Best AI tools for< Summarize >

AI Summarizer is an online tool that uses state-of-the-art AI technology to shorten text while preserving all main points. It ensures accuracy and maintains original context, making it suitable for various types of content like essays or blog posts. Users can easily summarize text by typing or uploading content, with options to download, copy, or clear the summary. The tool offers features like setting summary length, showing bullets and best lines, and supporting multiple languages. It is known for its extensive word count limit, data safety, and readability-enhancing features.

Summarize.tech is an AI-powered application that provides video summaries for long YouTube videos such as lectures, live events, and government meetings. Users can easily obtain concise summaries of various content types through the power of artificial intelligence. The platform aims to streamline information consumption and save time by condensing lengthy videos into shorter, digestible formats. Summarize.tech leverages advanced AI algorithms to deliver accurate and efficient video summaries, catering to individuals seeking quick insights without watching the entire video.

YouTube Summarized is an AI-powered tool that helps you quickly and easily summarize YouTube videos and podcasts. With our advanced AI technology, you can get a concise and accurate summary of any video or podcast in just a few seconds. Our tool is perfect for students, researchers, journalists, and anyone who wants to save time and get the most important information from their favorite videos and podcasts.

Summarize.ing is an AI-powered tool that provides instant summaries of YouTube videos. It helps users save time by extracting key insights, concepts, and highlights from videos, making it easier to understand and retain information. The tool is particularly useful for educational content, tutorials, and news videos.

Go Summarize is a free YouTube video summarizer powered by AI. It allows users to get a summary of any long YouTube video, such as a lecture, live event, or government meeting. The tool is easy to use: simply copy and paste the YouTube URL into the input field and click the "Go Summarize" button. Go Summarize will then generate a summary of the video, which will include the key points and highlights. The summary can be used to quickly get an overview of a video without having to watch the entire thing.

The website offers a free online text summarizer powered by AI, designed to condense lengthy texts efficiently. It caters to professionals, students, and researchers who need to extract key details from documents. The tool utilizes advanced AI algorithms to provide users with essential information quickly, enhancing learning and productivity. Users can easily summarize text by pasting it into the tool, generating clear and concise summaries for research or quick information retrieval. The AI-enhanced tool aims to improve efficiency in processing large volumes of text.

Noiz Video Summarizer is an AI-powered tool designed to summarize YouTube videos efficiently. With just one click, users can get expert-level summaries for videos of any topic and length. The tool offers smart summaries in 41 languages, transforms videos into readable text, and helps users save time by providing concise summaries. Noiz has received positive feedback from over 500,000 users who appreciate its time-saving features and efficiency in summarizing video content.

Shownotes Summarize with ChatGPT is an AI-powered tool that helps you summarize long-form audio and video content. With just a few clicks, you can get a concise and accurate summary of any podcast, lecture, or meeting. Shownotes Summarize with ChatGPT is the perfect tool for busy professionals who want to stay up-to-date on the latest information without having to spend hours listening to or watching content.

Summarizer AI is a free online tool that simplifies and condenses extensive text documents, articles, or any written content into concise, easily digestible summaries. This cutting-edge artificial intelligence (AI) technology aims to enhance productivity and comprehension by breaking down complex information into its most essential points, making it particularly useful for students, researchers, professionals, and anyone looking to quickly grasp the main ideas of lengthy texts. The platform is user-friendly, emphasizing privacy and security for its users. It enhances reading comprehension by highlighting key terms and facilitates efficient knowledge acquisition without compromising on data confidentiality. Summarizer AI stands out for its versatility, ease of use, and commitment to user privacy, making it an invaluable resource for efficient text analysis and summarization.

Video Summarizer is an AI tool designed to generate educational summaries from lengthy videos in multiple languages. It simplifies the process of summarizing video content, making it easier for users to grasp key information efficiently. The tool is user-friendly and efficient, catering to individuals seeking quick and concise video summaries for educational purposes.

Summarize Paper .com is an open-source AI tool that provides concise, understandable, and insightful summaries of the latest research articles on arXiv. The tool uses AI to generate key points and layman's summaries of research papers, making it easy for users to stay up-to-date with the latest developments in their field. In addition to its summary service, Summarize Paper .com also offers an AI assistant that can answer questions about arXiv papers. The tool is designed to make it easy for researchers, students, journalists, and anyone else who wants to stay informed about the latest research to access and understand the latest findings.

