关键词 "lecture summarization" 的搜索结果， 共 24 条, 只显示前 480 条
Summarize websites, PDFs, and YouTube videos for free in any language. Dive into source details and jump to key moments in videos. Save time with Gist AI.
Powerful podcast transcription and summarization tool.
AI-powered tool for interactive PDF reading and summarization.
Record, transcribe, and summarize meetings with Wudpecker.
AI search engine for precise answers and efficient information retrieval
Enhance productivity with AI Copilot
AI-powered ChatGPT Writer helps users write effortlessly and improve their text effectively.
SolidPoint helps users save time by condensing lengthy videos into informative summaries.
AI tool for turning notes into flashcards and quizzes.
Claudeai.ai offers a global conversation experience using advanced AI technology.
genei is an AI tool that uses a custom algorithm to summarize articles and find key information.
AI platform for summarizing YouTube videos and generating chatbots
A free online tool that uses AI to summarize and condense text into key points. TLDR this 是在线文章摘要工具，基于AI技术自动将长篇文本简化为易于理解的摘要。用户输入文章链接或粘贴文本，获得一键式摘要服务，摘要的长度根据用户的需求进行调整。TLDR this提供浏览器扩展，支持元数据提取和无干扰阅读体验，帮
AI-powered tool for email management and productivity enhancement.
Shortwave is an AI-powered email service for professionals, making productivity stress-free.
MagicSlides generates presentation slides using AI from any given text.
AI platform summarizes long YouTube videos using ChatGPT.
Intellecs.AI simplifies information retrieval, summaries, and questioning for PDF documents.
SciSpace is an AI tool aiding users in comprehending and assessing scientific research papers.
Free summary generator for any text.
One-click AI anywhere.
A simple MCP server that integrates eGet web scraper with Claude for Desktop. This connector allows Claude to scrape web content through your local eGet API, enabling search, summarization, and analys
Provides summarised output from various actions that could otherwise eat up tokens and cause crashes for AI agents
MCP implementation code that sets up the server, integrates the LLaMA model for summarization, and serves it via a Flask application.
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