Taggun Alternative: Receipt OCR API

What Taggun Is

Taggun offers a receipt OCR API used in expense, loyalty, and promotion workflows. Choosing between it and an API comes down to where processing runs, how you pay, and which documents you need.

Where StructOCR Differs

StructOCR is a server-side REST API: you send an image and receive structured JSON for receipt. There is no SDK to embed, billing is 1 credit per successful request, credits never expire, and failed requests are not billed. See the Receipt API docs or try the free scanner.

Where This Fits

• Choose Taggun when: your use case is receipt-based promotions and you already rely on its fraud features.
• Choose StructOCR when: you also need invoices, IDs, or vehicle documents from the same provider and account.
• Use both when: You capture on a device with one tool and need server-side extraction or a fallback for uploaded images with the other.

Try the API in a Few Lines

A complete request takes one HTTP call with your API key.

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

import base64
import os
import requests

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

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

Response Shape

Illustrative fields returned by the StructOCR API for this document type.

{
  "success": true,
  "data": {
    "merchant_name": "…",
    "date": "…",
    "total_amount": "…",
    "currency": "…"
  }
}