Abstract: Automatic text summarization (ATS) deals with compressing a long document into a shorter version, retaining the key ideas of the original document. It aims to tackle the problem of ...

Abstract: Extracting crucial information from lengthy documents can be a time-consuming and labor-intensive process. Automatic text summarization algorithms address this challenge by condensing ...

23 built-in metrics across two evaluation stages, plus a customizable LLM-as-a-Judge for your own criteria. Use the Model Context Protocol (MCP) for structured tool access.

Fully offline document summarizer powered by a local Mistral 7B model. Designed for scientists and researchers — supports PDF, DOCX, RTF, TXT & Markdown with batch processing. GUI + CLI. No cloud, no ...