Best AI tools for< Organize Metadata >

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.

Neptune is an MLOps stack component for experiment tracking. It allows users to track, compare, and share their models in one place. Neptune is used by scaling ML teams to skip days of debugging disorganized models, avoid long and messy model handovers, and start logging for free.

Kino AI is an advanced media management tool designed for enterprises to streamline their production processes. It offers comprehensive logging, transcription in multiple languages with speaker separation, metadata synchronization, and integration with major NLEs. Kino AI aims to save time and effort by providing a user-friendly platform for searching, viewing, and logging media assets.

Petal is a document analysis platform powered by generative AI technology. It allows users to chat with their documents, providing fully sourced and reliable answers by linking to their own knowledge bases. Users can train AI on their documents to support their work, ensuring centralized knowledge management and document synchronization. Petal offers features such as automatic metadata extraction, file deduplication, and collaboration tools to enhance productivity and streamline workflows for researchers, faculty, and industry experts.

Playbook is an AI-powered file manager for creatives, by creatives. It is the world's first collaborative creative space that combines the features of Dropbox and Pinterest, with 4TB of starter space. Playbook helps users organize, share, and collaborate on creative files and projects with their clients and team. It uses AI to organize work in a way that makes sense, and allows users to find files 10x faster than traditional cloud storage. Playbook also has a beautiful gallery feature that makes it easy to share work with clients and gather feedback.

CoSchedule is an all-in-one marketing calendar that helps businesses organize their marketing efforts. It offers a variety of features, including a social calendar, content calendar, marketing suite, and AI-powered tools. CoSchedule is designed to help businesses save time and improve their marketing results.

Tettra is an AI-powered knowledge management system designed to help organizations curate company information into an internal knowledge base, instantly answer team questions with AI in Slack or the app, save reusable answers with automation, and streamline onboarding processes. It offers features like internal Q&A, knowledge management system, Slack integration, CSAT notifications, and integrations with SupportMan. Tettra is trusted by various teams to organize scattered knowledge and improve efficiency by eliminating bottlenecks and saving time from repetitive questions.

Dokkio is an AI-powered platform that helps users find, organize, and understand all of their online files. By leveraging AI technology, Dokkio enables users to work with their cloud files efficiently and collaboratively. The platform offers tools for managing multiple activities, finding documents and files, compiling research materials, and organizing a content library. Dokkio aims to streamline the process of accessing and utilizing online content, regardless of where it is stored.

ImageSorter.io is a free online tool designed to help users sort and organize their images efficiently. Users can easily select and add images to the tool, then use simple drag-and-drop functionality to rearrange them. The tool also offers a Pro version with additional features such as setting confidence thresholds and sorting images by tag order. ImageSorter.io provides a user-friendly interface that simplifies the image organization process, making it a valuable tool for individuals and professionals alike.

PaperClip is an AI tool designed to help users keep track of their daily AI papers review. It allows users to memorize details from papers in machine learning, computer vision, and natural language processing. The tool provides an extension that enables users to find back important findings from AI research papers, ML blog posts, and news. PaperClip's AI runs locally, ensuring data privacy by not sending any information to external servers. With features like offline support, data cleaning, and easy reset options, PaperClip offers a convenient solution for organizing and accessing research findings.

Phew AI Tab is an AI-powered tab management tool that helps users organize and retrieve tab information efficiently. It utilizes AI-based grouping and spaces in a vertical sidebar to streamline tab management. With features like AI Grouping & Auto Collapse, AI Analyzing, AI Search, and AI-based Space & Cloud Sync, Phew AI Tab aims to enhance productivity and user experience. The tool ensures privacy with military-grade protection and offers seamless synchronization across devices.

moyoNote is an AI-powered tool designed for organizing, managing, and structuring information into a comprehensive knowledge base. It offers features such as generating mind maps from text or files, interactive Q&A for maps, and customization options for personal expression. Users can easily share mind maps with others and control access permissions. The tool aims to simplify workflow, improve work efficiency, and enhance collaboration among users.

The website offers a service where users can send their notes to be organized in Notion. Users can get started with Telegram and Slack integration is coming soon. The platform aims to simplify the process of organizing notes and tasks for better productivity.

