Tire Extraction
Extract information from images with AI. Live demo: read every spec on a tire sidewall (brand, model, size, DOT) from a single photo.
Overview
Tire Extraction is an AI platform that extracts information from images. The live demo reads tire sidewall specs: AI detects the tire and rim, unwraps the sidewall, enhances the text, then recognizes and parses it into structured data (brand, model, size, load and speed rating, DOT code, special markings), with a confidence score per text region. The same pipeline extends to invoices, product labels, documents, and many other image types.
- Tech stack
- PythonFastAPIPyTorchOpenCVOCR
- Focus
- OCRComputer VisionInformation extraction
Key features
Structured information extraction
From a single tire photo, AI returns brand, model, size, load and speed rating, DOT code, and special markings as clean data fields, ready to feed into your system.
Tire and rim detection
AI segments the tire and rim in the photo to isolate the sidewall that carries the information, ignoring the background and distracting details.
Text region enhancement and recognition
The sidewall is unwrapped and contrast-enhanced, then AI boxes each text region with a confidence score and reads its content.
One vision pipeline, applied across many image types
Apply it to any problem that extracts structured data from real-world photos.
Vehicles
- Tire specs
- VIN
- Engine number
- License plate
Products & packaging
- Ingredients
- Expiry date
- Batch code
- Barcode
Meters & devices
- Electric & water meters
- Gauges
- Device spec labels
Quality control
- QC stamps
- Labels
- Line batch codes
- Surface defects
Have a similar problem?
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