Best AI tools for< Extract Key Plot Points >

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.

Suinfy is an AI-powered YouTube video summarizer that helps you save time by extracting the key ideas from long videos. With Suinfy, you can quickly understand the core message of any YouTube video using our cutting-edge summary AI technology. Our YouTube summary tool is designed to enhance your learning experience by extracting the most important points from lengthy videos, saving you time and effort. Suinfy also supports multilingual translations in over 40 languages, eliminating any obstacles to comprehension. Additionally, our detailed timestamp guides allow you to effortlessly move through video content with our detailed, timestamped summary paragraphs. You can easily disseminate video summaries and key takeaways with colleagues, friends, or across your social networks, enhancing the accessibility of video content.

MBox is an AI-powered platform designed to enhance your Google Meets experience by providing features such as AI-powered summaries, live transcriptions, and more. It streamlines meetings by capturing key points, boosting productivity, and ensuring privacy. The platform aims to save time, improve focus, and elevate the overall meeting experience through AI technology.

Bunni is a revolutionary tool that allows you to chat with your PDF documents, making it easier than ever to summarize, extract information, and ask questions about any PDF file. With Bunni, you can quickly and easily get the information you need from your PDFs, without having to read through the entire document. Bunni is perfect for students, researchers, professionals, and anyone else who needs to work with PDFs on a regular basis.

Minutes AI is an AI-powered note-taking and transcription application designed to help users effortlessly create detailed notes and transcriptions from audio recordings. The app is trusted by over 25,000 professionals and offers features such as automated note-taking, transcription, formatting, and sharing capabilities. With a focus on privacy and security, Minutes AI ensures that user data is never sold or accessed by unrelated third parties. The application supports various audio formats, multiple languages, and provides a seamless user experience for individuals looking to enhance their productivity during meetings, lectures, or any audio-based activities.

SticAI Glance is an AI-powered tool that summarizes Reddit posts into actionable insights within seconds. Users can simply paste the link and receive quick summaries. The tool is designed to provide users with a convenient way to extract key information from Reddit posts efficiently. SticAI Glance is developed by ThisUX Private Limited, aiming to streamline information consumption for Reddit users.

Summify is an AI-powered tool that helps users summarize YouTube videos, podcasts, and other audio-visual content. It offers a range of features to make it easy to extract key points, generate transcripts, and transform videos into written content. Summify is designed to save users time and effort, and it can be used for a variety of purposes, including content creation, blogging, learning, digital marketing, and research.

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.

Eigen Technologies is an AI-powered data extraction platform designed for business users to automate the extraction of data from various documents. The platform offers solutions for intelligent document processing and automation, enabling users to streamline business processes, make informed decisions, and achieve significant efficiency gains. Eigen's platform is purpose-built to deliver real ROI by reducing manual processes, improving data accuracy, and accelerating decision-making across industries such as corporates, banks, financial services, insurance, law, and manufacturing. With features like generative insights, table extraction, pre-processing hub, and model governance, Eigen empowers users to automate data extraction workflows efficiently. The platform is known for its unmatched accuracy, speed, and capability, providing customers with a flexible and scalable solution that integrates seamlessly with existing systems.

Notable AI is an AI tool designed to help users capture, share, and manage key takeaways from various sources efficiently. It leverages artificial intelligence to streamline the process of extracting and organizing important information, making it easier for users to access and utilize valuable insights. With Notable AI, users can enhance their productivity by quickly capturing essential points, sharing them with others, and effectively managing their key learnings.

TheBookSum is an AI-powered tool that provides instant book summaries. It helps users to quickly grasp the core of literature across genres efficiently and deeply. With just a click, users can input the title and author of the book they wish to summarize, and TheBookSum's AI will generate a detailed summary that captures the essence of the book. The summaries are divided into clear segments for easy understanding, and they extract and explain the main concepts and keywords from books, aiding in grasping central themes and terms. TheBookSum is free to use and can summarize a broad spectrum of books, ranging from fiction and non-fiction to technical guides and more.

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.

