Speech Emotion Recognition API
Detect emotion from voice with one API call.
Upload an audio file with multipart/form-data and receive a predicted emotion, confidence score, expression breakdown, and remaining request count. Built for support review, voice analytics, and workflow screening.
Quickstart
POST multipart/form-data// Headers
apiKey:
YOUR_API_KEY
// Form Data
formData.append("file", yourAudioFile);// Sample Response
{
"success": true,
"predicted_emotion": "happy",
"confidence": 87,
"expressions": {
"happy": 87,
"neutral": 5,
"surprised": 3,
"angry": 2,
"sad": 1,
"fearful": 1,
"disgusted": 1,
"other": 0
},
"remainingRequests": 119
}Send the audio file using the file field. Supported formats include WAV, MP3, M4A, FLAC, OGG, WebM, AAC, Opus, WMA, AMR, 3GP, AIFF, AU, and more.
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Ahmad Raza
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Leads AI workflow integration for SaaS products and enterprise automation.
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Hassan Zahid
Senior Backend Developer
Builds secure APIs and backend services for mission-critical applications.
Customer experience signals
Surface frustration, satisfaction, or urgency in call recordings and voice notes to prioritize follow-up.
Workflow support
Use emotion detection as one signal in support review, quality assurance, and product research workflows.
Clean JSON responses
Receive predicted_emotion, confidence, expressions (8 emotions), and remainingRequests in one compact response.
Fast integration
A simple multipart upload flow keeps implementation straightforward in web, backend, and mobile services.
Usage visibility
Track remaining request quota directly in each successful response.
Focused format support
Designed to handle many common voice analysis formats, including WAV, MP3, M4A, FLAC, OGG, WebM, AAC, Opus, WMA, AMR, 3GP, AIFF, AU, and more.
How it works
Speech emotion detection in three steps.
Upload the file
POST multipart/form-data to the /api endpoint with your apiKey header and a file field.
Receive JSON
Get the predicted emotion, confidence score, expression breakdown, and remainingRequests after processing completes.
Act on the signal
Use the result in support review, voice analytics, research tagging, or additional verification flows.
cURL
Multipart uploadcurl -X POST 'https://api.genderrecognition.com/v1/speech-emotion/api' \ -H 'apiKey: YOUR_API_KEY' \ -F 'file=@/path/to/your/audio.wav'
JavaScript
fetch exampleconst apiKey = "YOUR_API_KEY";
const formData = new FormData();
formData.append("file", yourAudioFile);
const response = await fetch(
"https://api.genderrecognition.com/v1/speech-emotion/api",
{
method: "POST",
headers: {
apiKey,
},
body: formData,
}
);
const result = await response.json();Customer support review
Flag frustrated or urgent calls automatically so support teams can prioritize follow-up.
Voice analytics
Attach emotion detection output to research, sentiment tagging, and product feedback pipelines.
Smarter review queues
Prioritize clips based on predicted emotion and confidence when additional review is required.
Ready to Get Started?
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Register AccountPricing
Simple, transparent pricing. First 1000 requests free, then pay as you go. Check out our pricing page for more details.
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