Best AI tools for< Find Relevant Images >

Excire is an award-winning AI-based software designed for perfect photo management. The latest version, Excire Foto 2024, elevates your photo search and organization to a new level. It features five independent AI models that provide various search functions. Additionally, it offers innovative features and enhanced performance. Excire Search 2024 is the latest upgrade for Lightroom Classic users, offering intelligent image management, improved photo analysis AI, and integrated free-text search. Excire excels in assisting users in maintaining digital archives, finding photos quickly, and creating photo collections effortlessly.

SearchGPTool is a free AI-powered search tool that offers advanced features for users to enhance their search experience. The tool utilizes artificial intelligence algorithms to provide accurate and relevant search results. Users can benefit from features such as natural language processing, image recognition, personalized recommendations, voice search, and real-time updates. SearchGPTool aims to revolutionize the way users search for information online by leveraging AI technology to deliver efficient and tailored search results.

Toolify is a comprehensive AI tools directory that provides a curated collection of over 11,609 AI tools and 1,000 GPTs. The platform is updated daily by ChatGPT, ensuring that users have access to the latest and most relevant AI solutions. Toolify categorizes AI tools into 233 categories, making it easy for users to find the right tool for their specific needs. The platform also offers a variety of resources, including articles, tutorials, and webinars, to help users learn about AI and how to use it effectively. With its user-friendly interface and extensive database, Toolify is an essential resource for anyone looking to explore the world of AI.

Prompts Club is an AI tool that offers a wide range of prompt templates, assets, and guides for various projects. Users can find consistent AI prompt and asset templates for images, text, and videos, all powered by AI technology. The platform allows users to sort and filter prompts based on popularity, newness, and ratings, making it easier to discover relevant resources for their projects.

ViSenze Solutions is an AI-powered platform that offers Smart Search and Product Discovery solutions for e-commerce businesses. Leveraging multimodal AI technology, ViSenze provides personalized search experiences, relevant product recommendations, and seamless shopping journeys to drive conversions and revenue. The platform integrates advanced AI and machine learning to enable natural language, image, and keyword-based searches, as well as personalized recommendations and AI-powered styling assistance. ViSenze also offers tools for customizing search and discovery experiences, automated product tagging, performance analytics, and global support for tailored solutions. With a focus on scalability, performance, and security, ViSenze aims to enhance the online shopping experience for customers and optimize business outcomes for retailers.

Jobright is an AI-powered job search platform that acts as your co-pilot in finding the freshest job opportunities. With its advanced AI technology, Jobright scans the job market continuously to bring you up-to-date job listings, saving you time and effort in your job search. The platform matches jobs to your skills and experience, provides key company insights, and suggests resume tweaks to help you secure more interviews with the right employers. Jobright offers a wide range of job listings across various industries, making it a valuable tool for job seekers looking to stay ahead in their job search.

Open Knowledge Maps is the world's largest AI-based search engine for scientific knowledge. It aims to revolutionize discovery by increasing the visibility of research findings for science and society. The platform is open and nonprofit, based on the principles of open science, with a mission to create an inclusive, sustainable, and equitable infrastructure for all users. Users can map research topics with AI, find documents, and identify concepts to enhance their literature search experience.

Octolens is an AI social listening tool that helps monitor keyword mentions on various social and community platforms. It provides real-time notifications for mentions on platforms like Twitter, LinkedIn, GitHub, and more. The tool uses AI to track conversations, complaints, and requests related to your product category, enabling businesses to engage with their audience effectively and stay informed about relevant discussions online.

GovDash is an AI business developer tool specifically designed for government contractors (GovCon). It offers a comprehensive platform that assists in capture, proposal development, contract management, and more, all in one place. GovDash aims to streamline the procurement process, save time, enhance proposal quality, and improve efficiency in managing business development tasks for government contractors. The tool is highly reliable, continuously evolving, and supported by exceptional customer service.

wisio is an AI-powered writing assistant that helps scientists write better scientific documents. It provides real-time feedback on grammar, style, and clarity, and it can also help you to generate new ideas and organize your thoughts. wisio is designed to make scientific writing faster, easier, and more effective.

