Best AI tools for< categorize entries >

Luminal is a spreadsheet analysis tool that utilizes AI to clean, transform, and analyze data at an accelerated pace. It offers advanced functionalities such as natural language processing and editing operations without the need for coding.

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.

JobtitlesAI is a machine-learning API that sorts job titles into two categories: field (sales, finance, I.T...) and position (executive, management, assistant...). It can be used in spreadsheets, Hubspot, or via API. JobtitlesAI is multilingual and GDPR compliant.

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.

Magicbookifier.ai is an AI-powered accounting solution that automates bookkeeping, invoicing, and financial reporting. It uses machine learning to categorize transactions, generate reports, and provide insights into your financial data. Magicbookifier.ai is designed to make accounting easier and more efficient for small businesses and entrepreneurs.

Booke AI is an AI-driven bookkeeping software that automates tasks, reduces errors, and improves communication. It uses AI to categorize transactions, extract data from invoices and receipts, and provide expert reconciliation assistance. Booke AI integrates with Xero, QuickBooks, and Zoho Books, and offers a user-friendly client portal for seamless collaboration. With Booke AI, businesses can save time, reduce stress, and improve the accuracy of their bookkeeping.

Expense Sorted is an AI-powered tool that automates the categorization of expenses, saving users time and effort. It seamlessly integrates with Google Sheets, ensuring data privacy and protection. The streamlined interface and customizable categories make it suitable for both personal and business use.

Breezemail is an AI-powered email organization tool that helps users manage their inboxes by automatically categorizing emails and highlighting important ones. It uses ChatGPT queries to create custom categories and offers pre-defined categories for easy organization. Breezemail integrates with Outlook and Gmail and does not retain, sell, or analyze user data for any purposes other than those related to its publicly accessible features.

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.

ChainFuse is a feedback structuring tool that utilizes AI to efficiently handle large volumes of user feedback data. It simplifies the collection of unstructured user feedback for product, community, and success teams, enabling them to prioritize actions aligned with their users' needs. ChainFuse offers various features, including: - Automated data collection from various sources - AI-powered categorization of feedback into feature requests, bugs, general comments, and off-topic remarks - Creation of AI-generated Sheets and Slides from collected feedback - Seamless integration with existing tech ecosystems and communities - Conversation with data through Clair, the AI assistant Advantages of using ChainFuse include: - Increased discovery and ideation of new product features - Reduced time spent searching for feedback and more time structuring it - Improved prioritization of actions based on user needs - Enhanced collaboration and efficiency within teams - Deeper insights into data through Clair, the AI assistant ChainFuse has some disadvantages as well: - May require some setup and configuration to integrate with existing systems - AI categorization may not be 100% accurate and may require manual review - Pricing may not be suitable for all organizations Here are some frequently asked questions about ChainFuse: Q: What types of feedback can ChainFuse collect? A: ChainFuse can collect feedback from various sources, including webinars, form submissions, community channels, and more. Q: How does ChainFuse categorize feedback? A: ChainFuse uses AI to categorize feedback into feature requests, bugs, general comments, and off-topic remarks. Q: Can I export data from ChainFuse? A: Yes, you can export your data to maintain your existing processes. Q: What is Clair? A: Clair is ChainFuse's AI assistant that helps you converse with your data and dive deeper into it. ChainFuse is a valuable tool for product, community, and success teams looking to improve their feedback collection and structuring processes. Its AI-powered features and seamless integration with existing ecosystems make it a powerful solution for organizations seeking to enhance their user feedback management.

