Best AI tools for< Categorize Content >

Honeybear.ai is an AI tool designed to simplify document reading tasks. It utilizes advanced algorithms to extract and analyze text from various documents, making it easier for users to access and comprehend information. With Honeybear.ai, users can streamline their document processing workflows and enhance productivity.

CategorAIze.io is an AI-powered tool that helps users categorize data effortlessly using the latest AI technologies. Users can define custom categories, upload data items, and let the cutting-edge LLM AI automatically assign entries based on their content without the need for pretraining. The tool supports multi-level hierarchies, text and image-based categorization, and offers pay-as-you-go pricing options. Additionally, users can access the tool via browser, API, and plugins for a seamless experience.

Charm is an AI-powered spreadsheet assistant that helps users clean messy data, create content, summarize feedback, classify sales leads, and generate dummy data. It is a Google Sheets add-on that automates tasks that are impossible to do with traditional formulas. Charm is used by hundreds of analysts, marketers, product managers, and more.

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.

Tube Memo is an AI-powered tool designed to facilitate effortless note-taking from YouTube videos. It allows users to capture transcripts, organize notes, and generate summaries from videos. The tool enhances productivity by providing features like timestamped transcripts, AI-powered summaries, content organizing, and the ability to easily share and download notes. Users can collaborate with team members, categorize and tag memos for efficient searching, and access their notes across various devices. Tube Memo aims to streamline the process of extracting key insights from video content, making it a valuable asset for students, professionals, content creators, and researchers.

Imagga is a leading provider of image recognition solutions for developers and businesses. Its API empowers intelligent apps with customizable machine learning technology. Imagga's solutions include tagging, categorization, cropping, color extraction, visual search, facial recognition, custom training, and content moderation. These solutions are used by over 30K startups, developers, and students, and trusted by over 200 business customers in more than 82 countries worldwide.

MonkeyLearn is an AI tool that specializes in text processing. It offers a range of features for text classification, extraction, data analysis, and more. Users can build custom models, process data manually or automatically, and integrate the tool into their workflows. MonkeyLearn provides advanced settings for custom models and ensures user data security and privacy compliance.

ToolList.ai is an AI tools aggregator platform that showcases cutting-edge AI tools and startups. It serves as a hub for enthusiasts, developers, and entrepreneurs to explore the latest advancements in AI technology. Users can discover, submit, and evaluate a wide range of AI tools, fostering innovation and collaboration in the AI field. The platform covers various categories such as AI SaaS platforms, AI for sales & marketing, mobile & web apps, AI development tools, AI analytics, and ethics in AI.

Transcript.LOL is a transcription tool designed to save time and enhance productivity for creators and small to medium-sized businesses. It offers a platform to transcribe audio, video, and meeting recordings, supporting over 1500 platforms. The tool provides summaries, categorizes key themes, and offers contextual Q&A based on the transcriptions. With speaker identification and readable transcripts, users can easily navigate and understand the content. Transcript.LOL aims to streamline the transcription process and provide valuable insights faster than ever before.

Recall is a web and mobile application that allows users to summarize and save any online content. It uses artificial intelligence to automatically categorize and connect saved content, making it easy to find and rediscover later. Recall also offers spaced repetition learning, data export, and offline access.

Luxi is an AI-powered tool that enables users to automatically discover items in images. By leveraging advanced image recognition technology, Luxi can accurately identify objects within images, making it easier for users to search, categorize, and analyze visual content. With Luxi, users can streamline their image processing workflows, saving time and effort in identifying and tagging objects within large image datasets.

Peech is an AI-powered video post-production platform that helps media companies create branded videos from their content quickly and easily. With Peech, you can automatically tag and categorize your videos, generate subtitles and translations, add branding elements, and edit videos with no advanced editing skills required. Peech also offers a range of features for social media marketing, including the ability to generate short-form video content and automatically resize videos for different platforms.

AiAssistWorks is an AI tool designed to enhance productivity in Google Sheets™ by leveraging various AI models such as GPT, Gemini, Claude, and more. It allows users to automate tasks, analyze data, and generate insights without the need for complex formulas. The tool offers a range of features to simplify spreadsheet tasks and is known for its affordability and ease of use. AiAssistWorks aims to save users time and effort by providing access to advanced AI capabilities directly within Google Sheets™.

