Best AI tools for< Extract Data Points >

Parsio is an AI-powered document parser that can extract structured data from PDFs, emails, and other documents. It uses natural language processing to understand the context of the document and identify the relevant data points. Parsio can be used to automate a variety of tasks, such as extracting data from invoices, receipts, and emails.

Chat PDF AI Online is an advanced AI tool that revolutionizes the way users interact with PDF documents. It offers cutting-edge AI features to enhance the PDF experience, providing seamless solutions for reading, summarizing, analyzing, and translating PDF files. With features like longer context support, powerful tabular data analysis, and advanced LLM support, Chat PDF AI Online ensures smarter and faster document processing. Users can securely upload and process large PDF files, benefiting from high accuracy and efficiency in document handling.

DocAI is an API-driven platform that enables you to implement contracts AI into your applications, without requiring development from the ground-up. Our AI identifies and extracts 1,300+ common legal clauses, provisions and data points from a variety of document types. Our AI is a low-code experience for all. Easily train new fields without the need for a data scientist. All you need is subject matter expertise. Flexible and scalable. Flexible deployment options in the Zuva hosted cloud or on prem, across multiple geographical regions. Reliable, expert-built AI our customers can trust. Over 1,300+ out of the box AI fields that are built and trained by experienced lawyers and subject matter experts. Fields identify and extract common legal clauses, provisions and data points from unstructured documents and contracts, including ones written in non-standard language.

Centari is a platform for deal intelligence that utilizes generative AI to transform complex documents into powerful insights. It helps users unlock more dealflow, enrich marketing materials, visualize market trends, and automate deal sheet extraction. With intuitive data validation and a unique deal navigation platform, Centari streamlines the deal-making process and enhances competitive knowledge.

Kira Systems is a machine learning contract search, review, and analysis software that helps businesses identify, extract, and analyze content in their contracts and documents. It uses patented machine learning technology to extract concepts and data points with high efficiency and accuracy. Kira also has built-in intelligence that streamlines the contract review process with out-of-the-box smart fields. Businesses can also create their own smart fields to find specific data points using Kira's no-code machine learning tool. Kira's adaptive workflows allow businesses to organize, track, and export results. Kira has a partner ecosystem that allows businesses to transform how teams work with their contracts.

LeaseLens is an AI-based lease abstraction software that offers free lease abstraction and summary services powered by GPT-4 technology. It allows users to upload real estate or commercial lease documents to quickly extract relevant data points and produce accurate lease abstracts in minutes. The platform uses machine learning algorithms trained on thousands of lease agreements to ensure cost savings, efficiency, and accuracy in lease abstractions. LeaseLens is free to use for viewing abstracts, with a nominal fee of $25 for exporting abstracts to Excel or Word.

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.

ArxivPaperAI is an AI-powered research paper summarizer that helps you quickly and easily understand the key points of academic papers. With ArxivPaperAI, you can:

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.

CustomerIQ is an AI platform that automatically discovers and quantifies themes across customer feedback channels like calls, surveys, tickets, and transcripts. It aggregates customer feedback, extracts and categorizes feature requests, pain points, preferences, and highlights related to customers. The platform helps align teams, prioritize work, and build a customer-obsessed culture. CustomerIQ accelerates development by scoping project requirements faster and providing actionable insights backed with context.

Summarizer AI is a free online tool that simplifies and condenses extensive text documents, articles, or any written content into concise, easily digestible summaries. This cutting-edge artificial intelligence (AI) technology aims to enhance productivity and comprehension by breaking down complex information into its most essential points, making it particularly useful for students, researchers, professionals, and anyone looking to quickly grasp the main ideas of lengthy texts. The platform is user-friendly, emphasizing privacy and security for its users. It enhances reading comprehension by highlighting key terms and facilitates efficient knowledge acquisition without compromising on data confidentiality. Summarizer AI stands out for its versatility, ease of use, and commitment to user privacy, making it an invaluable resource for efficient text analysis and summarization.

Octoparse VOC is an AI-native tool that simplifies consumer review analysis for brands and sellers. It leverages Generative AI and NLP models to extract valuable insights from product reviews and haul videos, helping businesses understand customer sentiment and pain points. The tool centralizes reviews, provides on-page analysis, surfaces important Q&As, and enables comparison with competitors. Octoparse VOC offers actionable insights tailored to business needs, empowering users to make informed decisions and improve their market position.