Receiptor AI is an automated receipt and invoice extraction tool that helps businesses save time and improve accuracy in their financial management. It uses AI to automatically identify, extract, and categorize receipts and invoices from emails, and can also be used to retroactively analyze past emails for missed receipts. Receiptor AI integrates with popular accounting software like Xero, QuickBooks, and Expensify, and can export reports in a variety of formats, including CSV, PDF, and ZIP. Receiptor AI offers a number of features that make it a valuable tool for businesses of all sizes, including: * Automatic extraction of receipts and invoices from emails * Retroactive email analysis * Comprehensive information extraction, including purchase amounts, categories, dispute deadlines, and more * Reports & Integrations * Multi-Language Support * Intelligent Contextual Categorization

Duplikate is an AI-powered community management tool that helps businesses save time and effort by automating the process of finding, categorizing, and duplicating social media posts. With Duplikate, businesses can easily find relevant content to share on social media, and then customize it to match their brand and audience. Duplikate also provides analytics to help businesses understand which types of posts are most effective, and can even generate images to accompany posts.

MonAi is an AI-powered expense tracker that allows users to enter expenses using natural language, similar to sending a voice message. The AI automatically categorizes and splits the input into a short description, amount, and category. Users simply need to confirm and save the expense. MonAi does not require a login and securely stores expenses in the user's private iCloud account. It also offers sharing and collaboration features.

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.

ProductlyAI is an AI-powered product management tool that helps you automatically log and track product feedback from all your customer conversations. It integrates with your existing tools, such as Gong, Intercom, and Zoom, and uses AI to find, categorize, and summarize feedback in a single place. This makes it easy to identify trends, prioritize features, and make data-driven decisions about your product roadmap.

SparkReceipt is a receipt scanner and business document manager that uses AI to categorize expenses, track income, and collaborate on expenses. It can scan and digitize receipts and invoices, extract receipt and invoice information like merchant, date, total and taxes without manual input. The AI will intelligently read the contents of your receipt and categorize all your expenses and income automatically. You can also invite team members to collaborate on expenses by centralizing scanned receipts under one account. SparkReceipt is free to use for individuals and one-user businesses for light use cases. You can also subscribe to SparkReceipt Pro to unlock multi-user features, advanced reporting, workspaces and powerful collaboration tools.

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.

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.

TextMine is an AI-powered knowledge base that helps businesses analyze, manage, and search thousands of documents. It uses AI to analyze unstructured textual data and document databases, automatically retrieving key terms to help users make informed decisions. TextMine's features include a document vault for storing and managing documents, a categorization system for organizing documents, and a data extraction tool for extracting insights from documents. TextMine can help businesses save time, money, and improve efficiency by automating manual data entry and information retrieval tasks.

This repository provides a curated list of papers, datasets, and resources related to the detection and mitigation of hallucinations in large language models (LLMs). Hallucinations refer to the generation of factually incorrect or nonsensical text by LLMs, which can be a significant challenge for their use in real-world applications. The resources in this repository aim to help researchers and practitioners better understand and address this issue.

AI Audio Datasets List (AI-ADL) is a comprehensive collection of datasets consisting of speech, music, and sound effects, used for Generative AI, AIGC, AI model training, and audio applications. It includes datasets for speech recognition, speech synthesis, music information retrieval, music generation, audio processing, sound synthesis, and more. The repository provides a curated list of diverse datasets suitable for various AI audio tasks.

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.

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.

The 'awesome-local-llms' repository is a curated list of open-source tools for local Large Language Model (LLM) inference, covering both proprietary and open weights LLMs. The repository categorizes these tools into LLM inference backend engines, LLM front end UIs, and all-in-one desktop applications. It collects GitHub repository metrics as proxies for popularity and active maintenance. Contributions are encouraged, and users can suggest additional open-source repositories through the Issues section or by running a provided script to update the README and make a pull request. The repository aims to provide a comprehensive resource for exploring and utilizing local LLM tools.

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).

BambooAI is a lightweight library utilizing Large Language Models (LLMs) to provide natural language interaction capabilities, much like a research and data analysis assistant enabling conversation with your data. You can either provide your own data sets, or allow the library to locate and fetch data for you. It supports Internet searches and external API interactions.

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).

