Speech Emotion Recognition
Upload or record a clip and detect the speaker's emotion from voice.
Analyze supported audio files with our speech emotion detector and get a predicted emotion, confidence score, and a full breakdown across 8 emotions in one step.
Upload or Record Audio for Emotion Analysis
Drop a file into the upload area or click to select one from your device, or record a short clip with your microphone. We support many common audio formats, including WAV, MP3, M4A, FLAC, OGG, WebM, AAC, Opus, WMA, AMR, 3GP, AIFF, AU, and more.
Drag and drop your audio file here
Supported: WAV, MP3, M4A, FLAC, OGG, WebM, AAC, Opus, WMA, AMR, 3GP, AIFF, AU, and more.
0:00Recording
Emotion Detection Result
Your latest result will appear here once analysis is complete.
Upload or record a supported audio file to see the emotion detection result.
Customer experience signals
Surface frustration, satisfaction, or urgency in call recordings and voice notes to prioritize follow-up.
Workflow support
Use the model output as one signal in support review, quality assurance, and product research flows.
Rich expression signal
Get a predicted emotion plus a full 8-way expression breakdown so teams can triage audio with more context.
What users are saying
Verified customer feedback from teams using Speech Emotion Recognition for support review, research, and workflow support.
Priya Nair
Speech Emotion Recognition gave our support review queue a useful first-pass emotion signal without adding complexity. The expression breakdown helps reviewers triage calls faster.
Tomás Herrera
We integrated this endpoint into our voice research tooling in one sprint. It now supports sentiment tagging where emotional context improves analysis quality.
Amara Okafor
The API has been stable in production and response times are excellent. It is now a core enrichment signal in our call review and analytics workflows.