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Head-to-head · Emotion AI Software

Realeyes vs Py-Feat

  • Updated Oct 2026
  • Both researched from official sources
  • 3 checks side by side
Higher score Realeyes #3 in Emotion AI Software 8.6/10 Pricing on request ✓ 2 of 3 features Visit Realeyes
Py-Feat #8 in Emotion AI Software 7.8/10 Free plan Free plan✓ 1 of 3 features Visit Py-Feat

Realeyes leads on 1 check, Py-Feat on 0, and 2 are even. Who comes out ahead on the 3 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreRealeyes · 8.6/10
  • Free planonly Py-Feat
  • Most featuresRealeyes · 2 of 3

Realeyes scores higher on our rubric for emotion ai software: 8.6 against 7.8 out of 10; our editors rank them #3 and #8.

On deployment, Py-Feat gives you On-premise where Realeyes offers Cloud. Realeyes offers api access; Py-Feat doesn't.

Realeyes is the better fit for researchers measuring ad and audience response. Py-Feat is the better fit for researchers building facial-expression analysis workflows.

  • Realeyes fits best

    Researchers measuring ad and audience response

  • Py-Feat fits best

    Researchers building facial-expression analysis workflows

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Side by side

Feature Realeyes 8.6/10 Visit ↗ Py-Feat 7.8/10 Visit ↗
At a glance
Editor score 8.6 7.8
Ranking #3 in Emotion AI Software #8 in Emotion AI Software
Best for Researchers measuring ad and audience response Researchers building facial-expression analysis workflows
Pricing model Paid Free
Starting price Pricing on request Free plan
Free plan Not checked yet ✓ (best)
Free trial — —
Deployment Cloud Self-hosted, Desktop
Platforms Web Windows, macOS, Linux
Built for Mid-market, Enterprise Solo, Small business, Mid-market, Enterprise
Features Realeyes 2/3 · Py-Feat 1/3
Real-time analysis ✓ ✓
API access ✓ (best) —
Data retention control Not checked yet Not checked yet
Specs
Input modalities face, video images, video, webcam (Py-Feat Live)
Deployment Cloud On-premise
Supported languages Not checked yet Not checked yet
Our review
Pros
  • Tracks attention and facial-expression responses while viewers watch creative
  • Shows frame-level focus heatmaps and second-by-second response traces
  • Compares creative versions with benchmarks and optional brand-lift surveys
  • Analyzes Action Units, emotion categories, valence, and arousal
  • Includes gaze, head-pose, landmark, and 3D face-mesh outputs
  • Modular models and video-frame batching support varied workflows
Cons
  • Pricing requires contacting sales
  • The documented Emotion & Attention API is scheduled for retirement on September 30, 2026
  • Its focus on creative response may not suit broader emotion-analysis needs
  • Requires a Python package installation for the core toolbox
  • Core package has no API access
  • Some included models have non-commercial stipulations
Our verdict

Realeyes offers Human Measurement for advertisers and brands evaluating video and other creative. It combines audience-attention measurement with facial-expression analysis to show how viewers respond, making it a fit for research teams…

Read the review →

Py-Feat is a Python toolbox for researchers working with facial-expression data. It analyzes images and video for faces, expressions, Action Units, emotion categories, landmarks, gaze, and head pose. It also estimates continuous valence…

Read the review →
  1. RealeyesEmotion AI Software 8.6Pricing on request
  2. Py-FeatEmotion AI Software 7.8Free plan

Strengths and trade-offs

  • Realeyes — where it wins

    • Tracks attention and facial-expression responses while viewers watch creative
    • Shows frame-level focus heatmaps and second-by-second response traces
    • Compares creative versions with benchmarks and optional brand-lift surveys

    Where it doesn't

    • Pricing requires contacting sales
    • The documented Emotion & Attention API is scheduled for retirement on September 30, 2026
    • Its focus on creative response may not suit broader emotion-analysis needs
  • Py-Feat — where it wins

    • Analyzes Action Units, emotion categories, valence, and arousal
    • Includes gaze, head-pose, landmark, and 3D face-mesh outputs
    • Modular models and video-frame batching support varied workflows

    Where it doesn't

    • Requires a Python package installation for the core toolbox
    • Core package has no API access
    • Some included models have non-commercial stipulations
  • Realeyes8.6/10 · Pricing on request

    Creative testing pairs facial-response measures with time-based analysis and optional surveys.

    Visit RealeyesFull verdict →
  • Py-Feat7.8/10 · Free plan

    A research-focused toolkit for analyzing facial expressions in images and video locally.

    Visit Py-FeatFull verdict →

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update