AI tools for Summarization
Related Tools:
Rizemail
Rizemail is an AI-powered email summarization tool that helps users quickly get to the core of their unread newsletters, long email threads, and cluttered commercial communications. By forwarding an email to [email protected], the tool uses AI to summarize the content and returns the key information you need, all within your inbox. Rizemail aims to save users time by providing fast and secure email summarization services, with a focus on user privacy and convenience.
Video Highlight
Video Highlight is an AI-powered tool that helps you summarize and take notes from videos. It uses the latest AI technology to generate timestamped summaries and transcripts, highlight key moments, and engage in interactive chats. With Video Highlight, you can save hours of research time and focus on exploring, analyzing, and absorbing content.
QuickVid
QuickVid is an AI tool designed to save time by providing intelligent summarization of YouTube videos. By leveraging cutting-edge Artificial Intelligence technology, the application analyzes video content and generates concise summaries that capture the essence of the video. Users can quickly grasp the key points of any video without having to watch the entire content. QuickVid aims to streamline information consumption and enhance productivity by offering efficient video summarization.
Summate.it
Summate.it is a tool that uses OpenAI to quickly summarize web articles. It is simple and clean, and it can be used to summarize any web article by simply pasting the URL into the text box. Summate.it is a great way to quickly get the gist of an article without having to read the entire thing.
iTextMaster
iTextMaster is an AI-powered tool that allows users to analyze, summarize, and chat with text-based documents, including PDFs and web pages. It utilizes ChatGPT technology to provide intelligent answers to questions and extract key information from documents. The tool is designed to simplify text processing, improve understanding efficiency, and save time. iTextMaster supports multiple languages and offers a user-friendly interface for easy navigation and interaction.
Listen411
Listen411 is a podcast transcription and summarization tool that uses AI to quickly and cheaply transcribe audio files. It supports multiple file formats and languages, and offers a pay-as-you-go pricing model. The transcripts are available in multiple file formats, including plain text, SRT, VTT, and JSON.
SpeakNotes
SpeakNotes is a revolutionary voice note summarizer that uses advanced AI technology to condense lengthy audio recordings into concise, easy-to-read summaries. With SpeakNotes, you can save time and effort by quickly capturing the key points of your voice notes, making it an invaluable tool for students, professionals, and anyone who relies on audio recordings for communication and information gathering.
YouBrief
YouBrief is an AI-powered platform that provides instant YouTube video summaries for efficient learning. It offers quick summaries of various YouTube videos, highlighting key ideas and insights to help users save time and stay informed. With YouBrief, users can easily absorb essential information from a wide range of content, enhancing their learning experience and knowledge acquisition.
Summarize Paper .com
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.
NotebookLM
NotebookLM is an AI-powered note-taking and research assistant that leverages Google's Gemini 1.5 Pro model. It helps users organize and analyze information from uploaded documents, providing personalized insights and in-line citations. NotebookLM prioritizes user privacy by not using personal data to train its AI, ensuring the security of sensitive information. The application is designed to assist users in transforming information into actionable insights efficiently and collaboratively.
SceneXplain
SceneXplain is a cutting-edge AI tool that specializes in generating descriptive captions for images and summarizing videos. It leverages advanced artificial intelligence algorithms to analyze visual content and provide accurate and concise textual descriptions. With SceneXplain, users can easily create engaging captions for their images and obtain quick summaries of lengthy videos. The tool is designed to streamline the process of content creation and enhance the accessibility of visual media for a wide range of applications.
RecapioGPT
RecapioGPT is an AI-powered writing assistant that helps you write better, faster, and more efficiently. With RecapioGPT, you can generate text, translate languages, summarize documents, and more. RecapioGPT is easy to use and can be integrated with your favorite writing tools.
Tinq.ai
Tinq.ai is a natural language processing (NLP) tool that provides a range of text analysis capabilities through its API. It offers tools for tasks such as plagiarism checking, text summarization, sentiment analysis, named entity recognition, and article extraction. Tinq.ai's API can be integrated into applications to add NLP functionality, such as content moderation, sentiment analysis, and text rewriting.
Blog2Buzz
Blog2Buzz is an AI-powered tool designed to automate the process of discovering trending blog posts and creating engaging tweets. It caters to developers, students, security specialists, and individuals in the tech industry who struggle to stay updated with the latest market technology due to time constraints. By utilizing web scraping and AI assistance, Blog2Buzz offers access to the latest dev.to blogs and helps summarize content or craft compelling Twitter posts and Medium articles. The tool not only saves time but also promotes knowledge sharing by enabling users to disseminate information effectively.
