Top 10 Emotion AI Tools Backed by Real-World Testing ['25]

Emotion AI tools can read voices, faces, and data to reveal how people feel, as well as they can create video and audio based on given prompt. We explore ten leading emotion AI tools and share our hands-on insights.

Affective computing tools comparison

Hume Expression Measurement

Hume Expression Measurement is an emotion AI tool that helps identify and measure human emotions. It works through a single API and uses four types of data: voice, images, video, and facial expressions. Together, these offer a deeper and more detailed look at how people express emotions.

Real-life experience

This emotion recognition software may not always be 100% accurate, but it captures emotional nuances effectively, especially through speech patterns. However, it’s not perfect. Sometimes, it may not detect basic emotion from vocal bursts. Still, the emotional results often feel realistic and nuanced.

Hume is best for users who want a detailed and responsive look at emotional behavior, not just simple labels like “happy” or “sad.” The web application for the emotion recognition software is extremely user-friendly.

Key features

• The software provides a real-time analysis for emotions, sentiment, and toxicity for a given text.

Figure 1. Hume Expression Measurement text analysis for emotions

Figure 2. Hume Expression Measurement text analysis for sentiment

For more information on sentiment analysis, check our sentiment analysis articles.

• This emotion recognition software also detects emotions from videos, images, and audio documents. Users might upload documents, or they may prefer to use their own camera and speakers for emotion detection.

Hume analyzes speech, images, and videos using several features:

• Facial expression: Detects facial movements to understand facial emotions like joy, anger, or sadness.
• Vocal burst: Measures how someone sounds, whether calm, excited, stressed, etc.
• Speech prosody: Tracks changes in tone, pitch, and rhythm. This helps identify the emotional tone of what someone is saying.

Figure 3. Hume Expression Measurement video analysis for speech prosody

Mangold Observation Studio

Mangold Observation Studio is a comprehensive platform designed for advanced, sensor-driven research. It brings together many data sources, video, audio, facial expressions, physiological signals, and more, into one synchronized system.

Key features

• Video and screen recording: Captures participants’ behavior and screen activity for full context.
• Sensor integration: Supports EEG, eye tracking, heart rate, skin response, and muscle activity.
• Speech analysis: Converts spoken words into text automatically.
• Surveys and annotations: Add participant feedback or tag key moments during sessions.
• Multimodal design: Unlike tools that only focus on one data type (like facial expression), Mangold combines over 120 sensor types in one platform.
• Scalable setup: Supports unlimited participants and devices at once, with time-synced recordings.
• Full network control: All devices can be managed from a central station.
• Modular and customizable: Researchers can build their own setup and integrate with external tools using an API.

Visage SDK

Visage SDK is a facial emotion recognition software that helps businesses track and analyze faces in real-time. It uses advanced computer vision to understand people’s emotions, age, gender, and identity.

Key features

• Online & offline support: Works both online (in the cloud) and offline (on your device), so you’re not always dependent on an internet connection.
• Privacy-first: Ensures that no personal data, like names or photos, is stored or processed without your consent.
• Unity integration: Integrates with Unity for creating face filters or interactive experiences in games.

Applications

• Virtual try-ons: Use face recognition to let customers try on glasses, makeup, or other products virtually.
• Driver monitoring: Detect unsafe driving behavior, such as drowsiness or distraction, to enhance road safety.
• Passenger monitoring: Track passengers’ well-being in cars or public transportation to improve safety and comfort.
• Augmented reality (AR): Create fun, engaging experiences like beautification filters or realistic face masks for social media or apps.

Imentiv AI

Imentiv AI is an emotion detection software that helps users understand how people feel, speak, and behave in video, audio, and text content. It combines artificial intelligence with psychological expertise to analyze human emotion and personality in real time.

Real-life experience:

Imentiv AI helps users analyze emotions from video content. You can upload a full video or focus on a specific frame. The tool looks at facial expressions, voice tone, and the transcript to understand emotional cues.

The analysis seems accurate and covers a wide range of emotional signals. In addition to basic insights, the platform also offers psychological evaluations. These can be scheduled through an appointment system.

Figure 4. Imentiv AI personality trait analysis

Key features

• Multimodal analysis: Analyzes video, audio, and text together. This gives a fuller picture of emotional reactions.
• Face and voice tracking: Detects multiple faces in each video frame. Matches voices to faces or analyzes them separately. Shows which person is speaking and when.
• Emotion graph: Shows real-time facial emotions on a dynamic circular graph. The Emotion Wheel gives a clear visual of how emotions change over time.
• Personality trait analysis: Uses the OCEAN model (Openness, Conscientiousness, Extraversion, Agreeableness, Neuroticism) to summarize the personality traits of people in the video. Results are shown as a simple color-coded bar chart.
• Psychologist review: Trained psychologists review the AI results to find hidden biases and emotional triggers. This adds valuable insight to AI analysis.

RightFlow

RightFlow is an emotion AI tool that analyzes facial expressions to understand how people feel during their experience with a brand. It helps businesses capture emotions like happiness, anger, fear, or surprise to improve marketing, customer service, and product design.

Key features

• Hot zone detection: Identifies where people spend time and what grabs attention.
• People count: Tracks how many people interact with a space or product.
• Demographic analysis: Captures age and gender to understand audience differences.
• Attention analysis: Measures head and eye movement to learn what customers focus on.

Unlike tools focused only on emotion detection, RightFlow combines emotion data with customer counting, demographic tracking, and physical safety features. It’s designed for public spaces, stores, or events where real-time, contact-free analysis matters.

MoodMe Face AI Emotion Detection Engine

MoodMe’s Face AI Engine is a tool that reads facial expressions to detect emotions in real time. It works directly on the user’s device, with no internet connection or cloud processing needed.

Key features

• Demographic detection: The engine can estimate gender, age, ethnicity, and hair type. This helps apps better understand who is interacting with them.
• Face matching: MoodMe includes a built-in tool for face identification. It can match a face to stored templates locally for secure identity checks.
• Unbiased and inclusive: The AI is trained on diverse data to avoid favoring any group. This ensures fairer results across different faces and expressions.
• Privacy-first: All processing happens on the user’s device. Faces are never stored or sent to the cloud. This protects privacy and meets strict data regulations.

MorphCast MyMoodScan

MyMoodScan is a free web emotion detection app by MorphCast that analyzes facial expressions to uncover hidden emotions. You can upload a photo or use your device’s camera to see real-time emotional feedback.

Real-life experience:

The app is enjoyable but not always accurate. Sometimes it mislabels emotions such that happy faces might be tagged as apathetic or longing, and disgusted expressions might show as surprised. Still, it’s a lighthearted way to start thinking about the complexity of human emotions.

In short, MyMoodScan stands out for its real-time, social-friendly approach to emotion detection, even if the results can be a bit playful rather than precise.

Figure 5. MorphCast MyMoodScan emotional analysis of an image

Key features

• Free and Easy to Use: No ads, no fees, just instant emotional insights.
• Playful and Social: Designed for sharing emotions on social media and sparking conversations.

Hume Empathic Voice Interface (EVI)

Hume’s Empathic Voice Interface (EVI) is a speech-to-speech AI system that makes conversations sound more human. It lets users create, clone, and control voices that respond in real-time with emotion and personality.

Real-life experience

In tests, conversations with EVI felt lifelike and engaging. Emotion detection worked well. Users could guide the tone and setting, although this feature didn’t always perform perfectly.

In short, Hume’s Empathic Voice Interface combines fast response, emotional depth, and high control, making conversations with AI sound closer to real human interaction. The web interface of the conversation platform is simple and intuitive to use.

Figure 6. Hume EVI analysis of conversation with AI

Key features

• Custom voice: Supports over 100,000 custom voices, each with unique traits. You can even create voices like a “calming British matriarch” or an “excited Caribbean musician” just by typing a prompt.
• Clone a voice: Upload an audio sample to create a digital version of your own voice.
• Real-time conversations: Responds in about 300 milliseconds, about as fast as a human.

Hume Octave

Hume Octave is a voice-based language model that understands the meaning behind words. The company claims that it helps to create conversation with better emotion, rhythm, and tone.

Real-life experience

Octave often found the right voice for a prompt. It helped improve voice descriptions and matched tones well. However, the final voice sometimes sounded flat or artificial, like a weak acting performance. Still, the tool showed strong potential in capturing different speaking styles.

In short, Hume Octave brings meaning to voice. It helps users create more lifelike, expressive speech that fits both the words and the moment and it is very easy to use.

Key features

• Low latency: Starts speaking in just 200 milliseconds with Instant Mode, .
• Custom voices: Create voices from scratch, use your own voice, or pick from many pre-made options.
• Expression control: Add acting-style instructions to shape how the voice delivers each line.
• Unique Voices: With a simple prompt, build voices like a “sarcastic medieval peasant” or “calm science teacher.”

Revoicer

Revoicer is an AI-powered text-to-speech software with emotion recognition technology that turns written text into realistic voiceovers. It claims to create audio content with emotional tones that sound more human and less emotion AI technology.

Key features

• Emotional voices: Revoicer can speak in tones such as cheerful, sad, angry, friendly, whispering, or excited.
• Wide language support: It works in English and over 40 other languages, including French, German, Arabic, and Mandarin.
• Custom options: Users can change the voice’s pitch, speed, and tone. They can also add pauses or emphasize specific words.
• Many voices: The tool offers more than 80 voices, including male, female, and child voices. Users can also choose from different English accents like American, British, Australian, or Indian.

Evaluation criteria

To evaluate each Emotion AI tool fairly, we used the same set of criteria across all platforms. These include:

• Accuracy of emotion detection: How well the tool identifies emotions such as happiness, anger, or surprise from facial expressions, voice, or text.
• Multi-modal capabilities: Whether the tool can analyze multiple input types (e.g., video, audio, text) together or separately.
• Ease of use: How intuitive the interface is for non-technical users, including setup and everyday use.
• Real-time feedback: Whether the platform can provide instant insights during live interactions or recordings.
• Depth of insights: Quality and detail of the emotion analytics, including behavioral patterns, attention tracking, and demographic breakdowns.

Further readings

• Affective Computing: In-Depth Guide to Emotion AI
• Affective Computing Applications: Emotion AI Use Cases
• Emotional AI Examples & Use Cases