Task-Specific APIs Overview
Dedicated APIs that work out-of-the-box for specific reading and writing tasks.
AI21 Studio's Task-Specific APIs offer a range of powerful tools. These APIs have been specifically designed for their respective tasks and provide high-quality results while optimizing efficiency.
Whether you are an NLP enthusiast or have no prior knowledge, these task-specific APIs are easy to integrate into your writing platform and provide top-notch results in a matter of minutes. As specialized APIs, each was optimized for a dedicated purpose, making it significantly more efficient than building it from scratch, and much more cost effective.
The Paraphrase API offers access to a world-class paraphrasing engine that suggests alternative ways to convey the same message using different words. It takes a piece of text and returns a list of paraphrases that convey the same meaning using different words, with the ability to adjust tone and style.
Grammatical Error Corrections (GEC) API
The Grammatical Error Corrections (GEC) API provides access to a top-of-the-line GEC engine that identifies and corrects grammar errors, returning a list of grammar errors and suggestions for corrections.
Text Improvements API
The Text Improvements API scans a piece of text to see if it can be improved and checks for fluency, clarity, and vocabulary. It returns a list of suggestions if it finds areas that need improvement.
The Summarize API provides access to a world-class summarization engine that generates grounded summaries that remain faithful to the original document. It takes a piece of text or URL and generates summaries that follow the original text flow.
Text Segmentation API
The Text Segmentation API breaks down a piece of text into segments, identifying distinct topics and lines that will work well together and form a coherent piece of text. It supports up to 100,000 characters and can be used to segment long text into smaller chunks and summarize each segment separately.
Contextual Answers API [BETA]
The Contextual Answers API receives document text, serving as a context, and a question and returns an answer based entirely on this context. This means that if the answer to your question is not in the document, the model will indicate it (instead of providing a false answer).
Updated 2 months ago