Best AI tools for< Extract Skills >

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.

Webscrape AI is a no-code web scraping tool that allows users to collect data from websites without writing any code. It is easy to use, accurate, and affordable, making it a great option for businesses of all sizes. With Webscrape AI, you can automate your data collection process and free up your time to focus on other tasks.

CoverBot is a web application that utilizes AI technology to generate personalized covering letters for job applications. By extracting relevant information from the user's CV and job description, CoverBot creates unique and compelling cover letters in a matter of seconds. The platform aims to streamline the process of writing cover letters, saving users time and effort while highlighting their skills and experience effectively.

Pictory is an easy-to-use video creation platform that uses artificial intelligence (AI) to help you create engaging videos in minutes. With Pictory, you can create videos from scratch or transform existing content into videos, such as blog posts, scripts, and long-form videos. Pictory also offers a variety of features to help you customize your videos, such as AI-generated voiceovers, music, and captions. Whether you're a content marketer, business professional, or educator, Pictory can help you create videos that will engage your audience and help you achieve your goals.

YellowGoose is an AI tool that offers intelligent analysis of resumes. It utilizes advanced algorithms to extract and analyze key information from resumes, helping users to streamline the recruitment process. With YellowGoose, users can quickly evaluate candidates and make informed hiring decisions based on data-driven insights.

Shadow is a Bot-Free AI Autopilot tool designed to assist users with post-meeting tasks. It listens to and understands conversations without a bot, helping users complete follow-up tasks 20x faster. Shadow generates transcripts, performs tasks discussed during meetings, and handles follow-up emails and CRM updates. The tool prioritizes privacy by storing recordings locally and offers features like extracting action items, key insights, follow-up emails, and performance feedback. Shadow is constantly learning new skills and aims to streamline meeting workflows for users.

Airwiz is an AI data analyst tool designed to revolutionize data analysis experiences for users of Airtable. It offers seamless integration with Airtable, providing intuitive AI data analysis without the need for complex setups. Users can unlock Python-level data insights by simply asking questions, eliminating the requirement for coding skills. Airwiz delivers instant, actionable results, serving as an on-demand AI data analyst. The tool has received positive feedback from professionals, highlighting its transformative impact on data analysis processes across various roles.

Data Science Dojo is a globally recognized e-learning platform that offers programs in data science, data analytics, machine learning, and more. They provide comprehensive and hands-on training in various formats such as in-person, virtual instructor-led, and self-paced training. The focus is on helping students develop a think-business-first mindset to apply their data science skills effectively in real-world scenarios. With over 2500 enterprises trained, Data Science Dojo aims to make data science accessible to everyone.

DataSquirrel.ai is an AI tool designed to provide data intelligence solutions for non-technical business managers. It offers both guided and fully automatic features to help users make data-driven decisions and optimize business performance. The tool simplifies complex data analysis processes and empowers users to extract valuable insights from their data without requiring advanced technical skills.

Browse AI is an AI tool that offers the easiest way to extract and monitor data from any website without the need for coding. Users can train a robot in just 2 minutes to extract specific data in spreadsheet format or monitor data on a schedule. With over 7,000 integrations, Browse AI allows users to scrape structured data, run multiple robots simultaneously, emulate user interactions, handle pagination, and more. Trusted by over 370,000 individuals and teams, Browse AI is a powerful tool for data extraction and monitoring tasks.

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.

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.

Insight7 is a powerful AI-powered tool that helps businesses extract insights from customer and employee interviews. It uses natural language processing and machine learning to analyze large volumes of unstructured data, such as transcripts, audio recordings, and videos. Insight7 can identify key themes, trends, and sentiment, which can then be used to improve products, services, and customer experiences.

Kadoa is an AI web scraper tool that extracts unstructured web data at scale automatically, without the need for coding. It offers a fast and easy way to integrate web data into applications, providing high accuracy, scalability, and automation in data extraction and transformation. Kadoa is trusted by various industries for real-time monitoring, lead generation, media monitoring, and more, offering zero setup or maintenance effort and smart navigation capabilities.