COMFYUI LLM PARTY is a node library designed for LLM workflow development in ComfyUI, an extremely minimalist UI interface primarily used for AI drawing and SD model-based workflows. The project aims to provide a complete set of nodes for constructing LLM workflows, enabling users to easily integrate them into existing SD workflows. It features various functionalities such as API integration, local large model integration, RAG support, code interpreters, online queries, conditional statements, looping links for large models, persona mask attachment, and tool invocations for weather lookup, time lookup, knowledge base, code execution, web search, and single-page search. Users can rapidly develop web applications using API + Streamlit and utilize LLM as a tool node. Additionally, the project includes an omnipotent interpreter node that allows the large model to perform any task, with recommendations to use the 'show_text' node for display output.

AIShield Watchtower is a tool designed to fortify the security of AI/ML models and Jupyter notebooks by automating model and notebook discoveries, conducting vulnerability scans, and categorizing risks into 'low,' 'medium,' 'high,' and 'critical' levels. It supports scanning of public GitHub repositories, Hugging Face repositories, AWS S3 buckets, and local systems. The tool generates comprehensive reports, offers a user-friendly interface, and aligns with industry standards like OWASP, MITRE, and CWE. It aims to address the security blind spots surrounding Jupyter notebooks and AI models, providing organizations with a tailored approach to enhancing their security efforts.

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.

Mosec is a high-performance and flexible model serving framework for building ML model-enabled backend and microservices. It bridges the gap between any machine learning models you just trained and the efficient online service API. * **Highly performant** : web layer and task coordination built with Rust 🦀, which offers blazing speed in addition to efficient CPU utilization powered by async I/O * **Ease of use** : user interface purely in Python 🐍, by which users can serve their models in an ML framework-agnostic manner using the same code as they do for offline testing * **Dynamic batching** : aggregate requests from different users for batched inference and distribute results back * **Pipelined stages** : spawn multiple processes for pipelined stages to handle CPU/GPU/IO mixed workloads * **Cloud friendly** : designed to run in the cloud, with the model warmup, graceful shutdown, and Prometheus monitoring metrics, easily managed by Kubernetes or any container orchestration systems * **Do one thing well** : focus on the online serving part, users can pay attention to the model optimization and business logic

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.

VectorVein is a no-code AI workflow software inspired by LangChain and langflow, aiming to combine the powerful capabilities of large language models and enable users to achieve intelligent and automated daily workflows through simple drag-and-drop actions. Users can create powerful workflows without the need for programming, automating all tasks with ease. The software allows users to define inputs, outputs, and processing methods to create customized workflow processes for various tasks such as translation, mind mapping, summarizing web articles, and automatic categorization of customer reviews.

This repository maintains a list of research papers on LLM-based Multi-Agents, categorized into five main streams: Multi-Agents Framework, Multi-Agents Orchestration and Efficiency, Multi-Agents for Problem Solving, Multi-Agents for World Simulation, and Multi-Agents Datasets and Benchmarks. The repository also includes a survey paper on LLM-based Multi-Agents and a table summarizing the key findings of the survey.

This repository provides a curated list of weekly published Large Language Model (LLM) papers. It includes top important LLM papers for each week, organized by month and year. The papers are categorized into different time periods, making it easy to find the most recent and relevant research in the field of LLM.

Awesome Mamba is a curated collection of groundbreaking research papers and articles on Mamba Architecture, a pioneering framework in deep learning known for its selective state spaces and efficiency in processing complex data structures. The repository offers a comprehensive exploration of Mamba architecture through categorized research papers covering various domains like visual recognition, speech processing, remote sensing, video processing, activity recognition, image enhancement, medical imaging, reinforcement learning, natural language processing, 3D recognition, multi-modal understanding, time series analysis, graph neural networks, point cloud analysis, and tabular data handling.

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.

Expert in summarizing and categorizing

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

Finds the right google_product_category for your XML feed.

Advanced, adaptive guide on exoplanets with dynamic categorization.

Sorts lists into alphabetical order.

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.

Aid in selecting Google Business categories for diverse small businesses.

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

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!