Search the world
by image.
Face2Find turns any picture into a query. Drop in an image and find visually similar products, objects and scenes across billions of indexed images — then organize what you find into collections your whole team can search.
Visual search powering commerce, media and research teams
Text search ends where the visual web begins
So much of the web has no useful caption. Face2Find indexes the pixels themselves — shapes, objects, colors and scenes — so you can search for things you can see but can't describe.
- Search by picture, not keywordsUpload or paste an image and get visually ranked results in milliseconds.
- Object & scene understandingDetect products, materials, colors and settings — then filter results by any of them.
- Organize the visual webSave matches into shared collections that stay searchable as your index grows.
A working slice of the Face2Find studio
Tap the filters. Watch results re-rank against a query image in real time. This is the real interface on a sample index.
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Visual results
From pixels to a searchable index
Four stages turn raw images into instant, ranked visual search — at the scale of billions.
Perception
Vision models detect objects, materials, colors and scenes in every image, with bounding regions you can search within.
Embeddings
Each image becomes a high-dimensional vector that captures visual meaning, so similar things sit close together.
Vector index
An approximate-nearest-neighbor index searches billions of vectors in tens of milliseconds, sharded and replicated.
Ranking
A re-ranker blends visual similarity with object, color and source filters to put the most relevant results first.
A complete visual search toolkit
Reverse image search
Find where an image — or anything that looks like it — appears across the indexed web.
Object & color filters
Search within a region of an image, or narrow results by detected object, color and material.
Visual web monitoring
Track where your products, packaging or creative show up — and get alerted to look-alikes.
Shared collections
Cluster and save matches into team collections that stay searchable as the index grows.
Millisecond latency
A purpose-built vector index returns ranked matches in tens of milliseconds at billion-scale.
Visual Search API
Drop visual search into your own product with a single REST endpoint and webhook alerts.
One engine, many ways to search visually
Let shoppers search with their camera
Turn any photo into a product query. Shoppers find the exact item — or the closest visual match — across your whole catalog and beyond.
Find counterfeits and misuse before they spread
Monitor the visual web for unauthorized use of your products, packaging and creative — including look-alikes that text search would never catch.
Stop losing assets in the archive
Creative teams sit on millions of images with no good way to find them. Face2Find makes the whole library searchable by what's in the picture.
Search visual archives at scale
From museum collections to scientific imagery, Face2Find indexes large visual archives so researchers can find by similarity, not just metadata.
Keyword search can't see
Keyword & metadata search
- Useless when images have no caption or tags
- Misses look-alikes and visual variants
- Manual tagging that never keeps up
- No way to search "things like this"
- Slows to a crawl at large scale
With Face2Find
- Searches the pixels — no captions required
- Finds exact matches and visual look-alikes
- Auto object, color and scene detection
- "More like this" from any image, instantly
- Billion-scale index in tens of milliseconds
Teams that can finally search what they see
"We added camera search to our app in a weekend with the API. Shoppers point at something in the real world and land on the closest product we carry. Discovery conversion is up double digits."
"Face2Find flags counterfeit listings of our packaging within hours — including knock-offs that never use our brand name."
"Our creative archive went from a black hole to fully searchable by what's actually in each frame. It changed how the studio works."
Pay for the queries you run
Start indexing in minutes. Scale to billions of images with predictable, volume-based pricing.
For prototypes and small visual indexes.
- Up to 1M images indexed
- 100k visual queries / mo
- Object & color detection
- REST API & webhooks
- 3 seats
For products putting visual search in front of users.
- Up to 100M images indexed
- 5M visual queries / mo
- Visual web monitoring
- Shared collections
- Priority index refresh
- 12 seats
For billion-scale, private and on-prem indexes.
- Billions of images, unlimited queries
- Private / on-prem deployment
- SSO, SCIM & audit logs
- Custom models & re-rankers
- Data residency & DPA
- 99.9% uptime SLA
Visual search, built responsibly
Not facial recognition
Face2Find searches objects, products and scenes — not people. We do not build biometric face-identification of private individuals, and the platform is designed to prevent that use.
Privacy & consent first
We honor robots directives and opt-outs, exclude sources on request, and let rights holders remove their images from the index. No covert surveillance use cases.
Enterprise security
SOC 2 Type II controls, encryption in transit and at rest, SSO, audit logging, and private or on-prem indexes for sensitive data.
Where we're headed
Make everything in the visual world as searchable as text — usefully, and responsibly.
A web you can search with a picture, where creators and rights holders stay in control of their images.
Questions, answered
No. Face2Find is a visual search engine for objects, products and scenes. We do not offer biometric identification of individuals, and the product is designed to prevent surveillance use cases.
Upload or paste an image, draw a region of interest, or combine an image with text. Results can be filtered by detected object, color, material and source.
Median visual queries return in around 38ms against billions of indexed vectors, thanks to a sharded approximate-nearest-neighbor index.
Yes. We honor robots directives and provide a removal process so rights holders can exclude their images from the index.
Enterprise customers can index private catalogs and archives, including on-prem deployments, fully isolated from the public web index.
Search your own images in 30 minutes
Bring a catalog or an archive. We'll index a sample and show you visual search, look-alike detection and collections on your real images.