The FileAI website offers an AI-powered file reading assistant that specializes in data extraction from structured documents like financial statements, legal documents, and research papers. It automates tasks related to legal and compliance review, finance and accounting report preparation, and research and academia support. The tool aims to streamline document processing, enhance learning processes, and improve research efficiency. With features like summarizing complex texts, extracting key information, and detecting plagiarism, FileAI caters to users in various industries and educational fields. The platform prioritizes data security and user privacy, ensuring that data is used solely for its intended purpose and deleted after 7 days of non-use.

Kupiks is an automated email parsing tool designed to simplify data entry processes by extracting key information from emails such as customer inquiries, leads, invoices, and more. It eliminates manual entry, saves time, and minimizes errors. The tool offers a simple and seamless solution to automate data entry and streamline workflows, making it ideal for customer support, order management, and expense management.

MeetGeek is an AI-powered meeting assistant that helps you record, transcribe, summarize, and share meeting notes. It integrates with your calendar and automatically joins your Zoom, Google Meet, or Microsoft Teams meetings. MeetGeek uses speech-to-text technology to generate high-quality transcripts and notes. It also uses natural language processing (NLP) to extract key highlights and action items from your meetings. MeetGeek can help you save time, improve your productivity, and make your meetings more effective.

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.

Summarify is an iOS app that uses AI to summarize YouTube videos. It offers a range of summary styles, including simple, bullet points, and detailed formats, allowing users to tailor the summaries to their specific needs. Summarify also includes features such as video timestamps, chapter summaries, custom summaries, video searching, time savings tracker, and export summaries. The app is powered by ChatGPT and OpenAI, which ensures the accuracy and coherence of the summaries.

Upstage is an Artificial General Intelligence (AGI) application designed to enhance work productivity by automating simple tasks and providing decision support through generative Business Intelligence (BI) knowledge and numerical understanding. The application offers various features such as Document AI, Solar LLM, and Developers Demo Playground, enabling users to automate tasks, extract key information from documents, and create conversational agents. Upstage aims to streamline workflow automation and improve efficiency in various domains such as healthcare, finance, and law.

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.

MapDeduce is an AI-powered tool that helps users understand and analyze complex documents. It can be used to summarize documents, extract key information, and identify potential red flags. MapDeduce is designed to save users time and effort by automating the process of document analysis.

This repository contains custom recipes for H2O Driverless AI, which is an Automatic Machine Learning platform for the Enterprise. Custom recipes are Python code snippets that can be uploaded into Driverless AI at runtime to automate feature engineering, model building, visualization, and interpretability. Users can gain control over the optimization choices made by Driverless AI by providing their own custom recipes. The repository includes recipes for various tasks such as data manipulation, data preprocessing, feature selection, data augmentation, model building, scoring, and more. Best practices for creating and using recipes are also provided, including security considerations, performance tips, and safety measures.

AIS-catcher: A multi-platform AIS Receiver

AIDE is a machine learning code generation agent that can generate solutions for machine learning tasks from natural language descriptions. It has the following features: 1. **Instruct with Natural Language**: Describe your problem or additional requirements and expert insights, all in natural language. 2. **Deliver Solution in Source Code**: AIDE will generate Python scripts for the **tested** machine learning pipeline. Enjoy full transparency, reproducibility, and the freedom to further improve the source code! 3. **Iterative Optimization**: AIDE iteratively runs, debugs, evaluates, and improves the ML code, all by itself. 4. **Visualization**: We also provide tools to visualize the solution tree produced by AIDE for a better understanding of its experimentation process. This gives you insights not only about what works but also what doesn't. AIDE has been benchmarked on over 60 Kaggle data science competitions and has demonstrated impressive performance, surpassing 50% of Kaggle participants on average. It is particularly well-suited for tasks that require complex data preprocessing, feature engineering, and model selection.

