Which API could assist in deriving structured data from unstructured text?

The Language API is designed to help derive structured data from unstructured text by providing various natural language processing (NLP) features. This API enables developers to analyze and understand the content of a text by identifying entities, sentiments, and syntax, among other features. For instance, it can extract key phrases, recognize named entities (like companies or locations), and evaluate the sentiment expressed in the text.

By transforming unstructured text into structured data, the Language API can facilitate tasks such as organizing content, improving search capabilities, and enhancing data retrieval processes. This capability is invaluable in applications where understanding and processing natural language content is necessary, such as chatbots, sentiment analysis tools, or automated summarization systems.

In contrast, while other options like the Speech-to-Text API convert spoken words into text format, they do not inherently analyze or derive structured data from that text. The Vision API focuses on image data and extracting information from visual content, and the Video Intelligence API works primarily with video content, analyzing and understanding the visual and audio information within videos, rather than textual content. Each of these APIs serves distinct purposes that do not center around the transformation of unstructured text into structured data in the same way the Language API does.