Our technology is processed through a multitude of machine learning models and an array of pre-processing algorithms, ensuring you get the fastest and most accurate results returned back as .Json.

All of this is delivered through a simple and easy-to-use API enabling developers to integrate, iterate and innovate fast

PYTHON: PROCESS

import requests
import json
from dotenv import load_dotenv
import os

# load your environment containing the api key
BASEDIR = os.path.abspath(os.path.dirname(__file__))
load_dotenv(os.path.join(BASEDIR, '.env'))
API_KEY = os.getenv("API_KEY")

def callProcess():

    endpoint = "https://api.tabscanner.com/api/2/process"
    receipt_image = "app/path/to/imageFile/image.jpg"

    payload = {"documentType":"receipt"}
    files = {'file': open(receipt_image)}
    headers = {'apikey':API_KEY}

    response = requests.post( endpoint,
                              files=files,
                              data=payload,
                              headers=headers)
    result = json.loads(response.text)

    return result