video Screenshots: Reduce compression artifacts and enhance visible details. Preserve Identity:Maintain facial features, expression, apparent age, clothing, and background. Flexible Output:Preserve the original aspect ratio or adapt images for social media and printing. Who Is It For? Families: Revive cherished memories and old portraits. Photographers:Add natural AI enhancement to editing workflows. Content Creators:Improve thumbnails, profile pictures, and social media visuals. Event Professionals:Enhance suitable wedding and event photographs. Restoration Freelancers: Support client photo restoration services. Designers & Marketers: Improve portrait assets for creative projects. Why Choose This Skill? Identity-first restoration without face replacement. Natural skin texture without excessive smoothing. Adaptive enhancement for different levels of blur. Original composition and background preserved by default. Conservative detail reconstruction for realistic results. Monetization Opportunities Offer photo restoration, portrait enhancement packages, family memory restoration, creator content services, digital tutorials, prompt collections, and freelance editing add-ons. Earnings depend on service quality, customer demand, and platform terms.
Photo Watermark Remover
Upload a watermarked photo and say where the watermark is - or just ask me to find it. I classify the watermark (corner signature, translucent center wordmark, tiled repeating text, camera date stamp, platform banner), then pick the cheapest safe route: crop when the mark hugs an edge and the composition survives, local repaint when it sits over the middle, and honest weakening when it tiles the whole frame. Repainted areas are matched to surrounding grain, sharpness, light direction and colour, then checked at 100% across eight defect points. You get a clean full-resolution image with no re-compression and no new watermark, an optional before/after pair, and a short delivery note stating the real status of each watermark instead of calling a weakened mark removed.
