We’re excited to announce the new major release of FACEIO, the world’s easiest-to-integrate Facial Recognition SDK for web and mobile applications. Whether you're a developer building secure apps, a small business owner wanting frictionless login, or managing employee attendance, We have exciting updates, and FACEIO is the perfect solution for your use case.

This release brings enhanced passwordless login, real-time liveness detection, accurate age verification, and enterprise-grade on-premises biometric authentication.

Why FACEIO?

FACEIO lets you authenticate users using just their face—no passwords, OTPs, or captchas. Built with privacy and simplicity in mind, it’s ideal for:

• Web-based facial recognition login
• Biometric authentication for websites and apps
• Employee attendance tracking
• Online age verification with face
• Liveness detection and deepfake prevention

Now, with this release, FACEIO is even more powerful and secure.

What’s New in This Release?

✅ Liveness Detection API

Prevent spoofing and ensure every face is a real, live user. Our new liveness detection API uses motion, blink, and 3D cues to stop deepfakes and printed-photo attacks in real time.

✅ Age Verification SDK

Need to restrict content or features by age? Our age verification SDK instantly classifies users as minors or adults based on facial features, perfect for e-commerce, gaming, and community platforms.

✅ Improved Developer SDK

• New JavaScript SDK (@faceio/fiojs) is lighter and faster, and available via NPM.
• Simplified enrollment & authentication methods: fio.enroll() and fio.authenticate()
• Full documentation with live demos and examples

📘 Get started quickly with our Integration Guide
→ Or jump straight into the Getting Started Page

Built for Security & Privacy

FACEIO is designed from the ground up with privacy-first principles and strong data protection in mind. No images are stored, only encrypted facial hashes. We meet global compliance standards and offer full transparency on our security architecture.

🔐 Explore our Security Best Practices
🔍 Learn more about Privacy & App Best Practices

Join the FACEIO Developer Community

Need help, feedback, or want to share your project? Join other developers and FACEIO users in our growing Community Forum where we discuss integration tips, use cases, and updates.

⚡ Ready to Go Passwordless?

Integrate biometric face authentication into your web app in under 5 minutes with just a few lines of code.

✅ Lightweight SDK
✅ Secure facial login
✅ Age and fraud detection
✅ Real-time liveness checks
✅ On-premise deployment options for enterprises

Start now with the FACEIO Getting Started Guide →

FACEIO — the secure, developer-first solution for online face login, biometric authentication, and passwordless access.

🚀 We’re excited to announce a major update to PixLab Annotate, our powerful browser-based image annotation and segmentation tool used by developers, researchers, and ML teams worldwide. With this release, Annotate is faster, more intuitive, and packed with new features designed to streamline dataset preparation for your machine learning projects.

🔗 Try it now at: annotate.pixlab.io

🆕 What’s New in This Update?

🗂️ Improved Bulk Uploading & Management

Handling large datasets just got easier: - Drag-and-drop multiple images or full folders - Real-time progress tracking - Faster loading and rendering of high-resolution images

✏️ Upgraded Annotation Tools

We’ve added more flexibility and precision to our tools: - Polygon and rectangle tools are now more responsive and support fine-grain editing - New free-draw segmentation mode for pixel-perfect outlines - Snap-to-edge enhancements for cleaner boundaries

📤 Export Enhancements

• Export all annotations in a single, structured JSON file
• Supports popular formats for TensorFlow, PyTorch, Detectron2, and others
• Optional image mask export (PNG) for segmentation tasks

🎯 Label System Overhaul

Labeling is now more powerful and organized: - Brand-new Label Manager with color-coding, grouping, and edit capabilities - Quickly switch between labels using keyboard shortcuts - Assign and auto-fill labels for repetitive tasks

⏪ Full Annotation History + Auto-Save

• Undo/redo every action with confidence
• Auto-save to local storage so you never lose work
• Load previous sessions instantly from your browser

🧩 Integration with PixLab Tools Ecosystem

• Seamless bridge to the Vision Playground for testing AI models on your annotated data
• Direct compatibility with PixLab’s API for automated processing, content moderation, and more

🔐 Privacy-First, Always

Like before, all annotations are stored locally in your browser. No uploads. No tracking. You’re in full control of your data.

