Verify identity, age and presence in seconds
eaglecheck turns a photo or live camera into a decision in seconds. One API to verify age, confirm a live person, match faces, read text and labels, gauge sentiment and check safety gear.
What is eaglecheck?
eaglecheck is an Australian image intelligence API. Point it at a photo or a live camera and it returns a decision in seconds. Its core is age and identity assurance: estimate a person's age, confirm they're a real, live person (not a photo or deepfake), and match a live face to the photo on an ID.
The same API also reads the image itself, identifying objects and scenes, extracting text, and checking for safety equipment like hard hats and face masks. Use any check on its own, or chain several into a full flow: age-gating, identity onboarding, access control or safety compliance.
One simple API
Drop in liveness, age verification, face matching, and text, label, PPE and content checks through a single integration, use one check or chain them.
Privacy-first
Checks run in seconds and you decide what is kept. Designed for Australian privacy law and the Online Safety Act.
Pay per check
No seat licences or lock-in. Start with a pilot and scale to millions of checks, you only pay for what you run.
How it works
Three steps, start to finish, no hardware, no friction.
Capture
A photo is taken, at a kiosk, a venue entry, a camera or in your app, or an ID is scanned. No special hardware.
Verify
eaglecheck runs the checks you need, liveness, age, face matching, text, labels, PPE or moderation, in seconds.
Decide
You get a clear pass or fail with the supporting detail. Thresholds are fully configurable, or take the raw data and make the decision on your side.
One API, every check
Composable building blocks, use one, or chain them into a full verification flow.
Age Verification
Estimate a person’s age from their face for age-gating and Challenge-25.
Face Liveness
Confirm a real, present person, not a photo, video or deepfake.
Face Matching
Compare two faces, such as a live capture to the photo on an ID.
Emotion & Sentiment
Gauge expression and mood, calm, happy, sad and more, for anonymous, aggregate insight.
Text Detection
Read text and numbers from images — plates, labels, tags and signage.
Label Detection
Identify objects, scenes and concepts in any image.
PPE Detection
Detect safety equipment, hard hats, gloves and face masks.
Content Moderation
Flag unsafe or inappropriate image content, nudity, violence, weapons, drugs and more.
Built for real-world checks
How businesses put eaglecheck to work, across industries.
Prove a customer is old enough, no ID needed
A single photo estimates age on the spot, with no document scan and nothing stored.
- Age estimated from a photo in seconds
- No ID or documents required
- Configurable age threshold: 18+, 21+ or Challenge-25
- Take the pass/fail, or decide on your side from the raw age data
Confirm a live person and their age in one check
Run liveness and age together: prove there is a real, present person in front of the camera and that they are old enough, in a single step.
- Liveness stops photos, screens and deepfakes
- Age verified in the same check
- One frictionless step, clear pass or fail
Match a customer to their ID document
Confirm a person is who they claim: capture their ID, check liveness, and match the live face to the document portrait. The full KYC onboarding flow in one pass.
- Live face matched to the ID portrait (1:1)
- Liveness stops a photo or the ID being held up to the camera
- Optional age check from the same capture
Face mask & PPE compliance, automatically
Detect whether people are wearing a face mask in clinical or food-handling settings, and surface a live compliance rate with instant alerts.
- Face mask present / absent per person
- Live compliance dashboard
- Hands-free monitoring
Hard-hat & glove compliance on industrial sites
Spot workers missing required PPE on a mine or work site from an overhead camera, flag a non-compliant worker the moment they step into the zone.
- Hard hat and glove detection, per worker
- Counts who is compliant, who is not, and who can’t be determined
- Bounding boxes locate each flagged worker
Anonymous sentiment, store by store
Aggregate, anonymous emotion trends across foot traffic, measure how customers feel and track it over time. No individuals identified.
- Calm / happy / sad breakdown
- Track sentiment trends over time
- Privacy-first, aggregate only
Auto-tag and categorise images at scale
Identify the objects, scenes and concepts in any image to organise, search or route large volumes of visual content automatically.
- Objects, scenes and concepts, each with a confidence score
- Tag and categorise large image libraries
- Filter or route content by what is in it
Read plates, labels and codes from a photo
Pull short text and numbers straight from an image — number plates, asset and product labels, tags, serial numbers and signage — and feed them into your workflow.
- Words and lines located on the image, with confidence
- Up to 100 words per image — built for short text, not dense documents
- Feeds straight into your own workflow
Screen user uploads for unsafe content
Automatically flag nudity, violence, weapons, drugs and other unsafe imagery in user-generated content, with a category for each flag.
- Flags unsafe or inappropriate images
- Category and confidence per flag
- Keep human review in the loop
Use eaglecheck to build your own use cases
Try the live demo right now in your browser, or get in touch about your use case.