PodAI is an AI tool designed to extract answers from every podcast episode in seconds. It is a prototype currently being developed to enhance search results and fine-tune the LLM output. PodAI is not affiliated with the Huberman Lab Podcast and is solely for entertainment purposes, not for medical advice.

RIDO Protocol is a decentralized data protocol that allows users to extract value from their personal data in Web2 and Web3. It provides users with a variety of features, including programmable data generation, programmable access control, and cross-application data sharing. RIDO also has a data marketplace where users can list or offer their data information and ownership. Additionally, RIDO has a DataFi protocol which promotes the flowing of data information and value.

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.

Extractify.co is a website that offers a range of text extraction services. It allows users to extract text from various sources such as images, PDFs, and websites. The platform uses advanced algorithms to accurately extract and convert text into editable formats. Users can easily copy, edit, and save the extracted text for their needs. Extractify.co provides a user-friendly interface and supports multiple languages, making it a versatile tool for text extraction tasks.

Nex is an AI Knowledge Copilot application designed to help users efficiently extract main points from long YouTube videos and articles. It offers features like summarizing content, providing quick takeaways, highlighting essential parts, and saving inspirations. With Nex, users can improve their information absorption and save time by focusing on the most relevant parts of the content.

Vocal Remover Oak is an advanced AI tool designed for music producers, video makers, and karaoke enthusiasts to easily separate vocals and accompaniment in audio files. The website offers a free online vocal remover service that utilizes deep learning technology to provide fast processing, high-quality output, and support for various audio and video formats. Users can upload local files or provide YouTube links to extract vocals, accompaniment, and original music. The tool ensures lossless audio output quality and compatibility with multiple formats, making it suitable for professional music production and personal entertainment projects.

PandaETL is an open-source, no-code ETL tool designed to extract and parse data from various document types including PDFs, emails, websites, audio files, and more. With an intuitive interface and powerful backend, PandaETL simplifies the process of data extraction and transformation, making it accessible to users without programming skills.

ScrapeGraphAI is a web scraping Python library that utilizes LangChain, LLM, and direct graph logic to create scraping pipelines. Users can specify the information they want to extract, and the library will handle the extraction process. The tool is designed to simplify web scraping tasks by providing a streamlined and efficient approach to data extraction.

ScrapeGraphAI is a web scraping Python library that utilizes LangChain, LLM, and direct graph logic to create scraping pipelines. Users can specify the information they want to extract, and the library will handle the extraction process. This repository contains an official demo/trial for the ScrapeGraphAI library, showcasing its capabilities in web scraping tasks. The tool is designed to simplify the process of extracting data from websites by providing a user-friendly interface and powerful scraping functionalities.

ScrapeGraphAI is a Python library that uses Large Language Models (LLMs) and direct graph logic to create web scraping pipelines for websites, documents, and XML files. It allows users to extract specific information from web pages by providing a prompt describing the desired data. ScrapeGraphAI supports various LLMs, including Ollama, OpenAI, Gemini, and Docker, enabling users to choose the most suitable model for their needs. The library provides a user-friendly interface through its `SmartScraper` class, which simplifies the process of building and executing scraping pipelines. ScrapeGraphAI is open-source and available on GitHub, with extensive documentation and examples to guide users. It is particularly useful for researchers and data scientists who need to extract structured data from web pages for analysis and exploration.

Kor is a prototype tool designed to help users extract structured data from text using Language Models (LLMs). It generates prompts, sends them to specified LLMs, and parses the output. The tool works with the parsing approach and is integrated with the LangChain framework. Kor is compatible with pydantic v2 and v1, and schema is typed checked using pydantic. It is primarily used for extracting information from text based on provided reference examples and schema documentation. Kor is designed to work with all good-enough LLMs regardless of their support for function/tool calling or JSON modes.

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.

