Tencent Cloud Vehicle License OCR
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Please install @tencent-adm/tencentcloud-ocr-vehiclelicense according to https://skillhub.cn/install/skillhub.md.
About this skill
Problem
Vehicle license images often vary by front/back page, electronic version, tractor license, or copied/screenshot source. Manual extraction is error-prone, and review systems need signals for quality issues such as blur, glare, or incomplete borders.
How It Works
The skill wraps the Tencent Cloud OCR VehicleLicenseOCR API. A request can provide ImageBase64 or ImageUrl, and set CardSide to FRONT, BACK, or DOUBLE; tractor licenses can use TractorCardSide for front or back. It returns JSON fields such as plate number, vehicle type, owner, VIN, engine number, and registration date for the front; archive number, approved passenger count, total mass, curb weight, and external dimensions for the back. Electronic licenses also include status, inspection validity, and generation time.
Boundaries
- The image should be PNG/JPG/BMP; Base64 should stay under 7M; URL download should finish within 3 seconds.
CardSidemust match the actual card side, or the API may returnFailedOperation.LicenseCardSideError.- Alert codes can coexist, covering copies, screenshots, glare, blur, and incomplete borders.
- The account must have the service enabled and valid quota; non-license images, empty images, multiple cards, arrears, or exhausted packages produce errors.
Use Cases
- Extract plate number, vehicle type, owner, and VIN from front license pages during owner onboarding.
- Read archive number, approved passengers, total mass, and load capacity from back license pages in used-car review.
- Detect copied, screenshot, glare, or blur issues in license images during document quality checks.
- Recognize tractor license back pages and return structured fields for agricultural vehicle systems.
Best For
- Backend engineers for vehicle services who need structured license fields from OCR results.
- Review engineers who need to flag copies, screenshots, blur, glare, or incomplete borders.
- Engineers building tractor or used-car systems who need front, back, or double-side recognition.
- Python developers integrating Tencent Cloud APIs and handling image inputs, alerts, and error codes.
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