Best AI tools for< Extract Information >

Kupiks is a document processing API that helps users turn forms and documents into structured data automatically. By automating document processing, Kupiks eliminates the need for manual data entry, saving time and improving accuracy. The versatile API offers seamless integration and is designed to be user-friendly. Kupiks is currently running a beta program for professionals interested in testing and shaping the future of document automation.

Base64.ai is an AI-powered document intelligence company that offers a comprehensive solution to bring AI into document-based workflows. The platform enables users to power complex document processing, workflow automation, AI agents, and data intelligence. It provides multi-modal AI capabilities to ingest data from various sources, pre-trained deep learning models for quick setup, and automation of business decisions via AI agents and Large Action Models. Base64.ai aims to eliminate manual document processing and outdated text extraction systems, helping organizations achieve higher efficiency, accuracy, and digital transformation.

Taylor is a deterministic AI tool that empowers Business & Engineering teams to enhance and automate text data processing at scale. It allows users to classify, extract, and enrich freeform text with high impact and ease of use. Taylor provides total control over customization, integration with various platforms, and the ability to drive business impact from day one by leveraging powerful machine learning capabilities.

The AI Assistant is an AI tool designed for Business Analysts and UI/UX designers to automate tasks related to text analysis, generating mockup forms, SQL scripts, and UML diagrams. It extracts information from natural language, structures data, generates project diagrams, and assists in project documentation. The tool aims to reduce the time needed to execute tasks and is flexible to adapt to specific company needs.

Epsilon is an AI search engine designed for scientific research solutions. It helps researchers find evidence, citations, and relevant information from over 200 million academic papers. Epsilon can summarize passages, group search results, extract key information from multiple papers, and provide comprehensive summaries. Trusted by over 30,000 researchers worldwide, Epsilon is a reliable tool for conducting literature reviews, drafting proposals, and executing research projects.

The website offers an AI-powered PDF reader that allows users to chat with any PDF document. Users can upload a PDF, ask questions, get answers, extract precise sections of text, summarize, annotate, highlight, classify, analyze, translate, and more. The AI tool helps in quickly identifying key details, finding answers without reading through every word, and citing sources. It is ideal for professionals in various fields like legal, finance, research, academia, healthcare, and public sector, as well as students. The tool aims to save time, increase productivity, and simplify document management and analysis.

PDFConvo is an AI-powered tool that allows users to interact with their PDF documents through a chat interface. Users can ask questions, receive summaries, find information, and more, making it easier to extract valuable insights from their PDF files. With features like unlimited saves, chat capabilities, and affordable pricing plans, PDFConvo aims to revolutionize the way people engage with and extract information from PDF documents.

ChatInDoc is an AI-powered tool designed to revolutionize the way people interact with and comprehend lengthy documents. By leveraging cutting-edge AI technology, ChatInDoc offers users the ability to efficiently analyze, summarize, and extract key information from various file formats such as PDFs, Office documents, and text files. With features like IR analysis, term lookup, PDF viewing, and AI-powered chat capabilities, ChatInDoc aims to streamline the process of digesting complex information and enhance productivity. The application's user-friendly interface and advanced AI algorithms make it a valuable tool for students, professionals, and anyone dealing with extensive document reading tasks.

ChatWithPDF is a ChatGPT plugin that allows users to query against small or large PDF documents directly in ChatGPT. It offers a convenient way to process and semantically search PDF documents based on your queries. By providing a temporary PDF URL, the plugin fetches relevant information from the PDF file and returns the most suitable matches according to your search input.

VERSE empowers you to seamlessly interact with PDFs, revolutionizing your workflow. With AI-powered responses, direct links to PDF pages, and a distraction-free interface, VERSE enhances your productivity and comprehension. Experience the future of PDF interaction today.

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.

Bard PDF is an AI-powered tool that allows users to interact with PDF documents through natural language conversation. It can summarize documents, answer questions, and extract key information. Bard PDF is designed to help researchers, students, and professionals save time and improve their productivity.

Predibase is a platform for fine-tuning and serving Large Language Models (LLMs). It provides a cost-effective and efficient way to train and deploy LLMs for a variety of tasks, including classification, information extraction, customer sentiment analysis, customer support, code generation, and named entity recognition. Predibase is built on proven open-source technology, including LoRAX, Ludwig, and Horovod.

