Best AI tools for< Image Processor >

Faune is an anonymous AI chat app that brings the power of large language models (LLMs) like GPT-3, GPT-4, and Mistral directly to users. It prioritizes privacy and offers unique features such as a dynamic prompt editor, support for multiple LLMs, and a built-in image processor. With Faune, users can engage in rich and engaging AI conversations without the need for user accounts or complex setups.

MediaChance is a software company specializing in graphics, video, and multimedia software. Their products include Dynamic Auto Painter, Photo Reactor, Dynamic Photo HDR, Ultra Snap, and CQuill Writer. Dynamic Auto Painter is an algorithmic software that automatically repaints photos in the style of famous world masters. Photo Reactor is a nodal image editor that allows users to create thousands of new effects and image processing actions. Dynamic Photo HDR is a high dynamic range photo software with anti-ghosting, HDR fusion, and unlimited effects. Ultra Snap is a Windows image processor, vector editor, and smart clipboard tool all in one. CQuill Writer is a full-featured creative writing application with unlimited thematic dictionaries and style assistants.

Hailo is a leading provider of top-performing edge AI processors for various edge devices, offering generative AI accelerators, AI vision processors, and AI accelerators. The company's technology enables high-performance deep learning applications on edge devices, catering to industries such as automotive, security, industrial automation, retail, and personal computing.

AlgoDocs is a powerful AI Platform developed based on the latest technologies to streamline your processes and free your team from annoying and error-prone manual data entry by offering fast, secure, and accurate document data extraction.

Minduck is an AI-powered generating platform that helps users unleash their creativity and productivity. It offers features such as automatic analysis of words, recommendation of creation types, visualizations of ideas, and deepening of concepts with AI. Trusted by users from various backgrounds, Minduck simplifies tasks like image generation, content creation, and idea expansion. With its intuitive human creativity and AI efficiency, Minduck aims to assist users in taking the first step beyond ideas and turning them into reality.

SplitMyExpenses is an AI-powered application designed to simplify shared expenses with friends. It allows users to create groups, split bills, track debts, and settle up seamlessly. The app offers modern design, AI receipt itemization, friend data integration from payment apps, spending visualization, and secure payment handling. With over 150 supported currencies and no limits on expenses, SplitMyExpenses revolutionizes the age-old problem of bill splitting, providing users with time, money, and sanity-saving solutions.

LearnFast AI Physics Solver is an advanced AI-powered application designed to provide instant and accurate solutions to physics problems. It offers real-time physics solutions accessible anytime, anywhere, with support for text input, image uploads, and file formats. Users can benefit from free daily problem-solving, continuous upgrades for AI models, and a user-friendly interface. The application is suitable for high school students, university physics students, tutors, educators, lifelong learners, and physics enthusiasts.

Ximilar Visual AI for Business is an AI tool that offers a comprehensive platform for image recognition and visual search solutions. It provides features such as image classification, regression, object detection, AI model combination, image annotation, and more. Users can easily build custom machine learning models without coding, access ready-to-use visual AI demos, and benefit from features like image upscaling, background removal, and color extraction. The platform caters to various industries including fashion, home decor, stock photos, collectibles, med & biotech, manufacturing, and real estate.

AILab Tools is a revolutionary AI-powered platform that provides a comprehensive suite of image editing and enhancement tools. With advanced artificial intelligence algorithms, AILab Tools empowers users to effortlessly enhance, edit, and transform their images, unlocking endless creative possibilities. From background removal and object erasure to facial editing, photo colorization, and cartoonization, AILab Tools offers a wide range of features designed to cater to both professional photographers and casual users alike. Whether you're looking to enhance your social media presence, create stunning visuals for your website, or simply touch up your personal photos, AILab Tools has everything you need to achieve professional-quality results with minimal effort.

Anthropics Technology Ltd is a world leader in AI innovation, specializing in graphics and machine vision technologies. They offer a suite of editing products that provide full control over photography, including PortraitPro for professional retouching, PortraitPro Body for body editing, LandscapePro for intelligent landscape editing, and Smart Photo Editor for community-based photo editing. The company has a strong track record of innovation and is now collaborating with fashion industry brands to develop cutting-edge solutions for online fashion e-commerce.

