Best AI tools for< Process Vision >

Neurala is a company that provides visual quality inspection software powered by AI. Their software is designed to help manufacturers improve their inspection process by reducing product defects, increasing inspection rates, and preventing production downtime. Neurala's software is flexible and can be easily retrofitted into existing production line infrastructure, without the need for AI experts or expensive capital expenditures. The company's software is used by a variety of manufacturers, including Sony, AITRIOS, and CB Insights.

Meshy is a free 3D AI model generator that empowers artists, game developers, and creators to bring their visions to life with a toolkit for creating 3D models in minutes. It offers powerful AI generation tools, lightning speed modeling, PBR maps, versatile art styles, and user-friendly interface. Meshy allows users to convert text to 3D, images to 3D models, and upload existing 3D models to transform words into textures. With multilingual support, API integration, and various export options, Meshy provides a seamless 3D workflow for users to unleash their creativity like never before.

Custom Vision is a cognitive service provided by Microsoft that offers a user-friendly platform for creating custom computer vision models. Users can easily train the models by providing labeled images, allowing them to tailor the models to their specific needs. The service simplifies the process of implementing visual intelligence into applications, making it accessible even to those without extensive machine learning expertise.

Shaip is a human-powered data processing service specializing in AI and ML models. They offer a wide range of services including data collection, annotation, de-identification, and more. Shaip provides high-quality training data for various AI applications, such as healthcare AI, conversational AI, and computer vision. With over 15 years of expertise, Shaip helps organizations unlock critical information from unstructured data, enabling them to achieve better results in their AI initiatives.

Namique is an AI-powered name generator that helps businesses create short, brandable, and memorable names. It utilizes an advanced AI model to generate unique and attention-grabbing names. Namique also offers custom filters to help businesses find the perfect name for their brand. Additionally, Namique provides discounts on domain purchases when a name generated by Namique is used.

Kive is an all-in-one platform powered by AI that helps users generate ideas, produce professional content, organize assets, and build brands effortlessly. It offers features like creative asset management, AI production for visual assets, concept development, and library organization. Trusted by brands, agencies, and creatives, Kive streamlines the creative process and enhances productivity by leveraging AI technology.

Storyboarder.ai is a powerful AI-powered tool designed to streamline the storyboarding process for filmmakers. It offers advanced features such as AI-powered animatic and video creation, screenplay writing with AI, image-to-image upload, and more. The platform aims to enhance communication of artistic visions with crew members and clients by automating the generation of storyboards, shot lists, and screenplays, ultimately saving valuable time and ensuring effective collaboration throughout the project.

Open Agent Studio is a powerful no-code agent editor that introduces new automation concepts like Semantic Targets and Semantic Triggers in simple language, enabling the creation of future-proof agents that are robust to design changes. It is designed to target markets untouched by AI, offering subscribers a free 4-week course to launch custom agents with enterprise-grade white label. The tool includes an Agent Recorder for easy building of agents by recording keyboard and mouse actions, scraping data, and detecting the start node. Open Agent Studio is powered by Cheat Layer, a platform that leverages GPT-3 for automation and aims to democratize access to AI for rebuilding businesses online.

DraftAid is an AI-powered drawing automation tool that streamlines the fabrication drawing process, reducing the time from weeks to minutes. It integrates seamlessly with existing CAD software and offers extensive customization options to align with specific project requirements, delivering consistently accurate and high-quality drawings.

HireLakeAI is an AI-powered platform that helps businesses with their hiring process. It uses AI to automate tasks such as resume screening, candidate matching, and interview scheduling. HireLakeAI also provides insights into candidate data, such as their skills, experience, and personality. This information can help businesses make better hiring decisions and improve their overall hiring process.

LedgerBox is an AI tool that specializes in converting bank statements into digital formats. It simplifies the process of managing financial data by automatically extracting and organizing information from bank statements. With LedgerBox, users can easily convert paper-based bank statements into digital files, enabling quick and efficient financial analysis and reporting. The tool is designed to save time and reduce errors associated with manual data entry, making it a valuable asset for individuals and businesses looking to streamline their financial processes.