⚡ Why This Matters

This update transforms Annotate into a production-ready tool for: - Preparing custom training datasets - Labeling at scale with higher accuracy - Rapid prototyping and iteration cycles in ML workflows

Whether you're training a YOLO model, segmenting for instance detection, or prepping for OCR, PixLab Annotate now meets the needs of both rapid prototyping and large-scale data labeling.

🚀 Ready to Explore?

Head over to annotate.pixlab.io and experience the upgrade firsthand.

We’d love your feedback! More features — including S3 export, collaborative annotation, and multi-user workspaces — are on the way. Stay tuned.

Happy annotating!

We’re thrilled to announce the new and improved PixLab Console, designed to give developers even more control and flexibility when working with PixLab’s AI-powered media processing APIs. This update brings a revamped user interface, powerful new features, and deeper integrations, making it easier than ever to manage your API usage, assets, and account settings.

🌟 What's New in the PixLab Console?

🔑 Enhanced API Key Management

Managing API keys is now simpler and more secure. The new API Key Management Section allows developers to:

• Generate, view, and manage API keys for different projects.
• Set custom usage limits for added security.
• Monitor API usage in real time.

☁️ AWS S3 Integration: Full Control Over Your Processed Assets

One of the most requested features is now here! The new AWS S3 integration lets you:

• Automatically store processed media in your own AWS S3 bucket for full control over your processed media assets. This feature is recommended for most customers using the eKYC ID Scanning API.
• Maintain full control over your assets instead of relying on temporary URLs.
• Streamline workflows by directly integrating PixLab’s API with your cloud storage solution.

👤 New Profile Section for Account Customization

A brand-new Profile Section makes it easier to manage your account settings, API access, and billing information. Stay in control of your credentials and subscription details from a single, intuitive interface.

📊 Revamped Main Dashboard

The PixLab Console has been redesigned to provide a cleaner, more intuitive experience. The new dashboard now includes:

• A real-time overview of API usage and quotas.
• Insights into recently processed media and API performance.
• Quick links to essential tools and documentation.

🛠 Upgraded Support Section

Need help? The revamped Support Section offers:

• A comprehensive knowledge base for troubleshooting and API documentation.
• A dedicated support ticketing system to get assistance directly from the PixLab team.
• A more streamlined experience for reporting issues and requesting new features.

🖥 Integration with Vision Platform Playground

The PixLab Console now seamlessly integrates with the Vision Platform, allowing developers to:

• Experiment with AI models before integrating them into production.
• Integrate PixLab API endpoints interactively.
• Preview AI-powered media transformations in real time.

🔧 Access to PixLab Online Tools

PixLab offers a suite of online tools for developers and non-developers alike. These tools, now integrated into the console, help with:

• Image enhancement and modification using state-of-the-art AI models.
• Face blurring and content moderation for privacy compliance.
• Vision Language Models (VLM) through the Vision Platform to Analyze, detect, and process images & video frames with advanced vision models.

🎉 Get Started Today!

The new PixLab Console is now live, and we can’t wait for you to try it out! Sign in to explore the latest features and take advantage of enhanced API management, cloud integration, and a brand-new developer experience.

🔗 Visit the new PixLab Console now: console.pixlab.io

PixLab is thrilled to announce the launch of FACEIO's pioneering Age Verification Widget, a remarkable addition to the FACEIO SDK suite, specifically designed for web and mobile platforms. This state-of-the-art widget provides real-time age verification, ensuring that users can access content suitable for their age group, thereby promoting a safer digital environment.

