Vehicle quotes

1. Extract vehicle quote information with photo URL input

API:

Params:

Demo Python:

import requests

api_key = "YOUR_API_KEY"
api_secret = "YOUR_API_SECRET"

image_url = 'https://example.com/image.png'

response = requests.get(
  "https://demo.computervision.com.vn/api/v2/ocr/document/price_quotation?img=%s&format_type=url&get_thumb=false"
  % image_url,
  auth=(api_key, api_secret))

print(response.json())

2. Extract vehicle quote information with image file input

API:

Params:

Body:

Demo Python:

import requests

api_key = "YOUR_API_KEY"
api_secret = "YOUR_API_SECRET"
image_path = '/path/to/your/image.jpg'

response = requests.post(
  "https://demo.computervision.com.vn/api/v2/ocr/document/price_quotation?format_type=file&get_thumb=false",
  auth=(api_key, api_secret),
  files={'img': open(image_path, 'rb')})

print(response.json())

3. Extract vehicle quote information with JSON input

API:

Params:

Body:

{
  "img": "iVBORw0KGgoAAAANSU..." // string base64 of the image or pdf to extract
}

Demo Python:

import base64
import io
import requests
from PIL import Image
def get_byte_img(img):
    img_byte_arr = io.BytesIO()
    img.save(img_byte_arr, format='PNG')
    encoded_img = base64.encodebytes(img_byte_arr.getvalue()).decode('ascii')
    return encoded_img
api_key = "YOUR_API_KEY"
api_secret = "YOUR_API_SECRET"
img_name = "path_img"
encode_cmt = get_byte_img(Image.open(img_name))
response = requests.post(
    "https://demo.computervision.com.vn/api/v2/ocr/document/price_quotation?format_type=base64&get_thumb=false",
    auth=(api_key, api_secret),
    json={'img' : encode_cmt})
print(response.json())

4. Response

The response will be a JSON with the following format:

{
  "data": [xxxx],
  "errorCode": string,
  "errorMessage": string
}

Where the data field is a list, each element in the list corresponds to a vehicle quote (a vehicle quote can be one or more pages). Each of these elements is a JSON formatted as follows:

{
  "type": "price_quotation",
  "info": [xxxx]
}

The info field is a JSON with the following fields:

• estimated_delivery_date
• estimated_delivery_date_box
• estimated_delivery_date_confidence
• image
• image_table
• make_model
• make_model_box
• make_model_confidence
• name_of_garage
• name_of_garage_box
• name_of_garage_confidence
• number_plate
• number_plate_box
• number_plate_confidence
• quotation_date
• quotation_date_box
• quotation_date_confidence
• sub_total
• sub_total_box
• sub_total_confidence
• table: As a list, each element in the list contains information for a row. Each of these elements is a JSON containing the following information:
  • amount_total
  • amount_total_box
  • amount_total_confidence
  • description
  • description_box
  • description_confidence
  • discount
  • discount_box
  • discount_confidence
  • percent_discount
  • percent_discount_box
  • percent_discount_confidence
  • quantity
  • quantity_box
  • quantity_confidence
  • tax
  • tax_box
  • tax_confidence
  • unit_price
  • unit_price_box
  • unit_price_confidence
• total_amount
• total_amount_box
• total_amount_confidence
• vat_amount
• vat_amount_box
• vat_amount_confidence

Error code table: