Best AI tools for< Image Cropping >

Imagga is a leading provider of image recognition solutions for developers and businesses. Its API empowers intelligent apps with customizable machine learning technology. Imagga's solutions include tagging, categorization, cropping, color extraction, visual search, facial recognition, custom training, and content moderation. These solutions are used by over 30K startups, developers, and students, and trusted by over 200 business customers in more than 82 countries worldwide.

Colorcinch is an online photo editor and AI cartoonizer that allows users to easily edit and transform their photos into artwork. It offers a wide range of features, including background removal, image cropping and resizing, color adjustment, and the ability to add filters and effects. Colorcinch also has a large library of stock photography, graphics, and icons that users can use to enhance their photos. The platform is available online and offline, making it easy for users to access their projects from anywhere.

Fifi.ai is a managed AI cloud platform that provides users with the infrastructure and tools to deploy and run AI models. The platform is designed to be easy to use, with a focus on plug-and-play functionality. Fifi.ai also offers a range of customization and fine-tuning options, allowing users to tailor the platform to their specific needs. The platform is supported by a team of experts who can provide assistance with onboarding, API integration, and troubleshooting.

Zyng AI is a revolutionary bulk image editing automation tool that leverages sophisticated AI models to automate complex image editing tasks. It allows users to edit thousands of images in minutes, streamlining workflows and empowering creative teams to focus on higher-level visual pursuits. With features like subject-aware cropping, body-aware cropping, social media resizing, e-commerce resizing, portrait retouching, and custom cataloguing, Zyng AI is a versatile tool suitable for various industries such as e-commerce, marketing, advertising, photography, and graphic design. The tool offers different pricing tiers to cater to different project sizes and needs, making it accessible to freelancers, small businesses, and enterprise-level users. Zyng AI aims to transform the way mass photo editing is done, providing users with a seamless and efficient editing experience.

Cloudinary is a cloud-based platform that provides image and video management, optimization, and delivery services. It offers a range of features including image and video storage, transformation, optimization, and delivery, as well as AI-powered features such as generative AI, machine learning, and content-aware AI. Cloudinary's platform is designed to help businesses improve the performance, engagement, and efficiency of their visual content.

Image Colorizer is an AI-powered photo editing tool that allows users to colorize, restore, enhance, retouch, and repair old photos. It uses advanced AI technology to automatically and instantly restore old photos, bringing them back to life. The tool is easy to use and offers a wide range of features to help users improve and restore their old pictures.

Image Editor AI is a web-based application that allows users to edit or create images using artificial intelligence. The application offers a variety of features, including the ability to remove backgrounds, upscale images, and create photorealistic images from scratch. Image Editor AI is easy to use and does not require any prior experience with image editing. The application is available for free and can be used on any device with an internet connection.

Aiarty Image Enhancer is an AI-powered photo and image enhancement software designed to generate more image details and improve clarity. It utilizes advanced AI models to denoise, deblur, and upscale images, delivering ultra-clarity and abundant details for low-quality and low-resolution images. With features like better skin, hair, and texture enhancement, the tool aims to enrich intricate textures in various surfaces. Aiarty Image Enhancer is optimized for AI-generated images, offering up to 8x upscaling and Hollywood-level quality and resolution. The application is suitable for users looking to enhance and restore photos with better fidelity and clarity.

Image AI is a powerful tool that allows you to generate unique and realistic images using artificial intelligence. With Image AI, you can create images of people, places, things, and even abstract concepts. The possibilities are endless! Image AI is perfect for artists, designers, writers, and anyone else who wants to create stunning visuals. With Image AI, you can:

AI Image Translator is an advanced tool that utilizes artificial intelligence to translate images into over 130 languages while preserving the original text formats. It combines 99% AI automation with 1% manual fine-tuning to ensure high-quality translated images. The tool offers features like AI-powered accurate text OCR, seamless background inpainting, accurate text translation, preservation of original text format, and more. Users can easily upload images, get automatic text recognition and translation, fine-tune text formatting, and download the translated images. AI Image Translator is suitable for various tasks like translating product images, screenshots, advertisements, technical diagrams, manuals, and promotion images for global audiences.

Image Caption Generator is a free online tool that uses AI to create compelling captions for images. It offers instant results, requires no login, is completely free, and supports multiple languages. Ideal for social media enthusiasts, bloggers, marketers, and content creators, the tool enhances storytelling through visuals by providing engaging and relevant captions. It helps in enhancing context, boosting engagement, improving accessibility, and SEO optimization. The AI-powered technology ensures accurate and impactful caption generation, making visual content more memorable and effective.

