AI Text Analyzer

The tool processes natural‑language input using machine‑learning models to extract sentiment, generate concise summaries, and translate content between supported languages. It accepts raw text or documents, returns structured results indicating positive, negative, or neutral sentiment, produces a short abstract of the main ideas, and outputs a translated version in the target language. The service is exposed through an API, allowing developers to embed these capabilities directly into applications, pipelines, or services without building their own models.

It is aimed at software engineers and data‑science teams that need automated text‑understanding features for chatbots, content moderation, analytics dashboards, or multilingual support. The API returns JSON‑formatted responses, making it straightforward to parse and combine with other system components.

The project is in an experimental stage, offering a minimal set of endpoints and configuration options while the underlying models and performance are still under active development.