Electric Vehicle VIN OCR for Charging and Fleet Apps

Where to Find the VIN on a Electric Vehicle

EVs use the same 17-character VIN as other vehicles, on the windshield plate and door-jamb label; many also show it in the vehicle app or touchscreen.

Capture and Extract It Reliably

Screen captures work when they show the full VIN clearly; prefer a photo of the plate when the app crops or truncates it. Then send the photo to the VIN OCR API, which returns the VIN and the surface it was read from. Test with the free VIN scanner.

Where This Fits

• Charging network account setup: Replace manual transcription of 17-character identifiers with a photo.
• EV fleet onboarding: Attach the extracted VIN and its source surface to the record for audit.
• Battery warranty claims: Send low-confidence reads to a review queue instead of saving them.

Python Example

Send the image as Base64 JSON and read the VIN fields.

Prerequisite: Python 3.9+, `pip install requests`, and a STRUCTOCR_API_KEY

import base64
import os
import requests

with open("vin.jpg", "rb") as image_file:
    image = base64.b64encode(image_file.read()).decode("ascii")

response = requests.post(
    "https://api.structocr.com/v1/vin",
    headers={"x-api-key": os.environ["STRUCTOCR_API_KEY"]},
    json={"img": image},
    timeout=30,
)
response.raise_for_status()
data = response.json()["data"]
print("vin:", data.get("vin"))
print("confidence:", data.get("confidence"))
print("carrier_type:", data.get("carrier_type"))

Sample VIN Response

Illustrative response using the Wikipedia sample VIN. The API returns the VIN as read; decoding happens in a separate step.

{
  "success": true,
  "data": {
    "vin": "1M8GDM9AXKP042788",
    "confidence": "High",
    "carrier_type": "metal_plate"
  }
}