Affectiva Facial Coding API
The Affectiva Facial Coding API provides you with an easy way of getting AI powered facial coding metrics for any video.
How it Works
No local installation. No complex setup.
Provide videos through a straight forward HTTP API
Get frame by frame expression data in your preferred format (JSON, CSV)
You only pay for what you use.
Key Features
- Effortless Integration: No need for complex setups. Simply upload your videos and get results in JSON or CSV format.
- Budget-Friendly: Save on costs without compromising on quality. Our API service is a cost effective way of getting started with facial coding AI.
- Scalable Solution: Perfect for businesses of all sizes. Handle multiple video uploads and receive quick, accurate results.
- Comprehensive Analysis: Detect a wide range of facial expressions and emotions, providing valuable insights for various applications.
- Instant Access: Start analyzing videos right away. Reduce the time to insights and make informed decisions faster.
- Trusted Technology: Powered by Affectivas’ leading facial coding technology, used in over 95k+ research projects.
Competitive Comparison
| Feature | Affectiva Facial Coding API | Microsoft Azure Face API | Amazon Rekognition |
|---|---|---|---|
| Facial Expression Coding | ✅ Detailed frame-level AUs | ❌ Basic emotion labels | ❌ Basic emotion labels |
| Multi-face Video Support | ✅ Built-in (via multiface) | ❌ | ✅ (but limited) |
| Developer Access via API | ✅ Curl/REST + Auth | ✅ | ✅ |
| Output Formats | ✅ JSON, CSV | ❌ JSON only | ❌ JSON only |
| Backed by Scientific Validation | ✅ Yes, AFFDEX engine | ❌ Not transparent | ❌ Not transparent |
| Real-Time/Batch | ✅ Batch (video) | ✅ Real-time | ✅ Real-time |
Key Advantage: Affectiva Facial Coding API sits between the over-simplified emotion classifiers (Azure, Rekognition) and complex, research-focused tools (AFFDEX), offering a validated, reliable, and developer-friendly solution for commercial and research use. See the Affectiva Facial Coding SDK for more advanced features and uses.
Why choose us?
- Powered by AFFDEX, used in 95k+ research projects
- Developed with scientific validation and real-world application in mind
- Built for developers, researchers, and ethical innovators
- Designed to meet AI compliance requirements
Ready to Transform
Your Engagement Analytics?
Discover how our API service can elevate your projects with ease and affordability.
Have Questions? Reach out to our support team for more information and get started with our API service today.
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Science Resources
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.
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2026 International Journal of Hospitality Management Gated Peer-Reviewed
Designing smart menus: A multi-method exploration of AI integration in hospitality guest experience and operations
Isenberg School of Management + 1 more
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2026 Behavioral Sciences Open Access Peer-Reviewed
Changes in Emotional and Vocal Expression in Job Interview Simulations with an AI-Enhanced Chatbot for University Students
Universidad Privada Boliviana
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2026 Scientific Data Open Access Peer-Reviewed
A Multimodal Dataset of Psychological, Physiological, and Behavioral Responses in Diverse Driving Scenarios
Hong Kong Polytechnic University
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2026 arXiv (Cornell University) Open Access Peer-Reviewed
Interpretable Multimodal Classification with Linear Discriminant Tree Ensembles
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2026 PLOS One Open Access Peer-Reviewed
Divergence between facial expressions and self-reported emotions: Sex differences in responses to video-based emotional stimuli
Korea Institute of Oriental Medicine + 1 more
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2026 SMU Scholar (Southern Methodist University) Open Access
The Impact of Abnormal Environmental Design on Player Tension in Horror Games
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2026 Journal of Nonverbal Behavior Open Access Peer-Reviewed
Facially Expressive People are More Popular in Newly Formed Groups: A Social Network Analysis
Nottingham Trent University
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2026 Scientific Reports Open Access Peer-Reviewed
Beyond Words: Associations between the Maternal Emotional Environment and Children’s Internalizing and Externalizing Symptoms
Cardiff University + 1 more
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2026 MDPI Brain Sciences Open Access Peer-Reviewed
Cognitive Behavioral Therapy Reduces Symptom Severity and Normalizes Neurophysiological and Attentional Reactivity in Anorexia Nervosa: A Randomized Controlled Trial
Beykoz University + 2 more
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2026 BUKETOV BUSINESS REVIEW Open Access Peer-Reviewed
How Emotional Dynamics are Associated with Advertising Recall: Evidence from Facial Expression Analysis in Young Consumers
Almaty Management University