ScreenApp
ScreenApp is an AI-powered tool that serves as a notetaker, transcription tool, summarizer, and recorder for audio and video content. It offers a wide range of features to help users efficiently manage their recordings and meetings. ScreenApp is designed to capture and convert recordings into actionable insights, making it a valuable assistant for various tasks and industries.
RegexMy
RegexMy is an AI-powered platform that offers solutions for file translation, localization, summarization, and reporting. The platform is designed with cutting-edge technology to enhance document and data handling efficiency, accuracy, and convenience. Users can leverage AI tools to streamline various tasks and benefit from features like Files AI Assistant, Regex Playground, and XPath Playground.
Brevity
Brevity is an AI tool designed to transform long-form content into clear and concise summaries. It helps users save time by providing quick and efficient summaries of lengthy texts. With Brevity, users can easily extract key information without having to read through entire documents. The tool is user-friendly and suitable for various industries and purposes, making it a valuable asset for anyone looking to streamline their reading and research process.
Long Summary
Long Summary is an AI tool that allows users to generate custom-length summaries from large texts with no length limits. It overcomes the constraints of regular AI models by providing accurate and coherent long summaries without losing essential details. The tool is ideal for businesses, professionals, and developers seeking detailed overviews without compromising critical information. Long Summary offers features such as handling large texts and files, generating custom-length summaries, and providing a developer API for integration into applications.
TLDR This
TLDR This is an online article summarizer tool that helps users quickly understand the essence of lengthy content. It uses AI to analyze any piece of text and summarize it automatically, in a way that makes it easy to read, understand, and act on. TLDR This also extracts essential metadata such as author and date information, related images, and the title. Additionally, it estimates the reading time for news articles and blog posts, ensuring users have all the necessary information consolidated in one place for efficient reading. TLDR This is designed for students, writers, teachers, institutions, journalists, and any internet user who needs to quickly understand the essence of lengthy content.
SumyAI
SumyAI is an AI-powered tool that helps users get 10x faster insights from YouTube videos. It condenses lengthy videos into key points for faster absorption, saving time and enhancing retention. SumyAI also provides summaries of events and conferences, podcasts and interviews, educational tutorials, product reviews, news reports, and entertainment.
Website Speed Reader
Expert in website summarization, providing clear and concise info summaries. You can also ask it to find specific info from the site.
Transcript GPT
Give me an audio transcript and I'll give you summarization, insights and actionable plan.
Voxscript
Quick YouTube, US equity data, and web page summarization with vector transcript search -- no logins needed.
Video Insights: Summaries/Transcription/Vision
Chat with any video or audio. High-quality search, summarization, insights, multi-language transcriptions, and more. We currently support Youtube and files uploaded on our website.
Tem Precedente: Resumo de decisões da CGU
Eu faço resumos de pedidos de informação e recursos a órgãos públicos brasileiros. For English, please ask “summarise it in English please”.
Ringkesan
Nyimpulkeun sareng nimba poin konci tina téks, artikel, video, dokumén sareng seueur deui
terraform-genai-doc-summarization
This solution showcases how to summarize a large corpus of documents using Generative AI. It provides an end-to-end demonstration of document summarization going all the way from raw documents, detecting text in the documents and summarizing the documents on-demand using Vertex AI LLM APIs, Cloud Vision Optical Character Recognition (OCR) and BigQuery.
vectara-answer
Vectara Answer is a sample app for Vectara-powered Summarized Semantic Search (or question-answering) with advanced configuration options. For examples of what you can build with Vectara Answer, check out Ask News, LegalAid, or any of the other demo applications.
