Tag: image analysis

PixLab API 2 Released with new API Portal and Over 150 Endpoints

PixLab Logo

The development team is thrilled to announce the release of PixLab API 2, a massive upgrade to our machine vision and media processing platform with now featuring a brand-new API Portal and over 150 powerful endpoints designed for businesses, developers, and creators.

From document extraction APIs, background removal, and dynamic PDF creation plus a brand new Vision Platform backed by state-of-the-art vision-language models, PixLab API 2 offers unmatched capabilities to analyze, transform, and automate visual content at scale.

👉 Explore the new API Portal now: pixlab.io/api-portal

👉 Explore the comprehensive list of API endpoints and their documentation: pixlab.io/api-endpoints

What’s New in PixLab API 2?

✅ All-New Developer Portal

  • Modern UI for key management, usage monitoring, and testing API calls in real time.
  • Comprehensive API Reference & Endpoint List with code samples and quickstart guides for every service.

🔍 Featured API Categories & Endpoints

ID Scan & Extract API

Scan official documents effortlessly with PixLab’s ID Scan & Extract API: - Comprehensive ID Support: Quickly scan & extract data from passports, driver's licenses, and 11,000+ document types from 197+ countries. - Structured JSON Output: Get parsed ID fields (name, DOB, MRZ, face, etc.) in a clean, machine-readable format.

👉 Explore DOCSCAN Documentation

FACEIO – Face Recognition & Authentication

Secure and frictionless passwordless authentication: - Facial Login: Enable seamless access with facial authentication. - Liveness Detection: Block spoofing with advanced anti-fraud checks. - Age Verification: Instantly validate user age for compliance.

👉 FACEIO Integration Guide

🖼️ Background Removal API

Remove image backgrounds with pixel-perfect precision: - Ultra-Fast Processing: Background-free images in seconds. - Automated & Scalable: Integrate into any web or mobile app.

👉 View Background Removal Docs

Try also the bulk version: BG Remove App ↗

NSFW & Content Moderation API

Keep your platform safe and compliant: - Blur, Pixelate, or Block harmful images or frames. - Detect adult, violent, or graphic content using advanced AI models.

👉 Content Moderation Docs

👁️‍🗨️ Vision-Language Models (VLMs)

Check out these insights from documents using Vision + NLP via the Vision Platform: - Document understanding with layout awareness - Great for invoices, contracts, ID cards, and more. Featured new Vision API endpoints:

👉 and a whole lot more Explore Vision APIs

📄 Rich PDF Generation API

Create beautiful PDFs at scale:

  • PDFGEN Endpoint: Convert HTML/Markdown to professional PDFs.
  • PDFTOIMG Endpoint: Preview and convert PDFs to image formats, as documented here.

👉 View Rich PDF Generation APIs

🛠️ Online Tools Backed by PixLab APIs

Explore our growing suite of web apps, each powered by PixLab’s infrastructure:

For Developers, Creators, and Businesses

PixLab API version 2 is now production-ready, SDK-free, and tightly integrated, making it ideal for:

  • Fintechs & KYC providers
  • E-commerce & SaaS platforms
  • AI developers & researchers
  • Content creators & automation teams

🔑 Get Your API Key & Start Your Integration Phase

Head to the PixLab Console to:

  • Generate your first API key
  • Integrate with over 150+ endpoints
  • Access complete documentation & live API testing tools

Join thousands of developers and businesses using PixLab to power the next generation of intelligent visual applications.

🧠 Build smarter, automate faster, and scale confidently with PixLab API 2.

— The PixLab Team

SOD Embedded 1.1.7 Released

Symisc Systems is pleased to release the first major version of the SOD library! SOD is an embedded, modern cross-platform computer vision and machine learning software library that expose a set of APIs for deep-learning, advanced media analysis & processing including real-time, multi-class object detection and model training on embedded systems with limited computational resource and IoT devices.

SOD was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in open source as well commercial products.

Notable SOD features

  • Built for real world and real-time applications.
  • State-of-the-art, CPU optimized deep-neural networks including the brand new, exclusive RealNets architecture.
  • Patent-free, advanced computer vision algorithms.
  • Support major image format.
  • Simple, clean and easy to use API.
  • Brings deep learning on limited computational resource, embedded systems and IoT devices.
  • Easy interpolatable with OpenCV or any other proprietary API.
  • Pre-trained models available for most architectures.
  • CPU capable, RealNets model training.
  • Production ready, cross-platform, high quality source code.
  • SOD is dependency free, written in C, compile and run unmodified on virtually any platform & architecture with a decent C compiler.
  • Amalgamated - All SOD source files are combined into a single C file (sod.c) for easy deployment.
  • Open-source, actively developed & maintained product.
  • Developer friendly support channels.

Programming Interfaces

The documentation works both as an API reference and a programming tutorial. It describes the internal structure of the library and guides one in creating applications with a few lines of code. Note that SOD is straightforward to learn, even for new programmer.

SOD in 5 minutes or less

A quick introduction to programming with the SOD Embedded C/C++ API with real-world code samples implemented in C.

C/C++ API Reference Guide

This document describes each API function in details. This is the reference document you should rely on.

SOD Github Repository

The official Github repository.

C/C++ Code Samples

Real world code samples on how to embed, load models and start experimenting with SOD.