Search Google Lens, Bing, TinEye, and Yandex with your image at once to find stolen or reposted photos.
A reverse image search feeds a picture to a search engine and returns everywhere that picture appears online. For photographers, artists, and content creators it is the standard first move in protecting your work: find where your images were reposted, stolen, or used without credit. A regular keyword search can't do this — copies of your work usually carry no trace of your name, but they do carry the pixels themselves.
| Engine | Best at | Coverage |
|---|---|---|
| Google Lens | Broad web + shopping matches | Widest general index |
| Bing Visual Search | Products, near-duplicates | Strong on commerce imagery |
| TinEye | Exact copies and oldest-first sorting | Specialized image index |
| Yandex | Lookalike and edited variants | Often strongest on faces/variants |
No single engine sees everything, which is why the tool opens all four — the union of results is what gives you a real picture of where your work ended up.
Paste the public URL of your image (anywhere it is hosted — your site, a cloud share with public access) and the tool builds the correct search URL for each engine, opening each in its own tab. Nothing is uploaded to us; your browser talks directly to the engines. For images that only exist on your device, use each engine's own upload option once you arrive.
Searching tells you where the copies are; enforcement is the next step — evidence capture, takedown notices, and repeat monitoring, because stolen content tends to resurface. Doing this by hand every month is exactly the grind this page's companion calculator quantifies. authAspect automates the whole loop for creators: monitoring for unauthorized use of your images and preparing enforcement actions so you are not chasing URLs one at a time. Learn more at authaspect.com.
Enforcement goes faster when you can prove the work is yours. Keep original files with intact creation timestamps, publish with visible attribution, and note first-publication dates. When a platform asks for evidence, a dated original settles the question quickly — and makes casual infringers fold rather than argue.
One practical archiving pattern: at publication time, save the original file plus a small text note — filename, date, where it was published, and the URL if public — in a per-month folder on storage you control. This takes seconds per image and years later is the difference between a takedown that sails through and an argument. Provenance is boring right up until the day it is the only thing that settles a dispute.
Results come in three flavors. Exact matches — same pixels, maybe resized — are the clear-cut infringements; note the page date, screenshot everything, and the takedown writes itself. Near-duplicates — cropped, filtered, or partially overlaid versions — usually still qualify but may need a short explanation of the transformation. Lookalikes — similar poses or scenes with different pixels — are generally not actionable, and chasing them wastes the energy the exact matches deserve. Sorting results into these buckets before acting keeps enforcement proportionate.
Remember also that search indexes lag reality — a photo posted yesterday may not be findable for days or weeks, and deleted pages sometimes linger in results. That is the inherent limit of manual searching and the honest case for automated monitoring: software re-checks continuously, at a cadence no human routine matches, which is precisely the gap services like authAspect fill for working creators.
While the tabs are open, capture the evidence: full-page screenshot including the URL bar, the direct image link, the date you found it, and a side-by-side with your original including its first-publication date. Five minutes per match while it is in front of you saves an hour of re-searching later, because infringing pages disappear without notice once a takedown lands. A simple dated folder per incident is enough structure; the DMCA cost calculator page covers what happens next.
Theft compounds: an unchallenged repost gets scraped by other sites, and each scraper's copy spawns more. A monthly reverse-search pass over your most valuable images catches copies while the tree is small. High-value creators — those whose images drive sales — often move to automated monitoring because the manual pass grows with their catalog. Either way, the cadence matters more than the tool: a search you actually run monthly beats a perfect system you run once.
Prioritize what you search by value, not by volume. The images worth monitoring monthly are the ones doing commercial work — portfolio hero shots, product photos, listing images — not every casual upload. A creator with two hundred published images usually has fewer than twenty that drive real traffic or sales. Focusing the routine on those twenty keeps the monthly pass under an hour while covering the copies that actually cost money.
Prevention lowers the enforcement bill. Publish at resolutions sufficient for display but not for print reuse, keep your highest-value originals off open galleries, watermark preview copies where aesthetics allow, and register copyright where the economics justify it — the last one multiplies your leverage in the rare case that goes legal. Combined with monitoring, these habits shrink the problem to the size your monthly routine can absorb, which is the whole game.