Google Document AI Alternative: National ID Card OCR API

Google Document AI compared with the StructOCR REST API for national id card, passport, driver license extraction: deployment, pricing model, and when each fits.

What Google Document AI identity processors Is

Google Cloud Document AI offers prebuilt identity document processors for a set of supported document types. 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 national id card, passport, driver license. There is no SDK to embed, billing is 2 credits per successful request, credits never expire, and failed requests are not billed. See the National ID Card API docs or try the free scanner.

Where This Fits

  • Choose Google Document AI identity processors when: you are committed to Google Cloud and your document types are on its supported list.
  • Choose StructOCR when: you need a broader country mix for ID cards and passports without managing cloud processors.
  • 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.
Need more testing? Create a free account to get 200 free credits (equals 100 Passport scans).

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

PYTHON EXAMPLE
import base64
import os
import requests

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

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

Technical Specs

  • •Endpoint: POST https://api.structocr.com/v1/national-id
  • •Authentication: x-api-key request header
  • •Inputs: JPG, PNG, or WebP as Base64 JSON; maximum 4.5MB
  • •Price: 2 credits per successful request; failed requests are not billed
  • •Free trial: 200 free credits on sign-up, no credit card required

Key Features

  • •Deployment: StructOCR runs as a hosted API, so there is nothing to install or update on devices.
  • •Pricing model: Prepaid credits that never expire; you are billed only for successful extractions.
  • •Evaluate on your own images: Compare tools on real customer photos, including glare, blur, and unusual issuers.
  • •No vendor claims here: Check each vendor’s current documentation for features and pricing; this page describes publicly stated product categories only.

Response Shape

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

{
  "success": true,
  "data": {
    "document_number": "…",
    "surname": "…",
    "given_names": "…",
    "date_of_birth": "…"
  }
}

Frequently Asked Questions

Is StructOCR a drop-in replacement for Google Document AI identity processors?

It replaces the data-extraction step when you can send images to a server. It does not replace on-device capture SDKs or verification features that StructOCR does not offer.

How can I compare them fairly?

Run the same set of real, consented customer images through both and compare field accuracy, failure handling, and cost per successful result.

Is there a free trial?

Yes. New accounts receive 200 free credits with no credit card.

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