SummarizeIt is an online tool that uses artificial intelligence to summarize videos. It is designed to help busy professionals and active learners save time and maximize their knowledge. With SummarizeIt, users can quickly and easily get the key points of any video without having to watch the entire thing. This can be a huge time saver, especially for long or complex videos. Summaries are often condensed into a more concise and easily digestible form, making it easier to understand and retain the information. Reading a summary also gives users the flexibility to pause, reread, or skip over parts that they don't understand or that are less important to them.

SummarizeYT is a YouTube summary tool that uses ChatGPT to generate summaries of YouTube videos. It is a free and easy-to-use tool that can help you save time and get the most out of your YouTube viewing experience.

Note Summarizer is an AI-powered tool that helps you quickly and easily summarize large amounts of text. With its advanced natural language processing capabilities, Note Summarizer can extract the most important points from any document, article, or website, providing you with a concise and informative summary in seconds.

YT-Summarizer is a free online tool that helps users summarize YouTube videos quickly and easily. It supports all YouTube formats and resolutions, and there are no watermarks or ads. Users simply need to paste the URL of the video they want to summarize into the input box and click the 'Summarize' button. YT-Summarizer will then generate a concise summary of the video, which can be used for personal or educational purposes.

Summarizer is a Chrome extension that allows users to summarize articles and webpages quickly and efficiently. With this tool, users can extract key information from lengthy texts, saving time and enhancing productivity. The extension provides concise summaries that capture the main points of the content, making it easier for users to grasp the essential details without having to read through the entire text. Summarizer is a valuable tool for students, researchers, professionals, and anyone who needs to process large amounts of information in a short time.

Airbnb Review Summarizer is an AI tool designed to summarize Airbnb listing reviews in a simple, personal, and useful manner. It offers a Chrome Extension Demo created by Allen. The tool aims to provide users with concise summaries of Airbnb reviews to help them make informed decisions when choosing accommodations.

Summarizely.org is a website that provides a text summarization tool to help users condense lengthy articles or documents into shorter, more digestible versions. The tool uses advanced algorithms to analyze the content and generate concise summaries, saving users time and effort in extracting key information. Users can simply paste the text they want to summarize into the tool, and within seconds, receive a condensed version that captures the main points of the original text. Summarizely.org aims to enhance productivity and efficiency for individuals who need to quickly grasp the essence of complex information.

The Summarizer Tool is a user-friendly online application that provides effortless summarization at your fingertips. It allows users to generate crisp summaries of text by simply uploading a file or pasting the content. The tool offers different tones and styles for the summaries, such as professional, friendly, and sarcastic. Users can choose between bullet points or paragraphs for the summary format. The tool ensures clear and concise summaries for various purposes.

Subtitle Summarizer is a YouTube video summarizer website that allows users to automatically create a summary of YouTube videos. Users can simply enter the video URL and obtain a text document that summarizes the important points of the video. This helps users save time and quickly understand the videos. Additionally, the website also provides the following features: Show timestamps for comments, Display the most repeated parts of the video.

Mistral.rs is a fast LLM inference platform written in Rust. We support inference on a variety of devices, quantization, and easy-to-use application with an Open-AI API compatible HTTP server and Python bindings.

