Tag: rest api

Unlocking the Power of DOCSCAN API for Developers: A Unified Solution for ID Scanning

In an era where digital identity verification is critical across industries, PixLab's DOCSCAN API stands out by providing an unparalleled ID scanning solution.

With support for over 11,000 types of identification documents from 197+ countries, DOCSCAN unifies ID Scan into a single, seamless REST API endpoint that is unmatched by other eKYC platforms. Let’s dive into the core capabilities of this powerful tool and why it’s a game-changer for developers.

DOCSCAN ID

Why DOCSCAN is a Must-Have for Developers

The DOCSCAN API Endpoint is more than just an ID scan API. Designed to be developer-friendly with RESTful API architecture, it simplifies the complex process of identifying, extracting, and validating personal data from IDs, passports, driver's licenses, visas, birth & death certificates and more.

  • Single Endpoint Access
    With just one API endpoint, https://api.pixlab.io/docscan, developers can integrate ID scanning capabilities effortlessly into their applications. This endpoint unifies ID scanning, eliminating the need for multiple services or platforms to handle various document types.

  • Unmatched Document Coverage
    DOCSCAN supports 11,097+ documents, including both national and international travel documents. Whether structured with Machine Readable Zones (MRZ) or not, the API efficiently processes them. No other eKYC platform on the market today provides this breadth of coverage.

Key Capabilities of DOCSCAN API Endpoints

  1. Global ID Support
    DOCSCAN is designed to handle IDs from nearly every country in the world, making it ideal for global businesses. From passports and residence permits to birth certificates, the API ensures that organizations can onboard users regardless of their location.

  2. RESTful API Architecture
    The API’s REST architecture ensures easy integration across platforms and programming languages, including Python, Java, PHP, and JavaScript. With a well-documented REST endpoint, developers can quickly set up the solution without extensive learning curves.

  3. Intelligent Image Handling
    DOCSCAN integrates intelligent image correction, automatically adjusting for skew, distortion, or layout variations to enhance scanning accuracy. This ensures that even low-quality images yield accurate extraction of data.

  4. Built-in Face Detection
    For applications that require additional security, DOCSCAN offers face detection and extraction.

  5. Privacy-First Processing
    PixLab processes all data in-memory, ensuring no user data is stored on servers. This privacy-first design aligns with regulatory compliance, including GDPR, making it a trustworthy choice for sensitive applications.

Streamlined Integration with Code Samples

DOCSCAN offers ready-to-use code samples that are accessible here making integration a breeze for developers of all skill levels. Whether you’re working on a financial service, e-commerce, healthcare, or travel platform, the code examples available in multiple languages help you quickly adopt DOCSCAN into your existing project.

Conclusion

PixLab’s DOCSCAN API Endpoint sets a new standard for identity verification, offering a unified, powerful, and developer-friendly platform. With comprehensive global document coverage and advanced features like face detection, it helps businesses scale their eKYC operations effortlessly.

Whether you're building solutions for financial services, healthcare, travel, or e-commerce, the DOCSCAN API endpoint offers scalable, privacy-first, and seamless ID scanning capabilities. Start leveraging DOCSCAN today to simplify identity verification across your digital platforms.

Explore Further:

Milestone Reached for the PixLab NSFW API Endpoint

The PixLab Computer Vision team is pleased to announce that a milestone have been reached for the Not Safe For Work API endpoint. Over the course of the last 12 months, the /nsfw API endpoint have already analyzed millions of our user's media files with high accuracy.

For those not familiar with this endpoint. /nsfw let you detect not suitable for work (i.e. nudity & adult) content in a given image or video frame. NSFW is of particular interest, if mixed with some media processing API endpoints like /blur, /encrypt or /mogrify to censor images on the fly according to their nsfw score.

A typical blurred image with a high NSFW score should look like the following:

blurred image

To obtain such image result, two endpoints were actually used:

  • /NSFW is the analysis endpoint that must be called first. It does perform nudity & adult content detection and return a score value between 0..1. The more this value approaches 1, the more your picture/frame is highly nsfw.
  • /blur is called later only if the nsfw score value returned earlier is greater than certain threshold. In our case, it is set to 0.5.

The Python code below was used to generate the blurred picture programmatically without any human intervention. This can help you automate things such as verifying user's uploads:

import requests
import json

# Target Image: Change to any link (Possibly adult) you want or switch to POST if you want to upload your image directly, refer to the sample set for more info.
img = 'https://i.redd.it/oetdn9wc13by.jpg' 
# Your PixLab key
key = 'Pixlab_Key'

# Censor an image according to its NSFW score
req = requests.get('https://api.pixlab.io/nsfw',params={'img':img,'key':key})
reply = req.json()
if reply['status'] != 200:
    print (reply['error'])
elif reply['score'] < 0.5 :
    print ("No adult content were detected on this picture")
else:
    # Highly NSFW picture
    print ("Censoring NSFW picture...")
    # Call blur with the highest possible radius and sigma
    req = requests.get('https://api.pixlab.io/blur',params={'img':img,'key':key,'rad':50,'sig':30})
    reply = req.json()
    if reply['status'] != 200:
        print (reply['error'])
    else:
        print ("Censored image: "+ reply['link'])

Finally, the official endpoint documentation is available to consult at https://pixlab.io/cmd?id=nsfw and a set of working samples in various programming language are available at the PixLab samples pages.