A curated list of Generative AI projects, tools, artworks, and models

This repository contains a comprehensive collection of 63 must-know Large Language Models (LLMs) interview questions. It covers topics such as the architecture of LLMs, transformer models, attention mechanisms, training processes, encoder-decoder frameworks, differences between LLMs and traditional statistical language models, handling context and long-term dependencies, transformers for parallelization, applications of LLMs, sentiment analysis, language translation, conversation AI, chatbots, and more. The readme provides detailed explanations, code examples, and insights into utilizing LLMs for various tasks.

moai is a PyTorch-based AI Model Development Kit (MDK) designed to improve data-driven model workflows, design, and understanding. It offers modularity via monads for model building blocks, reproducibility via configuration-based design, productivity via a data-driven domain modelling language (DML), extensibility via plugins, and understanding via inter-model performance and design aggregation. The tool provides specific integrated actions like play, train, evaluate, plot, diff, and reprod to support heavy data-driven workflows with analytics, knowledge extraction, and reproduction. moai relies on PyTorch, Lightning, Hydra, TorchServe, ONNX, Visdom, HiPlot, Kornia, Albumentations, and the wider open-source community for its functionalities.

imodelsX is a Scikit-learn friendly library that provides tools for explaining, predicting, and steering text models/data. It also includes a collection of utilities for getting started with text data. **Explainable modeling/steering** | Model | Reference | Output | Description | |---|---|---|---| | Tree-Prompt | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/tree_prompt) | Explanation + Steering | Generates a tree of prompts to steer an LLM (_Official_) | | iPrompt | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/iprompt) | Explanation + Steering | Generates a prompt that explains patterns in data (_Official_) | | AutoPrompt | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/autoprompt) | Explanation + Steering | Find a natural-language prompt using input-gradients (⌛ In progress)| | D3 | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/d3) | Explanation | Explain the difference between two distributions | | SASC | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/sasc) | Explanation | Explain a black-box text module using an LLM (_Official_) | | Aug-Linear | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/aug_linear) | Linear model | Fit better linear model using an LLM to extract embeddings (_Official_) | | Aug-Tree | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/aug_tree) | Decision tree | Fit better decision tree using an LLM to expand features (_Official_) | **General utilities** | Model | Reference | |---|---| | LLM wrapper| [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/llm) | Easily call different LLMs | | | Dataset wrapper| [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/data) | Download minimially processed huggingface datasets | | | Bag of Ngrams | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/bag_of_ngrams) | Learn a linear model of ngrams | | | Linear Finetune | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/linear_finetune) | Finetune a single linear layer on top of LLM embeddings | | **Related work** * [imodels package](https://github.com/microsoft/interpretml/tree/main/imodels) (JOSS 2021) - interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible). * [Adaptive wavelet distillation](https://arxiv.org/abs/2111.06185) (NeurIPS 2021) - distilling a neural network into a concise wavelet model * [Transformation importance](https://arxiv.org/abs/1912.04938) (ICLR 2020 workshop) - using simple reparameterizations, allows for calculating disentangled importances to transformations of the input (e.g. assigning importances to different frequencies) * [Hierarchical interpretations](https://arxiv.org/abs/1807.03343) (ICLR 2019) - extends CD to CNNs / arbitrary DNNs, and aggregates explanations into a hierarchy * [Interpretation regularization](https://arxiv.org/abs/2006.14340) (ICML 2020) - penalizes CD / ACD scores during training to make models generalize better * [PDR interpretability framework](https://www.pnas.org/doi/10.1073/pnas.1814225116) (PNAS 2019) - an overarching framewwork for guiding and framing interpretable machine learning

This solution accelerator is built on Azure Cognitive Search Service and Azure OpenAI Service to synthesize post-contact center transcripts for intelligent contact center scenarios. It converts raw transcripts into customer call summaries to extract insights around product and service performance. Key features include conversation summarization, key phrase extraction, speech-to-text transcription, sensitive information extraction, sentiment analysis, and opinion mining. The tool enables data professionals to quickly analyze call logs for improvement in contact center operations.

