Oliver API
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 is a powerful emotion AI platform designed to measure emotions and behaviors from voice data. It offers a rich set of metrics, supports real-time and batch processing, and comes with comprehensive documentation and SDKs for various programming languages. The platform's user interface and ease of use are commendable, with well-structured documentation and tutorials that make it straightforward for developers to get started and implement the API into their applications. Oliver API boasts a wide range of emotional and behavioral metrics, allowing developers to gain deep insights into user sentiment. Key features include emotion recognition (detecting emotions like happiness, sadness, anger, and frustration), behavioral analysis (measuring factors such as engagement, focus, and stress levels), real-time and batch processing (supporting both synchronous and asynchronous use cases), and customization (allowing for fine-tuning of models to meet specific application requirements). In terms of performance and reliability, Oliver API generally delivers accurate results, although the accuracy of emotion detection can vary depending on factors like audio quality, background noise, and the diversity of the training data.
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
Features
Key features
- 1. Emotion Recognition
- Identifies emotions from voice, including happiness, frustration, anger, and sadness.
- 2. Behavioral Metrics
- Analyzes excitement, confidence, vocal variety, and emotional intensity.
- 3. Real-Time and Batch Processing
- Handles live and pre-recorded audio data for versatile applications.
- 4. SDK Availability
- Provides SDKs for languages like JavaScript, Android, Swift, Python, and Java.
- 5. Rich Integrations
- Integrates with platforms like Uniphore and Genesys Marketplace for enhanced usability.
Additional features
- 1. Emotion Metrics
- Provides metrics on emotional states such as positivity/negativity and emotional strength.
- 2. Applications Across Various Industries
- Applicable in contact centers, healthcare, gaming, robotics, and research.
- 3. Support for Emotion-Aware Applications
- Enables development of apps that react to users' emotional states.
- 4. Comprehensive Documentation
- Offers extensive guides and examples for quick developer onboarding.
- 5. Customer Support Options
- Includes various support channels, though specifics are not detailed.
- 6. Scalability for Heavy-Duty Applications
- Engineered to support applications with high processing demands.
Pricing
Monthly plans
Standard
USD 0.01
Countries & Languages
Interface languages
Billing currencies
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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
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
Plans
Monthly plans
Standard
USD 0.01
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
Oliver API's Support Options
Contact
+1 424-603-1051Documentation
https://oliver.readme.io/docs/getting-startedOliver API's Alternatives
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