Key Features and Benefits

• Instant Verification: The FACEIO Widget verifies user age in milliseconds, using advanced facial analysis to swiftly differentiate minors from adults.
• Enhanced Compliance: With precise age distinction, businesses can effortlessly adhere to regional and global age-related regulations, minimizing legal risks.
• Seamless Integration: Developers can easily incorporate the widget into existing platforms with minimal effort, supported by comprehensive documentation available on our Integration Guide and Developer Guides.

A Tool for All Digital Arenas

Whether you're managing an online gaming site, a digital marketplace, or a content streaming service, the Age Verification Widget is your solution to maintaining age integrity online. It ensures that each user's experience is not only compliant with legal standards but also tailored to their age-specific needs.

Future-Proof Your Platform

As digital interactions become increasingly personalized and regulated, integrating robust age verification technology is more crucial than ever. The FACEIO Age Verification Widget is more than just a tool—it's an investment in your platform's future, safeguarding your operations and enhancing user trust.

For more details on how to get started, visit our detailed documentation provided in the Integration Guide and the Developer Guides.

• In today's digital world, face authentication has become an essential part of our daily lives.
• From unlocking our smartphones to accessing secure online accounts, face recognition technology has made our lives more convenient and secure.
• However, with the rise of deep fakes and face spoofing attacks, the need for advanced face anti-spoofing and livesness detection solutions has never been greater.

What is Livesness Detection and Face Anti-Spoofing?

• Livesness detection introduced in late 2023 and already integrated and available to FACEIO customers, also known as face anti-spoofing, is a security feature that ensures that the person being authenticated is a living human being and not a photo, video, or mask.
• This feature is crucial in preventing unauthorized access to sensitive information and systems.
• However, livesness detection can be challenging to implement, as it imposes severe restrictions during authentication.
  • For example, users are not allowed to have a smartphone, laptop, or LCD screen behind them during the authentication process.
  • If any of these devices are detected, the authentication process is aborted, and an PAD_ATTACK error code is raised instead.

Example of Spoof ATTACKS deterred by our ML new model

PixLab's New Single Shot Liveness, Face Anti-Spoof & Deep-Fake Detector Model To the Rescue

• PixLab, a leading provider of AI-powered face authentication & Age Verification solutions, has recently released a new single shot livesness, face anti-spoofing, and deep-fake detector model for FACEIO.
• This innovative model is designed to provide enhanced security and accuracy in face authentication, making it an essential tool for businesses and individuals alike.
  • One of the key features of this model is its ability to detect faces in a single shot, without requiring multiple images or video frames.
  • This makes the authentication process faster and more convenient for users, while still maintaining a high level of security.
  • In addition, this model is highly accurate and can detect even the most sophisticated face spoofing attacks, including those that use 3D masks and other advanced techniques.
  • This makes it an ideal solution for businesses and organizations that require a high level of security and accuracy in their face authentication systems. Customers are already invited to try out the new face Anti-Spoofing model directly within the FACEIO Widget!

Conclusion

• PixLab's new single shot livesness, face anti-spoofing, and deep-fake detector model is a game-changer in the world of face authentication.
• With its advanced AI algorithms and highly accurate detection capabilities, this model provides enhanced security and convenience for users, while still maintaining a high level of accuracy and reliability.
• As the use of face recognition technology continues to grow, it is essential to have advanced solutions like PixLab's new model to ensure the security and privacy of our personal information.
• Whether you are a business owner or an individual user, this model is an essential tool for anyone who values security and convenience in their face authentication systems.

PixLab is thrilled to announce the release of PixLab Annotate 1.97, the latest version of our cutting-edge online image annotation tool. Designed to streamline and enhance the process of image labeling and segmentation, PixLab Annotate 1.97 is packed with new features and improvements that make it an indispensable tool for machine learning and computer vision projects.