The 'YouTube Comment Finder And AI Analysis' is a comprehensive web-based tool designed to simplify the process of searching, filtering, managing, and analyzing comments on YouTube videos. It empowers users to search, filter, sort, and analyze comments with ease, leveraging AI-powered comment analysis to gain insights into sentiment, trending topics, key points, and concise summaries of comments. The tool offers features such as comment search, filtering, sorting, exporting, and random comment picking, making it a valuable asset for content creators, marketers, and individuals looking to navigate the vast sea of comments on YouTube videos.

Nichely is an AI-powered SEO tool that helps users dominate their niche by utilizing cutting-edge AI technology to navigate and correlate millions of topics in various niches. It assists in building detailed topical maps, constructing comprehensive topic clusters, and discovering untapped content opportunities. With features like topic discovery, topic research, and keyword research, Nichely empowers users to find relevant long-tail keywords, analyze SERPs, and enhance their topical authority. The tool is suitable for content/niche website owners, entrepreneurs, bloggers, and individuals looking to improve their SEO strategies and content creation.

Name Drop AI is a tool that helps businesses generate leads and grow organically by identifying relevant conversations on social media platforms such as Twitter, Reddit, and others. It uses AI to pinpoint the most relevant conversations for a business's product or service, allowing them to engage with potential customers in a more authentic and efficient way. With Name Drop AI, businesses can save time and money by focusing on the conversations that matter most and interact with their audience in a more personalized manner.

Researcher.Life is a comprehensive research support platform that provides AI-powered tools and expert publication services to empower researchers at every stage of their journey. With a suite of advanced AI tools, including Paperpal, R Discovery, and Mind the Graph, Researcher.Life helps researchers write better, discover relevant literature, create stunning scientific illustrations, and find the right journals for their work. Additionally, Researcher.Life offers expert publication services from Editage, ensuring that manuscripts are polished and ready for publication. By combining AI technology with human expertise, Researcher.Life simplifies complex research tasks, saves time, and accelerates the path to success for researchers worldwide.

Seamless is an AI Literature Review Tool for Scientific Research that enables users to draft literature reviews 100x faster by leveraging advanced AI technology. It allows researchers to find relevant papers and create a draft directly from an excerpt of their work. Seamless utilizes the Semantic Scholar database of scientific papers and large language models like GPT-4 to generate literature reviews in various fields such as engineering, computer science, chemistry, biology, law, medicine, pharma, and business. The tool is designed to streamline the process of literature review creation and enhance the efficiency of researchers and students.

Emergent Mind is a website that provides access to trending AI papers. Users can browse papers by category, week, month, or year. The website also provides summaries of trending AI papers on Twitter.

GoatStack is an AI-powered newsletter agent that delivers personalized insights from scientific papers. It reads over 4000 papers daily and handpicks the most relevant ones for you. With GoatStack, you can stay up-to-date on the latest AI breakthroughs and advancements. It offers a range of features to help you customize your newsletter, including the ability to personalize topics, generalize topics, or be specific with content.

Summarize Paper .com is an open-source AI tool that provides concise, understandable, and insightful summaries of the latest research articles on arXiv. The tool uses AI to generate key points and layman's summaries of research papers, making it easy for users to stay up-to-date with the latest developments in their field. In addition to its summary service, Summarize Paper .com also offers an AI assistant that can answer questions about arXiv papers. The tool is designed to make it easy for researchers, students, journalists, and anyone else who wants to stay informed about the latest research to access and understand the latest findings.

Lateral is an AI-powered research tool that helps academics and students streamline their workflow by seamlessly searching, saving, and organizing findings across their papers. It uses AI to generate an auto-generated table, name concepts, and provide super search capabilities, making it easy to find relevant information quickly. Lateral also allows users to collaborate and share their work, making it a valuable tool for researchers working on collaborative projects.

AI Fund is a platform that focuses on connecting job seekers with opportunities at AI fund companies. It serves as a centralized hub for individuals looking to work in the field of artificial intelligence. The platform provides a curated list of job openings at various AI-focused organizations, making it easier for candidates to find relevant positions in the industry. AI Fund aims to streamline the job search process for AI professionals and facilitate the recruitment process for companies in need of AI talent.