InboxChat is an AI-powered email management tool that helps users sort, chat, and summarize their emails. It integrates with Google Accounts and offers a range of features to streamline email workflow, including: - Chat with Your Inbox: Draft emails, summarize lengthy threads, and organize data in tables. - Automate your workflow: Create automations to organize incoming emails, extract important data, create tasks, and prepare automated responses. - Quick skim: See emails at a glance with concise, customizable summaries. - Thread Summary: Get to-the-point summaries of all email threads. - Email Summaries: Quickly skim through emails. - Contact History: Access a summarized timeline of interactions with each contact. - Smart Contact Groups: Auto-tag contacts into manageable groups.

FormX.ai is an AI-powered data extraction and conversion tool that automates the process of extracting data from physical documents and converting it into digital formats. It supports a wide range of document types, including invoices, receipts, purchase orders, bank statements, contracts, HR forms, shipping orders, loyalty member applications, annual reports, business certificates, personnel licenses, and more. FormX.ai's pre-configured data extraction models and effortless API integration make it easy for businesses to integrate data extraction into their existing systems and workflows. With FormX.ai, businesses can save time and money on manual data entry and improve the accuracy and efficiency of their data processing.

Tablize is a powerful data extraction tool that helps you turn unstructured data into structured, tabular format. With Tablize, you can easily extract data from PDFs, images, and websites, and export it to Excel, CSV, or JSON. Tablize uses artificial intelligence to automate the data extraction process, making it fast and easy to get the data you need.

Extracta.ai is an AI data extraction tool for documents and images that automates data extraction processes with easy integration. It allows users to define custom templates for extracting structured data without the need for training. The platform can extract data from various document types, including invoices, resumes, contracts, receipts, and more, providing accurate and efficient results. Extracta.ai ensures data security, encryption, and GDPR compliance, making it a reliable solution for businesses looking to streamline document processing.

Docugami is an AI-powered document engineering platform that enables business users to extract, analyze, and automate data from various types of documents. It empowers users with immediate impact without the need for extensive machine learning investments or IT development. Docugami's proprietary Business Document Foundation Model leverages Generative AI to transform unstructured text into structured information, allowing users to unlock insights and drive business processes efficiently.

FranzAI LLM Playground is an AI-powered tool that helps you extract, classify, and analyze unstructured text data. It leverages transformer models to provide accurate and meaningful results, enabling you to build data applications faster and more efficiently. With FranzAI, you can accelerate product and content classification, enhance data interpretation, and advance data extraction processes, unlocking key insights from your textual data.

SOAX AI data collection is a powerful tool that utilizes artificial intelligence to gather and analyze data from various online sources. It automates the process of data collection, saving time and effort for users. The tool is designed to extract relevant information efficiently and accurately, providing valuable insights for businesses and researchers. With its advanced algorithms, SOAX AI data collection can handle large volumes of data quickly and effectively, making it a valuable asset for anyone in need of data-driven decision-making.

Super.AI provides Intelligent Document Processing (IDP) solutions powered by Large Language Models (LLMs) and human-in-the-loop (HITL) capabilities. It automates document processing tasks such as data extraction, classification, and redaction, enabling businesses to streamline their workflows and improve accuracy. Super.AI's platform leverages cutting-edge AI models from providers like Amazon, Google, and OpenAI to handle complex documents, ensuring high-quality outputs. With its focus on accuracy, flexibility, and scalability, Super.AI caters to various industries, including financial services, insurance, logistics, and healthcare.

The Linkedin API for Python allows users to programmatically search profiles, send messages, and find jobs using a regular Linkedin user account. It does not require 'official' API access, just a valid Linkedin account. However, it is important to note that this library is not officially supported by LinkedIn and using it may violate LinkedIn's Terms of Service. Users can authenticate using any Linkedin account credentials and access features like getting profiles, profile contact info, and connections. The library also provides commercial alternatives for extracting data, scraping public profiles, and accessing a full LinkedIn API. It is not endorsed or supported by LinkedIn and is intended for educational purposes and personal use only.

Parsera is a lightweight Python library designed for scraping websites using LLMs. It offers simplicity and efficiency by minimizing token usage, enhancing speed, and reducing costs. Users can easily set up and run the tool to extract specific elements from web pages, generating JSON output with relevant data. Additionally, Parsera supports integration with various chat models, such as Azure, expanding its functionality and customization options for web scraping tasks.

LLM Scraper is a TypeScript library that allows you to convert any webpages into structured data using LLMs. It supports Local (GGUF), OpenAI, Groq chat models, and schemas defined with Zod. With full type-safety in TypeScript and based on the Playwright framework, it offers streaming when crawling multiple pages and supports four input modes: html, markdown, text, and image.

