Accurate, fast, developer-friendly ANPR
Automatic number plate recognition tuned for real roads — blur, night, steep angles, stacked characters, and multi-vehicle frames — with region-optimized models and deployment anywhere from cloud to Raspberry Pi.
- Accuracy (India)
- 99%+
- Snapshot inference
- 50–100 ms
- Regions supported
- 90+
- Deployment
- Cloud · On-prem
Watch demo
ANPR on real traffic footage
Recorded walkthrough from the VisiveAI channel — plate detection and decoding under real-world conditions.
Recognition modes
Still images or live streams — one engine
Snapshot mode decodes plates from any image you submit, returning the plate text plus vehicle make, model, color, and classification. Stream mode watches live cameras continuously, detecting and decoding plates in real time — up to four cameras on a mid-range CPU.
- Webhooks for every decoded plate
- Dashboard with search, sort, and filters
- Vehicle attributes alongside the plate read
- Fuzzy matching for watchlists and partial reads
Real-world accuracy
Built for the conditions that break other engines
Ideal photos are easy. Production traffic is not — so the engine is trained and tuned for the hard cases first.
Night and sun-glare conditions
Steep angles and fast vehicles
Two-row plates and icon plates
Multiple vehicles per frame
Stacked and decorative fonts
Partial and occluded plates
Region-specific formats (90+ countries)
Deployment
Cloud, on-premise, or at the edge
Run the managed cloud API, or deploy the SDK fully offline — Windows, Linux, Jetson, and Raspberry Pi included. On-premise keeps every plate read inside your network, with no internet dependency.
- SDK inference around 50 ms; cloud API around 200 ms
- Sample code in 8 programming languages
- Air-gapped operation for secure facilities
- Continuous engine updates with region tuning
Under the hood
Two networks, five candidate reads
One neural network localizes every plate in the frame; a second decodes each character. The engine can return up to five decoded candidates per image — raising first-pass accuracy on difficult frames.
The models keep learning: we fine-tune for your camera angles, lighting, and regional plate formats, so accuracy improves for your deployment instead of staying generic.
Privacy mode: a companion blur engine anonymizes plates in stored or shared imagery — adjustable blur strength, under 50 ms per image, fully offline.
Where it ships
Applications
Tolling & parking
Ticketless entry/exit, FASTag-style flows, and occupancy enforcement.
Smart cities & enforcement
Watchlist hits, violation detection, and traffic analytics at city scale.
Logistics & gated facilities
Gate automation paired with container OCR for end-to-end yard visibility.
ANPR evaluation
Test ANPR on your own camera footage
Send sample frames or a camera spec — we will return measured accuracy for your conditions. [email protected] · +1 (442) 264-1012