The Arxiv GPT Summarizer is a convenient tool designed for researchers and students looking to digest academic papers quickly. By using OpenAI’s language models, it generates summaries directly from the arXiv paper's title and abstract, inserting these insights into the webpage. This allows users to grasp the essential content of papers at a glance, making it ideal for anyone overwhelmed with reading loads of research literature.

Content Summarizer with AI Agents orchestrates a sequence of specialized AI agents to streamline content summarization workflows. A FetchAgent retrieves text from URLs or local files, while a PreprocessingAgent cleans and segments content. A SummarizationAgent generates concise summaries for each segment using GPT models, and a FeedbackAgent iteratively refines the output for coherence and relevance. The tool supports customization of summary length and tone, handles long documents through chunking, and produces final summaries in plain text or JSON formats. It requires a valid OpenAI API key and runs in a standard Python environment.