What is Reverse Image Search with AI?

Why Use Reverse Image Search?

Using reverse image search instead of text-based search can be helpful when looking for pictures:

that are identical or similar to a given image,
that cannot be easily described in words,
of locations you don’t recognize,
of people you don’t know.

It’s often faster to find relevant images through reverse image search than by scrolling through pages of Google search results.

How Does It Work?

Reverse image search employs non-generative AI to locate images online. This means it doesn’t create content but identifies existing content based on its features.

Gathering Data

To build an image index, bots called crawlers search the internet for pictures. These programs navigate websites, moving from one page to another, identifying images, and recording their sources in an index.

Instead of saving copies of the images, crawlers store each image as a vector — a sequence of numbers that describes the image's features, such as colors and shapes.

Training Models

While crawlers collect data, AI models are trained to recognize and match specific features within images. This process, known as machine learning, relies on databases of images. For example, if a model is designed to recognize cats, developers provide it with a large dataset of cat images along with non-cat images to help it learn to distinguish between the two.

The models store these features as vectors, enabling them to compare vectors from crawlers with the vector of an uploaded image.

To dive deeper, read about the principles of reverse image search.

How to Use AI Image Search Online

To perform a reverse image search using AI, visit lenso.ai and upload your image.

After uploading, the search categorizes results into the following groups:

Places: Similar landscapes, buildings, or locations.
People: Matches of the same person in various environments; ideal for tracking digital footprints.
Duplicates: Identical or edited versions of the uploaded image (e.g., cropped, filtered, or altered). This helps find the original version of an edited image.
Similar: Images with similar layouts, content, or visual elements but not exact duplicates.
Related: Images correlated with the original but not necessarily visually similar.

Search Filters

Unlike most reverse image search platforms, lenso allows filtering by:

Text: Search by keywords. For instance, upload a blue mug and add the keyword “red” to find red mugs.
URL: Search within a specific website by providing its URL.

Easy Sorting

Lenso makes it easier to sort results. With its latest update, you can sort images by:

Newest/Oldest: Based on the date of indexing.
Best/Worst Match: How closely the image matches the uploaded picture.
Random: Displays results in random order for variety.
Show Diverse Results: Finds the same people or places in different contexts.