Best AI tools for< Create Document Summaries >

goPDF is a comprehensive PDF management platform that offers a suite of tools for creating, converting, capturing, and interacting with PDFs. With its advanced features and user-friendly API, goPDF simplifies the handling of PDF documents for various purposes, including collaborative work, quick assistance, and engaging training. The platform's AI capabilities enhance the user experience by providing interactive reading, content summarization, and chatbot functionality.

SlideSpeak is an AI-powered tool designed to help users create presentations, summarize documents, and generate presentations with the assistance of AI technology. Users can easily upload PowerPoint, Word, or PDF files and utilize the ChatGPT-powered platform to summarize content, generate presentations, and interact with documents through chat. The platform aims to enhance productivity by providing efficient AI-driven solutions for document management and presentation creation.

AI Document Creator is an innovative tool that leverages artificial intelligence to assist users in generating various types of documents efficiently. The application utilizes advanced algorithms to analyze input data and create well-structured documents tailored to the user's needs. With AI Document Creator, users can save time and effort in document creation, ensuring accuracy and consistency in their outputs. The tool is user-friendly and accessible, making it suitable for individuals and businesses seeking to streamline their document creation process.

AskDocs is an AI-powered document assistant designed to help users read faster and create better work content. It offers cross-document analysis, quick answers linked to documents, one-click summaries of key concepts, and the ability to understand confusing information. With a focus on enhancing productivity, AskDocs is trusted by students, knowledge workers, and small businesses to streamline research, meeting notes, emails, and more. The tool supports various document types and provides instant answers directly linked to sources within the uploaded documents.

Magic Marker is an AI tool that allows users to unlock document insights effortlessly by highlighting specific information using natural language queries. It can quickly identify skills in resumes, specific ingredients in recipes, and key information from book chapters to create quick summaries. The tool is designed to streamline various tasks related to document analysis through AI technology.

DocsAI is an AI-powered document companion that helps you organize, search, and chat with your documents. It integrates with various sources, including websites, text files, PDFs, Docx, Notion, and Confluence. You can customize the companion's appearance to match your brand and suggest better answers to improve its accuracy. DocsAI also offers a chat widget that can be embedded on any website, allowing you to chat with your documents and get summaries, insights, and leads. It is mobile and tablet-friendly, and you can export chats and analyze data to identify trends and improve customer satisfaction. DocsAI is open source and offers custom prompts and multi-language support.

Fluint is an AI-powered tool designed to help sales professionals create compelling business cases and streamline the sales process. It offers features such as call recording, collaborative document editing, data-backed suggestions, and automated playbooks. Fluint aims to close the execution gap in the sales process by providing value-based content and enabling champions to sell internally. The tool helps users generate executive summaries, discovery suggestions, and deal briefs efficiently, leading to increased win rates and faster deal reviews.

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.

AnythingLLM is an all-in-one AI application designed for everyone. It offers a comprehensive suite of tools for working with LLMs (Large Language Models), documents, and agents in a fully private manner. Users can download AnythingLLM for Desktop on Windows, MacOS, and Linux, enabling flexible one-click installation. The application supports custom model integration, including closed-source models like GPT-4 and custom fine-tuned models like Llama2. With the ability to handle various document formats beyond PDFs, AnythingLLM provides tailored solutions with locally running defaults for privacy. Additionally, users can access AnythingLLM Cloud for extended functionalities.

Write Conch is an AI-powered writing assistant that offers a range of tools to enhance your writing experience. With over 100 AI writing templates, you can effortlessly create essays, articles, ad copy, and more. The AI Document Reader simplifies complex texts, providing summaries, definitions, and explanations to improve comprehension. Additionally, Write Conch includes AI detection and humanization tools to ensure the originality and authenticity of your content. Whether you're a student, marketer, teacher, researcher, or content creator, Write Conch has the tools to meet your writing needs.

Legalyze.ai is an AI-powered platform designed to assist legal professionals in reviewing and summarizing medical records efficiently. The application utilizes artificial intelligence to transform thousands of medical records into comprehensive chronologies, saving time and improving accuracy. With features like Case Chat AI, Drafting AI, and Handwriting AI, Legalyze.ai streamlines the process of analyzing medical data and drafting legal documents. The platform is integrated with leading LegalTech case management systems and prioritizes enterprise-level security to ensure data protection.

Aethera is a collaborative knowledge discovery platform that leverages advanced AI models to help teams and individuals understand documents, YouTube videos, and websites without the need to read them. It offers powerful features for organizing, personalizing, and discovering information, along with document management tools, multilingual support, and the ability to summarize and compare multiple documents. Aethera also allows users to create personalized AI assistants, chat with sets of documents using personas, and work collaboratively within organizations. The platform is designed to streamline knowledge discovery processes and boost productivity by providing tailored insights and summaries from various sources.