ScrapeGraphAI is a web scraping Python library that utilizes LLM and direct graph logic to create scraping pipelines for websites and local documents. It offers various standard scraping pipelines like SmartScraperGraph, SearchGraph, SpeechGraph, and ScriptCreatorGraph. Users can extract information by specifying prompts and input sources. The library supports different LLM APIs such as OpenAI, Groq, Azure, and Gemini, as well as local models using Ollama. ScrapeGraphAI is designed for data exploration and research purposes, providing a versatile tool for extracting information from web pages and generating outputs like Python scripts, audio summaries, and search results.

Resume Analyzer AI is an advanced Streamlit application that specializes in thorough resume analysis. It excels at summarizing resumes, evaluating strengths, identifying weaknesses, and offering personalized improvement suggestions. It also recommends job titles and uses Selenium to extract vital LinkedIn data. The tool simplifies the job-seeking journey by providing comprehensive insights to elevate career opportunities.

BAML is a config file format for declaring LLM functions that you can then use in TypeScript or Python. With BAML you can Classify or Extract any structured data using Anthropic, OpenAI or local models (using Ollama) ## Resources  [Discord Community](https://discord.gg/boundaryml)  [Follow us on Twitter](https://twitter.com/boundaryml) * Discord Office Hours - Come ask us anything! We hold office hours most days (9am - 12pm PST). * Documentation - Learn BAML * Documentation - BAML Syntax Reference * Documentation - Prompt engineering tips * Boundary Studio - Observability and more #### Starter projects * BAML + NextJS 14 * BAML + FastAPI + Streaming ## Motivation Calling LLMs in your code is frustrating: * your code uses types everywhere: classes, enums, and arrays * but LLMs speak English, not types BAML makes calling LLMs easy by taking a type-first approach that lives fully in your codebase: 1. Define what your LLM output type is in a .baml file, with rich syntax to describe any field (even enum values) 2. Declare your prompt in the .baml config using those types 3. Add additional LLM config like retries or redundancy 4. Transpile the .baml files to a callable Python or TS function with a type-safe interface. (VSCode extension does this for you automatically). We were inspired by similar patterns for type safety: protobuf and OpenAPI for RPCs, Prisma and SQLAlchemy for databases. BAML guarantees type safety for LLMs and comes with tools to give you a great developer experience:  Jump to BAML code or how Flexible Parsing works without additional LLM calls. | BAML Tooling | Capabilities | | ----------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | BAML Compiler install | Transpiles BAML code to a native Python / Typescript library (you only need it for development, never for releases) Works on Mac, Windows, Linux  | | VSCode Extension install | Syntax highlighting for BAML files Real-time prompt preview Testing UI | | Boundary Studio open (not open source) | Type-safe observability Labeling |

MATLAB-Simulink-Challenge-Project-Hub is a repository aimed at contributing to the progress of engineering and science by providing challenge projects with real industry relevance and societal impact. The repository offers a wide range of projects covering various technology trends such as Artificial Intelligence, Autonomous Vehicles, Big Data, Computer Vision, and Sustainability. Participants can gain practical skills with MATLAB and Simulink while making a significant contribution to science and engineering. The projects are designed to enhance expertise in areas like Sustainability and Renewable Energy, Control, Modeling and Simulation, Machine Learning, and Robotics. By participating in these projects, individuals can receive official recognition for their problem-solving skills from technology leaders at MathWorks and earn rewards upon project completion.

Instructor for PHP is a library designed for structured data extraction in PHP, powered by Large Language Models (LLMs). It simplifies the process of extracting structured, validated data from unstructured text or chat sequences. Instructor enhances workflow by providing a response model, validation capabilities, and max retries for requests. It supports classes as response models and provides features like partial results, string input, extracting scalar and enum values, and specifying data models using PHP type hints or DocBlock comments. The library allows customization of validation and provides detailed event notifications during request processing. Instructor is compatible with PHP 8.2+ and leverages PHP reflection, Symfony components, and SaloonPHP for communication with LLM API providers.

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.

AI-on-the-edge-device is a project that enables users to digitize analog water, gas, power, and other meters using an ESP32 board with a supported camera. It integrates Tensorflow Lite for AI processing, offers a small and affordable device with integrated camera and illumination, provides a web interface for administration and control, supports Homeassistant, Influx DB, MQTT, and REST API. The device captures meter images, extracts Regions of Interest (ROIs), runs them through AI for digitization, and allows users to send data to MQTT, InfluxDb, or access it via REST API. The project also includes 3D-printable housing options and tools for logfile management.

