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Emotion API

Voice Emotion Recognition API

Recognize emotion in recorded voices: 15 calibrated emotion scores from prerecorded English speech through one synchronous REST call.

$5 trial credit · No card · From $0.0060 per audio minute

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curl https://speech-api.oruk.ai/v1/audio/emotions \
  -H "Authorization: Bearer $ORUK_API_KEY" \
  -F file=@call.wav -F model=oruk-spectra-1
{
  "model": "oruk-spectra-1",
  "emotions": [
    { "label": "frustrated", "score": 0.83 },
    { "label": "worried",    "score": 0.61 }
  ],
  "usage": { "audio_seconds": 42.7, "estimated_cost_usd": 0.0043 }
}

Analysis, not generation

Many “voice API” products make voices. This one measures them:

Not text-to-speech
This API does not generate speech. It analyzes recordings you already have.
Not voice cloning
No voices are synthesized, imitated, or reproduced.
Not speaker identification
The API does not identify or verify who is speaking. It scores how the speech sounds.
Not generation of any kind
The output is measurements — emotion scores, speaking styles, transcripts — never audio.

Alongside emotion, the same API returns 16 calibrated speaking styles and English transcripts — one endpoint per task, priced per second of audio.

Analyze your audio

$5 trial credit. No card required.

Measured in the open, stated with caveats

speech-emotion-bench

77.6% accuracy

64,384 held-out clips, one identical scoring pipeline across 64 systems. Next best: emotion2vec+ seed at 68.7%. The caveat, stated plainly: the oruk entry is trained in-distribution while other systems are zero-shot. Protocol and downloadable results are on the methodology page.

What a response means

A score of 0.83 for frustrated means the audio crossed a threshold calibrated on held-out speech — it describes how the clip sounds, not what the speaker meant or felt inside. Scores are probabilistic acoustic signals and should never be the sole basis for a consequential decision.

Try it yourself first: run the live analyzer on your own voice, no account needed.

Data handling: audio and outputs are used to produce the response and are not retained after it is returned; oruk never trains on customer content. Full commitments in the privacy policy.

Analyze your audio

$5 trial credit. No card required.

Exactly what you are buying

The limits below are stated here so you do not discover them after integrating.

Input
Prerecorded English audio files only. No production multilingual support in API v1.
No real-time streaming
The public contract is file-based. You upload a file and get the full result back; there is no websocket or streaming endpoint.
File limits and formats
Up to 30 MB and 60 minutes per file. WAV, FLAC, MP3, M4A, OGG, and WebM are supported.
Request behavior
Synchronous REST: one POST, one response. Every response reports its measured duration and estimated cost.
Pricing
Emotion on Spectra 1 costs $0.0060 per audio minute (pricing version 2026-07-11), metered per measured second with a one-second minimum. Full rates on the pricing page.
Data retention and training
Audio and outputs are not retained after the response is returned; billing and audit metadata is kept. oruk never trains on customer content.
What scores are — and are not
Emotion scores are probabilistic acoustic signals calibrated on held-out audio. They are not intent, truth, medical, employment, or psychological judgments, and must not be the sole basis for consequential decisions. See responsible use.
Model and version stability
Models are versioned; Spectra 1 and Resonance are stable, Spectra 2 is in preview. Changes are announced on the changelog.
Support
Email access@oruk.ai; the production guide covers retries, limits, and error handling.
Analyze your audio

$5 trial credit. No card required.

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Analyze your audioRead the docs