Affectiva SDK
Incorporate Real-Time Emotion Sensing In Digital Experiences and Applications
*Free 2-week trial with no obligations.
Develop Emotion Sensing Solutions with Affectiva SDK
Affectiva SDK is the industry-leading solution for real-time facial expression analysis, enabling businesses, researchers, and developers to decode human emotions with precision. Leveraging deep learning models trained on thousands of diverse participants, Affectiva SDK provides highly accurate emotion detection, outperforming competitors in real-world conditions.
Whether you’re conducting ad testing, user experience research, driver monitoring, or healthcare studies, Affectiva SDK delivers scalable, cross-platform Facial Coding AI that integrates seamlessly into your workflow.

Comprehensive Data Set
19M
Faces
10B
Facial Frames
90
Countries Represented
What it can do

Facial Expression Analysis from any video source

Embed into your own application

Detect and analyze multiple faces simultaneously

Speaker detection for video conferences

Real-time and post-processing options

Mobile Supported with native Android SDK
Why Choose The Affectiva SDK Over Competitors?
🔹 NEW! Android SDK – Affectiva SDK now supports Android natively and brings the 5.x model to Android. This opens up for a wide range of new applications and enables full privacy and zero server bills as all compute happens at edge on the users device.
🔹 NEW! Pain and Yawn metrics – The Pain metric detects distinct, objective facial expressions of pain/discomfort, which can be used to explore “cringe” and “hard-to-watch” moments in dramatic or provocative content. The Yawn metric provides real-time tracking of 29 facial signals to isolate jaw and mouth movements, ideal for detecting fatigue, boredom, or drops in attention.
Who Uses Affectiva SDK?

Marketing and Advertising
Optimize ad engagement, emotional impact, and brand perception with emotion- driven insights.

User Experience & HCI Research
Enhance digital experiences by understanding user frustration, satisfaction, and engagement.

Automotive & Driver Monitoring
Detect driver drowsiness, distraction, and emotional states for safer road experiences.

Healthcare & Mental Health Applications
Support patient diagnostics, therapy monitoring, and psychological research with facial expression analysis.

Academic & AI Research
Train machine learning models with robust facial expression datasets, improving AI-human interaction capabilities.











Get Started with Affectiva SDK
Ready to integrate real-time facial expression analysis into your projects? Contact iMotions today to discuss licensing options, integration support, and custom solutions tailored to your needs.
Science Ressources
Technical Requirements and License Options
Platform support
Android
WASM (Web Assembly)
Windows 10 (x86) with Visual Studio 2019
Ubuntu 24.04lts x86_64 with GCC 13.2
Hardware
There are no special requirements for processing power or a GPU,
A RGB video source (minimum 640×480 resolution).
Licenses
Commercial and development license adapted to your use case.
Academic license with attractive pricing for annual renewals.
Please contact us for a free evaluation trial.
Related Solutions
Affectiva Facial Coding API
Looking to batch process videos? Then the Facial Coding API is a cost effective and easy solution where you only pay for the minutes you use.
Affectiva Media Analytics
Optimize content and media spend by measuring consumer emotional responses to videos, ads, movies and TV shows – unobtrusively and at scale.
iMotions Lab
Combine Facial Expression Analysis with eye tracking, EEG or EDA for multimodal human behavior research.
Affectiva Facial Coding AI in academic research
Affectiva’s facial coding AI is widely used in academic research, and is regarded as the gold standard for automated facial coding.
- 2026 The Influence of Tutor Engagement, Attention, and Positive Emotions on Student Achievement
- 2026 Characterizing multidimensional facial synchrony for relationship quality detection
- 2026 Designing smart menus: A multi-method exploration of AI integration in hospitality guest experience and operations
- 2026 The Face of Trypophobia: An Exploratory Analysis of Facial Expressions in Response to Trypophobic Objects
- 2026 Technostress-Aware Integrated Development Environments (TIDEs): A dataset for exploring technostress during programming
- An Integrated AI Framework for Depression Detection Using Audio, Visual and Textual Data
- 2026 Changes in Emotional and Vocal Expression in Job Interview Simulations with an AI-Enhanced Chatbot for University Students
- 2026 Changes in Emotional and Vocal Expression in Job Interview Simulations with an AI-Enhanced Chatbot for University Students
- 2026 Facial morphology-based autism screening during attention assessment tasks: A dual-branch deep learning approach
- 2026 A Multimodal Dataset of Psychological, Physiological, and Behavioral Responses in Diverse Driving Scenarios
Explore AI-driven Emotion Recognition
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AI-Driven Emotion Recognition 101: All About Emotion Detection and Affectiva’s Emotion Metrics
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What Drives Affectiva’s Facial Expression Analysis Tools? The World’s Largest Emotional Database!
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The Role of Attention and Engagement in Creative Effectiveness
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Deadpool & Wolverine – Balancing on the Emotional Edge with Facial Coding





