Voice + transcript analysis
Analyze voice emotion and transcript data together to understand what was said and how it was felt in every moment.
Voice Analysis AI That Understands Emotion in Every Conversation
Imentiv AI analyzes voice and transcript together - speaker by speaker, moment by moment.
Every audio has emotion behind it
What people say and how they say it are two different signals. Imentiv AI reads both.
One audio. A full emotional picture.
Analyze conversations to understand tone, intent, and emotional shifts.
Real-time emotion graph
Track valence, arousal, and intensity across the conversation timeline to detect emotional highs, lows, and turning points.
Speaker-level emotion tracking
Separate speakers automatically and track emotional signals for each voice independently.
Multilingual audio emotion analysis
Analyze emotional signals across voice and transcript in multiple languages, including English, Spanish, French, Portuguese, Arabic, Hindi, Chinese, Korean, and more.
WHERE WE STAND APART
Insights that explain the why
Ask Imentiv AI about the audio, and it reasons across every speaker, tone shift, and transcript emotion it detected to give you clear, actionable insights about what happened and why.
Insights
Explore Insights from every conversation
Ask questions about emotional shifts, engagement, speaker behavior, or important moments and receive answers grounded in the conversation analysis.
Insights · Demo
Where did engagement peak in this call?
Peak engagement at 2:04 – 2:19. Both speakers show simultaneous valence lifts (+0.4 each). Speaker 1 introduces a key benefit; Speaker 2 responds with increased arousal (0.68).
Built for teams that need deeper insight
Sales calls
Identify hesitation, buying signals, and objection moments in sales conversations. Coach sales reps on the exact seconds that determine deal outcomes.
Audio journaling
Track emotional patterns across voice journals and reflection recordings. Detect mood shifts over time and see trends that may otherwise go unnoticed.
Customer support calls
Pinpoint moments of customer frustration, satisfaction, and escalation. Improve service quality by understanding how emotional experiences evolve during support interactions.
Podcast & media analysis
Analyze emotional reactions throughout spoken content and pinpoint the moments that create the greatest audience impact.
HOW IT WORKS
From upload to insights in minutes
01
Upload audio or go live
Upload audio files in formats such as .mp3, .wav, or .aac, or start a live audio analysis to analyze conversations in real time.
02
Audio processing
Imentiv AI separates voices, reduces background noise, detects the language, identifies speakers, transcribes speech, and maps each sentence to the correct speaker with timestamps.
03
Emotion detection
Analyze emotions from vocal characteristics and transcript content, generating emotion scores for each conversation segment.
04
Explore your dashboard
Understand how emotions vary across the conversation and between speakers, view specific/ entire segments of the audio, and use Insights to ask questions and receive evidence-backed responses grounded in your analysis. You can also download the analysis as a CSV.
Embed audio emotion intelligence into any pipeline
The Imentiv Audio Emotion API helps the team move fast. RESTful, well-documented, and designed to return structured emotional data at scale.
View API documentationaudio-analysis.py
requests.post("/v2/audios",
headers={
"Accept": "application/json",
"Content-Type": "multipart/form-data",
"referer": "",
"X-API-KEY": ""
},
data={
"title": "",
"audio_file": "",
"callback_url": "",
}
)