Assembly Line Fitment
Confirm the right tire size, brand, and SKU is fitted to the right build automatically, at line speed with a digital record linking every tire to its vehicle build.
Tire Sidewall Scanning SDK
Manual tire records put compliance and audits at risk. Scanflow's AI-enabled SDK is purpose-built for curved, worn, and embossed sidewalls that generic OCR can't handle deployable in production in 3-5 days.
98%
Capture accuracy across all tire codes and brands
<1sec
Per tire scan for instant identification
30%
Throughput boost with automated data entry
Where It Fits
From scrap yards to shop floors built for every tire-handling stage, whether the tire is new, in transit, or at end of life.
Confirm the right tire size, brand, and SKU is fitted to the right build automatically, at line speed with a digital record linking every tire to its vehicle build.
Streamline inbound and outbound tire verification by scanning size, brand, and serial details. Eliminate SKU mismatches across large-scale inventory movements.
Accelerate point-of-sale and service center workflows with instant tire identification. Simplify warranty validation, inventory updates, and service documentation.
Automate identification and tracking of end-of-life tires for recycling, reuse, or disposal. Stay compliant with environmental standards by capturing DOT and serial numbers accurately.
85 to 90%
Faster tire data capture vs. manual entry needs pending confirmation from Telle Tires engagement
98%
Sidewall read accuracy in live production conditions
“Manual DOT logging was our biggest audit risk. Scanflow turned every scan into a structured, traceable record without changing how our floor teams work.”
— Quality Operations, Telle Tires![]()
Why Not Generic OCR
Generic OCR is tuned for flat, printed text. Tire sidewalls are curved, embossed, dirty, and unevenly lit three properties that break most off-the-shelf recognition models.
| Capability | Manual Entry | Generic OCR | Scanflow Tire SDK |
|---|---|---|---|
| Reads embossed / low-contrast codes | Yes, slow & error-prone | Unreliable | 98% accuracy |
| Handles curved sidewall surfaces | N/A | Poor | Purpose-trained |
| Speed per tire | 15–30 sec | 3–5 sec, frequent re-scans | < 1 sec |
| Structured output (JSON/CSV) | No | Rarely | Yes |
| Works offline / on-device | Yes | Usually cloud-dependent | Edge & offline capable |
Under the Hood
Detects and records tire size specifications with high accuracy, across brands and sidewall layouts.
Reads and validates 10-13 character DOT/TIN codes, including plant code, size code, and date code segments.
Identifies manufacturer branding printed or embossed on the sidewall for cross-checking against expected inventory.
Works across mobile handheld capture and fixed-mount cameras on production lines, without dedicated scanning hardware.
Built for Developers
A lightweight native SDK with clear documentation and structured output no specialized hardware or dedicated scanning lane required.
Native SDK, built for mobile-first deployment on the platforms tire operations actually run on.
{"dot_code": "DOT ABCD 1234 0126","tire_size": "225/65R17","brand": "Detected","confidence": 0.98,"timestamp": "2026-07-22T10:41:03Z"}
Security & Compliance
Processing happens on-device, at the edge, on-premise, or in your private cloud your choice, never Scanflow's servers by default.
Scans are processed locally by default, with no requirement to transmit tire images off the device.
Data handling practices align with GDPR and enterprise security requirements for global manufacturers and distributors.
Nothing is stored on Scanflow servers unless you choose a cloud deployment — you retain ownership of all captured data.
Integration & Deployment
Software development kit that integrates into your existing mobile app or backend in 3–5 days, enabling rapid go-live.
3–5 day integrationBuilt for high-throughput environments continuous capture and processing directly within your assembly line, no cloud round-trip required.
Production-line readyGet Started
Book A Session And Scan A Real Tire Sidewall Worn, Curved, Or Embossed In Under A Minute.
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