Innovatiana is a data labeling outsourcing platform that offers high-quality datasets for artificial intelligence models. They specialize in image, audio/video, and text data labeling tasks, providing ethical outsourcing with a focus on impact and transparency. Innovatiana recruits and trains their own team in Madagascar, ensuring fair pay and good working conditions. They offer competitive rates, secure data handling, and high-quality labeled data to feed AI models. The platform supports various AI tasks such as Computer Vision, Data Collection, Data Moderation, Documents Processing, and Natural Language Processing.

Akadimia Ai is an AI-powered platform designed to provide users with a range of educational resources and tools. The platform leverages artificial intelligence to offer personalized learning experiences, interactive tutorials, and assessments. Users can access a variety of courses, quizzes, and study materials tailored to their individual needs and learning preferences. Akadimia Ai aims to enhance the learning process by offering adaptive content recommendations and progress tracking features. Whether you are a student looking to improve your academic performance or a professional seeking to acquire new skills, Akadimia Ai offers a comprehensive learning solution to help you achieve your goals.

Uizard is an AI-powered UI design tool that simplifies the process of creating user interfaces, wireframes, mockups, and prototypes. It offers a range of features that enable users to generate designs from text prompts or screenshots, create themes, and transform hand-drawn sketches into digital designs. Uizard empowers product teams to visualize, communicate, and iterate on design concepts quickly and efficiently, making it an essential tool for designers, product managers, marketers, and developers.

U-xer is an innovative automation tool developed by Quality Museum Software Testing Services. It is designed to meet a broad range of needs, including Robotic Process Automation (RPA), test automation, and bot development. Crafted with user flexibility in mind, U-xer aims to be a user-friendly solution for your automation requirements! U-xer's unique screen recognition models interpret screens in the same way that humans do. This enables non-technical users to automate simple tasks, while allowing advanced users to tackle more complex tasks with ease. With U-xer, you can automate anything, anywhere, whether it's Web or Desktop. U-xer works seamlessly across all platforms with just a screenshot. Unlike other tools, U-xer interprets screens just like a human does, enabling more natural and accurate automation of a wide range of tasks.

Raman Labs is an AI tool that offers dedicated modules for computer vision-based tasks. It allows users to integrate machine learning functionality into their existing applications with just 2 lines of code, ensuring real-time performance even with high-resolution data on consumer-grade CPUs. The API is clean and minimalistic, robust to large-scale and resolution variations, and versatile, running on Python3 and Numpy. The tool adapts to the computing power of the system, supporting both CPU and GPU for different workloads.

Visual Electric is an AI image generator that utilizes advanced artificial intelligence algorithms to create stunning and realistic images. The tool is designed to assist users in generating high-quality visuals for various purposes, such as graphic design, digital art, and marketing materials. With its user-friendly interface and powerful AI capabilities, Visual Electric simplifies the image creation process and enables users to unleash their creativity without the need for extensive design skills. Whether you are a professional designer or a hobbyist, Visual Electric offers a versatile and efficient solution for all your image generation needs.

Aiternus is an AI Computer Vision and Data Analysis System that is revolutionizing industries with cutting-edge technology. It offers advanced solutions for various sectors such as manufacturing, construction, logistics, healthcare, retail, sports tech, electronics, and office spaces. Aiternus leverages AI to streamline processes, boost productivity, enhance safety and quality standards, and develop tailor-made solutions for clients' unique needs. The application provides features like work process monitoring, route optimization, AI chatbot support, demand predictions, quality control, performance analysis, and automation of tasks in office spaces.

dbNix AI is an enterprise AI company that provides a range of AI-powered solutions for businesses. Their platform offers various services, including workspace automation, contact center automation, asset inventory management, database AI, digital persona sharing, lead management, human resource AI, and network monitoring. dbNix AI's mission is to provide customers with the most compelling AI solutions and deliver the highest quality of customer service.

Removal.AI is an AI-powered tool that uses advanced computer vision algorithms to detect the foreground pixel and separates the background completely from the foreground. It is a free-to-use online tool that allows users to remove the background from images instantly. Removal.AI also offers a range of other features, including the ability to add text and effects, edit the foreground manually, and use presets to fit in different marketplaces.

