Reverse Image Search

Free reverse image search — upload a photo and search it on Google Lens, TinEye, Yandex or Bing to find the image source, spot duplicates, or locate a higher-resolution copy. No account, no limits. Click an engine and it opens with your image already in it. On a phone you can also share it straight into a search app. New to this? Read the full guide.

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Multi-Engine Search

Open four major reverse image engines from a single page and hand your image to each. They use different algorithms and indexes, so results vary — checking all four gives you the best coverage.

Find Origins & Copies

Trace an image back to its original source, find modified versions, locate higher resolutions, or check if someone is using your photo without permission. Essential for journalists and photographers.

Deleted Within 1 Hour

Your original file stays in your browser. When you click an engine, only a search-size JPEG copy goes to our server, under a random link marked noindex, and it is deleted within 1 hour. Share to a search app sends the photo straight from your phone, not through us.

How it works

How reverse image search works

Reverse image search engines analyze the visual content of a photo — colors, shapes, textures, and spatial layout — and compare it against billions of indexed images. Unlike text search that matches keywords, reverse image search uses perceptual hashing and neural embeddings to find visually similar images even when they have been cropped, filtered, or resized. Different engines use different algorithms: Google Lens emphasizes object recognition and scene understanding, TinEye specializes in exact-match finding across time, Yandex is particularly strong at face and scene matching, and Bing Visual Search focuses on product identification. For comparing two specific images side by side, use the Similarity Scanner.

Reverse search in OSINT investigations

Reverse image search is one of the most powerful tools in OSINT (Open Source Intelligence). Journalists use it to verify if a photo is being misrepresented — a common tactic in misinformation campaigns where old or unrelated images are recirculated with false context. By finding the earliest indexed version of a photo, you can establish its true origin and original caption. Combine reverse search with EXIF metadata analysis to check timestamps and camera data, and the GPS Map to verify claimed locations against embedded coordinates.

Finding unauthorized use of your photos

Photographers and content creators use reverse image search to find where their images appear online — and whether they are being used without permission. TinEye is especially useful here because it tracks the earliest appearance date, helping you prove original ownership. Search across all four engines for the best coverage, since each indexes different parts of the web. To build a stronger copyright case, check if the image still contains your original EXIF metadata, run a file hash comparison against your original, or use the Duplicate Scanner to confirm visual similarity.

Verifying AI-generated and fake images

Reverse image search can help flag AI-generated images. If a photo looks real but returns zero results across all four engines, it may have been created synthetically — real photos of real events almost always appear somewhere online. Combine this check with the AI Image Detector for pattern-based analysis, and the ELA Scanner to look for compression inconsistencies that indicate manipulation. For a comprehensive authenticity assessment, use the Authenticity Checker.

For best results, search the highest-resolution version of an image you have — cropping or compressing reduces match quality. If the image has been heavily filtered or edited, try searching a clean crop of the most distinctive region. The search copy is made in your browser; to hand it to an engine it waits on our server under a random link and is deleted within 1 hour. For a full forensic workflow that combines metadata, pixel-level analysis, and visual comparison, explore the complete toolkit or start with the EXIF Compare tool to check metadata differences between two versions of the same image. Read our reverse image search guide and catching fake photos with reverse search for tips and real-world examples.

Frequently Asked Questions

What is a reverse image search?

A reverse image search starts from a picture instead of words. You give an engine an image, and it tells you where that image appears online, who published it, whether larger or older copies exist, and what looks visually similar. People use it to trace the source of a photo, check whether a profile picture was stolen, find the original of a meme or screenshot, spot a product from a photo, or see if their own work is being reused without permission. It is also called a backwards image search, an image source lookup, or searching by photo.

Is reverse image search free here?

Yes. This page is free, needs no account, and has no search limit. It builds the search for you and hands your image to Google Lens, TinEye, Yandex or Bing, each of which is also free to use. Nothing here is metered or gated.

How do I reverse image search on a phone?

Upload the photo here, then tap Share to a search app and pick Google Lens or any app that accepts images — the phone hands the file straight across, so there is no upload box to fight with. If your browser does not offer sharing, use Download Image and then the engine's own upload button. Most people who use this page are on a phone, and the share route is the one that reliably works there.

Can I reverse search a GIF?

Yes, with one caveat. Copy and Download hand over the first frame of the GIF, because that is the still image the engines actually match against. If you want the animation itself to go across, use Share on a phone, or upload the original file with the engine's own button. Yandex and Google Lens handle GIF frames best; TinEye matches the still.

How does reverse image search work?

Reverse image search engines analyze the visual features of your photo — colors, shapes, textures, and spatial patterns — and compare them against billions of indexed images. They use perceptual hashing and neural network embeddings to find visually similar images even when they have been cropped, resized, filtered, or re-compressed. Each engine uses different algorithms and indexes different parts of the web, which is why searching across multiple engines gives better results.

Which search engine should I use?

Use all four for the most comprehensive results. Google Lens has the widest index and best object/scene recognition. TinEye specializes in exact matches and tracks the earliest appearance date, making it ideal for copyright verification. Yandex is strongest for face matching and Eastern European content. Bing Visual Search excels at product identification and shopping-related searches.

Does Scanly upload my image?

Yes, briefly, when you click an engine. Your browser makes a search-size JPEG copy and sends it to our server, which keeps it under a random, unlisted link so the engine can fetch it. It is deleted within 1 hour, and the original file never leaves your browser. If you would rather nothing reach us, use Share on a phone, or Download Image and the engine's own upload button.

Why should I use multiple search engines instead of just Google?

Each engine indexes different websites and uses different matching algorithms. An image that returns zero results on Google may appear on TinEye or Yandex. TinEye is particularly useful for finding the oldest copy of an image online, while Yandex often surfaces results from social media platforms and regions that Google indexes less thoroughly. Using all four engines maximizes your chances of finding matches.

Can reverse image search detect AI-generated images?

Indirectly, yes. If a realistic-looking photo returns zero results across all search engines, it may have been generated synthetically — real photos of real events almost always appear somewhere online. However, this is not definitive proof. For dedicated AI detection, use a tool that analyzes pixel-level patterns, such as an AI image detector or error level analysis scanner.

What image formats are supported?

You can upload JPG, PNG, WebP, GIF, BMP, AVIF and HEIC files. HEIC only opens in browsers that decode it natively (Safari on Apple devices) — elsewhere, convert it to JPG first and we say so. The tool renders your image to a JPEG copy for compatibility with all search engines. The original file never leaves your browser – only that JPEG copy goes to our server when you click an engine, and it is deleted within 1 hour.