Peech is a powerful platform designed for scale that allows users to automatically obtain a limitless supply of branded videos from their content with a one-click, fully AI-powered post-production process. It offers various features such as content analysis, transcription and translation, automated custom branding, text-to-video editor, frame cropper, and clip generator. Peech empowers media companies with a tailored solution to conveniently organize and categorize large volumes of video footage, maintain brand consistency, reach global audiences, effortlessly edit videos, and automatically adjust videos to various aspect ratios for optimized design across platforms.

Eden Photos is an AI-powered image organization tool that helps users effortlessly manage and categorize their images. By leveraging state-of-the-art image recognition AI, the tool automatically adds tags to images, arranges them into meaningful categories, and makes them easily searchable. Users can enjoy the convenience of having tags added to image metadata, import images once, and make changes to folders that are automatically reflected. The tool supports various image formats and offers both manual and AI-driven organization options. With flexible pricing plans and a user-centric approach, Eden Photos aims to simplify image organization for all users.

Social Share is an all-in-one social tool that allows users to create bio link pages, shorten links, generate QR codes, create vCard links, and generate file links. It is a comprehensive platform that provides users with everything they need to manage their social media presence and online marketing efforts.

MaxNotes is an AI voice notes organizer application that helps users efficiently manage and organize their voice notes using artificial intelligence technology. The application allows users to easily record, transcribe, categorize, and search through their voice notes, making it a convenient tool for individuals who rely on voice memos for productivity and organization. With MaxNotes, users can streamline their note-taking process and access important information quickly and effortlessly.

Clickworker GmbH is an AI training data and data management services platform that leverages a global crowd of Clickworkers to generate, validate, and label data for AI systems. The platform offers a range of AI datasets for machine learning, audio, image, and video datasets, as well as services like image annotation, content editing, and creation. Clickworkers participate in projects on a freelance basis, performing micro-tasks to create high-quality training data tailored to the requirements of AI systems. The platform also provides solutions for industries such as AI and data science research, eCommerce, fashion, retail, and digital marketing.

Prelto is an AI tool designed to help users discover insights, patterns, and opportunities on Reddit. By leveraging AI technology, users can gain a deeper understanding of their audience by analyzing posts and comments. The tool allows users to ask research questions and find answers derived directly from the content. Prelto also enables users to detect emerging patterns from thousands of comments, providing a comprehensive view of audience behavior. Additionally, the tool offers automatic labeling, allowing users to categorize posts based on custom-defined labels. Prelto aims to streamline the process of audience analysis and provide valuable insights for users.

Naper AI is an AI-powered tool designed to simplify Ecommerce SEO by adding SEO to Shopify catalog pages in minutes. It offers features such as automated product enrichment, image-to-product conversion, and category tree generation to help agencies, companies, and freelancers improve indexing, drive more traffic, and boost conversion rates. Naper AI leverages advanced template technology and AI algorithms to create unique, SEO-friendly product listings and enhance product pages with accurate visuals and key details. The tool also provides bulk editing capabilities, SEO-friendly content generation, and seamless integration with platforms like AliExpress and Amazon.

Build-your-own-AI-Assistant-Solution-Accelerator is a pre-release and preview solution that helps users create their own AI assistants. It leverages Azure Open AI Service, Azure AI Search, and Microsoft Fabric to identify, summarize, and categorize unstructured information. Users can easily find relevant articles and grants, generate grant applications, and export them as PDF or Word documents. The solution accelerator provides reusable architecture and code snippets for building AI assistants with enterprise data. It is designed for researchers looking to explore flu vaccine studies and grants to accelerate grant proposal submissions.

Cellm is an Excel extension that allows users to leverage Large Language Models (LLMs) like ChatGPT within cell formulas. It enables users to extract AI responses to text ranges, making it useful for automating repetitive tasks that involve data processing and analysis. Cellm supports various models from Anthropic, Mistral, OpenAI, and Google, as well as locally hosted models via Llamafiles, Ollama, or vLLM. The tool is designed to simplify the integration of AI capabilities into Excel for tasks such as text classification, data cleaning, content summarization, entity extraction, and more.

