Best AI tools for< Summarize Process >

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.

Legalyze.ai is an AI-powered platform designed to assist lawyers in streamlining their document review process. It uses AI to summarize and extract key points from case documents, providing rapid insights, summaries, and answers to specific questions. The platform allows users to create document summaries in seconds, supports various file formats, and is externally security audited. Legalyze.ai aims to save time for legal professionals by automating tasks like fact-finding and document creation.

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.

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.

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.

Dili is an AI Diligence Platform that automates diligence processes for various industries such as real estate, private equity, and venture capital. It helps users extract key data, summarize documents, flag issues, and generate reports with high accuracy and efficiency. Dili's advanced AI technology enhances due diligence procedures, reduces human errors, and provides valuable insights for making informed decisions in high-stakes deals.

BuildShip is a batch processing tool for ChatGPT that allows users to process ChatGPT tasks in parallel on a spreadsheet UI with CSV/JSON import and export. It supports various OpenAI models, including GPT4, Claude 3, and Gemini. Users can start with readymade templates and customize them with their own logic and models. The data generated is stored securely on the user's own Google Cloud project, and team collaboration is supported with granular access control.

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.

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.

Any Summary is an AI tool that provides the capability to summarize any type of file using artificial intelligence technology. The tool is designed to condense lengthy documents, articles, or texts into concise summaries, making it easier for users to grasp the main points and key information quickly. With its advanced algorithms, Any Summary ensures accurate and efficient summarization, saving users time and effort in processing large amounts of content.

TakeNote is a cutting-edge speech-to-text AI that transforms audio and video into documents, boosting productivity and enhancing meeting experiences. Its advanced AI models provide exceptional accuracy, approaching human-level robustness and accuracy in English speech recognition. TakeNote AI empowers teams to transcribe meetings into accurate transcripts, generate precise summaries, analyze sentiment, and identify speakers, all while ensuring high levels of security and data protection.

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.

NutshellPro is an AI-powered tool that allows users to summarize any video or audio file. It uses advanced natural language processing and machine learning algorithms to extract the key points and generate a concise, easy-to-read summary. NutshellPro is designed to help users save time and effort by quickly getting the gist of any video or audio content.

Iflow is an AI assistant application designed to help users efficiently acquire knowledge in various areas, whether it's for daily entertainment, general life knowledge, or professional academic research. It provides real-time answers to questions, summarizes lengthy articles, and assists in structuring documents to enhance creativity and productivity. With Iflow, users can easily enter a state of flow where knowledge flows effortlessly. The application covers a wide range of topics and is equipped with advanced natural language processing capabilities to cater to diverse user needs.

Brevity is an AI tool designed to transform long-form content into clear and concise summaries. By utilizing advanced natural language processing algorithms, Brevity helps users save time by providing quick and accurate summaries of lengthy texts. With a user-friendly interface, Brevity is suitable for professionals, students, and anyone looking to streamline their reading and research process.

Any Summary is an AI-powered tool that can summarize any file, regardless of its length or complexity. With Any Summary, you can quickly and easily get a concise overview of any document, making it perfect for students, researchers, and professionals alike. Any Summary uses advanced natural language processing (NLP) techniques to extract the most important information from your documents, and it can summarize text in over 100 languages.

SummerEyes is an AI-powered tool that helps you summarize any text on the internet in one click. It is a browser extension that is available on major desktop browsers. SummerEyes uses the latest innovations in Natural Language Processing to read, understand, and re-write text, providing you with concise and accurate summaries in seconds. With SummerEyes, you can save time by getting to the point faster and processing more information more quickly.

Skim.ai is an AI-powered tool designed to assist users in summarizing and extracting key information from text. By leveraging advanced natural language processing algorithms, Skim.ai can quickly analyze and condense lengthy documents, articles, or web pages into concise summaries. Users can easily access the summarized content, saving time and effort in information consumption. Skim.ai aims to enhance productivity and efficiency by providing a streamlined way to digest and comprehend textual data.

SummaryGenerator.io is an AI-powered text summarizer that uses advanced algorithms and natural language processing to analyze the content and identify main ideas to generate relevant summaries. It generates summaries of varying lengths for any type of content.

Focal is an AI-powered tool that helps users summarize and organize their research and reading materials. It offers features such as AI-generated summaries, document highlighting, and collaboration tools. Focal is designed for researchers, students, professionals, and anyone who needs to efficiently process large amounts of information.

HolmesGPT is an open-source DevOps assistant powered by OpenAI or any tool-calling LLM of your choice. It helps in troubleshooting Kubernetes, incident response, ticket management, automated investigation, and runbook automation in plain English. The tool connects to existing observability data, is compliance-friendly, provides transparent results, supports extensible data sources, runbook automation, and integrates with existing workflows. Users can install HolmesGPT using Brew, prebuilt Docker container, Python Poetry, or Docker. The tool requires an API key for functioning and supports OpenAI, Azure AI, and self-hosted LLMs.