AI4Animation is a comprehensive framework for data-driven character animation, including data processing, neural network training, and runtime control, developed in Unity3D/PyTorch. It explores deep learning opportunities for character animation, covering biped and quadruped locomotion, character-scene interactions, sports and fighting games, and embodied avatar motions in AR/VR. The research focuses on generative frameworks, codebook matching, periodic autoencoders, animation layering, local motion phases, and neural state machines for character control and animation.

This repository focuses on utilizing generative AI to bridge the gap between natural language questions and SQL queries, aiming to improve data consumption in enterprise data warehouses. It addresses challenges in SQL query generation, such as foreign key relationships and table joins, and highlights the importance of accuracy metrics like Execution Accuracy (EX) and Exact Set Match Accuracy (EM). The workshop content covers advanced prompt engineering, Retrieval Augmented Generation (RAG), fine-tuning models, and security measures against prompt and SQL injections.

Forge is a free and open-source digital collectible card game (CCG) engine written in Java. It is designed to be easy to use and extend, and it comes with a variety of features that make it a great choice for developers who want to create their own CCGs. Forge is used by a number of popular CCGs, including Ascension, Dominion, and Thunderstone.

KaibanJS is a JavaScript-native framework for building multi-agent AI systems. It enables users to create specialized AI agents with distinct roles and goals, manage tasks, and coordinate teams efficiently. The framework supports role-based agent design, tool integration, multiple LLMs support, robust state management, observability and monitoring features, and a real-time agentic Kanban board for visualizing AI workflows. KaibanJS aims to empower JavaScript developers with a user-friendly AI framework tailored for the JavaScript ecosystem, bridging the gap in the AI race for non-Python developers.

A massive list including a huge amount of products and services that are completely free! ⭐ Star on GitHub • 🤝 Contribute # Table of Contents * APIs, Data & ML * Artificial Intelligence * BaaS * Code Editors * Code Generation * DNS * Databases * Design & UI * Domains * Email * Font * For Students * Forms * Linux Distributions * Messaging & Streaming * PaaS * Payments & Billing * SSL

llm_benchmarks is a collection of benchmarks and datasets for evaluating Large Language Models (LLMs). It includes various tasks and datasets to assess LLMs' knowledge, reasoning, language understanding, and conversational abilities. The repository aims to provide comprehensive evaluation resources for LLMs across different domains and applications, such as education, healthcare, content moderation, coding, and conversational AI. Researchers and developers can leverage these benchmarks to test and improve the performance of LLMs in various real-world scenarios.

Summarizes professional skills from resumes or LinkedIn profiles.

Put your prompt engineering skills to the ultimate test! Embark on a journey to outwit a mythical guardian of ancient secrets. Try to extract the secret passphrase hidden in the system prompt and enter it in chat when you think you have it and claim your glory. Good luck!

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

Extract the essence of the novel story according to the quantity requirements and generate corresponding images. The images can be used directly to create novel videos.小说推文图片自动批量生成,可自动生成风格一致性图片

Extract insights seamlessly from diverse documents.

Extract from receipts to CSV: Date of Purchase, Item Purchased, Quantity Purchased, Units

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

Analyze watch images, extract text, and craft sales descriptions. Add 1 or more images for a single watch to get started.

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.

Open Domain Relation Extractor

Assists with text extraction from PDFs

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

专注于从剧本文本提取高光片段

Expert in extracting and transcribing text from images.

从网址提取并选择模型计算大小

ce GPT va recevoir des images dans lesquelles il y a des questions QCM codingame ou Problem Solving sur les sujets : Java, Hibernate, Angular, Spring Boot, SQL. Il doit extraire le texte depuis l'image et répondre au question QCM le plus rapidement possible.

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。

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

上传一本书（PDF、Word、Txt），我来帮你提炼精华

Extracting instructions from assistants ethically