CLIPPyX is a powerful system-wide image search and management tool that offers versatile search options to find images based on their content, text, and visual similarity. With advanced features, users can effortlessly locate desired images across their entire computer's disk(s), regardless of their location or file names. The tool utilizes OpenAI's CLIP for image embeddings and text-based search, along with OCR for extracting text from images. It also employs Voidtools Everything SDK to list paths of all images on the system. CLIPPyX server receives search queries and queries collections of image embeddings and text embeddings to return relevant images.

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.

Lobe Chat Plugins Index is a repository that serves as a collection of various plugins for Function Calling. Users can submit their plugins by following specific instructions. The repository includes a wide range of plugins for different tasks such as image generation, stock analysis, web search, NFT tracking, calendar management, and more. Each plugin is tagged with relevant keywords for easy identification and usage. The repository encourages contributions and provides guidelines for submitting new plugins. It is a valuable resource for developers looking to enhance chatbot functionalities with different plugins.

Stellar Chat is a multi-modal chat application that enables users to create custom agents and integrate with local language models and OpenAI models. It provides capabilities for generating images, visual recognition, text-to-speech, and speech-to-text functionalities. Users can engage in multimodal conversations, create custom agents, search messages and conversations, and integrate with various applications for enhanced productivity. The project is part of the '100 Commits' competition, challenging participants to make meaningful commits daily for 100 consecutive days.

Khoj is an open-source, personal AI assistant that extends your capabilities by creating always-available AI agents. You can share your notes and documents to extend your digital brain, and your AI agents have access to the internet, allowing you to incorporate real-time information. Khoj is accessible on Desktop, Emacs, Obsidian, Web, and Whatsapp, and you can share PDF, markdown, org-mode, notion files, and GitHub repositories. You'll get fast, accurate semantic search on top of your docs, and your agents can create deeply personal images and understand your speech. Khoj is self-hostable and always will be.

Praison AI is a low-code, centralised framework that simplifies the creation and orchestration of multi-agent systems for various LLM applications. It emphasizes ease of use, customization, and human-agent interaction. The tool leverages AutoGen and CrewAI frameworks to facilitate the development of AI-generated scripts and movie concepts. Users can easily create, run, test, and deploy agents for scriptwriting and movie concept development. Praison AI also provides options for full automatic mode and integration with OpenAI models for enhanced AI capabilities.

Awesome AI-Powered Developer Tools is a curated list of AI-powered developer tools that leverage AI to assist developers in tasks such as code completion, refactoring, debugging, documentation, and more. The repository includes a wide range of tools, from IDEs and Git clients to assistants, agents, app generators, UI generators, snippet generators, documentation tools, code generation tools, agent platforms, OpenAI plugins, search tools, and testing tools. These tools are designed to enhance developer productivity and streamline various development tasks by integrating AI capabilities.

VideoDB Python SDK allows you to interact with the VideoDB serverless database. Manage videos as intelligent data, not files. It's scalable, cost-efficient & optimized for AI applications and LLM integration. The SDK provides functionalities for uploading videos, viewing videos, streaming specific sections of videos, searching inside a video, searching inside multiple videos in a collection, adding subtitles to a video, generating thumbnails, and more. It also offers features like indexing videos by spoken words, semantic indexing, and future indexing options for scenes, faces, and specific domains like sports. The SDK aims to simplify video management and enhance AI applications with video data.

LARS is an application that enables users to run Large Language Models (LLMs) locally on their devices, upload their own documents, and engage in conversations where the LLM grounds its responses with the uploaded content. The application focuses on Retrieval Augmented Generation (RAG) to increase accuracy and reduce AI-generated inaccuracies. LARS provides advanced citations, supports various file formats, allows follow-up questions, provides full chat history, and offers customization options for LLM settings. Users can force enable or disable RAG, change system prompts, and tweak advanced LLM settings. The application also supports GPU-accelerated inferencing, multiple embedding models, and text extraction methods. LARS is open-source and aims to be the ultimate RAG-centric LLM application.

L3AGI is an open-source tool that enables AI Assistants to collaborate together as effectively as human teams. It provides a robust set of functionalities that empower users to design, supervise, and execute both autonomous AI Assistants and Teams of Assistants. Key features include the ability to create and manage Teams of AI Assistants, design and oversee standalone AI Assistants, equip AI Assistants with the ability to retain and recall information, connect AI Assistants to an array of data sources for efficient information retrieval and processing, and employ curated sets of tools for specific tasks. L3AGI also offers a user-friendly interface, APIs for integration with other systems, and a vibrant community for support and collaboration.

