ReadPaper Importer is a powerful browser extension that enables users to swiftly detect and import PDFs from the web to their ReadPaper library. By automatically identifying PDF files during your browsing sessions, this tool not only saves time but enhances the ability to organize, annotate, and access academic papers efficiently. Whether you're conducting research or simply want to keep important documents at your fingertips, ReadPaper Importer is your go-to solution for seamless PDF management.

Resea AI is an autonomous AI research assistant that independently conducts multi-round deep research by integrating web search and academic libraries such as Google Scholar, PubMed, and arXiv. It generates detailed, well-cited reports for academic, business, and other research purposes. Users submit assignment requirements, and Resea AI independently thinks, researches, writes, and revises, providing unlimited word count and citation format support.

SPSSAU, launched in 2016, stands as a fourth-generation web-based statistical analysis software. It integrates approximately 500 intelligent algorithms and tests, tailoring to the needs of global universities and researchers. SPSSAU's key differentiator is its AI-powered analytics that provide standardized tables, analysis suggestions, and intelligent interpretations. With a no-installation approach, it's accessible through simple drag-and-drop file uploads, making it extremely user-friendly. The software supports various data formats and offers comprehensive services and visualizations, ensuring a seamless and secure data analysis process. It currently serves over 5 million users worldwide, producing more than 50 million analysis results.

PDF Interact enables users to ask questions about their documents and receive instantaneous responses. This AI-powered tool is designed to transform your research and analysis activities, providing in-depth insights from academic papers, enhancing productivity, and saving significant time. Users can easily upload their PDFs and let the AI assist in extracting vital information, making document reading and analysis more efficient and focused.

Agentic Seek leverages OpenAI’s GPT models and a custom toolkit to automate the entire web research lifecycle. Users define high-level objectives, and the system spawns specialized sub-agents to execute search queries, navigate websites, extract key information via scraping, and summarize findings. It supports iterative refinement, allowing agents to revisit and update results based on new insights. Developers can extend its capabilities by integrating custom action handlers and API connectors. Ideal for competitive intelligence, academic research, market analysis, and large-scale data gathering, Agentic Seek reduces manual browsing, accelerates decision-making, and ensures comprehensive coverage across multiple online sources. The platform includes a web-based interface for monitoring agent activity and reviewing intermediate outputs. With built-in logging, customizable prompts, and audit trails, teams can trace agent decisions for transparency, compliance, and quality assurance.

ChatDOC is an advanced PDF AI reading assistant that leverages artificial intelligence to facilitate document interaction. Users can chat directly with any PDF, asking questions and receiving instant summaries, data analysis, and explanations of tables and formulas. Whether for academic research or professional use, ChatDOC provides detailed insights from lengthy documents, helping users to extract essential information quickly and accurately.

ChatPDF is a user-friendly platform designed to let users chat with any PDF document. By uploading a document, users can ask questions and receive precise answers, making it perfect for academic research, professional work, and more. ChatPDF supports multiple query rounds, targeting specific parts of documents, and ensuring that answers are thoroughly cited for reliability.

Faraday Web Researcher Agent is a Python-based AI agent that streamlines online research by automatically browsing websites, scraping relevant data, and generating comprehensive summaries. Utilizing OpenAI’s large language models and the LangChain framework, it chains multiple web navigation and processing steps to ensure thorough coverage. Users specify their research objectives, such as gathering statistics, extracting key points, or compiling literature reviews, and the agent executes the workflow, handling pagination and dynamic content. The output can be exported in JSON or CSV, enabling easy integration with analytics tools. By automating repetitive research tasks, Faraday enhances productivity, reduces human error, and accelerates insights for academia, marketing, competitive intelligence, and more.