Emdash is an AI-powered tool designed to help users organize their book highlights effectively. By utilizing AI technology, Emdash can analyze text snippets, making it easier for users to remember and learn from their readings. The tool offers features such as conceptual cousins, instant semantic search, tagging, rating, note-taking, and reflection capabilities. Emdash is free, open-source, and allows users to export their organized data back to epub format for review on e-readers. Additionally, the tool promotes random discovery of forgotten ideas, rephrasing dense concepts with metaphors, and supports importing highlights from various sources like Kindle. Emdash prioritizes user privacy by conducting on-device analysis and offers the flexibility to opt into advanced features. Future updates include Monk-Mode Lenses for summarizing complex ideas, Socratic switch for book interviews, cross-device syncing, backup, and publishing or sharing excerpts.

AITag.Photo is an AI tool that helps users quickly generate tags, descriptions, and other keywords for their photos. It uses advanced image understanding technology to accurately generate content descriptions for each photo, making it easy to organize and manage photos efficiently. Users can create stories based on images, featuring dialogues or monologues of characters. AITag.Photo simplifies the process of describing photos, saving users time and effort in photo management.

Notle is a productivity tool designed to help users organize their notes efficiently. With a user-friendly interface, Notle allows users to create, edit, and categorize notes seamlessly. Users can also set reminders, attach files, and collaborate with others on their notes. Whether you're a student, professional, or anyone in between, Notle is the perfect solution for keeping your thoughts and ideas organized.

Note Rack is an AI-powered tool designed to help students organize their academic life efficiently. It serves as a centralized platform for managing notes and tasks, enabling users to streamline their study routines. With features like collaboration, sharing, powerful search function, and ChatGPT integration, Note Rack aims to enhance the note-taking experience and provide personalized study assistance. Say goodbye to endless scrolling through handwritten notes and hello to a more productive and effective way of studying.

Datr is an AI-powered dating assistant that helps users organize their dates, find Instagram users nearby, and generate AI-generated conversation starters. It is designed to make online dating easier and more efficient.

SmarterFolder is an AI-powered tool designed for MacOS that enables users to perform semantic image searches on their local drive. By utilizing AI technology, users can find photos based on descriptions of the content within the images. The tool ensures full privacy as no images are shared or stored externally, providing a secure and efficient way to organize and retrieve photos.

ToDoIt is a voice and AI-powered to-do list application that helps users manage their tasks efficiently using natural language. Users can create tasks in less than 10 seconds by speaking, receive task recommendations based on their inputs, and enjoy smart task automation for improved productivity. The app offers different pricing plans with features like AI voice transcription, AI-powered task recommendations, and unlimited task recommendation refreshes. ToDoIt prioritizes user privacy and security by securely storing data and deleting audio files after transcription. Users can leave feedback through Insighto and benefit from the app's responsive web version.

Neptune is a scalable experiment tracker for teams training foundation models. Log millions of runs, effortlessly monitor and visualize model training, and deploy on your infrastructure. Track 100% of metadata to accelerate AI breakthroughs. Log and display any framework and metadata type from any ML pipeline. Organize experiments with nested structures and custom dashboards. Compare results, visualize training, and optimize models quicker. Version models, review stages, and access production-ready models. Share results, manage users, and projects. Integrate with 25+ frameworks. Trusted by great companies to improve workflow.

Diffusion Toolkit is an image metadata-indexer and viewer for AI-generated images. It helps you organize, search, and sort your ever-growing collection. Key features include: - Scanning images and storing prompts and other metadata (PNGInfo) - Searching for images using simple queries or filters - Viewing images and metadata easily - Tagging images with favorites, ratings, and NSFW flags - Sorting images by date created, aesthetic score, or rating - Auto-tagging NSFW images by keywords - Blurring images tagged as NSFW - Creating and managing albums - Viewing and searching prompts - Drag-and-drop functionality Diffusion Toolkit supports various image formats, including JPG/JPEG, PNG, WebP, and TXT metadata. It also supports metadata formats from popular AI image generators like AUTOMATIC1111, InvokeAI, NovelAI, Stable Diffusion, and more. You can use Diffusion Toolkit even on images without metadata and still enjoy features like rating and album management.

WordLift is a plugin that helps online content creators organize posts and pages by adding facts, links, and media to build beautifully structured websites for both humans and search engines. It allows users to create, own, and publish their own knowledge graph, and publishes content as Linked Open Data following Tim Berners-Lee's Linked Data Principles. The plugin supports writers by providing trustworthy and contextual facts, enriching content with images, links, and interactive visualizations, keeping readers engaged with relevant content recommendations, and producing content compatible with schema.org markup for better indexing and display on search engines. It also offers features like creating a personal Wikipedia, publishing metadata to share and distribute content, and supporting content tagging for better SEO.