Docubase.ai is a powerful document analysis tool that uses advanced natural language processing and machine learning to extract information and provide relevant answers to your queries. It can automatically extract text content from uploaded documents, generate relevant questions, and extract answers from the document content. Docubase.ai supports a wide range of document formats, including PDF, Word, Excel, PowerPoint, and text documents. It also allows users to ask their own questions and provides options to export answers in different formats for easy sharing and documentation.

txyz.ai is an AI-powered platform that aims to integrate all paths to knowledge. It leverages artificial intelligence algorithms to provide users with a comprehensive and efficient way to access and organize information. The platform offers a user-friendly interface that allows individuals to streamline their research process, gather insights, and make data-driven decisions. With txyz.ai, users can explore diverse sources of information, extract valuable insights, and stay updated on the latest trends in their field of interest.

UPDF AI Online is an AI-powered platform that allows users to interact with PDF documents through a chat interface. The platform is powered by GPT-4, a state-of-the-art language model, enabling users to ask questions, extract information, and perform various tasks on PDF files seamlessly. With UPDF AI Online, users can easily navigate through complex documents, search for specific content, summarize text, and much more, all through a conversational interface. The platform aims to simplify the way users interact with PDFs, making document management more efficient and user-friendly.

aiPDF is an AI-powered PDF chat application that allows users to summarize, get insights from, and chat with any type of file. It stands out as a fun and user-friendly tool for various document-related tasks, offering detailed references and instant answers through advanced AI technology. Users can upload a wide range of documents, from financial reports to academic essays, and benefit from the tool's diverse features. aiPDF ensures data security and provides a purely dollar-free experience, making it a reliable and enjoyable platform for document management.

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.

DocAI is an AI-driven document solution that transforms documents into interactive conversations. It streamlines document workflows, enhances productivity, and offers blazing fast responses to inquiries. The platform features an intelligent chatbot, interactive PDF viewer, affordable pricing, multilingual support, and advanced AI capabilities. DocAI is trusted by industry leaders for its transformative impact on document handling and analytics.

YouLearn is an AI-powered tutoring platform designed to help learners understand and learn from various types of content such as PDFs, videos, and slides. With features like instant answers, content upload, and sources included, YouLearn aims to simplify learning and improve knowledge retention. Trusted by over 110,000 learners worldwide, the platform offers a seamless learning experience by providing personalized AI tutoring services. Whether you are a student, professional, or lifelong learner, YouLearn is built to enhance your learning journey and make education more accessible and engaging.

NuShift Inc is an AI-powered application that offers ELMR-T, a cutting-edge solution for converting data into actionable knowledge in the maintenance and engineering domain. Leveraging machine learning, machine translation, speech recognition, question answering, and information extraction, ELMR-T provides intelligent AI insights to empower maintenance teams. The application is designed to streamline data-driven decision-making, enhance user interaction, and boost efficiency by delivering precise and meaningful results effortlessly.

Skann AI is an advanced artificial intelligence tool designed to revolutionize document management and data extraction processes. The application leverages cutting-edge AI technology to automate the extraction of data from various documents, such as invoices, receipts, and contracts. Skann AI streamlines workflows, increases efficiency, and reduces manual errors by accurately extracting and organizing data in a fraction of the time it would take a human. With its intuitive interface and powerful features, Skann AI is the go-to solution for businesses looking to optimize their document processing workflows.

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).

x-crawl is a flexible Node.js AI-assisted crawler library that offers powerful AI assistance functions to make crawler work more efficient, intelligent, and convenient. It consists of a crawler API and various functions that can work normally even without relying on AI. The AI component is currently based on a large AI model provided by OpenAI, simplifying many tedious operations. The library supports crawling dynamic pages, static pages, interface data, and file data, with features like control page operations, device fingerprinting, asynchronous sync, interval crawling, failed retry handling, rotation proxy, priority queue, crawl information control, and TypeScript support.

The 'nlp-llms-resources' repository is a comprehensive resource list for Natural Language Processing (NLP) and Large Language Models (LLMs). It covers a wide range of topics including traditional NLP datasets, data acquisition, libraries for NLP, neural networks, sentiment analysis, optical character recognition, information extraction, semantics, topic modeling, multilingual NLP, domain-specific LLMs, vector databases, ethics, costing, books, courses, surveys, aggregators, newsletters, papers, conferences, and societies. The repository provides valuable information and resources for individuals interested in NLP and LLMs.