Lumina is an AI-powered image processing tool designed to enhance and edit photos effortlessly. It eliminates the need for manual editing by automating tasks, allowing users to focus on creative work. With over 300k images processed daily, Lumina offers easy-to-use features that boost productivity and unleash creativity. From colorizing photos to enhancing images, Lumina provides professional-quality results in no time. The platform is user-friendly and caters to a global audience seeking efficient photo editing solutions.

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.

Deep Image AI is a revolutionary AI-powered image enhancer that allows users to upscale images up to 300 megapixels, remove artifacts, correct colors and light, remove backgrounds, and more. It is easy to use and does not require time-consuming manual post-processing. Deep Image AI also offers other AI-powered tools such as an avatar creator, image generator, and generative backdrops.

Media.io is an online platform offering a wide range of AI tools for video, audio, and image editing. Users can easily enhance their creative projects with features like AI Portrait Generator, AI Video Generator, Video Editor, Image Enhancer, and more. The platform provides a drag-and-drop interface, flexible editing options, a vast template library, and powerful AI tools, all accessible directly from the browser. Media.io aims to redefine video creation by providing smart editing solutions for creators in various fields such as business, marketing, social media, and entertainment.

Sightwise GmbH offers an end-to-end machine vision solution powered by synthetic data. Their modular software platform is designed for manufacturing companies to enhance visual quality assurance. By leveraging synthetic data, they create tailored datasets and applications for various inspection tasks, overcoming the limitations of traditional AI. The platform enables easy data management, dataset generation, application deployment, and continuous improvements, ultimately helping manufacturers achieve top-tier product quality.

Slazzer is an AI-powered tool that uses advanced computer vision algorithms to remove backgrounds from any image online and replace the background automatically with the best detailing in just a few seconds. It is a user-friendly platform that allows users to upload images and get clear, transparent backgrounds effortlessly. With over 1 million users worldwide and removing over 10 million backgrounds every month, Slazzer is a popular choice for individuals, photographers, advertisers, developers, car dealers, news & media, and ecommerce businesses. The tool is GDPR compliant and provides high-quality cutouts of people, products, cars, animals, graphics, and real estate. Slazzer offers an online background remover that instantly detects subjects in photos, saving users a significant amount of time. Users can also install the desktop application to process thousands of images at once, making it a convenient solution for design needs.

ImgUpscaler is an AI-powered image upscaler that allows users to enhance and upscale images using deep learning and super-resolution technology. It supports batch processing, allowing users to upscale multiple images simultaneously. ImgUpscaler is particularly effective for upscaling anime and cartoon images, producing higher quality results compared to other tools like ImgLarger and Waifu2x. The tool is free to use for non-login users, with limitations on image size and batch processing. Paid plans starting from $3.9 are available for users who require higher resolution and batch processing capabilities.

Image AI is an all-in-one AI image platform that provides a wide range of AI image tools for users to create unlimited possibilities. Users can easily swap faces, convert photos to stickers, transform faces into different styles, restore blurry faces, upscale image resolution, reimagine existing images, recognize image content, convert text to images, remove backgrounds, watermarks, and text from images, and more. The platform offers high-quality results, easy-to-use interfaces, and smart AI technology for efficient and professional image editing.

TextUnbox is an AI-powered tool that allows users to extract text from images, generate images from text descriptions, translate text, remove image backgrounds, and more. It supports over 20 languages and can be used in the browser or integrated into custom solutions using its REST API.

This website provides a tool that allows users to convert 2D images into 3D images. The tool uses artificial intelligence to extract depth information from the image, which is then used to create a 3D model. The resulting 3D model can be embedded into a website or shared via a link.

InternVL scales up the ViT to _**6B parameters**_ and aligns it with LLM. It is a vision-language foundation model that can perform various tasks, including: **Visual Perception** - Linear-Probe Image Classification - Semantic Segmentation - Zero-Shot Image Classification - Multilingual Zero-Shot Image Classification - Zero-Shot Video Classification **Cross-Modal Retrieval** - English Zero-Shot Image-Text Retrieval - Chinese Zero-Shot Image-Text Retrieval - Multilingual Zero-Shot Image-Text Retrieval on XTD **Multimodal Dialogue** - Zero-Shot Image Captioning - Multimodal Benchmarks with Frozen LLM - Multimodal Benchmarks with Trainable LLM - Tiny LVLM InternVL has been shown to achieve state-of-the-art results on a variety of benchmarks. For example, on the MMMU image classification benchmark, InternVL achieves a top-1 accuracy of 51.6%, which is higher than GPT-4V and Gemini Pro. On the DocVQA question answering benchmark, InternVL achieves a score of 82.2%, which is also higher than GPT-4V and Gemini Pro. InternVL is open-sourced and available on Hugging Face. It can be used for a variety of applications, including image classification, object detection, semantic segmentation, image captioning, and question answering.

