Audiotext AI harnesses advanced technology to transform audio recordings into clear, concise text. This tool eliminates filler words and focuses on essential content, providing users with high-quality notes or summaries. Ideal for meetings, lectures, or interviews, it optimizes the way you capture and utilize spoken content. With user-friendly features and powerful algorithms, Audiotext AI is designed to save you time and improve your note-taking process, making it indispensable for both personal and professional use.

Deep Research AI Agent is an open-source Python framework designed for conducting comprehensive research tasks. It leverages integrated web search, PDF ingestion, and NLP pipelines to discover relevant sources, parse technical documents, and extract structured insights. The agent chains requests through LangChain and OpenAI, enabling context-aware question answering, automated citation formatting, and multi-document summarization. Researchers can adjust search scopes, filter by publication date or domain, and output reports in markdown or JSON. This tool minimizes manual literature review time and ensures consistent, high-quality summaries across diverse research domains.

Deep Research AI Agent is an open-source framework designed to automate every stage of the research process. By chaining web scraping modules, language model-based summarizers, and insight extraction pipelines, it gathers data from online articles, academic journals, and custom sources. It supports GPT-3.5, GPT-4, and other OpenAI models, allowing users to tailor question prompts and memory settings to their needs. After extracting key points and citations, it organizes information into comprehensive markdown or PDF reports. Researchers can extend its capabilities with plugins for database integration, API-based data retrieval, and custom analysis functions. This agent streamlines literature reviews, market research, and technical due diligence, reducing manual effort and ensuring consistent, high-quality outputs.