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.

Lumos is a Chrome extension powered by a local LLM co-pilot for browsing the web. It allows users to summarize long threads, news articles, and technical documentation. Users can ask questions about reviews and product pages. The tool requires a local Ollama server for LLM inference and embedding database. Lumos supports multimodal models and file attachments for processing text and image content. It also provides options to customize models, hosts, and content parsers. The extension can be easily accessed through keyboard shortcuts and offers tools for automatic invocation based on prompts.

Wechat AI Assistant is a project that enables multi-modal interaction with ChatGPT AI assistant within WeChat. It allows users to engage in conversations, role-playing, respond to voice messages, analyze images and videos, summarize articles and web links, and search the internet. The project utilizes the WeChatFerry library to control the Windows PC desktop WeChat client and leverages the OpenAI Assistant API for intelligent multi-modal message processing. Users can interact with ChatGPT AI in WeChat through text or voice, access various tools like bing_search, browse_link, image_to_text, text_to_image, text_to_speech, video_analysis, and more. The AI autonomously determines which code interpreter and external tools to use to complete tasks. Future developments include file uploads for AI to reference content, integration with other APIs, and login support for enterprise WeChat and WeChat official accounts.

LLM-Minutes-of-Meeting is a project showcasing NLP & LLM's capability to summarize long meetings and automate the task of delegating Minutes of Meeting(MoM) emails. It converts audio/video files to text, generates editable MoM, and aims to develop a real-time python web-application for meeting automation. The tool features keyword highlighting, topic tagging, export in various formats, user-friendly interface, and uses Celery for asynchronous processing. It is designed for corporate meetings, educational institutions, legal and medical fields, accessibility, and event coverage.

WDoc is a powerful Retrieval-Augmented Generation (RAG) system designed to summarize, search, and query documents across various file types. It supports querying tens of thousands of documents simultaneously, offers tailored summaries to efficiently manage large amounts of information, and includes features like supporting multiple file types, various LLMs, local and private LLMs, advanced RAG capabilities, advanced summaries, trust verification, markdown formatted answers, sophisticated embeddings, extensive documentation, scriptability, type checking, lazy imports, caching, fast processing, shell autocompletion, notification callbacks, and more. WDoc is ideal for researchers, students, and professionals dealing with extensive information sources.

wdoc is a powerful Retrieval-Augmented Generation (RAG) system designed to summarize, search, and query documents across various file types. It aims to handle large volumes of diverse document types, making it ideal for researchers, students, and professionals dealing with extensive information sources. wdoc uses LangChain to process and analyze documents, supporting tens of thousands of documents simultaneously. The system includes features like high recall and specificity, support for various Language Model Models (LLMs), advanced RAG capabilities, advanced document summaries, and support for multiple tasks. It offers markdown-formatted answers and summaries, customizable embeddings, extensive documentation, scriptability, and runtime type checking. wdoc is suitable for power users seeking document querying capabilities and AI-powered document summaries.

This repository contains a collection of papers and resources related to Large Language Models (LLMs), including their applications in various domains such as text generation, translation, question answering, and dialogue systems. The repository also includes discussions on the ethical and societal implications of LLMs. **Description** This repository is a collection of papers and resources related to Large Language Models (LLMs). LLMs are a type of artificial intelligence (AI) that can understand and generate human-like text. They have a wide range of applications, including text generation, translation, question answering, and dialogue systems. **For Jobs** - **Content Writer** - **Copywriter** - **Editor** - **Journalist** - **Marketer** **AI Keywords** - **Large Language Models** - **Natural Language Processing** - **Machine Learning** - **Artificial Intelligence** - **Deep Learning** **For Tasks** - **Generate text** - **Translate text** - **Answer questions** - **Engage in dialogue** - **Summarize text**

This repository provides a ready-to-run basic Slack AI solution that allows users to summarize threads and channels using OpenAI. Users can generate thread summaries, channel overviews, channel summaries since a specific time, and full channel summaries. The tool is powered by GPT-3.5-Turbo and an ensemble of NLP models. It requires Python 3.8 or higher, an OpenAI API key, Slack App with associated API tokens, Poetry package manager, and ngrok for local development. Users can customize channel and thread summaries, run tests with coverage using pytest, and contribute to the project for future enhancements.

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.

PaperQA is a minimal package for question and answering from PDFs or text files, providing very good answers with in-text citations. It uses OpenAI Embeddings to embed and search documents, and follows a process of embedding docs and queries, searching for top passages, creating summaries, scoring and selecting relevant summaries, putting summaries into prompt, and generating answers. Users can customize prompts and use various models for embeddings and LLMs. The tool can be used asynchronously and supports adding documents from paths, files, or URLs.

