Understand What Your Pet Is Really Feeling
Instant multi-modal emotion classification, acoustic vocal analysis (barks, meows, whines), and body language translation from photos, audio, and video in seconds.
Golden Retriever · Playful & High Engagement
Analyze Pet Emotion & Sound
Select a verified evaluation preset or upload your own companion pet photo or audio recording.
Select an evaluation case to test without uploading your own file:
Designed for Responsible Pet Care
High-resolution multi-modal vision and acoustic intelligence working in harmony.
Vocal Pitch & Sound Translation
Decodes subtle frequency changes in barks, meows, whines, and purrs to detect distress, excitement, boredom, or territorial alertness.
Body Language & Posture Vision
Scans ear angles, pupil dilation, tail elevation, spine curvature, and stance tension to identify what your pet cannot verbalize.
Stress & Pain Early Detection
Provides objective 0-100% stress and discomfort scores so pet parents can adjust surroundings before distress worsens.
How PetEmotion Works
Three seamless steps from phone capture to veterinary-safe action.
Capture or Record
Snap a photo of your pet, record 3-10 seconds of vocal sound, or choose a one-click sample evaluation preset.
Sensifai AI Reasoning
Our specialized multi-modal engine extracts acoustic frequencies and postural signals with zero biometric retention.
Actionable Guidance
Receive immediate behavioral classification, stress & pain telemetry, and 3 practical caregiver action steps.
Simple, Transparent Pricing
Pay only for what you analyze with Sensifai prepaid credits.
Prepaid wallet metering via Sensifai Gatekeeper
- Full Multi-modal Photo & Video Analysis
- Acoustic Frequency & Vocal Pattern Translation
- Stress Index & Discomfort Scorecards
- REST API & Webhook Integration
- No Monthly Subscription Lock-in
Developer REST API
Integrate PetEmotion into veterinary portals, pet boarding apps, or smart collars.
curl -X POST https://petemotion.sensifai.com/v1/petemotion/analyze \ -H "X-API-Key: $YOUR_SENSIFAI_API_KEY" \ -F "file=@dog_bark.wav" \ -F "lang=en"
{
"id": "pet_1729000000_a1b2",
"app_id": "petemotion",
"breed": "Golden Retriever",
"emotion": "Joyful & Playful",
"confidence": 96,
"vocal_analysis": {
"detected": true,
"pitch_frequency_hz": 740,
"pattern": "Short staccato bursts"
},
"stress_index": { "level": "Low", "score": 8 },
"actions": ["Engage with toy", "Reinforce with praise"]
}