Onboarding, login, and recovery
Compare faces against a reference photo at signup, login, or step-up authentication. Score-based confidence so edge cases can route to a human reviewer.
When your product receives a selfie, a receipt, a product photo, or any other image from a user, get back what your code needs, whether that is a match score, extracted text, or detected objects. No model training, no infrastructure to run.

From the selfie a new user submits at signup, to the receipt an employee uploads for an expense, to the product photo a seller posts on a marketplace, your application needs to extract meaning from these images before it can act.
Compare faces against a reference photo at signup, login, or step-up authentication. Score-based confidence so edge cases can route to a human reviewer.
Categorize, moderate, and enrich images that customers upload before they hit a feed, a queue, or a search index.
Pull text out of photographed paperwork to feed expense, accounts payable, and customer onboarding automation.
nomosly exposes a focused set of operations through a single REST API. Every operation returns structured JSON ready for your application.
face/compareCompare two images and receive a similarity score with confidence levels. Built for identity verification, access control, and account recovery.
face/detectLocate faces in an image with bounding boxes, age range, and emotion estimates. Useful for liveness checks and presence detection.
labels/detectIdentify objects, scenes, and concepts. Common for content moderation, visual search, and automated catalog enrichment.
text/detectPull printed and handwritten text out of photos and scans. Built for receipts, IDs, forms, and signage.
nomosly is built for the workflows where images become decisions your software has to make, on every signup, every upload, every transaction.

Match a real-time selfie against a government ID photo to admit new users in fintech, gambling, gig economy, and shared mobility products. Confidence scores let you auto-approve high-match cases and route the rest to manual review.

Detect what is in user-submitted images before they appear on a marketplace, classifieds site, or social feed. Categorize for safety, policy, and topic so review queues only see what truly needs a human.

Extract structured text from scanned receipts, invoices, and IDs to power expense reporting, accounts payable, and customer onboarding. Cuts out manual data entry for finance and operations teams.

Generate tags from product images at upload time to enrich e-commerce catalogs, improve on-site search relevance, and reduce the manual data entry merchants face during onboarding.
Send an image. Get structured data back. No SDK or model hosting required.
curl https://api.nomosly.com/v1/face/compare \
-H "x-api-key: $API_KEY" \
-H "content-type: application/json" \
-d '{
"sourceImage": "<base64>",
"targetImage": "<base64>"
}'{
"faceMatches": [
{ "similarity": 98.4, "confidence": "HIGH" }
],
"unmatchedFaces": [],
"usage": { "totalCycleUsage": 142 }
}Create your workspace, generate scoped API keys, and integrate the platform into your product today.