Cognee is an open-source framework designed for creating self-improving deterministic outputs for Large Language Models (LLMs) using graphs, LLMs, and vector retrieval. It provides a platform for AI engineers to enhance their models and generate more accurate results. Users can leverage Cognee to add new information, utilize LLMs for knowledge creation, and query the system for relevant knowledge. The tool supports various LLM providers and offers flexibility in adding different data types, such as text files or directories. Cognee aims to streamline the process of working with LLMs and improving AI models for better performance and efficiency.

This repository contains scripts and tools for evaluating a chat app that uses the RAG architecture. It provides parameters to assess the quality and style of answers generated by the chat app, including system prompt, search parameters, and GPT model parameters. The tools facilitate running evaluations, with examples of evaluations on a sample chat app. The repo also offers guidance on cost estimation, setting up the project, deploying a GPT-4 model, generating ground truth data, running evaluations, and measuring the app's ability to say 'I don't know'. Users can customize evaluations, view results, and compare runs using provided tools.

Instructor is a Typescript library for structured extraction in Typescript, powered by llms, designed for simplicity, transparency, and control. It stands out for its simplicity, transparency, and user-centric design. Whether you're a seasoned developer or just starting out, you'll find Instructor's approach intuitive and steerable.

GenAI Agents is a comprehensive repository for developing and implementing Generative AI (GenAI) agents, ranging from simple conversational bots to complex multi-agent systems. It serves as a valuable resource for learning, building, and sharing GenAI agents, offering tutorials, implementations, and a platform for showcasing innovative agent creations. The repository covers a wide range of agent architectures and applications, providing step-by-step tutorials, ready-to-use implementations, and regular updates on advancements in GenAI technology.

Smile (Statistical Machine Intelligence and Learning Engine) is a comprehensive machine learning, NLP, linear algebra, graph, interpolation, and visualization system in Java and Scala. It covers every aspect of machine learning, including classification, regression, clustering, association rule mining, feature selection, manifold learning, multidimensional scaling, genetic algorithms, missing value imputation, efficient nearest neighbor search, etc. Smile implements major machine learning algorithms and provides interactive shells for Java, Scala, and Kotlin. It supports model serialization, data visualization using SmilePlot and declarative approach, and offers a gallery showcasing various algorithms and visualizations.

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.

ChatSim is a tool designed for editable scene simulation for autonomous driving via LLM-Agent collaboration. It provides functionalities for setting up the environment, installing necessary dependencies like McNeRF and Inpainting tools, and preparing data for simulation. Users can train models, simulate scenes, and track trajectories for smoother and more realistic results. The tool integrates with Blender software and offers options for training McNeRF models and McLight's skydome estimation network. It also includes a trajectory tracking module for improved trajectory tracking. ChatSim aims to facilitate the simulation of autonomous driving scenarios with collaborative LLM-Agents.

Firecrawl is an API service that takes a URL, crawls it, and converts it into clean markdown. It crawls all accessible subpages and provides clean markdown for each, without requiring a sitemap. The API is easy to use and can be self-hosted. It also integrates with Langchain and Llama Index. The Python SDK makes it easy to crawl and scrape websites in Python code.

NeMo Guardrails is an open-source toolkit for easily adding _programmable guardrails_ to LLM-based conversational applications. Guardrails (or "rails" for short) are specific ways of controlling the output of a large language model, such as not talking about politics, responding in a particular way to specific user requests, following a predefined dialog path, using a particular language style, extracting structured data, and more.

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.

Advanced web-to-PDF text analysis tool.

Expert in LAStools with in-depth command line knowledge.

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

请输入文章或者上载文件，专门于文档分析的阅读助手，会使用中文回复。

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

专业总结学术论文核心贡献和方法

Expert in summarizing and categorizing

I extract data and tables from PDFs to CSV, focusing on data privacy and precision.

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

PDFChat : Analyse 1000's of PDF's in seconds, extract and chat with PDFs in any language.

Provides analysis and data extraction of Property Management documents and contracts for managers

Fill legal forms & complex PDF documents easily! Upload a file, provide data sources and I'll handle the rest.

Analyzes participants from page 1 of Zoom .pdfs

Analyzes json files into JSONPath Syntax elements

Generate and explain regex patterns from your description, it support English and Chinese.

Extracts and structures web content in formal, technical language.

Expert in web scraping with python and Pycharm.

Image & document analysis expert

The ultimate VBA mentor for office automation and learning.

Converts Excel screenshots into editable files.