Sycamore is a conversational search and analytics platform for complex unstructured data, such as documents, presentations, transcripts, embedded tables, and internal knowledge repositories. It retrieves and synthesizes high-quality answers through bringing AI to data preparation, indexing, and retrieval. Sycamore makes it easy to prepare unstructured data for search and analytics, providing a toolkit for data cleaning, information extraction, enrichment, summarization, and generation of vector embeddings that encapsulate the semantics of data. Sycamore uses your choice of generative AI models to make these operations simple and effective, and it enables quick experimentation and iteration. Additionally, Sycamore uses OpenSearch for indexing, enabling hybrid (vector + keyword) search, retrieval-augmented generation (RAG) pipelining, filtering, analytical functions, conversational memory, and other features to improve information retrieval.

Langroid is a Python framework that makes it easy to build LLM-powered applications. It uses a multi-agent paradigm inspired by the Actor Framework, where you set up Agents, equip them with optional components (LLM, vector-store and tools/functions), assign them tasks, and have them collaboratively solve a problem by exchanging messages. Langroid is a fresh take on LLM app-development, where considerable thought has gone into simplifying the developer experience; it does not use Langchain.

OntoGPT is a Python package for extracting structured information from text using large language models, instruction prompts, and ontology-based grounding. It provides a command line interface and a minimal web app for easy usage. The tool has been evaluated on test data and is used in related projects like TALISMAN for gene set analysis. OntoGPT enables users to extract information from text by specifying relevant terms and provides the extracted objects as output.

The Google Cloud Document AI Samples repository contains code samples and Community Samples demonstrating how to analyze, classify, and search documents using Google Cloud Document AI. It includes various projects showcasing different functionalities such as integrating with Google Drive, processing documents using Python, content moderation with Dialogflow CX, fraud detection, language extraction, paper summarization, tax processing pipeline, and more. The repository also provides access to test document files stored in a publicly-accessible Google Cloud Storage Bucket. Additionally, there are codelabs available for optical character recognition (OCR), form parsing, specialized processors, and managing Document AI processors. Community samples, like the PDF Annotator Sample, are also included. Contributions are welcome, and users can seek help or report issues through the repository's issues page. Please note that this repository is not an officially supported Google product and is intended for demonstrative purposes only.

Knowledge Graph Builder App is a tool designed to convert PDF documents into a structured knowledge graph stored in Neo4j. It utilizes OpenAI's GPT/Diffbot LLM to extract nodes, relationships, and properties from PDF text content. Users can upload files from local machine or S3 bucket, choose LLM model, and create a knowledge graph. The app integrates with Neo4j for easy visualization and querying of extracted information.

Embedchain is an Open Source Framework for personalizing LLM responses. It simplifies the creation and deployment of personalized AI applications by efficiently managing unstructured data, generating relevant embeddings, and storing them in a vector database. With diverse APIs, users can extract contextual information, find precise answers, and engage in interactive chat conversations tailored to their data. The framework follows the design principle of being 'Conventional but Configurable' to cater to both software engineers and machine learning engineers.

Local RAG is an offline, open-source tool that allows users to ingest files for retrieval augmented generation (RAG) using large language models (LLMs) without relying on third parties or exposing sensitive data. It supports offline embeddings and LLMs, multiple sources including local files, GitHub repos, and websites, streaming responses, conversational memory, and chat export. Users can set up and deploy the app, learn how to use Local RAG, explore the RAG pipeline, check planned features, known bugs and issues, access additional resources, and contribute to the project.

Browser Copilot is a browser extension that enables users to utilize AI assistants for various web application tasks. It provides a versatile UI and framework to implement copilots that can automate tasks, extract information, interact with web applications, and utilize service APIs. Users can easily install copilots, start chats, save prompts, and toggle the copilot on or off. The project also includes a sample copilot implementation for testing purposes and encourages community contributions to expand the catalog of copilots.

