AI-powered perspective

Unlock human insights

FaceReader Online combines Responsible AI with Consumer Neuroscience, enabling advertising, market research and UX design professionals to boost the effectiveness of their content and strategies through insights from human behavioral patterns.
Developed for over two decades, our technology pioneered its domain and remains a front runner for human behavior analysis.
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Years of development
Originating from the Netherlands, our user base has expanded globally, now spanning every continent and including users from 96 different countries.
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Countries worldwide
Our technology is distinguished by over 1,200 scientific publications, establishing it as the most frequently cited in its field.
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Scientific publications
Our clientele has leveraged our technology to meticulously analyze an impressive volume exceeding 98 billion frames of facial data.
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Frames analyzed
With a 98% accuracy rate, our solution stands out as one of the leading technologies in its field, demonstrating our commitment to providing effective and reliable solutions.
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Percent accuracy
Use cases

AI potential in 3 different domains

Maximize impact, conversion and efficiency. FaceReader Online offers in-depth behavioral insights for academics and professionals eager to leverage AI in advertising, market research and user experience.
FaceReader

Discover the FaceReader ecosystem

In the early 2000’s FaceReader 1.0 pioneered the field and set the standard for automatic facial expression analysis. Today, the FaceReader ecosystem, including a desktop version, online platform, and SDK, continues to stay on the cutting-edge of Consumer Neuroscience and Responsible AI.
				
					
 string sdkKey = "<your-sdk-key>"; string appId = "<your-app-id>";
 
 // create an instance of the FaceReaderSDK
 FaceReaderSDK faceReaderSDK = new FaceReaderSDK(sdkKey, appId);

 // initialize
 faceReaderSDK.CustomExpressions.Add(
    new CustomExpression(CustomExpression.CustomExpressionType.Interest)
 );
 faceReaderSDK.CustomExpressions.Add(
    new CustomExpression(CustomExpression.CustomExpressionType.Boredom)
 );
 
 // load a bitmap from where ever you want
 Bitmap bitmap = new Bitmap("your image source");
 
 // analyze the face in the image
 FaceReaderResult result = faceReaderSDK.AnalyzeFace(bitmap);
 
 return result.ToJson();
				
			
				
					{
  "FaceAnalyzed": true,
  "FacialExpressions": {
    "DominantBasicEmotion": "Angry",
    "BasicEmotionValues": [
      0.029624, // neutral
      0.018300, // happy
      0.008764, // sad
      0.946046, // angry
      0.039090, // surpised
      0.053214, // scared
      0.000700  // disgusted
    ],
    "Valence": -0.9460461,
    "Arousal": 0.99
  },
  "Characteristics": {
    "Gender": "Male",
    "Age": 33,
    "Glasses": "No"
  },
  "FaceCorners": [
    {
      "X": 528.50977,
      "Y": 165.03615
    },
    {
      "X": 299.27942,
      "Y": 189.80812
    },
    {
      "X": 325.28998,
      "Y": 430.5
    },
    {
      "X": 554.5203,
      "Y": 405.72803
    }
  ],
  "ActionUnits": {
    "ActionUnitIntensities": [
      0.047187127,
      2.0721927E-08,
      0.99999,
      0.24229,
      0.06943704,
      0.99999,
      0.17007,
      0.046259128,
      0.047250014,
      0.05045767,
      0.27155,
      0.99999,
      0.02961228,
      0.05123812,
      0.99999,
      0.37838,
      0.035374817,
      0.09164867,
      0.050165165,
      0.052099373
    ]
  },
  "CustomExpressions": [
    {
      "Name": "Interest",
      "Intensity": 0.8,
      "IsCalculated": true
    },
    {
      "Name": "Boredom",
      "Intensity": 0.1,
      "IsCalculated": true
    }
  ],
  "ModelQuality": 0.6926503,
  "HeadOrientation": [
    3.8984787,
    1.2746145,
    -4.76357
  ]
}
				
			

Trusted by the world's best companies

As the world’s first Facial Coding platform, which has been developed for over 20 years, we are trusted by some of the world’s prestigious brands and organizations.
research
Scientific solution

#1 most cited and firmly
embedded in science

1,200+ scientific publications says it all. FaceReader is the obvious choice when looking for a science-backed solution. Our team of PhDs and doctoral candidates participate in research projects with institutions like the Delft University of Technology with a goal to position our work at the pinnacle of excellence. It’s why our platform has been adopted by academic institutions worldwide, highlighting its role in research-focused environments. Explore our scientific framework today.
Responsible AI

GDPR compliant +
governed by responsible values

GDPR compliance is only the start. Privacy is at the core of our solutions with stringent policies and oversight that not only meet but exceed the requirements of the GDPR. We view compliance not as an endpoint but as a foundation upon which we build. Our work is directed by a set of deeply held responsible values, extending our commitment to privacy, security, and ethical considerations beyond the regulatory baseline.
We are always in close contact with the users of our products by means of structured surveys or interviews to assess their wishes. We also contribute to societal relevant projects, which helps participants become aware of the kind of data technology can gather from them.