JabRef is an open-source, cross-platform citation and reference management tool that helps users collect, organize, cite, and share research sources. It offers features like searching across online scientific catalogues, importing references in various formats, extracting metadata from PDFs, customizable citation key generator, support for Word and LibreOffice/OpenOffice, and more. Users can organize their research items hierarchically, find and merge duplicates, attach related documents, and keep track of what they read. JabRef also supports sharing via various export options and syncs library contents in a team via a SQL database. It is actively developed, free of charge, and offers native BibTeX and Biblatex support.

The Local File Organizer is an AI-powered tool designed to help users organize their digital files efficiently and securely on their local device. By leveraging advanced AI models for text and visual content analysis, the tool automatically scans and categorizes files, generates relevant descriptions and filenames, and organizes them into a new directory structure. All AI processing occurs locally using the Nexa SDK, ensuring privacy and security. With support for multiple file types and customizable prompts, this tool aims to simplify file management and bring order to users' digital lives.

A-MEM is a novel agentic memory system designed for Large Language Model (LLM) agents to dynamically organize memories in an agentic way. It introduces advanced memory organization capabilities, intelligent indexing, and linking of memories, comprehensive note generation, interconnected knowledge networks, continuous memory evolution, and agent-driven decision making for adaptive memory management. The system facilitates agent construction and enables dynamic memory operations and flexible agent-memory interactions.

The Second Brain AI Agent Project is a tool designed to empower personal knowledge management by automatically indexing markdown files and links, providing a smart search engine powered by OpenAI, integrating seamlessly with different note-taking methods, and enhancing productivity by accessing information efficiently. The system is built on LangChain framework and ChromaDB vector store, utilizing a pipeline to process markdown files and extract text and links for indexing. It employs a Retrieval-augmented generation (RAG) process to provide context for asking questions to the large language model. The tool is beneficial for professionals, students, researchers, and creatives looking to streamline workflows, improve study sessions, delve deep into research, and organize thoughts and ideas effortlessly.

Cognita is an open-source framework to organize your RAG codebase along with a frontend to play around with different RAG customizations. It provides a simple way to organize your codebase so that it becomes easy to test it locally while also being able to deploy it in a production ready environment. The key issues that arise while productionizing RAG system from a Jupyter Notebook are: 1. **Chunking and Embedding Job** : The chunking and embedding code usually needs to be abstracted out and deployed as a job. Sometimes the job will need to run on a schedule or be trigerred via an event to keep the data updated. 2. **Query Service** : The code that generates the answer from the query needs to be wrapped up in a api server like FastAPI and should be deployed as a service. This service should be able to handle multiple queries at the same time and also autoscale with higher traffic. 3. **LLM / Embedding Model Deployment** : Often times, if we are using open-source models, we load the model in the Jupyter notebook. This will need to be hosted as a separate service in production and model will need to be called as an API. 4. **Vector DB deployment** : Most testing happens on vector DBs in memory or on disk. However, in production, the DBs need to be deployed in a more scalable and reliable way. Cognita makes it really easy to customize and experiment everything about a RAG system and still be able to deploy it in a good way. It also ships with a UI that makes it easier to try out different RAG configurations and see the results in real time. You can use it locally or with/without using any Truefoundry components. However, using Truefoundry components makes it easier to test different models and deploy the system in a scalable way. Cognita allows you to host multiple RAG systems using one app. ### Advantages of using Cognita are: 1. A central reusable repository of parsers, loaders, embedders and retrievers. 2. Ability for non-technical users to play with UI - Upload documents and perform QnA using modules built by the development team. 3. Fully API driven - which allows integration with other systems. > If you use Cognita with Truefoundry AI Gateway, you can get logging, metrics and feedback mechanism for your user queries. ### Features: 1. Support for multiple document retrievers that use `Similarity Search`, `Query Decompostion`, `Document Reranking`, etc 2. Support for SOTA OpenSource embeddings and reranking from `mixedbread-ai` 3. Support for using LLMs using `Ollama` 4. Support for incremental indexing that ingests entire documents in batches (reduces compute burden), keeps track of already indexed documents and prevents re-indexing of those docs.