UnrealOpenAIPlugin is a comprehensive Unreal Engine wrapper for the OpenAI API, supporting various endpoints such as Models, Completions, Chat, Images, Vision, Embeddings, Speech, Audio, Files, Moderations, Fine-tuning, and Functions. It provides support for both C++ and Blueprints, allowing users to interact with OpenAI services seamlessly within Unreal Engine projects. The plugin also includes tutorials, updates, installation instructions, authentication steps, examples of usage, blueprint nodes overview, C++ examples, plugin structure details, documentation references, tests, packaging guidelines, and limitations. Users can leverage this plugin to integrate powerful AI capabilities into their Unreal Engine projects effortlessly.

Zeta is a tool designed to build state-of-the-art AI models faster by providing modular, high-performance, and scalable building blocks. It addresses the common issues faced while working with neural nets, such as chaotic codebases, lack of modularity, and low performance modules. Zeta emphasizes usability, modularity, and performance, and is currently used in hundreds of models across various GitHub repositories. It enables users to prototype, train, optimize, and deploy the latest SOTA neural nets into production. The tool offers various modules like FlashAttention, SwiGLUStacked, RelativePositionBias, FeedForward, BitLinear, PalmE, Unet, VisionEmbeddings, niva, FusedDenseGELUDense, FusedDropoutLayerNorm, MambaBlock, Film, hyper_optimize, DPO, and ZetaCloud for different tasks in AI model development.

ModelFusion is an abstraction layer for integrating AI models into JavaScript and TypeScript applications, unifying the API for common operations such as text streaming, object generation, and tool usage. It provides features to support production environments, including observability hooks, logging, and automatic retries. You can use ModelFusion to build AI applications, chatbots, and agents. ModelFusion is a non-commercial open source project that is community-driven. You can use it with any supported provider. ModelFusion supports a wide range of models including text generation, image generation, vision, text-to-speech, speech-to-text, and embedding models. ModelFusion infers TypeScript types wherever possible and validates model responses. ModelFusion provides an observer framework and logging support. ModelFusion ensures seamless operation through automatic retries, throttling, and error handling mechanisms. ModelFusion is fully tree-shakeable, can be used in serverless environments, and only uses a minimal set of dependencies.

MLX-VLM is a package designed for running Vision LLMs on Mac systems using MLX. It provides a convenient way to install and utilize the package for processing large language models related to vision tasks. The tool simplifies the process of running LLMs on Mac computers, offering a seamless experience for users interested in leveraging MLX for vision-related projects.

MiniCPM-V is a series of end-side multimodal LLMs designed for vision-language understanding. The models take image and text inputs to provide high-quality text outputs. The series includes models like MiniCPM-Llama3-V 2.5 with 8B parameters surpassing proprietary models, and MiniCPM-V 2.0, a lighter model with 2B parameters. The models support over 30 languages, efficient deployment on end-side devices, and have strong OCR capabilities. They achieve state-of-the-art performance on various benchmarks and prevent hallucinations in text generation. The models can process high-resolution images efficiently and support multilingual capabilities.

ROSGPT_Vision is a new robotic framework designed to command robots using only two prompts: a Visual Prompt for visual semantic features and an LLM Prompt to regulate robotic reactions. It is based on the Prompting Robotic Modalities (PRM) design pattern and is used to develop CarMate, a robotic application for monitoring driver distractions and providing real-time vocal notifications. The framework leverages state-of-the-art language models to facilitate advanced reasoning about image data and offers a unified platform for robots to perceive, interpret, and interact with visual data through natural language. LangChain is used for easy customization of prompts, and the implementation includes the CarMate application for driver monitoring and assistance.

FiftyOne is an open-source tool designed for building high-quality datasets and computer vision models. It supercharges machine learning workflows by enabling users to visualize datasets, interpret models faster, and improve efficiency. With FiftyOne, users can explore scenarios, identify failure modes, visualize complex labels, evaluate models, find annotation mistakes, and much more. The tool aims to streamline the process of improving machine learning models by providing a comprehensive set of features for data analysis and model interpretation.