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.

The 'pictureChange' repository is a plugin that supports image processing using Baidu AI, stable diffusion webui, and suno music composition AI. It also allows for file summarization and image summarization using AI. The plugin supports various stable diffusion models, administrator control over group chat features, concurrent control, and custom templates for image and text generation. It can be deployed on WeChat enterprise accounts, personal accounts, and public accounts.

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.

This repository contains code for the paper 'Robust CLIP: Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models'. It focuses on fine-tuning CLIP in an unsupervised manner to enhance its robustness against visual adversarial attacks. By replacing the vision encoder of large vision-language models with the fine-tuned CLIP models, it achieves state-of-the-art adversarial robustness on various vision-language tasks. The repository provides adversarially fine-tuned ViT-L/14 CLIP models and offers insights into zero-shot classification settings and clean accuracy improvements.

This repository, MMC, focuses on advancing multimodal chart understanding through large-scale instruction tuning. It introduces a dataset supporting various tasks and chart types, a benchmark for evaluating reasoning capabilities over charts, and an assistant achieving state-of-the-art performance on chart QA benchmarks. The repository provides data for chart-text alignment, benchmarking, and instruction tuning, along with existing datasets used in experiments. Additionally, it offers a Gradio demo for the MMCA model.

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.

This repository provides the latest implementation for the AI Horde Worker, allowing users to utilize their graphics card(s) to generate, post-process, or analyze images for others. It offers a platform where users can create images and earn 'kudos' in return, granting priority for their own image generations. The repository includes important details for setup, recommendations for system configurations, instructions for installation on Windows and Linux, basic usage guidelines, and information on updating the AI Horde Worker. Users can also run the worker with multiple GPUs and receive notifications for updates through Discord. Additionally, the repository contains models that are licensed under the CreativeML OpenRAIL License.

Vector Companion is an AI tool designed to act as a virtual companion on your computer. It consists of two personalities, Axiom and Axis, who can engage in conversations based on what is happening on the screen. The tool can transcribe audio output and user microphone input, take screenshots, and read text via OCR to create lifelike interactions. It requires specific prerequisites to run on Windows and uses VB Cable to capture audio. Users can interact with Axiom and Axis by running the main script after installation and configuration.

AIAvatarKit is a tool for building AI-based conversational avatars quickly. It supports various platforms like VRChat and cluster, along with real-world devices. The tool is extensible, allowing unlimited capabilities based on user needs. It requires VOICEVOX API, Google or Azure Speech Services API keys, and Python 3.10. Users can start conversations out of the box and enjoy seamless interactions with the avatars.

ztachip is a RISCV accelerator designed for vision and AI edge applications, offering up to 20-50x acceleration compared to non-accelerated RISCV implementations. It features an innovative tensor processor hardware to accelerate various vision tasks and TensorFlow AI models. ztachip introduces a new tensor programming paradigm for massive processing/data parallelism. The repository includes technical documentation, code structure, build procedures, and reference design examples for running vision/AI applications on FPGA devices. Users can build ztachip as a standalone executable or a micropython port, and run various AI/vision applications like image classification, object detection, edge detection, motion detection, and multi-tasking on supported hardware.