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.

doc2plan is a browser-based application that helps users create personalized learning plans by extracting content from documents. It features a Creator for manual or AI-assisted plan construction and a Viewer for interactive plan navigation. Users can extract chapters, key topics, generate quizzes, and track progress. The application includes AI-driven content extraction, quiz generation, progress tracking, plan import/export, assistant management, customizable settings, viewer chat with text-to-speech and speech-to-text support, and integration with various Retrieval-Augmented Generation (RAG) models. It aims to simplify the creation of comprehensive learning modules tailored to individual needs.

xFinder is a model specifically designed for key answer extraction from large language models (LLMs). It addresses the challenges of unreliable evaluation methods by optimizing the key answer extraction module. The model achieves high accuracy and robustness compared to existing frameworks, enhancing the reliability of LLM evaluation. It includes a specialized dataset, the Key Answer Finder (KAF) dataset, for effective training and evaluation. xFinder is suitable for researchers and developers working with LLMs to improve answer extraction accuracy.

Extractor is an AI-powered data extraction library for Laravel that leverages OpenAI's capabilities to effortlessly extract structured data from various sources, including images, PDFs, and emails. It features a convenient wrapper around OpenAI Chat and Completion endpoints, supports multiple input formats, includes a flexible Field Extractor for arbitrary data extraction, and integrates with Textract for OCR functionality. Extractor utilizes JSON Mode from the latest GPT-3.5 and GPT-4 models, providing accurate and efficient data extraction.

TI MINDMAP GPT is an AI-powered tool designed to assist cyber threat intelligence teams in quickly synthesizing and visualizing key information from various Threat Intelligence sources. The tool utilizes Large Language Models (LLMs) to transform lengthy content into concise, actionable summaries, going beyond mere text reduction to provide insightful encapsulations of crucial points and themes. Users can leverage their own LLM keys for personalized and efficient information processing, streamlining data analysis and enabling teams to focus on strategic decision-making.

SuperKnowa is a fast framework to build Enterprise RAG (Retriever Augmented Generation) Pipelines at Scale, powered by watsonx. It accelerates Enterprise Generative AI applications to get prod-ready solutions quickly on private data. The framework provides pluggable components for tackling various Generative AI use cases using Large Language Models (LLMs), allowing users to assemble building blocks to address challenges in AI-driven text generation. SuperKnowa is battle-tested from 1M to 200M private knowledge base & scaled to billions of retriever tokens.

RD-Agent is a tool designed to automate critical aspects of industrial R&D processes, focusing on data-driven scenarios to streamline model and data development. It aims to propose new ideas ('R') and implement them ('D') automatically, leading to solutions of significant industrial value. The tool supports scenarios like Automated Quantitative Trading, Data Mining Agent, Research Copilot, and more, with a framework to push the boundaries of research in data science. Users can create a Conda environment, install the RDAgent package from PyPI, configure GPT model, and run various applications for tasks like quantitative trading, model evolution, medical prediction, and more. The tool is intended to enhance R&D processes and boost productivity in industrial settings.

AnyLabeling is a tool for effortless data labeling with AI support from YOLO and Segment Anything. It combines features from LabelImg and Labelme with an improved UI and auto-labeling capabilities. Users can annotate images with polygons, rectangles, circles, lines, and points, as well as perform auto-labeling using YOLOv5 and Segment Anything. The tool also supports text detection, recognition, and Key Information Extraction (KIE) labeling, with multiple language options available such as English, Vietnamese, and Chinese.

小说形式的内容总结

专注于从剧本文本提取高光片段

Nyimpulkeun sareng nimba poin konci tina téks, artikel, video, dokumén sareng seueur deui

Expert summarizer with detailed key points and a reflection analysis.

Expert in concise article summarization and key point extraction.

AI Meeting Analyst: Summarizes transcripts, extracts key points and action items, conducts sentiment analysis. Offers advice and insights on meeting content, objectives, and outcomes for improved effectiveness.

This prompt is structured to provide an effective methodology in generating progressively more detailed and specific summaries, focused on key entities.

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

Summarizes events into key takeaways, listing speakers.

Translating ancient texts to modern English, extrapolating key insights and practical applications.

Takes in any text and extracts the wisdom from it like you spent 3 hours taking handwritten notes.

上传一本书（PDF、Word、Txt），我来帮你提炼精华

Channels Kunal Shah's tweet essence

PDFを入れれば日本語で解説してくれます

A personal assistant for summarizing school emails

Business Books 🤝 Micro Summaries. Because sometimes, it should have been a blogpost.

Analizo contenido web para una comprensión rápida y profunda.

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