01
Send the recording
Upload a completed sales call. API v1 is prerecorded, so it fits post-call review rather than live prompting.
Revenue teams
Sales call analysis, from how it was said
Sales call analysis usually reads the transcript and stops there. The Speech API scores emotion and speaking style per sentence from the audio, so you can see hesitation, excitement, or friction as it landed — and find the moments that moved a deal, not just the words that were spoken.
One file / one result
Recorded calls, with tone attached to every line
This actually sounds like exactly what we have been trying to solve — how soon could we start?
excited 0.82hopeful 0.7energetic 0.55
Unified analysis request
curl https://speech-api.oruk.ai/v1/audio/analysis \
-H "Authorization: Bearer $ORUK_API_KEY" \
-H "X-Request-ID: $(uuidgen)" \
-F "model=oruk-resonance" \
-F "file=@recording.wav"Workflow
02
Read tone per sentence
Get a transcript plus per-sentence emotion and speaking-style labels — buying signals and friction, measured from the voice.
03
Coach and score
Feed the labels into call scoring and coaching workflows alongside CRM context and reviewer judgment.
Useful applications
- Sales call analysis: find the emotional turning points in a deal
- Spot buying signals and objections from tone, not just keywords
- Coach reps with concrete, sentence-level moments
- Attach acoustic context to conversation-intelligence transcripts
Deployment safeguards
- Treat emotion labels as acoustic measurements, not a verdict on intent
- Validate on your call recording conditions, languages, and accents
- Keep multiple labels and uncertainty rather than one definitive state
- Disclose recording and analysis according to applicable consent rules