Go-anthropic is an unofficial API wrapper for Anthropic Claude in Go. It supports completions, streaming completions, messages, streaming messages, vision, and tool use. Users can interact with the Anthropic Claude API to generate text completions, analyze messages, process images, and utilize specific tools for various tasks.

CuMo is a project focused on scaling multimodal Large Language Models (LLMs) with Co-Upcycled Mixture-of-Experts. It introduces CuMo, which incorporates Co-upcycled Top-K sparsely-gated Mixture-of-experts blocks into the vision encoder and the MLP connector, enhancing the capabilities of multimodal LLMs. The project adopts a three-stage training approach with auxiliary losses to stabilize the training process and maintain a balanced loading of experts. CuMo achieves comparable performance to other state-of-the-art multimodal LLMs on various Visual Question Answering (VQA) and visual-instruction-following benchmarks.

Dash AI is an open-source coding assistant for Flutter developers. It is designed to not only write code but also run and debug it, allowing it to assist beyond code completion and automate routine tasks. Dash AI is powered by Gemini, integrated with the Dart Analyzer, and specifically tailored for Flutter engineers. The vision for Dash AI is to create a single-command assistant that can automate tedious development tasks, enabling developers to focus on creativity and innovation. It aims to assist with the entire process of engineering a feature for an app, from breaking down the task into steps to generating exploratory tests and iterating on the code until the feature is complete. To achieve this vision, Dash AI is working on providing LLMs with the same access and information that human developers have, including full contextual knowledge, the latest syntax and dependencies data, and the ability to write, run, and debug code. Dash AI welcomes contributions from the community, including feature requests, issue fixes, and participation in discussions. The project is committed to building a coding assistant that empowers all Flutter developers.

AI Runner is a multi-modal AI interface that allows users to run open-source large language models and AI image generators on their own hardware. The tool provides features such as voice-based chatbot conversations, text-to-speech, speech-to-text, vision-to-text, text generation with large language models, image generation capabilities, image manipulation tools, utility functions, and more. It aims to provide a stable and user-friendly experience with security updates, a new UI, and a streamlined installation process. The application is designed to run offline on users' hardware without relying on a web server, offering a smooth and responsive user experience.

ScreenAgent is a project focused on creating an environment for Visual Language Model agents (VLM Agent) to interact with real computer screens. The project includes designing an automatic control process for agents to interact with the environment and complete multi-step tasks. It also involves building the ScreenAgent dataset, which collects screenshots and action sequences for various daily computer tasks. The project provides a controller client code, configuration files, and model training code to enable users to control a desktop with a large model.

DataChain is an open-source Python library for processing and curating unstructured data at scale. It supports AI-driven data curation using local ML models and LLM APIs, handles large datasets, and is Python-friendly with Pydantic objects. It excels at optimizing batch operations and is designed for offline data processing, curation, and ETL. Typical use cases include Computer Vision data curation, LLM analytics, and validation.

Supervisely is a computer vision platform that provides a range of tools and services for developing and deploying computer vision solutions. It includes a data labeling platform, a model training platform, and a marketplace for computer vision apps. Supervisely is used by a variety of organizations, including Fortune 500 companies, research institutions, and government agencies.

EVE is an official PyTorch implementation of Unveiling Encoder-Free Vision-Language Models. The project aims to explore the removal of vision encoders from Vision-Language Models (VLMs) and transfer LLMs to encoder-free VLMs efficiently. It also focuses on bridging the performance gap between encoder-free and encoder-based VLMs. EVE offers a superior capability with arbitrary image aspect ratio, data efficiency by utilizing publicly available data for pre-training, and training efficiency with a transparent and practical strategy for developing a pure decoder-only architecture across modalities.

Eagle is a family of Vision-Centric High-Resolution Multimodal LLMs that enhance multimodal LLM perception using a mix of vision encoders and various input resolutions. The model features a channel-concatenation-based fusion for vision experts with different architectures and knowledge, supporting up to over 1K input resolution. It excels in resolution-sensitive tasks like optical character recognition and document understanding.

