Text focused APIs utilizing generative large language models (LLMs)

Provides multiple text-based similarity algorithms to measure the similarity of input text pairs. The provided algorithms are tuned to measure similarity both in the representation (syntax) and the meaning (semantics) of the text content.

Generates a summary for the given text.

MARCIE NLP operations' request on provided content

Text enrichment APIs offer various enrichment functions that take the raw text as its input and provides a specific enrichment/feature corresponding to the input text. An enrichment function is idempotent and its output is determined by the input text and the underlying predictive (deep learning based) linguistic model. Some examples of these include text based sentiment, readability calculation etc. Most of the underlying methods can be used either using a "GET" or a "POST" HTTP method. For smaller text, the GET method offers better performance and allows for network optimizations such as caching.

MARCIE text transformers operations' request on provided content

MARCIE spell and grammar operations' request on provided content

MARCIE API Content Moderation

MARCIE translation operations

Root resource for all application APIs

Root resource for all content APIs

Root resource for all document APIs

Root resource for all text search APIs

Microsoft Word document parsing.

XHTML Email template parsing.

MARCIE API Self Service