Paper Summarizer is an AI-powered command-line application designed to process academic papers and produce concise, structured summaries. It leverages OpenAI’s GPT API to analyze documents, extracting essential sections such as abstract, introduction, methods, results, and conclusion. Users can customize summary length and choose output formats like markdown or plain text. The tool supports batch processing of multiple files, making it easy to integrate into existing research workflows. By condensing complex research into clear, digestible overviews, Paper Summarizer helps users quickly grasp core insights and improve productivity without sacrificing accuracy.

Youtube-to-Blog-CrewAI is a command-line AI content agent designed to revolutionize how creators and marketers repurpose video material into written form. By inputting a YouTube URL, the tool fetches and transcribes audio, then leverages advanced AI models to organize the raw text into coherent sections, enhance it with introductions, conclusions, headings, and subheadings, ensuring readability and SEO optimization. Users can customize tone, length, and keywords, and optionally generate supporting images via integrated AI imaging APIs. The generated blog posts are output as markdown or HTML, ready for publishing on personal blogs, CMS platforms, or static site generators. This solution maximizes content reach, saves time, and boosts audience engagement by transforming existing video assets into valuable written articles.