AI assistants, chat and model tools
AI image detection and photo analysis
Tools that analyze images to detect AI-generated or manipulated media, verify provenance, run real-vs-AI guessing games, or give AI feedback and scores on photos, selfies, and dating pics.
Built for: Fact-checkers, curious web users, photo-conscious consumers
Projects since May 04
202
Different builders
193
Last 4 weeks vs 8 before
-10%
AI is the core
55%
Projects per week
Mostly web app (41%), mobile app (29%), browser extension (9.4%) · from r/SideProject, r/IMadeThis, r/vibecoding, r/SaaS
Latest
- PuppySight — Simulates how dogs and cats may see scenes through a live camera, photos, and videos, with side-by-side comparisons against the original.“What might your dog see when they look at their toys? I built an iPhone app to explore it.”
- WhatMadeIt — Inspects photos, videos, audio, PDFs and Office files in the browser for AI-generation signals, camera metadata and C2PA content credentials.“I got tired of black-box AI detectors giving fake 99% scores, so I built an evidence-first inspector (files stay in browser)”
- Sightline — Lets users review object detections in images, correct them by voice, and export verified results as COCO datasets.“I built a zero-latency collaborative vision verification engine with voice patching — runs entirely in the browser using CRDTs & WebRTC”
- pixtidy — Checks passport and visa photos in the browser against official document rules and sizes the JPEG for submission.“pixtidy - a passport and visa photo checker that runs entirely in your browser (and what I learned checking 21 governments' rules)”
- Beat AI — Pairs a daily photo challenge entry with an AI-generated image and lets visitors vote on which one they prefer without seeing the creator labels.“I built a daily photography challenge around ordinary places — what would make you come back?”
- DateThisCat — Lets users swipe through cat photos and vote on them with a stated reason.“DateThisCat - An iPhone app for swiping through cat photos and voting”
- Cam-Wise — Trains custom camera detection models locally from examples collected off the user's own camera footage.“I’ve spent almost 9 months building Cam-Wise. The beta is now open and I’m looking for honest feedback”
- SpeciX — Identifies up to 10 marine species in an uploaded underwater photo and shows confidence, location in the frame, ID tips, and conservation status.“I built an app that names every species in an underwater photo”
- Copdar — Lets users review boxed vehicle images and label each as police or not police, Yes, No, or Maybe.“Copdar - A no-account vehicle-labeling tool looking for feedback”
- Scrubble — Lets users mark labeled regions on an image, attach a separate instruction to each, and send that annotated context to an AI.“I got tired of explaining to AI exactly which part of an image I meant, so I built this Chrome extension”
- PawCam — Plays a pet-attracting sound, shoots a silent 5-second burst, and ranks frames by pet gaze, sharpness and framing to keep the best 10 on the phone.“I made an iPhone camera that squeaks so your pet actually looks at the lens”
- Sera — Scores a photo of a person's skin by area and leaves areas blank when the image is too dark, blurry, or cropped.“I made an iPhone app that will not score skin it cannot see.”
- Vigil — Detects fire, smoke, and covered faces in video input.“Hello this is my project vigil”
- KinScan — Scans faces in photos to produce a kinship or resemblance result.“9 months building my app — finally got paying customers, but sales are inconsistent. What am I missing?”
- playaiornotgame — Lets players guess whether shown content was made by an AI or a human.“This my latest side project! What do you think?”
- Photography Assist — Analyzes uploaded photos' EXIF settings and detected scene objects to give feedback on camera settings and composition.“Photography Assist”
- Verity — Checks images and videos for provenance, prior sightings, fact-check matches and metadata anomalies, and reports the evidence with a verified, unverified or suspicious verdict.“Verity — right-click any image to check what's actually verifiable (open source, local-first)”
- SpineUp — Analyzes posture from photos and gives posture feedback and exercises.“Building the app was easier than getting users”
- facialrecognitionmap — Maps UK shops that use facial recognition so people can see where it is deployed before visiting.“I've made a map of which UK shops use facial recognition”
- PNG InspectoRoaster — Checks whether a PNG image sold online is genuine or just a fake with a fake checkerboard transparency background.“E se existisse uma extensão que descascasse sem dó as imagens que são vendidas na internet???”
Most discussed
- Recognizes a user's hand drawing by scanning it and links local data to it so later scans show that data.“i made an app that turns any drawing into a qr code”
- Slopcheck — Presents a daily set of photos one at a time and asks players to guess whether each is real or AI-generated, then shows the clues.“I made a daily game that teaches you to spot AI-generated photos”
- Oceanir — Analyzes images and video to estimate where media was captured, whether it supports a claim, and how uncertain the result is.“Builders, show me what you’re working on”
- SnakeOil — Identifies a product from a photo, checks its ingredients against its marketing claims, and gives it a score with suggested alternatives.“I built an app that checks whether a product can actually do what it claims”
- Detects whether images were generated by AI.“I'm stuck with the marketing faze, I need consulting.”
- KinScan — Scans faces in photos to produce a kinship or resemblance result.“9 months building my app — finally got paying customers, but sales are inconsistent. What am I missing?”
- Shamshot — Lets players guess daily whether images or videos are real photos or AI/edited fakes, and reveals the real backstory for genuine ones.“I built a free daily game where you get amazed by reality instead of AI slop. (Update: Video support and backstories)”
- OmoggleMog — Scores a webcam feed or uploaded photo on camera angle, lighting, expression, and background and suggests quick fixes.“OmoggleMog - A private camera warm-up tool for Omoggle”
- Gandivam — Evaluates photographed handwritten UPSC Mains answer copies with an AI pipeline that scores each question and lists what cost marks.“Built a working product for India's toughest exam in a few weeks. Now I'm stuck at the part no one vibecodes for you: getting users.”
- ownclimb — Detects climbing holds in images via an API.“Climbing Hold Detection API - ownclimb.com”