Google Cloud Natural Language API vs TensorFlow: What are the differences?

Developers describe Google Cloud Natural Language API as "Derive insights from unstructured text using Google machine learning". You can use it to extract information about people, places, events and much more, mentioned in text documents, news articles or blog posts. You can use it to understand sentiment about your product on social media or parse intent from customer conversations happening in a call center or a messaging app. You can analyze text uploaded in your request or integrate with your document storage on Google Cloud Storage. On the other hand, TensorFlow is detailed as "Open Source Software Library for Machine Intelligence". TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.

Google Cloud Natural Language API belongs to "NLP / Sentiment Analysis" category of the tech stack, while TensorFlow can be primarily classified under "Machine Learning Tools".