Identity Verification Platform vs ID OCR API

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

What identity verification platforms Is

Identity verification platforms such as Onfido, Veriff, and Sumsub combine document capture, liveness, biometrics, and compliance screening. 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 identity verification platforms when: you need regulated end-to-end identity verification with liveness and face match.
  • Choose StructOCR when: you only need the document data extracted and will run your own or no verification steps.
  • 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 identity verification platforms?

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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