What is TinEye?
TinEye is a reverse image search engine that lets you find where any image appears across the web. Sometimes you have a picture and need to know where it came from, who owns it, or how widely it’s been shared. It can also be used for face search, which comes in handy for identifying people in photos or checking if a profile picture is genuine.
TinEye crawls the public web continuously and indexes what it finds. Its index currently covers over 85.3 billion images. Anyone who needs to track image usage, verify ownership, spot manipulated photos, or identify unknown images can run a reverse image search in seconds.
Features & Benefits
- Web Image Search: search over 85.3 billion indexed images to find where any image appears online; use cases include tracking image usage, verifying profile photos, and running a face search to identify people in photos
- Multiple Input Methods: submit a reverse image search by URL, file upload, drag and drop, or clipboard paste
- Browser Extension: right-click any image in Firefox, Chrome, Edge, or Opera to search for it without leaving the page
- Result Sorting: sort reverse image search results by best match, most changed, biggest image, newest, or oldest occurrence
- Stock Photo Filter: filter results to identify whether an image is a stock photo and surface copyright or licensing details
- Image Modification Comparison: switch between your search image and any match to spot cropping, resizing, skewing, or other alterations
- Unavailable Result Inclusion: surface archival matches for pages that are no longer live
- Privacy Protection: search images are never saved or indexed by TinEye
- TinEye API: run large-scale reverse image searches programmatically for profile verification, fraud detection, and image compliance workflows
- TinEye Alerts: monitor the web continuously to track where specific images or logos appear over time
- MatchEngine: find duplicate and modified copies of images within a private collection for content moderation or fraud detection
- MulticolorEngine: identify and search images by color
- MobileEngine: add image recognition to apps for identifying collectibles, art, comic books, or other 2D objects
- CardSearchEngine: match trading cards and sports cards by photo in real-world conditions
- WineEngine: scan wine, beer, whisky, and spirit labels using computer vision
What can TinEye do?
- Find where an image appears online
- Identify the original source of a photo
- Detect edited or manipulated images
- Verify stock photo licensing and copyright
- Track logo or brand image usage across the web
- Compare two versions of the same image
- Find the earliest known appearance of an image
- Locate the highest-resolution version of an image
- Identify collectibles or 2D objects by photo
- Search images by color
- Scan beverage labels for product identification
- Match trading cards from a photo
Real-World Applications
Photographers and image rights holders can use TinEye to find unauthorized uses of their work. Running a reverse image search on a photo surfaces every page where that image appears, making it straightforward to spot unlicensed reposts or track down whoever cropped out a watermark. The modification comparison tool shows exactly how an image was altered.
Journalists and fact-checkers may find TinEye useful when verifying whether a photo is authentic. Sorting by oldest result can reveal the true origin of an image being passed off as something else. If a news photo turns out to be years old or from an unrelated event, TinEye’s index will likely surface that history.
E-commerce teams and brand managers can monitor where company images and product photos are appearing online. TinEye Alerts automates this tracking, sending notifications when new matches appear so teams don’t have to run manual reverse image searches on a schedule.
For personal use, TinEye covers a lot of ground. Got a suspicious profile pic? A face lookup can tell you if that photo was pulled from somewhere else online. It’s also handy for tracing meme origins, finding a cleaner version of a saved image, or figuring out who made an artwork you stumbled across.
