Behavioral Signals API vs openSMILE

BSBehavioral Signals API6.5Visit openSMILE—Visit

Higher score BS Behavioral Signals API #1 in Voice Analysis Software 6.5/10 Free plan Free plan✓ 2 of 3 features Visit Behavioral API

vs

openSMILE #7 in Voice Analysis Software —/10 Free plan Free plan✓ 0 of 3 features Visit audEERING

• Behavioral Signals API fits best

  Teams needing broad real-time voice analytics

• openSMILE fits best

  Researchers building audio-analysis workflows

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Side by side

Feature	BSBehavioral Signals API 6.5/10 Visit ↗	openSMILE —/10 Visit ↗
At a glance
Editor score	6.5	—
Ranking	#1 in Voice Analysis Software	#7 in Voice Analysis Software
Best for	Teams needing broad real-time voice analytics	Researchers building audio-analysis workflows
Pricing model	Free plan + paid	Free
Starting price	Not published	Not published
Free plan	✓	✓
Free trial	—	—
Features Behavioral Signals API 2/3 · openSMILE 0/3
Real-time analysis	✓ (best)	Not published
Speaker separation	Not published	Not published
API access	✓ (best)	Not published
Specs
Analysis focus	Not published	Behavior
Supported languages	Not published	Not published
Deployment	Not published	Not published
Our review
Pros	Combines emotion, behavior, interaction metrics, diarization, and ASR Supports both real-time and batch audio processing through an API Includes voice deepfake detection and SDKs for five development languages	Extracts audio features from audio signals Open-source and available on a free plan Supports research and development audio-analysis workflows
Cons	API- and SDK-centered delivery requires development resources On-premises deployment and tailored models are limited to Custom projects Behavioral and deepfake capabilities are organized across separate plans	Not a hosted voice-analysis service Requires developer-led implementation in your environment Does not provide complete voice or conversation assessment
Our verdict	Behavioral Signals API analyzes audio for emotion, behavioral predictions, and interaction metrics in third-party applications. Outputs include emotions such as anger, happiness, sadness, and frustration; speaking rate, tone variety, and… Read the review →	openSMILE is an open-source software toolkit for analyzing audio signals and extracting audio features. It is aimed at researchers and developers building audio-analysis workflows, including work involving speech, music, and emotion… Read the review →

Strengths and trade-offs

• Behavioral Signals API — where it wins

  • Combines emotion, behavior, interaction metrics, diarization, and ASR
  • Supports both real-time and batch audio processing through an API
  • Includes voice deepfake detection and SDKs for five development languages

  Where it doesn't

  • API- and SDK-centered delivery requires development resources
  • On-premises deployment and tailored models are limited to Custom projects
  • Behavioral and deepfake capabilities are organized across separate plans

• openSMILE — where it wins

  • Extracts audio features from audio signals
  • Open-source and available on a free plan
  • Supports research and development audio-analysis workflows

  Where it doesn't

  • Not a hosted voice-analysis service
  • Requires developer-led implementation in your environment
  • Does not provide complete voice or conversation assessment

• BSBehavioral Signals API6.5/10 · Free plan

  Broad real-time and batch voice analytics with emotion, behavior, and deepfake detection.

  Visit Behavioral APIFull verdict →
• openSMILE—/10 · Free plan

  A research-focused toolkit for extracting audio features in analysis workflows.

  Visit audEERINGFull verdict →