Commonplace Bot is a modern representation of the commonplace book, leveraging modern technological advancements in computation, data storage, machine learning, and networking. It aims to capture, engage, and share knowledge by providing a platform for users to collect ideas, quotes, and information, organize them efficiently, engage with the data through various strategies and triggers, and transform the data into new mediums for sharing. The tool utilizes embeddings and cached transformations for efficient data storage and retrieval, flips traditional engagement rules by engaging with the user, and enables users to alchemize raw data into new forms like art prompts. Commonplace Bot offers a unique approach to knowledge management and creative expression.

PhotoPrism is an AI-powered photos app for the decentralized web. It uses the latest technologies to tag and find pictures automatically without getting in your way. You can run it at home, on a private server, or in the cloud.

Vespa is a platform that performs operations such as selecting a subset of data in a large corpus, evaluating machine-learned models over the selected data, organizing and aggregating it, and returning it, typically in less than 100 milliseconds, all while the data corpus is continuously changing. It has been in development for many years and is used on a number of large internet services and apps which serve hundreds of thousands of queries from Vespa per second.

Griptape is a modular Python framework for building AI-powered applications that securely connect to your enterprise data and APIs. It offers developers the ability to maintain control and flexibility at every step. Griptape's core components include Structures (Agents, Pipelines, and Workflows), Tasks, Tools, Memory (Conversation Memory, Task Memory, and Meta Memory), Drivers (Prompt and Embedding Drivers, Vector Store Drivers, Image Generation Drivers, Image Query Drivers, SQL Drivers, Web Scraper Drivers, and Conversation Memory Drivers), Engines (Query Engines, Extraction Engines, Summary Engines, Image Generation Engines, and Image Query Engines), and additional components (Rulesets, Loaders, Artifacts, Chunkers, and Tokenizers). Griptape enables developers to create AI-powered applications with ease and efficiency.

The worker-vLLM repository provides a serverless endpoint for deploying OpenAI-compatible vLLM models with blazing-fast performance. It supports deploying various model architectures, such as Aquila, Baichuan, BLOOM, ChatGLM, Command-R, DBRX, DeciLM, Falcon, Gemma, GPT-2, GPT BigCode, GPT-J, GPT-NeoX, InternLM, Jais, LLaMA, MiniCPM, Mistral, Mixtral, MPT, OLMo, OPT, Orion, Phi, Phi-3, Qwen, Qwen2, Qwen2MoE, StableLM, Starcoder2, Xverse, and Yi. Users can deploy models using pre-built Docker images or build custom images with specified arguments. The repository also supports OpenAI compatibility for chat completions, completions, and models, with customizable input parameters. Users can modify their OpenAI codebase to use the deployed vLLM worker and access a list of available models for deployment.

The 'ai-dev-2024-ml-workshop' repository contains materials for the Deploy and Monitor ML Pipelines workshop at the AI_dev 2024 conference in Paris, focusing on deployment designs of machine learning pipelines using open-source applications and free-tier tools. It demonstrates automating data refresh and forecasting using GitHub Actions and Docker, monitoring with MLflow and YData Profiling, and setting up a monitoring dashboard with Quarto doc on GitHub Pages.

HugeSCM is a cloud-based version control system designed to address R&D repository size issues. It effectively manages large repositories and individual large files by separating data storage and utilizing advanced algorithms and data structures. It aims for optimal performance in handling version control operations of large-scale repositories, making it suitable for single large library R&D, AI model development, and game or driver development.

LLMWare is a framework for quickly developing LLM-based applications including Retrieval Augmented Generation (RAG) and Multi-Step Orchestration of Agent Workflows. This project provides a comprehensive set of tools that anyone can use - from a beginner to the most sophisticated AI developer - to rapidly build industrial-grade, knowledge-based enterprise LLM applications. Our specific focus is on making it easy to integrate open source small specialized models and connecting enterprise knowledge safely and securely.