h2ogpt
h2oGPT is an Apache V2 open-source project that allows users to query and summarize documents or chat with local private GPT LLMs. It features a private offline database of any documents (PDFs, Excel, Word, Images, Video Frames, Youtube, Audio, Code, Text, MarkDown, etc.), a persistent database (Chroma, Weaviate, or in-memory FAISS) using accurate embeddings (instructor-large, all-MiniLM-L6-v2, etc.), and efficient use of context using instruct-tuned LLMs (no need for LangChain's few-shot approach). h2oGPT also offers parallel summarization and extraction, reaching an output of 80 tokens per second with the 13B LLaMa2 model, HYDE (Hypothetical Document Embeddings) for enhanced retrieval based upon LLM responses, a variety of models supported (LLaMa2, Mistral, Falcon, Vicuna, WizardLM. With AutoGPTQ, 4-bit/8-bit, LORA, etc.), GPU support from HF and LLaMa.cpp GGML models, and CPU support using HF, LLaMa.cpp, and GPT4ALL models. Additionally, h2oGPT provides Attention Sinks for arbitrarily long generation (LLaMa-2, Mistral, MPT, Pythia, Falcon, etc.), a UI or CLI with streaming of all models, the ability to upload and view documents through the UI (control multiple collaborative or personal collections), Vision Models LLaVa, Claude-3, Gemini-Pro-Vision, GPT-4-Vision, Image Generation Stable Diffusion (sdxl-turbo, sdxl) and PlaygroundAI (playv2), Voice STT using Whisper with streaming audio conversion, Voice TTS using MIT-Licensed Microsoft Speech T5 with multiple voices and Streaming audio conversion, Voice TTS using MPL2-Licensed TTS including Voice Cloning and Streaming audio conversion, AI Assistant Voice Control Mode for hands-free control of h2oGPT chat, Bake-off UI mode against many models at the same time, Easy Download of model artifacts and control over models like LLaMa.cpp through the UI, Authentication in the UI by user/password via Native or Google OAuth, State Preservation in the UI by user/password, Linux, Docker, macOS, and Windows support, Easy Windows Installer for Windows 10 64-bit (CPU/CUDA), Easy macOS Installer for macOS (CPU/M1/M2), Inference Servers support (oLLaMa, HF TGI server, vLLM, Gradio, ExLLaMa, Replicate, OpenAI, Azure OpenAI, Anthropic), OpenAI-compliant, Server Proxy API (h2oGPT acts as drop-in-replacement to OpenAI server), Python client API (to talk to Gradio server), JSON Mode with any model via code block extraction. Also supports MistralAI JSON mode, Claude-3 via function calling with strict Schema, OpenAI via JSON mode, and vLLM via guided_json with strict Schema, Web-Search integration with Chat and Document Q/A, Agents for Search, Document Q/A, Python Code, CSV frames (Experimental, best with OpenAI currently), Evaluate performance using reward models, and Quality maintained with over 1000 unit and integration tests taking over 4 GPU-hours.
quickvid
QuickVid is an open-source video summarization tool that uses AI to generate summaries of YouTube videos. It is built with Whisper, GPT, LangChain, and Supabase. QuickVid can be used to save time and get the essence of any YouTube video with intelligent summarization.
summarize
The 'summarize' tool is designed to transcribe and summarize videos from various sources using AI models. It helps users efficiently summarize lengthy videos, take notes, and extract key insights by providing timestamps, original transcripts, and support for auto-generated captions. Users can utilize different AI models via Groq, OpenAI, or custom local models to generate grammatically correct video transcripts and extract wisdom from video content. The tool simplifies the process of summarizing video content, making it easier to remember and reference important information.
factualNLG
FactualNLG is a tool designed to analyze the consistency of edits in summaries. It includes a benchmark with various LLM models, data release for the SummEdits benchmark, explanation analysis for identifying inconsistent summaries, and prompts used in experiments.
llama_ros
This repository provides a set of ROS 2 packages to integrate llama.cpp into ROS 2. By using the llama_ros packages, you can easily incorporate the powerful optimization capabilities of llama.cpp into your ROS 2 projects by running GGUF-based LLMs and VLMs.
awesome-generative-information-retrieval
This repository contains a curated list of resources on generative information retrieval, including research papers, datasets, tools, and applications. Generative information retrieval is a subfield of information retrieval that uses generative models to generate new documents or passages of text that are relevant to a given query. This can be useful for a variety of tasks, such as question answering, summarization, and document generation. The resources in this repository are intended to help researchers and practitioners stay up-to-date on the latest advances in generative information retrieval.
Large-Language-Models-play-StarCraftII
Large Language Models Play StarCraft II is a project that explores the capabilities of large language models (LLMs) in playing the game StarCraft II. The project introduces TextStarCraft II, a textual environment for the game, and a Chain of Summarization method for analyzing game information and making strategic decisions. Through experiments, the project demonstrates that LLM agents can defeat the built-in AI at a challenging difficulty level. The project provides benchmarks and a summarization approach to enhance strategic planning and interpretability in StarCraft II gameplay.
langchain-examples
This repository contains a collection of apps powered by LangChain, an open-source framework designed to aid the development of applications leveraging large language models (LLMs). It can be used for various tasks such as chatbots, text summarisation, data generation, code understanding, question answering, and evaluation. The repository showcases different applications built using LangChain and other tools like OpenAI, Chroma, Gemini, Helicone, Serper API, Pinecone, and Tavily Search API.
summary-of-a-haystack
This repository contains data and code for the experiments in the SummHay paper. It includes publicly released Haystacks in conversational and news domains, along with scripts for running the pipeline, visualizing results, and benchmarking automatic evaluation. The data structure includes topics, subtopics, insights, queries, retrievers, summaries, evaluation summaries, and documents. The pipeline involves scripts for retriever scores, summaries, and evaluation scores using GPT-4o. Visualization scripts are provided for compiling and visualizing results. The repository also includes annotated samples for benchmarking and citation information for the SummHay paper.
