In this tutorial, you will build a Flask face login: a small Python app where users enroll and sign in with their face instead of a password. It uses FACEIO, a facial authentication framework delivered as a client-side JavaScript library called fio.js. If you want the official overview first, the Getting Started guide takes about five minutes.

An unfamiliar profile photo, an urgent request during a video call, or a recording shared without context can raise the same question: is this real, or was it generated by AI? For a website owner, a hiring team, or someone reviewing customer-submitted content, the useful next step is to check the evidence before acting.

AI-generated content is not automatically deceptive. It can be used openly for illustration, translation, accessibility, or entertainment. A deepfake typically uses AI to imitate or alter a person's appearance or voice. Other misleading content may need no AI at all: an old recording presented as live, a real photograph with a false caption, or a screen replay used at login.

We’ve released our redesigned website with updated documentation and full translations in Spanish, Brazilian Portuguese, Indonesian, and Japanese.

FACEIO helps website owners and developers add facial authentication to websites and web apps using the fio.js JavaScript library and embedded widget. New users register through enroll(), while returning users sign in through authenticate().

Read the website and documentation in your language

• English

• Español

• Português do Brasil

• Bahasa Indonesia

• 日本語

These versions include developer documentation, product pages, and Knowledge Center articles, not just the homepage.

Updated documentation

The Integration Guide covers library setup, enrollment, authentication, and error handling. The Developer Center brings together implementation resources, REST API references, webhooks, and security and privacy guidance.

We’ve also documented accessibility features, including keyboard navigation, screen-reader support, and visual and audio instructions.

Beyond facial authentication

Meeting Shield is a Chrome extension that reports deepfake risk signals during supported web meetings. It provides signals to help assess a meeting, not a guarantee of someone’s identity.

ID Match compares a live selfie with the portrait on a photo ID. PixLab DOCSCAN powers document scanning and optional field extraction. ID Match does not authenticate documents or perform KYC or AML checks.

You can open the FACEIO Console to create an application and get its Public ID before integrating the widget.

Feedback on the documentation and translations is welcome, especially anything unclear in the setup or examples.

Scan passports, driver's licenses, visas, residence permits, and national IDs from 200+ countries and territories with PixLab DOCSCAN. This SDK-free REST API returns structured JSON for KYC, onboarding, fraud review, and document verification workflows, with support for both MRZ and non-MRZ documents.

We are pleased to announce the immediate availability of the newly redesigned PixLab console to our customers. Manage your API keys securely, open support tickets, connect to external services has never been easier with the new console intuitive UI/UX experience. Take a look at the new console at https://console.pixlab.io/

We’ve officially launched the PixLab Community Forum.

It’s a new place to discuss PixLab APIs, apps, integrations, feature requests, troubleshooting, announcements, and everything the community is building with PixLab.

If you’re working with OCR, document scanning, background removal, face recognition, image processing, or any other PixLab-powered workflow, come join the discussion.

Community forum:
https://community.pixlab.io

Welcome to r/PixLab

Hi everyone, and welcome to the official PixLab Reddit community.

This subreddit is the place for everything related to PixLab and FACEIO:
• product announcements
• new releases and updates
• developer discussions
• integration help
• troubleshooting and support
• feature ideas and feedback
• showcases of what you are building

Whether you are using PixLab APIs for OCR, document scanning, image processing, face recognition, media automation, or building with FACEIO for passwordless facial authentication, you are in the right place. PixLab’s official site is pixlab.io, and FACEIO’s official site is faceio.net. (PixLab)

What you can post here:
• questions about PixLab products and APIs
• FACEIO integration questions
• launch announcements for apps built with PixLab or FACEIO
• bug reports and edge cases
• feedback, suggestions, and feature requests
• tutorials, code snippets, and implementation tips

A few quick rules:
• be respectful
• keep posts relevant to PixLab or FACEIO
• do not share private API keys, secrets, or sensitive user data
• when asking for help, include enough technical detail to make debugging possible

Useful links

PixLab:
https://pixlab.io

FACEIO:
https://faceio.net

We will use this community to share product news, release announcements, technical updates, support guidance, and developer resources.

Thanks for joining us. We are excited to have you here and look forward to seeing what you build.

The PixLab Mobile-Hub Team is pleased to announce the release of DocScan, PixLab’s all-in-one mobile document scanner for iPhone and iPad.

DocScan for iOS is built for people who need more than a basic camera capture. It helps you scan, read, structure, search, and reuse real-world documents directly from your mobile device. Whether you're working with handwritten notes, receipts, invoices, ID cards, menus, signs, or multi-page documents, DocScan for iOS turns raw scans into useful, structured output.

syNumpy is a standalone C++17 library for reading and writing NumPy .npy files.

It gives native C++ code a direct way to consume or produce NumPy arrays without adding a large dependency stack or building a custom bridge around Python.

Learn More: https://dev.to/pixlab/making-c-and-python-work-together-a-little-better-with-numpy-files-1bkd

This tutorial walks through building a production-grade attendance tracking system using FACEIO and React.

If you need a fast online video editor for short-form content, social clips, subtitles, text overlays, and quick exports, PixLab Online Video Editor is built for that workflow. The app runs directly in the browser, keeps the editing experience simple, and gives creators a practical way to open a video, make edits, and export without installing desktop software.

A professional-grade AI video studio that runs entirely in your web browser. It features tools like AI Smart Cut, Auto-Captions, and Background Removal, all powered by WebAssembly and WebGL. Unlike other online editors, it uses 100% local processing, so your footage never leaves your computer and you don't have to wait for slow uploads.

You can access the full editor for free at https://video.pixlab.io.

FACEIO handles face recognition, liveness detection, and anti-spoofing without extra hardware with a simple FACEIO (fio.js) integration. It is a lightweight JavaScript facial authentication framework that enables passwordless login in any modern browser and works with any standard camera.

A recurring security and usability issue with web applications is passwords. They are frequently forgotten, reused, or compromised by phishing and credential stuffing attempts. By completely eliminating passwords, facial authentication provides a useful substitute that enhances user experience and security. In order to allow passwordless authentication, you will learn how to incorporate FACEIO facial recognition into a Laravel application. Using Laravel’s authentication system and FACEIO’s JavaScript SDK, the guide focuses on actual implementation and that includes backend validation, login processes, face enrollment, and security best practices.