This repo contains a comprehensive paper list of **Model Quantization** for efficient deep learning on AI conferences/journals/arXiv. As a highlight, we categorize the papers in terms of model structures and application scenarios, and label the quantization methods with keywords.

Evedel is an Emacs package designed to streamline the interaction with LLMs during programming. It aims to reduce manual code writing by creating detailed instruction annotations in the source files for LLM models. The tool leverages overlays to track instructions, categorize references with tags, and provide a seamless workflow for managing and processing directives. Evedel offers features like saving instruction overlays, complex query expressions for directives, and easy navigation through instruction overlays across all buffers. It is versatile and can be used in various types of buffers beyond just programming buffers.

This repository contains frontier research on explainable AI (XAI), a hot topic in the field of artificial intelligence. It includes trends, use cases, survey papers, books, open courses, papers, and Python libraries related to XAI. The repository aims to organize and categorize publications on XAI, provide evaluation methods, and list various Python libraries for explainable AI.

WilmerAI is a middleware system designed to process prompts before sending them to Large Language Models (LLMs). It categorizes prompts, routes them to appropriate workflows, and generates manageable prompts for local models. It acts as an intermediary between the user interface and LLM APIs, supporting multiple backend LLMs simultaneously. WilmerAI provides API endpoints compatible with OpenAI API, supports prompt templates, and offers flexible connections to various LLM APIs. The project is under heavy development and may contain bugs or incomplete code.

The 'awesome-ai-llm4education' repository is a curated list of papers related to artificial intelligence (AI) and large language models (LLM) for education. It collects papers from top conferences, journals, and specialized domain-specific conferences, categorizing them based on specific tasks for better organization. The repository covers a wide range of topics including tutoring, personalized learning, assessment, material preparation, specific scenarios like computer science, language, math, and medicine, aided teaching, as well as datasets and benchmarks for educational research.

Awesome-LLM-in-Social-Science is a repository that compiles papers evaluating Large Language Models (LLMs) from a social science perspective. It includes papers on evaluating, aligning, and simulating LLMs, as well as enhancing tools in social science research. The repository categorizes papers based on their focus on attitudes, opinions, values, personality, morality, and more. It aims to contribute to discussions on the potential and challenges of using LLMs in social science research.

This repository compiles a list of academic papers that evaluate, align, simulate, and provide surveys or perspectives on the use of Large Language Models (LLMs) in the field of Social Science. The papers cover various aspects of LLM research, including assessing their alignment with human values, evaluating their capabilities in tasks such as opinion formation and moral reasoning, and exploring their potential for simulating social interactions and addressing issues in diverse fields of Social Science. The repository aims to provide a comprehensive resource for researchers and practitioners interested in the intersection of LLMs and Social Science.

This repository is a collection of papers on Generative AI Machine Unlearning, categorized based on modality and applications. It includes datasets, benchmarks, and surveys related to unlearning scenarios in generative AI. The repository aims to provide a comprehensive overview of research in the field of machine unlearning for generative models.

AIL framework is a modular framework to analyze potential information leaks from unstructured data sources like pastes from Pastebin or similar services or unstructured data streams. AIL framework is flexible and can be extended to support other functionalities to mine or process sensitive information (e.g. data leak prevention).

AIL framework is a modular framework to analyze potential information leaks from unstructured data sources like pastes from Pastebin or similar services or unstructured data streams. AIL framework is flexible and can be extended to support other functionalities to mine or process sensitive information (e.g. data leak prevention).

Azure OpenAI demos is a repository showcasing various demos and use cases of Azure OpenAI services. It includes demos for tasks such as image comparisons, car damage copilot, video to checklist generation, automatic data visualization, text analytics, and more. The repository provides a wide range of examples on how to leverage Azure OpenAI for different applications and industries.