Intel® Extension for Transformers is an innovative toolkit designed to accelerate GenAI/LLM everywhere with the optimal performance of Transformer-based models on various Intel platforms, including Intel Gaudi2, Intel CPU, and Intel GPU. The toolkit provides the below key features and examples: * Seamless user experience of model compressions on Transformer-based models by extending [Hugging Face transformers](https://github.com/huggingface/transformers) APIs and leveraging [Intel® Neural Compressor](https://github.com/intel/neural-compressor) * Advanced software optimizations and unique compression-aware runtime (released with NeurIPS 2022's paper [Fast Distilbert on CPUs](https://arxiv.org/abs/2211.07715) and [QuaLA-MiniLM: a Quantized Length Adaptive MiniLM](https://arxiv.org/abs/2210.17114), and NeurIPS 2021's paper [Prune Once for All: Sparse Pre-Trained Language Models](https://arxiv.org/abs/2111.05754)) * Optimized Transformer-based model packages such as [Stable Diffusion](examples/huggingface/pytorch/text-to-image/deployment/stable_diffusion), [GPT-J-6B](examples/huggingface/pytorch/text-generation/deployment), [GPT-NEOX](examples/huggingface/pytorch/language-modeling/quantization#2-validated-model-list), [BLOOM-176B](examples/huggingface/pytorch/language-modeling/inference#BLOOM-176B), [T5](examples/huggingface/pytorch/summarization/quantization#2-validated-model-list), [Flan-T5](examples/huggingface/pytorch/summarization/quantization#2-validated-model-list), and end-to-end workflows such as [SetFit-based text classification](docs/tutorials/pytorch/text-classification/SetFit_model_compression_AGNews.ipynb) and [document level sentiment analysis (DLSA)](workflows/dlsa) * [NeuralChat](intel_extension_for_transformers/neural_chat), a customizable chatbot framework to create your own chatbot within minutes by leveraging a rich set of [plugins](https://github.com/intel/intel-extension-for-transformers/blob/main/intel_extension_for_transformers/neural_chat/docs/advanced_features.md) such as [Knowledge Retrieval](./intel_extension_for_transformers/neural_chat/pipeline/plugins/retrieval/README.md), [Speech Interaction](./intel_extension_for_transformers/neural_chat/pipeline/plugins/audio/README.md), [Query Caching](./intel_extension_for_transformers/neural_chat/pipeline/plugins/caching/README.md), and [Security Guardrail](./intel_extension_for_transformers/neural_chat/pipeline/plugins/security/README.md). This framework supports Intel Gaudi2/CPU/GPU. * [Inference](https://github.com/intel/neural-speed/tree/main) of Large Language Model (LLM) in pure C/C++ with weight-only quantization kernels for Intel CPU and Intel GPU (TBD), supporting [GPT-NEOX](https://github.com/intel/neural-speed/tree/main/neural_speed/models/gptneox), [LLAMA](https://github.com/intel/neural-speed/tree/main/neural_speed/models/llama), [MPT](https://github.com/intel/neural-speed/tree/main/neural_speed/models/mpt), [FALCON](https://github.com/intel/neural-speed/tree/main/neural_speed/models/falcon), [BLOOM-7B](https://github.com/intel/neural-speed/tree/main/neural_speed/models/bloom), [OPT](https://github.com/intel/neural-speed/tree/main/neural_speed/models/opt), [ChatGLM2-6B](https://github.com/intel/neural-speed/tree/main/neural_speed/models/chatglm), [GPT-J-6B](https://github.com/intel/neural-speed/tree/main/neural_speed/models/gptj), and [Dolly-v2-3B](https://github.com/intel/neural-speed/tree/main/neural_speed/models/gptneox). Support AMX, VNNI, AVX512F and AVX2 instruction set. We've boosted the performance of Intel CPUs, with a particular focus on the 4th generation Intel Xeon Scalable processor, codenamed [Sapphire Rapids](https://www.intel.com/content/www/us/en/products/docs/processors/xeon-accelerated/4th-gen-xeon-scalable-processors.html).

The Intel® AI Reference Models repository contains links to pre-trained models, sample scripts, best practices, and tutorials for popular open-source machine learning models optimized by Intel to run on Intel® Xeon® Scalable processors and Intel® Data Center GPUs. The purpose is to quickly replicate complete software environments showcasing the AI capabilities of Intel platforms. It includes optimizations for popular deep learning frameworks like TensorFlow and PyTorch, with additional plugins/extensions for improved performance. The repository is licensed under Apache License Version 2.0.