ChatData is a robust chat-with-documents application designed to extract information and provide answers by querying the MyScale free knowledge base or uploaded documents. It leverages the Retrieval Augmented Generation (RAG) framework, millions of Wikipedia pages, and arXiv papers. Features include self-querying retriever, VectorSQL, session management, and building a personalized knowledge base. Users can effortlessly navigate vast data, explore academic papers, and research documents. ChatData empowers researchers, students, and knowledge enthusiasts to unlock the true potential of information retrieval.

QMedia is an open-source multimedia AI content search engine designed specifically for content creators. It provides rich information extraction methods for text, image, and short video content. The tool integrates unstructured text, image, and short video information to build a multimodal RAG content Q&A system. Users can efficiently search for image/text and short video materials, analyze content, provide content sources, and generate customized search results based on user interests and needs. QMedia supports local deployment for offline content search and Q&A for private data. The tool offers features like content cards display, multimodal content RAG search, and pure local multimodal models deployment. Users can deploy different types of models locally, manage language models, feature embedding models, image models, and video models. QMedia aims to spark new ideas for content creation and share AI content creation concepts in an open-source manner.

This repository is part of Intelligent Document Processing with AWS AI Services workshop. It aims to automate the extraction of information from complex content in various document formats such as insurance claims, mortgages, healthcare claims, contracts, and legal contracts using AWS Machine Learning services like Amazon Textract and Amazon Comprehend. The repository provides hands-on labs to familiarize users with these AI services and build solutions to automate business processes that rely on manual inputs and intervention across different file types and formats.

HaE is a framework project in the field of network security (data security) that combines artificial intelligence (AI) large models to achieve highlighting and information extraction of HTTP messages (including WebSocket). It aims to reduce testing time, focus on valuable and meaningful messages, and improve vulnerability discovery efficiency. The project provides a clear and visual interface design, simple interface interaction, and centralized data panel for querying and extracting information. It also features built-in color upgrade algorithm, one-click export/import of data, and integration of AI large models API for optimized data processing.

This project is an end-to-end pipeline for constructing knowledge graphs from news articles using Neo4j and Diffbot. It also utilizes OpenAI LLMs to generate questions based on the knowledge graph. The application offers news monitoring capabilities, data extraction from text, and organization/personal information enrichment. Users can interact with the chatbot interface to ask questions and receive answers based on the knowledge graph.

Awesome RAG is a curated list of retrieval-augmented generation (RAG) in large language models. It includes papers, surveys, general resources, lectures, talks, tutorials, workshops, tools, and other collections related to retrieval-augmented generation. The repository aims to provide a comprehensive overview of the latest advancements, techniques, and applications in the field of RAG.

askrepo is a tool that reads the content of Git-managed text files in a specified directory, sends it to the Google Gemini API, and provides answers to questions based on a specified prompt. It acts as a question-answering tool for source code by using a Google AI model to analyze and provide answers based on the provided source code files. The tool leverages modules for file processing, interaction with the Google AI API, and orchestrating the entire process of extracting information from source code files.

An Ivy Leage Scholar GPT equipped to understand your research needs, formulate comprehensive literature review strategies, and extract pertinent information from a plethora of academic databases and journals. I'll then compose a peer review-quality paper with citations.

I parse questions and answers from images into code blocks.

Expert in website summarization, providing clear and concise info summaries. You can also ask it to find specific info from the site.

Experto en transcribir borradores de notas de texto

Aids in SPARQL queries for Semantic-Art's Gist Ontology

Converts graph triples to clear text, no assumptions.

A personal assistant for summarizing school emails

Wizard to business card photos to CSV files for Google Contacts.

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。

Expertly synthesizes complex info into clear, concise insights.

Provide the information about each receipt from your shopping.

Open Domain Relation Extractor

Extract insights seamlessly from diverse documents.

Urban Analyzer with consolidated files containing just UR information.

Make the executive summary from PDF, URL or other information.

Convert 20-page articles/ reports/ white-papers to a 1 pager with maximum information fidelity. Summaries so good, you'll never want to read the original first! Upload your PDF and say 'GO'.

上传一本书（PDF、Word、Txt），我来帮你提炼精华

Extracts and formats procedures from manuals into templates

Expert in data extraction and context-driven analysis. Can read most filetypes including PDFS, XLSX, Word, TXT, CSV, EML, Etc.

Analize uploaded files and assists in tasks based on their content.