Key Features of PixLab Annotate 1.97

• Enhanced Labeling Tools: The new version includes advanced rectangle and polygon zoom drag labeling tools, making the process of annotating images more precise and efficient.

• Optimized for Instance Segmentation: PixLab Annotate 1.97 is optimized for instance segmentation tasks, including support for Mask R-CNN, ensuring compatibility with advanced machine learning models.

• Client-Side Persistent Storage: With the introduction of client-side persistent storage, your data remains on your device, eliminating the need for data transfer and enhancing security and speed.

• Full-Screen Display and Snapshot Capture: The full-screen mode and snapshot capture feature allow for a more immersive and detailed annotation experience.

• Consistent JSON Output: The tool generates consistent JSON output, which is readily accepted by most machine learning frameworks, facilitating seamless integration into your workflow.

• Improved Label Management: Create, modify, and delete labels with ease, thanks to the improved label management system.

• Annotation Events Tracking: Keep track of your annotation history with the enhanced tracking feature, which includes undo and redo options for better control over your work.

• User-Friendly Interface: The interface of PixLab Annotate 1.97 is intuitive and easy to navigate, making it accessible for both beginners and experienced users.

Why Choose PixLab Annotate 1.97?

PixLab Annotate 1.97 is more than just an annotation tool; it's a comprehensive solution designed to meet the needs of professionals in the field of machine learning and computer vision. Whether you're working on a small project or a large-scale enterprise task, PixLab Annotate 1.97 offers the reliability, efficiency, and accuracy you need.

Get Started Today!

Experience the power and convenience of PixLab Annotate 1.97 today. Visit PixLab Annotate to explore these new features and see how they can transform your image annotation tasks. Join the community of professionals who are already leveraging the benefits of PixLab Annotate in their projects.

• Project Home Page: pixlab.io/annotate
• Annotate Online Web Application: annotate.pixlab.io

Stay tuned for more updates and enhancements as we continue to evolve and improve PixLab Annotate to meet your needs.

Happy annotating!

Kuala Lumpur, Malaysia - In a significant industry recognition, PixLab's Document Scanner has been awarded the title of the top KYC ID Verification provider for MyKAD in Malaysia. This honor underscores the company's commitment to excellence and its continuous drive to provide the best identity verification solutions in the market.

PixLab's Document Scanner has set itself apart with its cutting-edge machine learning technology, user-friendly interface, and stringent data security measures. Businesses across Malaysia have lauded the product for its accuracy and efficiency, making it the go-to solution for KYC ID verification.

Why PixLab Stands Out

PixLab's Document Scanner has been recognized as the number one KYC ID Verification provider for MyKAD in Malaysia. This accolade is not just a testament to the product's superior technology but also its commitment to ensuring a seamless user experience.

• Advanced Technology: Leveraging state-of-the-art machine learning algorithms, PixLab offers unparalleled accuracy in scanning and verifying MyKAD documents. This ensures that businesses can trust the authenticity of the ID being presented, reducing the risk of fraud.
• User-Centric Design: Understanding the importance of a smooth user journey, PixLab has designed its scanner to be intuitive. This means quicker onboarding for customers and less friction in the verification process.
• Data Security: In today's world, data breaches are a growing concern. PixLab prioritizes user data security, ensuring that all scanned information is encrypted and stored securely.

Related Articles

To learn more about PixLab's DOCSCAN API endpoint and its comprehensive features, please refer to the following articles & code samples:

1. Passports, Travel Documents & ID Cards Scan API Endpoint Available.
2. Full Scan Support for Malaysia and Singapore ID Cards.
3. Scanning Malaysian ID Cards with PixLab API.
4. Memindai Kad Pengenalan Malaysia dengan API PixLab: Panduan Lengkap.