OneKE is a flexible dockerized system for schema-guided knowledge extraction, capable of extracting information from the web and raw PDF books across multiple domains like science and news. It employs a collaborative multi-agent approach and includes a user-customizable knowledge base to enable tailored extraction. OneKE offers various IE tasks support, data sources support, LLMs support, extraction method support, and knowledge base configuration. Users can start with examples using YAML, Python, or Web UI, and perform tasks like Named Entity Recognition, Relation Extraction, Event Extraction, Triple Extraction, and Open Domain IE. The tool supports different source formats like Plain Text, HTML, PDF, Word, TXT, and JSON files. Users can choose from various extraction models like OpenAI, DeepSeek, LLaMA, Qwen, ChatGLM, MiniCPM, and OneKE for information extraction tasks. Extraction methods include Schema Agent, Extraction Agent, and Reflection Agent. The tool also provides support for schema repository and case repository management, along with solutions for network issues. Contributors to the project include Ningyu Zhang, Haofen Wang, Yujie Luo, Xiangyuan Ru, Kangwei Liu, Lin Yuan, Mengshu Sun, Lei Liang, Zhiqiang Zhang, Jun Zhou, Lanning Wei, Da Zheng, and Huajun Chen.

This repository contains a hand-curated list of great machine (deep) learning resources for Natural Language Processing (NLP) with a focus on Generative Pre-trained Transformer (GPT), Bidirectional Encoder Representations from Transformers (BERT), attention mechanism, Transformer architectures/networks, Chatbot, and transfer learning in NLP.

A comprehensive repository of resources for Chinese large language models (LLMs), including data processing tools, fine-tuning frameworks, inference libraries, evaluation platforms, RAG engines, agent frameworks, books, courses, tutorials, and tips. The repository covers a wide range of tools and resources for working with LLMs, from data labeling and processing to model fine-tuning, inference, evaluation, and application development. It also includes resources for learning about LLMs through books, courses, and tutorials, as well as insights and strategies from building with LLMs.

The Portkey Python SDK is a control panel for AI apps that allows seamless integration of Portkey's advanced features with OpenAI methods. It provides features such as AI gateway for unified API signature, interoperability, automated fallbacks & retries, load balancing, semantic caching, virtual keys, request timeouts, observability with logging, requests tracing, custom metadata, feedback collection, and analytics. Users can make requests to OpenAI using Portkey SDK and also use async functionality. The SDK is compatible with OpenAI SDK methods and offers Portkey-specific methods like feedback and prompts. It supports various providers and encourages contributions through Github issues or direct contact via email or Discord.

CodeLLM Paper repository provides a curated list of research papers focused on Large Language Models (LLMs) for code. It aims to facilitate researchers and practitioners in exploring the rapidly growing body of literature on this topic. The papers are systematically collected from various top-tier venues, categorized, and labeled for easier navigation. The selection strategy involves abstract extraction, keyword matching, relevance check using LLMs, and manual labeling. The papers are categorized based on Application, Principle, and Research Paradigm dimensions. Contributions to expand the repository are welcome through PR submission, issue submission, or request for batch updates. The repository is intended solely for research purposes, with raw data sourced from publicly available information on ACM, IEEE, and corresponding conference websites.

Expert in summarizing and categorizing

Classifies articles into knowledge domains. source code: https://homun.posetmage.com/Agents/

I’ll tell you which Hogwarts house best fits your website

Get your daily horoscope summary, categorized and compiled from various online sources. For entertainment purposes only.

A thoughtful quote generator for various categories. The beauty of knowledge is that it is boundless, illuminating the journey of discovery.

Aid in selecting Google Business categories for diverse small businesses.

Upload your image, and our scribe instantly provides optimised keywords, titles, and categories in a CSV for Adobe Stock, Shutterstock and iStock. Simplify your workflow and elevate your portfolio effortlessly!

Analyzes and categorizes perfume data from Excel, or lists. Upload a file with your perfume names or just the names of your perfumes and this GPT will help you organize the information.

Comprehensive categorization and organization for AI Prompts

BookeAI Assistant sorts bank transactions into merchants, categories, and confidence levels, tailored by client location and business type.

Coaches on Second Brain & PARA, focuses on information categorization.

Finds the right google_product_category for your XML feed.

Extracts, categorizes, and organizes receipt data.

Advanced, adaptive guide on exoplanets with dynamic categorization.

Organizo notas de sessões psicológicas em tópicos claros.

Sorts lists into alphabetical order.

2024 Korean Brand Awards 를 수상하고 싶은 개인, 기업, 유공자분들에게 정보를 드리기 위해 준비한 공간입니다.