Intel® Extension for Transformers is an innovative toolkit designed to accelerate GenAI/LLM everywhere with the optimal performance of Transformer-based models on various Intel platforms, including Intel Gaudi2, Intel CPU, and Intel GPU. The toolkit provides the below key features and examples: * Seamless user experience of model compressions on Transformer-based models by extending [Hugging Face transformers](https://github.com/huggingface/transformers) APIs and leveraging [Intel® Neural Compressor](https://github.com/intel/neural-compressor) * Advanced software optimizations and unique compression-aware runtime (released with NeurIPS 2022's paper [Fast Distilbert on CPUs](https://arxiv.org/abs/2211.07715) and [QuaLA-MiniLM: a Quantized Length Adaptive MiniLM](https://arxiv.org/abs/2210.17114), and NeurIPS 2021's paper [Prune Once for All: Sparse Pre-Trained Language Models](https://arxiv.org/abs/2111.05754)) * Optimized Transformer-based model packages such as [Stable Diffusion](examples/huggingface/pytorch/text-to-image/deployment/stable_diffusion), [GPT-J-6B](examples/huggingface/pytorch/text-generation/deployment), [GPT-NEOX](examples/huggingface/pytorch/language-modeling/quantization#2-validated-model-list), [BLOOM-176B](examples/huggingface/pytorch/language-modeling/inference#BLOOM-176B), [T5](examples/huggingface/pytorch/summarization/quantization#2-validated-model-list), [Flan-T5](examples/huggingface/pytorch/summarization/quantization#2-validated-model-list), and end-to-end workflows such as [SetFit-based text classification](docs/tutorials/pytorch/text-classification/SetFit_model_compression_AGNews.ipynb) and [document level sentiment analysis (DLSA)](workflows/dlsa) * [NeuralChat](intel_extension_for_transformers/neural_chat), a customizable chatbot framework to create your own chatbot within minutes by leveraging a rich set of [plugins](https://github.com/intel/intel-extension-for-transformers/blob/main/intel_extension_for_transformers/neural_chat/docs/advanced_features.md) such as [Knowledge Retrieval](./intel_extension_for_transformers/neural_chat/pipeline/plugins/retrieval/README.md), [Speech Interaction](./intel_extension_for_transformers/neural_chat/pipeline/plugins/audio/README.md), [Query Caching](./intel_extension_for_transformers/neural_chat/pipeline/plugins/caching/README.md), and [Security Guardrail](./intel_extension_for_transformers/neural_chat/pipeline/plugins/security/README.md). This framework supports Intel Gaudi2/CPU/GPU. * [Inference](https://github.com/intel/neural-speed/tree/main) of Large Language Model (LLM) in pure C/C++ with weight-only quantization kernels for Intel CPU and Intel GPU (TBD), supporting [GPT-NEOX](https://github.com/intel/neural-speed/tree/main/neural_speed/models/gptneox), [LLAMA](https://github.com/intel/neural-speed/tree/main/neural_speed/models/llama), [MPT](https://github.com/intel/neural-speed/tree/main/neural_speed/models/mpt), [FALCON](https://github.com/intel/neural-speed/tree/main/neural_speed/models/falcon), [BLOOM-7B](https://github.com/intel/neural-speed/tree/main/neural_speed/models/bloom), [OPT](https://github.com/intel/neural-speed/tree/main/neural_speed/models/opt), [ChatGLM2-6B](https://github.com/intel/neural-speed/tree/main/neural_speed/models/chatglm), [GPT-J-6B](https://github.com/intel/neural-speed/tree/main/neural_speed/models/gptj), and [Dolly-v2-3B](https://github.com/intel/neural-speed/tree/main/neural_speed/models/gptneox). Support AMX, VNNI, AVX512F and AVX2 instruction set. We've boosted the performance of Intel CPUs, with a particular focus on the 4th generation Intel Xeon Scalable processor, codenamed [Sapphire Rapids](https://www.intel.com/content/www/us/en/products/docs/processors/xeon-accelerated/4th-gen-xeon-scalable-processors.html).

LMDeploy is a toolkit for compressing, deploying, and serving LLM, developed by the MMRazor and MMDeploy teams. It has the following core features: * **Efficient Inference** : LMDeploy delivers up to 1.8x higher request throughput than vLLM, by introducing key features like persistent batch(a.k.a. continuous batching), blocked KV cache, dynamic split&fuse, tensor parallelism, high-performance CUDA kernels and so on. * **Effective Quantization** : LMDeploy supports weight-only and k/v quantization, and the 4-bit inference performance is 2.4x higher than FP16. The quantization quality has been confirmed via OpenCompass evaluation. * **Effortless Distribution Server** : Leveraging the request distribution service, LMDeploy facilitates an easy and efficient deployment of multi-model services across multiple machines and cards. * **Interactive Inference Mode** : By caching the k/v of attention during multi-round dialogue processes, the engine remembers dialogue history, thus avoiding repetitive processing of historical sessions.

Fabric is an open-source framework for augmenting humans using AI. It provides a structured approach to breaking down problems into individual components and applying AI to them one at a time. Fabric includes a collection of pre-defined Patterns (prompts) that can be used for a variety of tasks, such as extracting the most interesting parts of YouTube videos and podcasts, writing essays, summarizing academic papers, creating AI art prompts, and more. Users can also create their own custom Patterns. Fabric is designed to be easy to use, with a command-line interface and a variety of helper apps. It is also extensible, allowing users to integrate it with their own AI applications and infrastructure.

