Behavioral Signals API review
Audio analysis API for emotion, behavior, interaction metrics, and voice deepfake detection.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Behavioral Signals API analyzes audio for emotion, behavioral predictions, and interaction metrics, aimed at developers adding those capabilities to third-party applications. Outputs include emotion labels such as anger, happiness, sadness, and frustration, alongside measures including agent fatigue and customer satisfaction. The API also supports speaker diarization and automatic speech recognition, and the vendor describes applications including virtual assistants, games, smart speakers, and social robots. Its mix of prediction and speech-processing features makes it relevant to teams building voice experiences that need more than transcription alone.
A notable strength is the choice between batch and real-time processing, with separate Behavioral plans for each. Both list emotional and behavioral predictions, diarization, and ASR. Separate batch and streaming plans cover audio deepfake detection, while a batch option covers video deepfake detection. The product also reports interaction measures such as speaking rate, tone variety, and speaking-time ratios. SDKs are available for JavaScript, Android, Swift, Python, and Java, giving developers several routes to connect the service to applications. Teams focused on voice analysis will find the feature set more directly aligned than buyers looking for a general-purpose video analytics suite.
The Starter plan includes emotion and behavioral predictions, diarization, and ASR, while the Custom plan adds volume-based discounts, custom builds, tailored models, optional on-premises deployment, and premium support. The vendor offers documentation, email, and community support, and lists GDPR compliance. Custom deployment and tailored models may suit organizations with specific infrastructure or modeling needs, but those options are distinct from the standard plans. Choose Behavioral Signals API when an application needs emotion or behavior analysis on audio, real-time or batch processing, or voice deepfake detection. Look elsewhere if the primary need is a broad analytics platform rather than an API centered on audio and related signals.
Behavioral Signals API pros and cons
- Where it wins
- Supports real-time and batch audio analysis with diarization and ASR
- Reports interaction metrics such as speaking rate and tone variety
- Offers SDKs for JavaScript, Android, Swift, Python, and Java
- Where it doesn't
- Core analysis focuses on audio rather than broad multimodal inputs
- On-premises deployment is offered for custom projects
- Some plan options focus specifically on deepfake detection
Behavioral Signals API fact sheet, pricing and score →
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