The LiveKit Agent Framework is designed for building real-time, programmable participants that run on servers. Easily tap into LiveKit WebRTC sessions and process or generate audio, video, and data streams. The framework includes plugins for common workflows, such as voice activity detection and speech-to-text. Agents integrates seamlessly with LiveKit server, offloading job queuing and scheduling responsibilities to it. This eliminates the need for additional queuing infrastructure. Agent code developed on your local machine can scale to support thousands of concurrent sessions when deployed to a server in production.

The Pipe is a multimodal-first tool for feeding files and web pages into vision-language models such as GPT-4V. It is best for LLM and RAG applications that require a deep understanding of tricky data sources. The Pipe is available as a hosted API at thepi.pe, or it can be set up locally.

MMStar is an elite vision-indispensable multi-modal benchmark comprising 1,500 challenge samples meticulously selected by humans. It addresses two key issues in current LLM evaluation: the unnecessary use of visual content in many samples and the existence of unintentional data leakage in LLM and LVLM training. MMStar evaluates 6 core capabilities across 18 detailed axes, ensuring a balanced distribution of samples across all dimensions.

Sparrow is an innovative open-source solution for efficient data extraction and processing from various documents and images. It seamlessly handles forms, invoices, receipts, and other unstructured data sources. Sparrow stands out with its modular architecture, offering independent services and pipelines all optimized for robust performance. One of the critical functionalities of Sparrow - pluggable architecture. You can easily integrate and run data extraction pipelines using tools and frameworks like LlamaIndex, Haystack, or Unstructured. Sparrow enables local LLM data extraction pipelines through Ollama or Apple MLX. With Sparrow solution you get API, which helps to process and transform your data into structured output, ready to be integrated with custom workflows. Sparrow Agents - with Sparrow you can build independent LLM agents, and use API to invoke them from your system. **List of available agents:** * **llamaindex** - RAG pipeline with LlamaIndex for PDF processing * **vllamaindex** - RAG pipeline with LLamaIndex multimodal for image processing * **vprocessor** - RAG pipeline with OCR and LlamaIndex for image processing * **haystack** - RAG pipeline with Haystack for PDF processing * **fcall** - Function call pipeline * **unstructured-light** - RAG pipeline with Unstructured and LangChain, supports PDF and image processing * **unstructured** - RAG pipeline with Weaviate vector DB query, Unstructured and LangChain, supports PDF and image processing * **instructor** - RAG pipeline with Unstructured and Instructor libraries, supports PDF and image processing. Works great for JSON response generation

Assistant to help researchers with thesis research and documentation process.

VisionCraft HTML Design specializes in transforming rough sketches into stunning, functional HTML designs, utilizing DALL-E visualizations to bring product managers' visions to life. Emphasizing user needs and design innovation, this process ensures perfect alignment from concept to code.

I guide you through the often confusing process of defining your business narrative - avoiding the generic, corporate poetry by keeping it simple, clear and impactful. Get clear on your Purpose, Vision, Mission and Values!

Este modelo de GPT proporciona información general sobre la toxina botulínica, incluyendo su historia, usos comunes y datos de interés. Está diseñado para educar y ofrecer una visión general basada en fuentes de información públicas y conocidas. No proporciona consejos médicos

Upload your process map and I will analyse and suggest improvements

Friendly process engineer for Coda.io

Guides clear BPMN process design with ASCII art

Optimizes production processes for improved efficiency and quality.

Optimizes business operations through process enhancements.

Optimizes production processes for efficient large-scale operations.

Improves operational efficiency by optimizing processes and reducing waste.

Discover Process Talks: Your Next Investment!

Optimizes manufacturing processes for efficiency and quality.

Emulating Whitehead's insights on 'Process and Reality'

Process Documentation for serving GPTs.

Trademark Process Assistant, Not an Attorney & Definitely Not Legal Advice (independently verify info received). Gain insights on U.S. trademark process & concepts, USPTO resources, application steps & more - all while being reminded of the importance of consulting legal pros 4 specific guidance.

Structured process for prioritizing marketing tasks based on strategic alignment. Outputs in Eisenhower, RACI and other methodologies.

Assists in the caregiving process for seniors.

Guides future parents through the adoption process with empathy and information.

Insurance providers collect and process personal health, financial, and property information, making it crucial to implement comprehensive data protection strategies.