PatentPal is an AI tool designed for automating mechanical writing in patent applications. It allows users to input their claims by dropping a document into the browser, generate specifications and figures with one click, and export drafts into Word and Visio or PowerPoint. The tool generates flowcharts for methods, block diagrams for systems and devices, detailed descriptions of figures, abstracts, and summaries to support all claims. Users can customize generated phrases, create multiple profiles, and switch between them instantly. PatentPal simplifies the patent application process by leveraging generative AI technology.

ReadPartner is an AI-powered tool that offers automated news digests and quick summaries of websites, videos, and documents. It simplifies media consumption by providing custom automated news digest deliveries based on language, region, and topics through email, SMS, or messaging apps. Users have full control over summary and digest settings, tailoring them to their exact needs. The tool is designed to bring AI to every household and organization, offering multilingual performance and breaking language boundaries. It summarizes web content, videos, and documents in multiple languages, making it suitable for casual users, students, and professionals to save time and enhance productivity.

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.

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.

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.

Heidi is an AI-powered medical scribe that helps clinicians save time and improve patient care. It uses natural language processing to capture every detail of a patient visit, and then automatically generates a note that is tailored to the clinician's preferences. Heidi can also be used to create letters, add billing codes, and generate patient summaries. It is trusted by clinicians and healthcare staff in over 35 countries.

UpSum is a text summarization tool that uses advanced AI technology to condense lengthy texts into concise summaries. It is designed to save users time and effort by extracting the key points and insights from documents, research papers, news articles, and other written content. UpSum's AI algorithm analyzes the text, identifies the most important sentences and phrases, and assembles them into a coherent summary that accurately represents the main ideas and key takeaways of the original text. The tool is easy to use, simply upload or paste your text, select the desired summary length, and click the summarize button. UpSum is available as a free web-based tool, as well as a premium subscription with additional features and capabilities.

Alter is an AI tool designed for Apple power users to enhance productivity by leveraging AI capabilities that understand tasks and fetch context from various applications. It offers immediate AI-driven actions to streamline tasks such as writing, coding, managing emails, creating pitch decks, handling social media, translating documents, fixing grammar, and generating YouTube summaries. Alter works seamlessly across Finder, Apple Mail, Keynote, browsers, and other macOS apps, providing mnemonic shortcuts and task-based suggestions. Users can customize their AI actions and access specialized AI experts for guidance in Marketing, Technology, and Business.

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 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.

AI Chunking is a powerful Python library for semantic document chunking and enrichment using AI. It provides intelligent document chunking capabilities with various strategies to split text while preserving semantic meaning, particularly useful for processing markdown documentation. The library offers multiple chunking strategies such as Recursive Text Splitting, Section-based Semantic Chunking, and Base Chunking. Users can configure chunk sizes, overlap, and support various text formats. The tool is easy to extend with custom chunking strategies, making it versatile for different document processing needs.

Advanced RAG Techniques is a comprehensive collection of cutting-edge Retrieval-Augmented Generation (RAG) tutorials aimed at enhancing the accuracy, efficiency, and contextual richness of RAG systems. The repository serves as a hub for state-of-the-art RAG enhancements, comprehensive documentation, practical implementation guidelines, and regular updates with the latest advancements. It covers a wide range of techniques from foundational RAG methods to advanced retrieval methods, iterative and adaptive techniques, evaluation processes, explainability and transparency features, and advanced architectures integrating knowledge graphs and recursive processing.

Local Deep Research is a powerful AI-powered research assistant that performs deep, iterative analysis using multiple LLMs and web searches. It can be run locally for privacy or configured to use cloud-based LLMs for enhanced capabilities. The tool offers advanced research capabilities, flexible LLM support, rich output options, privacy-focused operation, enhanced search integration, and academic & scientific integration. It also provides a web interface, command line interface, and supports multiple LLM providers and search engines. Users can configure AI models, search engines, and research parameters for customized research experiences.

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.

The 'ollama-ebook-summary' repository is a Python project that creates bulleted notes summaries of books and long texts, particularly in epub and pdf formats with ToC metadata. It automates the extraction of chapters, splits them into ~2000 token chunks, and allows for asking arbitrary questions to parts of the text for improved granularity of response. The tool aims to provide summaries for each page of a book rather than a one-page summary of the entire document, enhancing content curation and knowledge sharing capabilities.

Zep is a long-term memory service for AI Assistant apps. With Zep, you can provide AI assistants with the ability to recall past conversations, no matter how distant, while also reducing hallucinations, latency, and cost. Zep persists and recalls chat histories, and automatically generates summaries and other artifacts from these chat histories. It also embeds messages and summaries, enabling you to search Zep for relevant context from past conversations. Zep does all of this asyncronously, ensuring these operations don't impact your user's chat experience. Data is persisted to database, allowing you to scale out when growth demands. Zep also provides a simple, easy to use abstraction for document vector search called Document Collections. This is designed to complement Zep's core memory features, but is not designed to be a general purpose vector database. Zep allows you to be more intentional about constructing your prompt: 1. automatically adding a few recent messages, with the number customized for your app; 2. a summary of recent conversations prior to the messages above; 3. and/or contextually relevant summaries or messages surfaced from the entire chat session. 4. and/or relevant Business data from Zep Document Collections.