Hands-On-LLM-Applications-Development
Hands-On-LLM-Applications-Development is a repository focused on developing applications using Large Language Models (LLMs). The repository provides hands-on tutorials, guides, and resources for building various applications such as LangChain for LLM applications, Retrieval Augmented Generation (RAG) with LangChain, building LLM agents with LangGraph, and advanced LangChain with OpenAI. It covers topics like prompt engineering for LLMs, building applications using HuggingFace open-source models, LLM fine-tuning, and advanced RAG applications.
PocketFlow
Pocket Flow is a 100-line minimalist LLM framework designed for (Multi-)Agents, Task Decomposition, RAG, etc. It aims to be the framework used by LLMs, focusing on stripping away low-level implementation details and emphasizing high-level programming paradigms. Pocket Flow serves as a learning resource and provides a core abstraction of a nested directed graph for breaking down tasks into multiple steps.
dotnet-ai-workshop
The .NET AI Workshop is a comprehensive guide designed to help developers add AI features to .NET applications. It covers various AI-based features such as classification, summarization, data extraction/cleaning, anomaly detection, translation, sentiment detection, semantic search, Q&A chatbots, and voice assistants. The workshop is tailored for developers new to AI in .NET applications, focusing on the usage of AI services without the need for prior AI technology knowledge. It provides examples using .NET and C# with a focus on AI topics, aiming to enhance productivity and automation in applications.
langchain_dart
LangChain.dart is a Dart port of the popular LangChain Python framework created by Harrison Chase. LangChain provides a set of ready-to-use components for working with language models and a standard interface for chaining them together to formulate more advanced use cases (e.g. chatbots, Q&A with RAG, agents, summarization, extraction, etc.). The components can be grouped into a few core modules: * **Model I/O:** LangChain offers a unified API for interacting with various LLM providers (e.g. OpenAI, Google, Mistral, Ollama, etc.), allowing developers to switch between them with ease. Additionally, it provides tools for managing model inputs (prompt templates and example selectors) and parsing the resulting model outputs (output parsers). * **Retrieval:** assists in loading user data (via document loaders), transforming it (with text splitters), extracting its meaning (using embedding models), storing (in vector stores) and retrieving it (through retrievers) so that it can be used to ground the model's responses (i.e. Retrieval-Augmented Generation or RAG). * **Agents:** "bots" that leverage LLMs to make informed decisions about which available tools (such as web search, calculators, database lookup, etc.) to use to accomplish the designated task. The different components can be composed together using the LangChain Expression Language (LCEL).
Awesome-Code-LLM
Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, in lowercase letters: 'description' (detailed description of the repo, must be less than 400 words，Ensure that no line breaks and quotation marks.),'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,user may use those keyword to find the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in lowercase letters), 'answer' (in english languages)
DistiLlama
DistiLlama is a Chrome extension that leverages a locally running Large Language Model (LLM) to perform various tasks, including text summarization, chat, and document analysis. It utilizes Ollama as the locally running LLM instance and LangChain for text summarization. DistiLlama provides a user-friendly interface for interacting with the LLM, allowing users to summarize web pages, chat with documents (including PDFs), and engage in text-based conversations. The extension is easy to install and use, requiring only the installation of Ollama and a few simple steps to set up the environment. DistiLlama offers a range of customization options, including the choice of LLM model and the ability to configure the summarization chain. It also supports multimodal capabilities, allowing users to interact with the LLM through text, voice, and images. DistiLlama is a valuable tool for researchers, students, and professionals who seek to leverage the power of LLMs for various tasks without compromising data privacy.
easy-web-summarizer
A Python script leveraging advanced language models to summarize webpages and youtube videos directly from URLs. It integrates with LangChain and ChatOllama for state-of-the-art summarization, providing detailed summaries for quick understanding of web-based documents. The tool offers a command-line interface for easy use and integration into workflows, with plans to add support for translating to different languages and streaming text output on gradio. It can also be used via a web UI using the gradio app. The script is dockerized for easy deployment and is open for contributions to enhance functionality and capabilities.
fairseq
Fairseq is a sequence modeling toolkit that enables researchers and developers to train custom models for translation, summarization, language modeling, and other text generation tasks. It provides reference implementations of various sequence modeling papers covering CNN, LSTM networks, Transformer networks, LightConv, DynamicConv models, Non-autoregressive Transformers, Finetuning, and more. The toolkit supports multi-GPU training, fast generation on CPU and GPU, mixed precision training, extensibility, flexible configuration based on Hydra, and full parameter and optimizer state sharding. Pre-trained models are available for translation and language modeling with a torch.hub interface. Fairseq also offers pre-trained models and examples for tasks like XLS-R, cross-lingual retrieval, wav2vec 2.0, unsupervised quality estimation, and more.