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About Oliver API

Oliver API by Behavioral Signal Technologies analyzes voice to detect emotions and behavioral signals. It delivers metrics like positivity, excitement, and confidence from live or recorded audio, with SDKs for web, mobile, and backend integration. The API supports real-time and batch processing, and integrates with contact center ecosystems for voice intelligence applications. Key capabilities: Voice emotion recognition and behavioral metrics Real-time and batch audio processing SDKs for popular programming languages Support for emotion-aware applications Integrations with contact center platforms Best for: Teams building voice analytics or agent assist tools.

Oliver API Details

Vendor
Behavioral Signal Technologies
Year Launched
2016
Location
4470 W Sunset Blvd, Suite 94260 Los Angeles, CA 90027, US
Deployment
cloud
Training Options
documentation
Countries Served
All Countries
Languages
English, Spanish, French, German, Italian, Portuguese, Russian, Chinese, Japanese, Korean, Arabic
Users
Large enterprises (e.g., contact centers), Healthcare institutions, Robotics and AI developers, Game developers, Researchers in behavioral and psychological analysis.
Industries Served
Contact Centers, Customer Support, Healthcare, Gaming, Robotics, Conversational AI, Psychology (therapy)
Tags
Artificial Intelligence, Oliver API

Oliver API's In-App Market Place

Does Oliver API have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

0

Mini Apps

Pricing Options

Free trial
Free version
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Promo Offer

Accepted Payment Currencies

USD ($)

Pros & Cons

  • Real-time emotion detection for voice-based applications.
  • Rich SDKs and documentation for developers.
  • Versatile use cases (e.g., call centers, healthcare, gaming).
  • Batch and real-time audio processing.
  • Emotional and behavioral metrics tailored for deep analysis.
  • Potential complexity in integrating with non-supported languages.
  • Limited information on user accessibility and support channels.
  • May not be directly customizable for niche use cases.
  • Lack of specific currencies or countries mentioned for payment and support.
  • Accuracy can vary depending on audio quality and training data

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