Enterprise-Grade Speech Emotion Recognition API
Detect emotion from voice, not just words.
Detect emotion from voice with high precision. FacialProof’s Speech Emotion Recognition API analyzes tone, pitch, prosody, and vocal stress to reveal real human sentiment in real time or from recorded audio, without relying on transcripts alone.
👁️ Facial Recognition
Detect faces in real-time using your camera
Reference
Results
{
"success": true,
"faces_detected": 3,
"faces": [
{
"id": 1,
"confidence": 0.95,
"bounding_box": {"x": 150, "y": 200, "width": 300, "height": 350},
"age": "27-29 years old",
"emotion": "Happy",
"gender": "Female"
},
{
"id": 2,
"confidence": 0.92,
"bounding_box": {"x": 500, "y": 180, "width": 280, "height": 320},
"age": "25-27 years old",
"emotion": "Neutral",
"gender": "Male"
},
{
"id": 3,
"confidence": 0.88,
"bounding_box": {"x": 800, "y": 250, "width": 200, "height": 250},
"age": "6-8 years old",
"emotion": "Happy",
"gender": "Male"
}
]
}
Live Camera
ID Document
🎭 Facial Emotion Recognition
Upload an image or use real-time camera for face shape analysis using advanced AI
Face Shape
Personal Attributes
Face Measurements
Detection Info
🎤 Advanced Voice Emotion Detector
AI-Powered Real-Time Emotion Analysis
Real-time and batch audio processing • Built for call centers, AI voice agents, and analytics platforms
Turn Voice Signals into Actionable Emotional Intelligence
Words don’t tell the full story. FacialProof converts raw speech signals into structured emotional data your systems can act on instantly. from live conversations to large-scale audio archives.
Real-Time Voice Emotion Analysis
Analyze live audio streams with sub-50ms latency. Detect emotional shifts during calls as they happen, ideal for agent assist, IVR, and AI voice systems.
Prosody & Vocal Stress Detection
Capture emotion through pitch variation, tempo, pauses, and energy, even when transcripts appear neutral.
Noise-Resilient Audio Processing
Designed for VoIP, mobile calls, and noisy environments. Models focus on speaker affect, not background artifacts.
Build emotionally intelligent voice systems with FacialProof’s Speech Emotion Recognition API.
Advanced Speech Emotion Recognition, Built for Production
FacialProof’s affective computing models are trained to handle real-world audio conditions at scale, not lab-grade recordings.
Real-Time Emotion & Mood Inference
Emotion probability scores per time segment
Detect anger, frustration, joy, fear, sadness, neutrality
Continuous emotional tracking during calls
Audio Streaming API Batch Speech Emotion Analysis
Analyze live audio via WebSocket or WebRTC with sub-50ms latency. Built to scale from single sessions to thousands of concurrent voice streams without performance loss.
Upload thousands of call recordings for historical sentiment analysis and quality assurance (QA).
High-Resolution Emotional Metrics
Access detailed emotion curves with confidence scoring. Metrics are structured for easy use in dashboards, real-time alerts, and automated decision systems.
Call Centers & Customer Support
Detect frustration, escalation risk, and empathy gaps in real time. Trigger supervisor alerts or post-call QA scoring automatically.
Conversational AI & Voice Assistants
Give voice bots emotional awareness. Route users to humans when frustration or confusion is detected.
Healthcare & Mental Wellness
Track vocal biomarkers related to stress, anxiety, and emotional fatigue across sessions, without facial data.
Why FacialProof for Speech Emotion Recognition
What the API Actually Measures
Most “emotion APIs” rely on:
- Text sentiment only
- Limited emotional classes
- High latency batch processing
- Audio-native affective computing
- Multilingual speech emotion models
Developer-First Speech Emotion Recognition API
We built the Voice Emotion Detection SDK to be plug-and-play. Whether you need a speech emotion recognition SDK for a mobile app or a high-throughput REST API for your cloud backend, we have you covered.
import voice_emotion_api
# Connect to the stream
client = voice_emotion_api.Client(api_key="your_key")
stream = client.connect_stream()
# Analyze live audio chunk
result = stream.analyze_prosody(audio_chunk)
if result.emotion == "anger" and result.confidence > 0.85:
alert_supervisor(result.timestamp)FacialProof vs Other Emotion Recognition APIs
Are you looking for an Azure Speech Emotion Recognition API replacement
Many big-tech providers have restricted or deprecated their public emotion detection endpoints. We offer a dedicated, privacy-first alternative.
Compare FacialProof with platforms such as Microsoft Azure, Google Cloud, Amazon, Hume AI, and AssemblyAI.
| Feature | Our Voice Emotion API | Azure / Amazon / Google | Hume AI / AssemblyAI |
|---|---|---|---|
| Emotion Granularity | 24+ Emotional States | Basic Sentiment (Pos/Neg) | High Granularity |
| Latency | Real-Time (<50ms) | Batch / Slow | Real-Time |
| Privacy Policy | Stateless (No Storage) | Data often retained | Varies |
| Developer Cost | Generous Free Tier | Enterprise Contracts | High Start-up Cost |
| Audio Clarity | Advanced Noise Filtering | Standard | High Accuracy |
FAQs
Is there a free Speech Emotion Recognition API?
Yes. FacialProof offers a free tier with monthly usage limits, ideal for testing, MVPs, and research.
Does Speech Emotion Recognition API work in real time?
Yes. The API supports low-latency streaming and returns emotion frames continuously during live audio.
Is this a replacement for Microsoft Emotion Recognition APIs?
Yes. As Microsoft and other providers retired or restricted emotion detection endpoints, FacialProof provides a focused, audio-only alternative.
Which languages are supported?
English, Spanish, French, German, and Mandarin, with more in progress.