Code Samples

• Scan Malaysia ID Card (MyKAD) (PHP Code)
• Scan government issued ID card from Malaysia (MyKAD, MyKID), extract the user face and parse all fields (Python Code)
• Scan an international issued Passport document using the PixLab API. Extract the user's face and display all MRZ fields (PHP Code)
• Scan an international issued Passport document using the PixLab API. Extract the user's face and display all MRZ fields (Python Code)

Press Release

"We are immensely proud of this recognition," said Mrad Chams, CTO of PixLab. "It reaffirms our dedication to providing the best solutions to our users. We understand the critical role identity verification plays in today's digital landscape, and PixLab strive to offer a product that is both reliable and easy to use".

As PixLab continues to innovate, the industry and its users can expect even more advanced features and enhanced user experience in the future. With its eyes set on global expansion, PixLab is on a trajectory to redefine identity verification standards worldwide.

For more information about PixLab and its award-winning Document Scanner, please visit PixLab's website.

PixLab, a leading provider of Machine Vision is thrilled to unveil our latest creation: Tiny Dream. This header only, C++ library represents a significant leap forward in the realm of Stable Diffusion Inference, all neatly packaged into a C++ framework.

What is Tiny Dream 🔥

Tiny Dream is a header only, dependency free, partially uncensored, Stable Diffusion implementation written in C++ with primary focus on CPU efficiency, and smaller memory footprint. Tiny Dream runs reasonably fast on the average consumer hardware, require only 1.7 ~ 5.5 GB of RAM to execute, does not enforce Nvidia GPUs presence, and is designed to be embedded on larger codebases (host programs) with an easy to use C++ API. The possibilities are literally endless, or at least extend to the boundaries of Stable Diffusion's latent manifold.

Features 🔥

For the extensive list of features, please refer to the official documentation here.

• OpenCV Dependency Free: Only stb_image_write.h from the excellent stb single-header, public domain C library is required for saving images to disk.
• Smallest, Run-Time Memory Footprint for Running Stable Diffusion in Inference.
• Straightforward to Integrate on Existing Codebases: Just drop tinydream.hpp and stb_image_write.h on your source tree with the Pre-trained Models & Assets.
• Reasonably fast on Intel/AMD CPUs (Benchmarks): With TBB threading and SSE/AVX vectorization.
• Support Real-ESRGAN, A Super Resolution Network Upscaler.
• Full Support for Words Priority: Instruct the model to pay attention, and give higher priority to word (keywords) surrounded by parenthesis ().
• Support for Output Metadata: Link meta information to your output images such as copyright notice, comments, or any other meta data you would like to see linked to your image.
• Support for Stable Diffusion Extra Parameters: Adjust Seed resizing & Guidance Scale.

Documentation & Resources to Get Started 🔥

• Getting Started Guide
• C++ API Reference Guide
• Pre-Trained Models & Assets Downloads
• Licensing Tiny-Dream
• Future Project Roadmap

Dive Deeper with GitHub

For those eager to explore the intricacies of Tiny Dream, we've made the entire project available on GitHub. Dive into the code, explore its features, and join our community of contributors. Check out the project here: Tiny Dream on GitHub.

Related Projects 🔥

You may find useful the following production-ready projects developed & maintained by PixLab | Symisc Systems:

• SOD - An Embedded, Dependency-Free, Computer Vision C/C++ Library.
• FACEIO - Cross Browser, Passwordless Facial Authentication Framework.
• PixLab Annotate - Online Image Annotation, Labeling & Segmentation Tool.
• ASCII Art - Real-Time ASCII Art Rendering C Library.
• UnQLite - An Embedded, Transactional Key/Value Database Engine.

In Conclusion:

The release of Tiny Dream marks a pivotal moment for us. We believe in pushing the boundaries of what's possible, and with Tiny Dream, we're one step closer to redefining the future of Stable Diffusion inference. We invite you to join us on this exciting journey, explore Tiny Dream, and witness the future of C++ libraries.

Thank you for your continued support and enthusiasm. Here's to many more innovations ahead!

Stay tuned for more updates and announcements. Your feedback and contributions are always welcome!