Clarity AI is a free and open-source AI image upscaler and enhancer, providing an alternative to Magnific. It offers various features such as multi-step upscaling, resemblance fixing, speed improvements, support for custom safetensors checkpoints, anime upscaling, LoRa support, pre-downscaling, and fractality. Users can access the tool through the ClarityAI.co app, ComfyUI manager, API, or by deploying and running locally or in the cloud with cog or A1111 webUI. The tool aims to enhance image quality and resolution using advanced AI algorithms and models.

horde-engine is a wrapper around ComfyUI designed to run inference pipelines visually designed in the ComfyUI GUI. It enables users to design inference pipelines in ComfyUI and then call them programmatically, maintaining compatibility with the existing horde implementation. The library provides features for processing Horde payloads, initializing the library, downloading and validating models, and generating images based on input data. It also includes custom nodes for preprocessing and tasks such as face restoration and QR code generation. The project depends on various open source projects and bundles some dependencies within the library itself. Users can design ComfyUI pipelines, convert them to the backend format, and run them using the run_image_pipeline() method in hordelib.comfy.Comfy(). The project is actively developed and tested using git, tox, and a specific model directory structure.

AI Playground is an open-source project and AI PC starter app designed for AI image creation, image stylizing, and chatbot functionalities on a PC powered by an Intel Arc GPU. It leverages libraries from GitHub and Huggingface, providing users with the ability to create AI-generated content and interact with chatbots. The tool requires specific hardware specifications and offers packaged installers for ease of setup. Users can also develop the project environment, link it to the development environment, and utilize alternative models for different AI tasks.

Complexity is a community-driven, open-source, and free third-party extension that enhances the features of Perplexity.ai. It provides various UI/UX/QoL tweaks, LLM/Image gen model selectors, a customizable theme, and a prompts library. The tool intercepts network traffic to alter the behavior of the host page, offering a solution to the limitations of Perplexity.ai. Users can install Complexity from Chrome Web Store, Mozilla Add-on, or build it from the source code.

The Persian License Plate Recognition (PLPR) system is a state-of-the-art solution designed for detecting and recognizing Persian license plates in images and video streams. Leveraging advanced deep learning models and a user-friendly interface, it ensures reliable performance across different scenarios. The system offers advanced detection using YOLOv5 models, precise recognition of Persian characters, real-time processing capabilities, and a user-friendly GUI. It is well-suited for applications in traffic monitoring, automated vehicle identification, and similar fields. The system's architecture includes modules for resident management, entrance management, and a detailed flowchart explaining the process from system initialization to displaying results in the GUI. Hardware requirements include an Intel Core i5 processor, 8 GB RAM, a dedicated GPU with at least 4 GB VRAM, and an SSD with 20 GB of free space. The system can be installed by cloning the repository and installing required Python packages. Users can customize the video source for processing and run the application to upload and process images or video streams. The system's GUI allows for parameter adjustments to optimize performance, and the Wiki provides in-depth information on the system's architecture and model training.

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.

Pipecat is an open-source framework designed for building generative AI voice bots and multimodal assistants. It provides code building blocks for interacting with AI services, creating low-latency data pipelines, and transporting audio, video, and events over the Internet. Pipecat supports various AI services like speech-to-text, text-to-speech, image generation, and vision models. Users can implement new services and contribute to the framework. Pipecat aims to simplify the development of applications like personal coaches, meeting assistants, customer support bots, and more by providing a complete framework for integrating AI services.

Efficient image processing with text overlays and memory reset.

Web-enabled cannabis and terpene profile analyzer with image recognition

Assists with biological image processing tools.

Specialist in creating and processing visual GIFs

Visual and friendly guide for image processing.

Generate a Structured description in typescript format from the image and generate an image from that description.　and OCR

Expert in analyzing coffee grind particle size distribution using image processing and KDE.

Confirms image uploads without analysis or detail.

Traitement texte, image, vidéo, génération image

Provides expert guidance on signal processing in engineering projects.

Converts color photos to black and white

Specialist in detailed images and facial features

Type “Start” and Get Exact Details on Image Generation and/or Duplication

Expert en description et génération d'images. Faites simplement glisser une image originale et vous obtiendrez un double unique et libre !

Specialist in reverse engineering icons to your specifications. Upload an image of the icons you want - ThePromptfather

Generates PyTorch code from neural network images.

Compresses uploaded images, reducing size with quality retention.

写真から情報をJSONに変換

Optimize and compress your images. Up to 80% in file size reduction.

Professional guide in computer vision, offering clear, insightful advice.