Human-centric

We design technology that works for people, not against them
People with a darker skin color are underrepresented in many datasets, which often leads to lower classification performance. We try to mitigate this by balancing the composition of our training data and continuously testing our software against benchmark datasets (e.g. Gender Shades). This way we strive to have the same high level of accuracy for different groups of people.

Fair

Our algorithms are fair with minimal bias​
We incorporate a Privacy by Design approach in our products and we always respect participants' privacy in the datasets we use. For example, in FaceReader Online, our clients sign a processing agreement and participants are required to give informed consent before participating. Additionally, we have the option not to store video recordings, but only anonymous metadata.

Privacy friendly

Privacy protection is embedded in the design of our technology​
Our algorithms are not a black box and we have tools and documentation in place to explain our results to our users. As an R&D company, we frequently publish about our new technology, providing transparency into the functioning of our algorithms.

Transparent

Our algorithms and motives are overtly explainable​
We have security protocols in place to make sure our stakeholders' data is safe with us. For example, all communications with our database servers happen through an encrypted connection.

Secure

We safeguard all data entrusted with us​
Our technology does well in quality assessment tests (e.g. Stockli et al, 2017). We spend a lot of effort in updating our algorithms and label new developments that are not completely validated yet as experimental.

Competent

We design technology according to up-to-date standards​
Case studies

Join thousands of satisfied customers

Curious about how FaceReader Online can enhance your organization’s insights? Delve into a selection of compelling case studies that showcase the transformative neuroscientific insights achieved with FaceReader Online. Discover how our tool can unlock competitive advantages, budget savings and new dimensions of understanding in your field.
Patryk Wawrzynski

Patryk Wawrzyński

CEO at Alpaka Innovations

Working with FaceReader Online completely changed my perspective. I can now handle more clients in a shorter amount of time and it changed my life and business!

Michal Štěpánek

Executive Director at Ipsos

The outstanding advantages of FaceReader Online are the fast availability of results, technical implementation support, affordable price and great communication. More important today, Ipsos needs to be a game changer, not just a data supplier to its clients.
Monica Gonzalez

Monica Gonzalez

Researcher at Anáhuac University

When I started the FaceReader Online trial, I saw the dashboards and it was exactly what I was looking for. I was getting all the metrics I needed in my research.
3 steps to

Get started

Getting started has never been this easy. With just two clicks, you can begin exploring FaceReader Online firsthand. Experience the ease of access and start unlocking valuable insights today.

Free trial / demo

Click anywhere on this page to request your free FaceReader Online trial
Concierge onboarding is a high-touch personal service designed to minimize the time it takes new users to learn a product, thereby accelerating time to value.

Concierge onboarding

If you’re ready to move forward, our team will execute your full onboarding.

Execute your campaign

DIY, full-service or a hybrid, you’ll get everything you need to execute.
Use our platform

Three paths
Endless possibilities

We understand you’re busy. It’s why we offer three ways to get started. Need a 100% customized solution? Our team can bring that to life, too.

Do it yourself

For businesses that want to leverage FaceReader with current survey tools and combine Facial Coding using a DIY model after we help you get set up and running.

Full-service

For businesses that want full-service campaign setup, organization, execution and interpreted results delivered. Tell us what you need, we’ll take care of everything else.

Hybrid

Our team sets up, runs and executes your first campaign to help your team integrate Facial Coding. During the process, we’ll teach you to do it yourself.

Blog

Don't miss our updates

Get news, updates and developments about our AI-centered platform.
FaceReader
November 29, 2024
To understand and interpret human behavior, FaceReader Online relies on the powerful FaceReader engine. Read more about its recognition accuracy, and discover a unique strength in categorizing neutral faces.
Eye-tracking
October 25, 2024
Gen Z is an important market segment. Therefore, understanding what captures their interest is crucial for marketers who want to design effective ads. Read more on how to approach this using attention measurement in this research project.
Stories
September 23, 2024
Everyone wants to create engaging content and know if people are engaged. This study sought to better understand how people emotionally, cognitively, and behaviorally interact with movie trailers using both self-reported and implicit measures.
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