Venezuela Cédula OCR API with Python

Extract the cédula number, names, and dates from the Venezuela Cédula de Identidad with the StructOCR Python SDK and a server-side integration.

Working with the Cédula de Identidad

The Venezuelan cédula shows a V or E prefix for nationals and foreign residents before the number. Re-keying these values is slow, and generic OCR still leaves your team to map each text fragment to the right field.

Structured Extraction for Your Backend

The National ID OCR API returns the cédula number, names, dates, and address when they are printed on the submitted side of the card. Test it with the free ID card scanner.

Common Integration Scenarios

  • Customer onboarding: Pre-fill identity fields from the Cédula de Identidad before the customer confirms them.
  • Account operations: Reduce manual transcription when staff enter identity data.
  • Document review: Store normalized output next to your own review decision.
Need more testing? Create a free account to get 200 free credits (equals 100 National ID scans).

Venezuela Cédula OCR API with Python

The official Python SDK reads a local file and calls /v1/national-id from your backend.

Prerequisite: `pip install structocr`; set the server-side `STRUCTOCR_API_KEY` environment variable.

Prefer another stack? Open the Node.js SDK + Express integration.

import os
from structocr import StructOCR

client = StructOCR(os.environ["STRUCTOCR_API_KEY"])
result = client.scan_national_id("id-card.jpg")

if result.get("success"):
    data = result["data"]
    print(data.get("document_number"))
    print(data.get("given_names"), data.get("surname"))
else:
    print(result.get("error"))

Technical Specs

  • •Endpoint: POST /v1/national-id
  • •Input: Base64-encoded JPG, PNG, WebP, or PDF in JSON (Max 4.5MB)
  • •Authentication: Server-side x-api-key header handled by the SDK
  • •Cost: 2 credits per successful scan; failed requests are not billed
  • •Output: Structured JSON

Key Features

  • •Local document: Handles the Cédula de Identidad as a national identity document.
  • •Identifier output: Returns the cédula number when visible.
  • •Normalized names and dates: Consistent JSON keys across countries.
  • •Server integration: The API key stays on your backend.

JSON Response Example

Fictional values showing the normalized shape for a readable Cédula de Identidad; unavailable fields are null.

{
  "success": true,
  "data": {
    "type": "national_id",
    "country_code": "VEN",
    "document_number": "V-00.000.000",
    "personal_number": null,
    "surname": "DOE",
    "given_names": "ALEX",
    "sex": null,
    "date_of_birth": "1990-01-01",
    "place_of_birth": null,
    "date_of_issue": null,
    "date_of_expiry": null,
    "issuing_authority": null,
    "address": null,
    "additional_fields": {}
  }
}

Frequently Asked Questions

Does the API validate the cédula number?

It extracts the number as printed. Database checks and authenticity verification require official channels or your own review.

Which inputs are supported?

JSON with a Base64-encoded JPG, PNG, WebP, or PDF up to 4.5MB; the SDK handles encoding.

Is there a version for the other SDK language?

Yes. A paired Node.js version of this tutorial covers the same document.

You May Also Like

Related tutorials, platform guides, and comparisons

Country Tutorial

Venezuela Cédula OCR API with Node.js

Extract the cédula number, names, and dates from the Venezuela Cédula de Identidad with the StructOCR Node.js SDK and a server-side integration.

Node.js · National ID
Country Tutorial

Singapore NRIC OCR: Extract Fields with Python

Extract visible fields from Singapore nric images into JSON. Map identifiers, names and dates, with a review workflow for incomplete results.

Python · National ID
Country Tutorial

Paraguay Cédula OCR API with Python

Extract the cédula number, names, and dates from the Paraguay Cédula de Identidad Civil with the StructOCR Python SDK and a server-side integration.

Python · National ID
Country Tutorial

Qatar identity card OCR: Extract Fields with Python

Extract visible fields from Qatar identity card images into JSON. Map identifiers, names and dates, with a review workflow for incomplete results.

Python · National ID
Country Tutorial

Saudi Arabia National ID & Iqama OCR Python SDK

Python Tutorial: Automate KYC in Saudi Arabia. Extract data from National IDs and Iqamas using the StructOCR Python SDK. Supports bilingual (Arabic/English) text, 10-digit ID numbers, and 3-line MRZ extraction.

Python · National ID
Country Tutorial

Tanzania NIDA Card OCR Python SDK

Python Tutorial: Automate KYC in Tanzania. Extract data from NIDA Card using StructOCR Python SDK. Supports native text and MRZ extraction.

Python · National ID
Country Tutorial

South Africa Smart ID OCR with Node.js SDK

Extract identity number, names, dates and other visible fields from South African Smart ID card with the StructOCR Node.js SDK and Express.

Node.js · National ID
Country Tutorial

Philippines PhilID OCR with Node.js SDK

Extract PhilSys Card Number, names, dates and other visible fields from Philippine Identification Card (PhilID) with the StructOCR Node.js SDK and Express.

Node.js · National ID
Country Tutorial

Zambia NRC OCR API with Node.js

Extract the NRC number, names, and dates from the Zambia National Registration Card (NRC) with the StructOCR Node.js SDK and a server-side integration.

Node.js · National ID
Country Tutorial

Venezuelan Passport OCR API with Node.js

Extract passport number, names, nationality, and validity dates from Venezuelan passports with the StructOCR Node.js SDK, reading both MRZ and printed fields.

Node.js · Passport

Technical Comparisons & Integrations

Explore platform integrations and competitive analysis

From tutorial to production in 5 minutes.

You've seen the code. Now get your API key, grab your 200 free credits, and see it work with your own images. No credit card required.

Instant Access Cancel Anytime No Credit Card