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Description
OculiX is a Java-based visual automation platform designed for enterprise QA teams and RPA practitioners who need reliable, vendor-independent tooling. It automates any application by interpreting what appears on the user's screen: click, type, wait, verify, extract text, without requiring the target application to expose an API or provide accessibility hooks. This makes OculiX effective against legacy systems, mainframes, virtualized industrial HMIs, remote desktops, and any interface where traditional automation frameworks cannot reach.
Unlike proprietary commercial alternatives (Applitools, Ranorex, TestComplete, Eggplant), OculiX is fully open source under the MIT license, deployable on-premises with zero cloud dependency and zero per-seat licensing cost. The distribution includes image recognition via OpenCV, OCR via a bundled Tesseract runtime that requires no separate installation, a Swing IDE with a modern recorder, a Java API for embedding into JUnit, TestNG, and Katalon pipelines, and Model Context Protocol servers for LLM-driven test agents. Runs on Windows, macOS (Intel + Apple Silicon), and Linux (x86-64 + aarch64).
Deployed in production at Neo4j, Siemens, Johnson & Johnson, IBM, General Motors, Synopsys, Zscaler, TELUS, and over 150 additional organizations across regulated industries. Descends from the SikuliX project (2010) and its original research foundation Sikuli (MIT UIST 2009). Actively maintained with a public roadmap and community-driven issue tracking.
Description
OpenFaceTracker is a facial recognition application designed to recognize one or more faces in images or videos by using a database for identification. To run OpenFaceTracker, your system must have OpenCV 3.2 and QT4 installed; you can either compile the libraries manually by following build_oft or install OpenCV and QT through your preferred package manager. You have the option to compile OpenFaceTracker either as a library or as a standalone executable. Once compiled, you can open the resulting file to utilize the detection and recognition features, display help and exit options, list all available cameras, test the XML database, read the configuration settings, and verify environmental parameters. OpenFaceTrackerLib is built on OpenCV 3.2, which has brought numerous new algorithms and enhancements compared to version 2.4, with several modules being restructured and rewritten. While most algorithms from version 2.4 remain available, the interfaces may vary, necessitating users to familiarize themselves with the changes. Ultimately, OpenFaceTracker offers a versatile solution for facial recognition tasks across various platforms.
API Access
Has API
API Access
Has API
Integrations
Apache Groovy
Apache Maven
Gradle
JUnit
Java
JavaScript
Katalon Studio
Kotlin
Model Context Protocol (MCP)
OpenCV
Integrations
Apache Groovy
Apache Maven
Gradle
JUnit
Java
JavaScript
Katalon Studio
Kotlin
Model Context Protocol (MCP)
OpenCV
Pricing Details
Free
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
OculiX
Founded
2026
Country
France
Website
oculix.org
Vendor Details
Company Name
OpenFaceTracker
Founded
2017
Website
www.openfacetracker.net
Product Features
Robotic Process Automation (RPA)
Analytics
Attended Automation
Code-free Development
Image Recognition
Optical Character Recognition
Process Builder
Third Party Application Integration
Unattended Automation