Collective Mind (CM) is a collection of portable, extensible, technology-agnostic and ready-to-use automation recipes with a human-friendly interface (aka CM scripts) to unify and automate all the manual steps required to compose, run, benchmark and optimize complex ML/AI applications on any platform with any software and hardware: see online catalog and source code. CM scripts require Python 3.7+ with minimal dependencies and are continuously extended by the community and MLCommons members to run natively on Ubuntu, MacOS, Windows, RHEL, Debian, Amazon Linux and any other operating system, in a cloud or inside automatically generated containers while keeping backward compatibility - please don't hesitate to report encountered issues here and contact us via public Discord Server to help this collaborative engineering effort! CM scripts were originally developed based on the following requirements from the MLCommons members to help them automatically compose and optimize complex MLPerf benchmarks, applications and systems across diverse and continuously changing models, data sets, software and hardware from Nvidia, Intel, AMD, Google, Qualcomm, Amazon and other vendors: * must work out of the box with the default options and without the need to edit some paths, environment variables and configuration files; * must be non-intrusive, easy to debug and must reuse existing user scripts and automation tools (such as cmake, make, ML workflows, python poetry and containers) rather than substituting them; * must have a very simple and human-friendly command line with a Python API and minimal dependencies; * must require minimal or zero learning curve by using plain Python, native scripts, environment variables and simple JSON/YAML descriptions instead of inventing new workflow languages; * must have the same interface to run all automations natively, in a cloud or inside containers. CM scripts were successfully validated by MLCommons to modularize MLPerf inference benchmarks and help the community automate more than 95% of all performance and power submissions in the v3.1 round across more than 120 system configurations (models, frameworks, hardware) while reducing development and maintenance costs.

ChatGPT is a large language model that can generate human-like text, translate languages, write different kinds of creative content, and answer your questions in a conversational way. It is trained on a massive amount of text data, and it is able to understand and respond to a wide range of natural language prompts. Here are 5 jobs suitable for this tool, in lowercase letters: 1. content writer 2. chatbot assistant 3. language translator 4. creative writer 5. researcher

This repository contains the code that Defog uses for the evaluation of generated SQL. It's based off the schema from the Spider, but with a new set of hand-selected questions and queries grouped by query category. The testing procedure involves generating a SQL query, running both the 'gold' query and the generated query on their respective database to obtain dataframes with the results, comparing the dataframes using an 'exact' and a 'subset' match, logging these alongside other metrics of interest, and aggregating the results for reporting. The repository provides comprehensive instructions for installing dependencies, starting a Postgres instance, importing data into Postgres, importing data into Snowflake, using private data, implementing a query generator, and running the test with different runners.

Crawl4AI is a powerful and free web crawling service that extracts valuable data from websites and provides LLM-friendly output formats. It supports crawling multiple URLs simultaneously, replaces media tags with ALT, and is completely free to use and open-source. Users can integrate Crawl4AI into Python projects as a library or run it as a standalone local server. The tool allows users to crawl and extract data from specified URLs using different providers and models, with options to include raw HTML content, force fresh crawls, and extract meaningful text blocks. Configuration settings can be adjusted in the `crawler/config.py` file to customize providers, API keys, chunk processing, and word thresholds. Contributions to Crawl4AI are welcome from the open-source community to enhance its value for AI enthusiasts and developers.

A digital librarian who identifies books from photos and provides detailed information.

Friendly AI travel companion for personalized trip planning.

Organize and develop ideas, respecting privacy and copyright laws.

Organize, Journal, and Achieve: Your All-in-One App for Masterful Task Management and Reflection

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.

Helps you organize any text into a Jira ticket!

I organize my thoughts using ontology matrices, for detailed CWP advice.

I help organize your feelings when you're feeling unclear or frustrated etc and aware of important matters. It's also great for sharing happy moments. I support your emotional well-being and self-understanding.

I brainstorm and organize story ideas into structured events, world facts, and character outlines. Elevate your storytelling craft with Fiction Flow's GhostWriter series; learn more at fictionflow.io.

I help plan and organize RAM Rallies. A RAM Rally is a unique type of rally geared toward adventure motorcycle and dual sport riders of all skill levels.

I help declutter your space by analyzing room photos and suggesting what to organize.

Align, organize, and enhance design assets effortlessly.

Connect and interact with your Google accounts. Organize, retrieve, and manipulate data with A.I

Solve math and logic with Smart GPT. Use Tree and Chain of thoughts to organize and find answers.

Step into the world of high fashion. As runway designers, they create unique collections, organize dazzling fashion shows, and stay ahead of the latest trends. It blends elements of design, marketing, and business management in the glamorous fashion industry

Comprehensive categorization and organization for AI Prompts

Organizes text into structured output and creates visual mind maps.

Assists in developing a visual inventory management app.

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

Guides software development processes through Kanban methodologies.