Reverse Image Search API

Upload a photo, find visually similar images

One API call searches your entire image database by visual similarity. No tags, no metadata, no ML pipeline required.

Try Vecstore Free
Query - navy henley shirt

Navy henley

Searching by visual similarity

Match - cotton henley

Cotton henley

100%

Match - slim-fit henley

Slim-fit henley

94.3%

Match - ribbed henley

Ribbed henley

91.8%

1

API call

0

ML models

<180ms

response

Use Cases

Built for apps where visual discovery matters.

<180ms

Search latency

99.9%

Uptime

Millions

of images searchable

E-commerce

Customer sees a product they like somewhere. They upload the photo, your store finds every similar item you carry. Better than keyword search because shoppers don't always know what something is called.

"Shop the look" features
Visual product recommendations

Stock photography

Millions of images, and users want "something like this one." Reverse image search lets them browse by visual similarity instead of guessing keywords. Better discovery means more licenses sold.

Find similar compositions
Match color palettes and moods

Duplicate detection

Catch reposted content, stolen images, or duplicate listings. Upload the image, find every copy or near-copy across your database. Works even when images are cropped, resized, or filtered.

Marketplace listing deduplication
Copyright and IP protection

Real estate

A buyer sees a kitchen they love. They upload the photo and find every listing with a similar kitchen. Visual search surfaces properties that keyword filters miss entirely.

Search by interior style
Find similar properties visually
No ML Required

Skip the CLIP model. Skip the vector database.

Building reverse image search from scratch means running a CLIP model for embeddings, a vector database for storage, and a sync pipeline to keep them connected. With Vecstore, you skip all of that.

Building it yourself
CLIP or similar model

Generate image embeddings

GPU infrastructure

$2-10K/month for inference

Vector database

Store and index embeddings

Data sync pipeline

Keep source and vectors in sync

Estimated time to production

2-3 months

Using Vecstore
Insert images via API

Embeddings generated automatically

Search by image in one call

Results with similarity scores

No infrastructure to manage

No GPUs, no models, no vector DB

Pay per operation

Scale up or down, no commitment

Time to production

An afternoon

Same database, more search modes

Reverse image search is one way to search your images. The same database also supports text-to-image search, face search, and OCR. One API key, one database.

Text to Image search by describing what you want.

Users type "red dress with floral pattern" and get matching images. No tags needed.

Learn more →

Face Search find every photo of a person.

Upload a face, find every match across your library. Works across angles and lighting.

Learn more →

Add reverse image search to your appin minutes, not months.

1M+ searches powered by Vecstore this year

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Start for Free

25 Free credits. No credit card required.