This repository contains a simple blog application built using Python and Flask framework. It allows users to create, read, update, and delete blog posts. The application uses SQLite database for storing blog data and provides a basic user interface for interacting with the blog. The code is well-organized and easy to understand, making it suitable for beginners looking to learn web development with Python and Flask.

AnnA is a Python script designed to create filtered decks in optimal review order for Anki flashcards. It uses Machine Learning / AI to ensure semantically linked cards are reviewed far apart. The script helps users manage their daily reviews by creating special filtered decks that prioritize reviewing cards that are most different from the rest. It also allows users to reduce the number of daily reviews while increasing retention and automatically identifies semantic neighbors for each note.

AiDE is a lightweight framework for structuring AI-assisted development. It standardizes project context management, documentation, and collaboration, ensuring the assistant stays informed and productive throughout the project lifecycle. It offers drop-in simplicity with no dependencies, versatile usage for new and existing projects, and standardized templates for roadmaps, tasks, decisions, and sessions. The framework helps track project state, decision records, task management, and session tracking. It encourages best practices like starting each session by reviewing `.context` files, tracking task completion, documenting key decisions, and recording session summaries. The folder structure includes files for current state, roadmap, tasks, decisions, and sessions, with specific directories for active, completed, hold, and planned tasks. Contributions are welcome to enhance the usability of `.context`, and optional global rules for AI assistants are provided to optimize integration with the framework.

GraphRAG Local Ollama is a repository that offers an adaptation of Microsoft's GraphRAG, customized to support local models downloaded using Ollama. It enables users to leverage local models with Ollama for large language models (LLMs) and embeddings, eliminating the need for costly OpenAPI models. The repository provides a simple setup process and allows users to perform question answering over private text corpora by building a graph-based text index and generating community summaries for closely-related entities. GraphRAG Local Ollama aims to improve the comprehensiveness and diversity of generated answers for global sensemaking questions over datasets.

Describer is a tool that analyzes codebases using AI to generate architectural overviews, documentation, explanations, bug reports, and more. It scans all files in a directory and uses Google's Gemini AI to provide insights such as markdown architectural overviews, codebase summaries, code pattern analysis, codebase structure documentation, bug identification, and test idea generation. The tool respects .gitignore rules by default but allows users to include/exclude specific files or patterns for analysis.

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.

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 includes a process of embedding docs, queries, searching for top passages, creating summaries, using an LLM to re-score and select relevant summaries, putting summaries into prompt, and generating answers. The tool can be used to answer specific questions related to scientific research by leveraging citations and relevant passages from documents.

Swarms provides simple, reliable, and agile tools to create your own Swarm tailored to your specific needs. Currently, Swarms is being used in production by RBC, John Deere, and many AI startups.

ChatWeb is a tool that can crawl web pages, extract text from PDF, DOCX, TXT files, and generate an embedded summary. It can answer questions based on text content using chatAPI and embeddingAPI based on GPT3.5. The tool calculates similarity scores between text vectors to generate summaries, performs nearest neighbor searches, and designs prompts to answer user questions. It aims to extract relevant content from text and provide accurate search results based on keywords. ChatWeb supports various modes, languages, and settings, including temperature control and PostgreSQL integration.

An open-source AI assistant for taking meeting notes that captures live meeting audio, transcribes it in real-time, and generates summaries while ensuring user privacy. Perfect for teams to focus on discussions while automatically capturing and organizing meeting content without external servers or complex infrastructure. Features include modern UI, real-time audio capture, speaker diarization, local processing for privacy, and more. The tool also offers a Rust-based implementation for better performance and native integration, with features like live transcription, speaker diarization, and a rich text editor for notes. Future plans include database connection for saving meeting minutes, improving summarization quality, and adding download options for meeting transcriptions and summaries. The backend supports multiple LLM providers through a unified interface, with configurations for Anthropic, Groq, and Ollama models. System architecture includes core components like audio capture service, transcription engine, LLM orchestrator, data services, and API layer. Prerequisites for setup include Node.js, Python, FFmpeg, and Rust. Development guidelines emphasize project structure, testing, documentation, type hints, and ESLint configuration. Contributions are welcome under the MIT License.

Awesome Generative AI is a curated list of modern Generative Artificial Intelligence projects and services. Generative AI technology creates original content like images, sounds, and texts using machine learning algorithms trained on large data sets. It can produce unique and realistic outputs such as photorealistic images, digital art, music, and writing. The repo covers a wide range of applications in art, entertainment, marketing, academia, and computer science.

A formal tone GPT for crafting work plans and summaries.

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

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更好地进行有关中国《2024年政府工作报告》的英文内容的翻译和创作。

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Analyzes writing samples to create custom style guides for blogs and newsletters. Upload a document or copy/paste your writing sample in the chat window below.