This repository contains examples, applications, starter code, & tutorials to help you kickstart your GenAI projects. * These are built using LanceDB, a free, open-source, serverless vectorDB that **requires no setup**. * It **integrates into python data ecosystem** so you can simply start using these in your existing data pipelines in pandas, arrow, pydantic etc. * LanceDB has **native Typescript SDK** using which you can **run vector search** in serverless functions! This repository is divided into 3 sections: - Examples - Get right into the code with minimal introduction, aimed at getting you from an idea to PoC within minutes! - Applications - Ready to use Python and web apps using applied LLMs, VectorDB and GenAI tools - Tutorials - A curated list of tutorials, blogs, Colabs and courses to get you started with GenAI in greater depth.

ChatGPT Queue Prompts is a collection of prompt chains designed to enhance interactions with large language models like ChatGPT. These prompt chains help build context for the AI before performing specific tasks, improving performance. Users can copy and paste prompt chains into the ChatGPT Queue extension to process prompts in sequence. The repository includes example prompt chains for tasks like conducting AI company research, building SEO optimized blog posts, creating courses, revising resumes, enriching leads for CRM, personal finance document creation, workout and nutrition plans, marketing plans, and more.

This repository contains the code and instructions needed to build a sophisticated answer engine that leverages the capabilities of Groq, Mistral AI's Mixtral, Langchain.JS, Brave Search, Serper API, and OpenAI. Designed to efficiently return sources, answers, images, videos, and follow-up questions based on user queries, this project is an ideal starting point for developers interested in natural language processing and search technologies.

The LLMEvaluation repository is a comprehensive compendium of evaluation methods for Large Language Models (LLMs) and LLM-based systems. It aims to assist academics and industry professionals in creating effective evaluation suites tailored to their specific needs by reviewing industry practices for assessing LLMs and their applications. The repository covers a wide range of evaluation techniques, benchmarks, and studies related to LLMs, including areas such as embeddings, question answering, multi-turn dialogues, reasoning, multi-lingual tasks, ethical AI, biases, safe AI, code generation, summarization, software performance, agent LLM architectures, long text generation, graph understanding, and various unclassified tasks. It also includes evaluations for LLM systems in conversational systems, copilots, search and recommendation engines, task utility, and verticals like healthcare, law, science, financial, and others. The repository provides a wealth of resources for evaluating and understanding the capabilities of LLMs in different domains.

Embedchain is an Open Source Framework for personalizing LLM responses. It simplifies the creation and deployment of personalized AI applications by efficiently managing unstructured data, generating relevant embeddings, and storing them in a vector database. With diverse APIs, users can extract contextual information, find precise answers, and engage in interactive chat conversations tailored to their data. The framework follows the design principle of being 'Conventional but Configurable' to cater to both software engineers and machine learning engineers.

