Seamlessly incorporate conversation, language, and advanced text analytics into your applications.
Why Watson APIs?
Watson APIs makes it easy to incorporate conversation, language, and text analytics into your application. This allows organizations to easily build enterprise-grade applications that infuse the best of IBM research NLU technologies such as voice transcription and voice synthesis in any hybrid multi-cloud environment. Example use cases include: (1) the automation of self-service actions and answers using live audio transcription and text conversion, (2) capturing discussions between callers and agents with Watson Speech real-time transcription, and (3) transcribe text into natural sounding audio to facilitate e-learning and new language learning practices, and (4) audio options to support users with visual impairments, dyslexia or literacy issues.
Key Features
- A Common Library. A common library framework for natural language processing (NLP), speech. Document understanding, translation, and trust. The framework is specifically designed to help lower the barrier for AI adoption by helping address the skills shortage and development costs that are required to build AI models from scratch.
- Integration SDKs. A comprehensive list of software development kits (SDKs) to Watson Artificial Intelligence (AI)/Machine Learning (ML) services such as the Watson Natural Language Understanding (NLU), Speech to Text, and Text to Speech services.
- Flexible and Extensible. IBM natural language AI containerized libraries are fit for purpose and provide stable APIs with dynamic implementation for interoperability across models.
- Run Anywhere. Deploy and run your applications on any hybrid multi-cloud in the container environment of your choice: local Docker platform, Kubernetes or serverless containers.
Additional Resources
Ready to achieve enterprise-grade applications that infuse the best of IBM Research technologies using Watson APIs?