The Aleph Alpha Intelligence Layer️ offers a comprehensive suite of development tools for crafting solutions that harness the capabilities of large language models (LLMs). With a unified framework for LLM-based workflows, it facilitates seamless AI product development, from prototyping and prompt experimentation to result evaluation and deployment. The Intelligence Layer SDK provides features such as Composability, Evaluability, and Traceability, along with examples to get started. It supports local installation using poetry, integration with Docker, and access to LLM endpoints for tutorials and tasks like Summarization, Question Answering, Classification, Evaluation, and Parameter Optimization. The tool also offers pre-configured tasks for tasks like Classify, QA, Search, and Summarize, serving as a foundation for custom development.

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.

RSSBrew is a self-hosted RSS tool designed for aggregating multiple RSS feeds, applying custom filters, and generating AI summaries. It allows users to control content through custom filters based on Link, Title, and Description, with various match types and relationship operators. Users can easily combine multiple feeds into a single processed feed and use AI for article summarization and digest creation. The tool supports Docker deployment and regular installation, with ongoing documentation and development. Licensed under AGPL-3.0, RSSBrew is a versatile tool for managing and summarizing RSS content.

WilmerAI is a middleware system designed to process prompts before sending them to Large Language Models (LLMs). It categorizes prompts, routes them to appropriate workflows, and generates manageable prompts for local models. It acts as an intermediary between the user interface and LLM APIs, supporting multiple backend LLMs simultaneously. WilmerAI provides API endpoints compatible with OpenAI API, supports prompt templates, and offers flexible connections to various LLM APIs. The project is under heavy development and may contain bugs or incomplete code.

ERAG is an advanced system that combines lexical, semantic, text, and knowledge graph searches with conversation context to provide accurate and contextually relevant responses. This tool processes various document types, creates embeddings, builds knowledge graphs, and uses this information to answer user queries intelligently. It includes modules for interacting with web content, GitHub repositories, and performing exploratory data analysis using various language models.

The Local File Organizer is an AI-powered tool designed to help users organize their digital files efficiently and securely on their local device. By leveraging advanced AI models for text and visual content analysis, the tool automatically scans and categorizes files, generates relevant descriptions and filenames, and organizes them into a new directory structure. All AI processing occurs locally using the Nexa SDK, ensuring privacy and security. With support for multiple file types and customizable prompts, this tool aims to simplify file management and bring order to users' digital lives.

Transcription Stream is a self-hosted diarization service that works offline, allowing users to easily transcribe and summarize audio files. It includes a web interface for file management, Ollama for complex operations on transcriptions, and Meilisearch for fast full-text search. Users can upload files via SSH or web interface, with output stored in named folders. The tool requires a NVIDIA GPU and provides various scripts for installation and running. Ports for SSH, HTTP, Ollama, and Meilisearch are specified, along with access details for SSH server and web interface. Customization options and troubleshooting tips are provided in the documentation.

Scriberr is a self-hostable AI audio transcription app that utilizes open-source Whisper models from OpenAI for transcribing audio files locally on user's hardware. It offers fast transcription with customizable compute settings, local transcription on device, API endpoints for automation, and integration with other tools. Users can optionally summarize transcripts using ChatGPT or Ollama, with support for custom prompts. The app is mobile-ready, simple, and easy to use, with planned features including speaker diarization, audio recording, file actions, full text fuzzy search, tag-based organization, follow-along text with playback, edit summaries, export options, and support for other languages. Despite being in beta, Scriberr is functional and usable, albeit with some rough edges and minor bugs.

Awesome-Segment-Anything is a powerful tool for segmenting and extracting information from various types of data. It provides a user-friendly interface to easily define segmentation rules and apply them to text, images, and other data formats. The tool supports both supervised and unsupervised segmentation methods, allowing users to customize the segmentation process based on their specific needs. With its versatile functionality and intuitive design, Awesome-Segment-Anything is ideal for data analysts, researchers, content creators, and anyone looking to efficiently extract valuable insights from complex datasets.

我会将复杂的文本信息提炼成流程化的表达，辅助你快速了解一个流程。

Processes links for context-rich, concise advice

With this bot process of making notes will be easier. Send your text and wait for the result

Expert in concise article summarization and key point extraction.

Assistant to help researchers with thesis research and documentation process.

Summarizes texts in various languages, matching user's language.

Deep learning researcher explaining Google Gemini from PDFs.

A GPT with Knowledge of the most recent papers in Machine Learning`

I create formal, one-sentence summaries from text blocks.

I explain AI papers in Chinese.

Eu faço resumos de pedidos de informação e recursos a órgãos públicos brasileiros. For English, please ask “summarise it in English please”.

Summarizes class sessions with structured details and clarity.

I create bilingual, bullet-point summaries.

人工知能に関する論文PDFをアップロードしてください。ユーザーが指定したキャラがAI論文を解説します。

Summarizes texts and images into clear, concise summaries.

Your AI concierge for finding and summarizing AI articles.

I guide on optimizing Korean sentences for embeddings.

A formal tone GPT for crafting work plans and summaries.

Expert in Marian NMT models and training

Professionally finds top custom GPT models for specific topics