**deep** doctection is a Python library that orchestrates document extraction and document layout analysis tasks using deep learning models. It does not implement models but enables you to build pipelines using highly acknowledged libraries for object detection, OCR and selected NLP tasks and provides an integrated framework for fine-tuning, evaluating and running models. For more specific text processing tasks use one of the many other great NLP libraries. **deep** doctection focuses on applications and is made for those who want to solve real world problems related to document extraction from PDFs or scans in various image formats. **deep** doctection provides model wrappers of supported libraries for various tasks to be integrated into pipelines. Its core function does not depend on any specific deep learning library. Selected models for the following tasks are currently supported: * Document layout analysis including table recognition in Tensorflow with **Tensorpack**, or PyTorch with **Detectron2**, * OCR with support of **Tesseract**, **DocTr** (Tensorflow and PyTorch implementations available) and a wrapper to an API for a commercial solution, * Text mining for native PDFs with **pdfplumber**, * Language detection with **fastText**, * Deskewing and rotating images with **jdeskew**. * Document and token classification with all LayoutLM models provided by the **Transformer library**. (Yes, you can use any LayoutLM-model with any of the provided OCR-or pdfplumber tools straight away!). * Table detection and table structure recognition with **table-transformer**. * There is a small dataset for token classification available and a lot of new tutorials to show, how to train and evaluate this dataset using LayoutLMv1, LayoutLMv2, LayoutXLM and LayoutLMv3. * Comprehensive configuration of **analyzer** like choosing different models, output parsing, OCR selection. Check this notebook or the docs for more infos. * Document layout analysis and table recognition now runs with **Torchscript** (CPU) as well and **Detectron2** is not required anymore for basic inference. * [**new**] More angle predictors for determining the rotation of a document based on **Tesseract** and **DocTr** (not contained in the built-in Analyzer). * [**new**] Token classification with **LiLT** via **transformers**. We have added a model wrapper for token classification with LiLT and added a some LiLT models to the model catalog that seem to look promising, especially if you want to train a model on non-english data. The training script for LayoutLM can be used for LiLT as well and we will be providing a notebook on how to train a model on a custom dataset soon. **deep** doctection provides on top of that methods for pre-processing inputs to models like cropping or resizing and to post-process results, like validating duplicate outputs, relating words to detected layout segments or ordering words into contiguous text. You will get an output in JSON format that you can customize even further by yourself. Have a look at the **introduction notebook** in the notebook repo for an easy start. Check the **release notes** for recent updates. **deep** doctection or its support libraries provide pre-trained models that are in most of the cases available at the **Hugging Face Model Hub** or that will be automatically downloaded once requested. For instance, you can find pre-trained object detection models from the Tensorpack or Detectron2 framework for coarse layout analysis, table cell detection and table recognition. Training is a substantial part to get pipelines ready on some specific domain, let it be document layout analysis, document classification or NER. **deep** doctection provides training scripts for models that are based on trainers developed from the library that hosts the model code. Moreover, **deep** doctection hosts code to some well established datasets like **Publaynet** that makes it easy to experiment. It also contains mappings from widely used data formats like COCO and it has a dataset framework (akin to **datasets** so that setting up training on a custom dataset becomes very easy. **This notebook** shows you how to do this. **deep** doctection comes equipped with a framework that allows you to evaluate predictions of a single or multiple models in a pipeline against some ground truth. Check again **here** how it is done. Having set up a pipeline it takes you a few lines of code to instantiate the pipeline and after a for loop all pages will be processed through the pipeline.

AmbuFlow is a mobile application developed using HTML, CSS, JavaScript, and Google API to notify patients of nearby hospitals and provide estimated ambulance arrival times. It offers critical details like patient's location and enhances GPS route management with real-time traffic data for efficient navigation. The app helps users find nearby hospitals, track ambulances in real-time, and manage ambulance routes based on traffic and distance. It ensures quick emergency response, real-time tracking, enhanced communication, resource management, and a user-friendly interface for seamless navigation in high-stress situations.

Marqo is more than a vector database, it's an end-to-end vector search engine for both text and images. Vector generation, storage and retrieval are handled out of the box through a single API. No need to bring your own embeddings.

Getting ready to query agents or publishers? Upload your manuscript. I analyse your novel's writing style, themes and genre. I'll tell you how it's relevant to a modern audience, offer marketing insights and will even write you a draft synopsis and cover letter. I'll help you find relevant agents.

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I suggest trending hashtags for social media posts based on content and platform.

Teaches you how to use the Metaphor Search API using our Python SDK

Deep learning researcher explaining Google Gemini from PDFs.

Analytical and encouraging literature review assistant.

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Extract insights seamlessly from diverse documents.

Expertly guides users to identify gaps in research by analyzing and summarizing academic papers.

Finds the relevant XKCD comic for the described scenario

Web-savvy assistant for finding relevant scholarships

for relevant literature review and recent

Effortlessly suggests relevant hashtags for Instagram, LinkedIn, Twitter, and Facebook posts.

This Assistant assists library catalogers in selecting authority records. It advises librarians in creating queries and selecting the most relevant Name and Subject Heading Authority Records.

Write extended documentary scripts with free relevant video, music & thumbnail.

An AI blending wisdom with short, relevant myths.

Compares Your Resume with a Job Description, Highlighting Relevant Skills and Experience, and Finding Gaps. Provides Example Interview Questions. 👩‍💻 #Career #Jobhunting #Hiring #Hunting #Search #AISalon

An educational guide for respiratory therapists, covering a wide range of relevant topics.

Creates creative Twitter search queries about any topic or person