KIMI AI Free 服务 支持高速流式输出、支持多轮对话、支持联网搜索、支持长文档解读、支持图像解析，零配置部署，多路token支持，自动清理会话痕迹。 与ChatGPT接口完全兼容。 还有以下五个free-api欢迎关注： 阶跃星辰 (跃问StepChat) 接口转API step-free-api 阿里通义 (Qwen) 接口转API qwen-free-api ZhipuAI (智谱清言) 接口转API glm-free-api 秘塔AI (metaso) 接口转API metaso-free-api 聆心智能 (Emohaa) 接口转API emohaa-free-api

GPT Academic is a powerful tool that leverages the capabilities of large language models (LLMs) to enhance academic research and writing. It provides a user-friendly interface that allows researchers, students, and professionals to interact with LLMs and utilize their abilities for various academic tasks. With GPT Academic, users can access a wide range of features and functionalities, including: * **Summarization and Paraphrasing:** GPT Academic can summarize complex texts, articles, and research papers into concise and informative summaries. It can also paraphrase text to improve clarity and readability. * **Question Answering:** Users can ask GPT Academic questions related to their research or studies, and the tool will provide comprehensive and well-informed answers based on its knowledge and understanding of the relevant literature. * **Code Generation and Explanation:** GPT Academic can generate code snippets and provide explanations for complex coding concepts. It can also help debug code and suggest improvements. * **Translation:** GPT Academic supports translation of text between multiple languages, making it a valuable tool for researchers working with international collaborations or accessing resources in different languages. * **Citation and Reference Management:** GPT Academic can help users manage their citations and references by automatically generating citations in various formats and providing suggestions for relevant references based on the user's research topic. * **Collaboration and Note-Taking:** GPT Academic allows users to collaborate on projects and take notes within the tool. They can share their work with others and access a shared workspace for real-time collaboration. * **Customizable Interface:** GPT Academic offers a customizable interface that allows users to tailor the tool to their specific needs and preferences. They can choose from a variety of themes, adjust the layout, and add or remove features to create a personalized workspace. Overall, GPT Academic is a versatile and powerful tool that can significantly enhance the productivity and efficiency of academic research and writing. It empowers users to leverage the capabilities of LLMs and unlock new possibilities for academic exploration and knowledge creation.

ScaleLLM is a cutting-edge inference system engineered for large language models (LLMs), meticulously designed to meet the demands of production environments. It extends its support to a wide range of popular open-source models, including Llama3, Gemma, Bloom, GPT-NeoX, and more. ScaleLLM is currently undergoing active development. We are fully committed to consistently enhancing its efficiency while also incorporating additional features. Feel free to explore our **_Roadmap_** for more details. ## Key Features * High Efficiency: Excels in high-performance LLM inference, leveraging state-of-the-art techniques and technologies like Flash Attention, Paged Attention, Continuous batching, and more. * Tensor Parallelism: Utilizes tensor parallelism for efficient model execution. * OpenAI-compatible API: An efficient golang rest api server that compatible with OpenAI. * Huggingface models: Seamless integration with most popular HF models, supporting safetensors. * Customizable: Offers flexibility for customization to meet your specific needs, and provides an easy way to add new models. * Production Ready: Engineered with production environments in mind, ScaleLLM is equipped with robust system monitoring and management features to ensure a seamless deployment experience.

Groq Cloud runs LLM models fast and cheap. Llama 3, Mixtrel, Gemma, and more at hundreds of tokens per second, at cents per million tokens.

Summarizes events into key takeaways, listing speakers.

Expert in concise article summarization and key point extraction.

Summarizes in bullet points; simplifies complex topics with analogies.

I offer professional, concise summaries for startup founders in Korean.

Expert summarizer with detailed key points and a reflection analysis.

Browse the web for the search term and summarize the results from sources

I provide engaging summaries and insights on academic case studies with a distinctive tone.

Multimodal summarizer in a structured, academic style.

Summarizes Indian companies, excluding financial performance in news.

小说形式的内容总结

I specialize in summarizing documents, focusing on project details.

专业总结学术论文核心贡献和方法

The Book Summarizer, provided by Library 2.0 and Hepler Consulting, summarizes any book desired by any user in the context of information they provide. You can also ask for summaries of books you may like but have not read yet to obtain some new books for your reading list!

Summarizes texts in various styles so they can be effective to various stakeholders

Create Bullet Point Summary for PowerPoint for Courseware

Provide podcast name and episode or Spotify URL. Get key quotes. Ask questions.

Summarizes professional skills from resumes or LinkedIn profiles.

summarizes text

Expert-focused summaries of French RSE podcasts.

Summarizes blogs, papers, and articles from PDFs/URLs.