AI Image Detector is an advanced tool that allows users to upload images to determine if they were generated by artificial intelligence or humans. The tool provides a detailed percentage breakdown, showing the likelihood of AI and human creation. It offers a user-friendly interface, quick detection, and image authenticity detection using advanced AI models. Users can verify the origins of their images effortlessly without requiring technical skills.

Image Variations is an AI image generator tool that allows users to create multiple variations from a single image using stable diffusion. Users can easily enter an image URL or upload files to generate copyright-free and unique designs for their projects. The tool utilizes a stable diffusion model to add noise and replicate the style of the original image, providing endless creative inspiration for users.

AI Image to Music Generator is a tool that uses artificial intelligence to convert images into music. It analyzes various visual elements in the image and generates diverse musical compositions in different genres and styles. The tool offers a simple operation interface, fast generation process, and no login requirement, allowing users to freely experiment with music creation. It has applications in media & entertainment, advertising & marketing, personalized gifts, therapeutic purposes, education, and casual creativity.

The AI-Powered Image to Caption Generator is a revolutionary tool that utilizes artificial intelligence to analyze images and generate engaging captions tailored to each image. By recognizing key objects, scenes, and emotional tones in the image, the tool crafts captivating narratives that spark conversation and boost engagement. Users can save time, maintain brand consistency, and stay ahead of social media marketing trends with this innovative AI application.

ChatGPT Image Generator is a revolutionary AI tool that leverages the power of OpenAI's ChatGPT and DALL-E 3 to enable users to create stunning images by describing their vision in natural language. It eliminates the need for artistic skills and offers unmatched accuracy, infinite possibilities, and iterative refinement to bring your ideas to life effortlessly.

The Best AI Image Generator is a free online tool that utilizes artificial intelligence to generate high-quality images. Users can easily create stunning visuals without the need for advanced design skills. The tool offers a user-friendly interface and a wide range of customization options, making it suitable for both beginners and professionals. With its advanced algorithms, the AI Image Generator can produce realistic images in various styles and themes, saving users time and effort in the creative process.

Image Variations is an AI-powered tool that allows you to generate variations of any input image. With just a few clicks, you can create unique and interesting variations of your photos, perfect for social media, marketing, or design projects.

Image To Meme is an online tool that allows users to convert any image into a meme. The tool uses artificial intelligence to generate memes that are both funny and relevant to the image. Image To Meme is easy to use and can be used to create memes for any occasion. The tool is free to use and offers a variety of features, including the ability to customize the text, colors, and alignment of the meme. Image To Meme is a great way to create funny and shareable memes with friends and family.

Image to Caption Tool is an AI application that provides a fast and efficient way to generate captions for images. Users can easily upload or capture an image and receive a suitable caption in seconds, saving time and effort. The tool offers different pricing plans to cater to various user needs and provides 24/7 email support. Currently supporting only English, the tool aims to enhance user experience by continuously adding more languages. With a user-friendly interface, Image to Caption Tool is designed to streamline the caption generation process for social media posts and other content.

TokenPacker is a novel visual projector that compresses visual tokens by 75%∼89% with high efficiency. It adopts a 'coarse-to-fine' scheme to generate condensed visual tokens, achieving comparable or better performance across diverse benchmarks. The tool includes TokenPacker for general use and TokenPacker-HD for high-resolution image understanding. It provides training scripts, checkpoints, and supports various compression ratios and patch numbers.

Supercharge WordPress Content Workflows and Engagement with Artificial Intelligence. Tap into leading cloud-based services like OpenAI, Microsoft Azure AI, Google Gemini and IBM Watson to augment your WordPress-powered websites. Publish content faster while improving SEO performance and increasing audience engagement. ClassifAI integrates Artificial Intelligence and Machine Learning technologies to lighten your workload and eliminate tedious tasks, giving you more time to create original content that matters.

TotalSegmentator is a 3D Slicer extension designed for fully automatic whole body CT segmentation using the 'TotalSegmentator' AI model. The computation time is less than one minute, making it efficient for research purposes. Users can set up GPU acceleration for faster segmentation. The tool provides a user-friendly interface for loading CT images, creating segmentations, and displaying results in 3D. Troubleshooting steps are available for common issues such as failed computation, GPU errors, and inaccurate segmentations. Contributions to the extension are welcome, following 3D Slicer contribution guidelines.

**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.

Stable Diffusion web UI is a web interface for Stable Diffusion, implemented using Gradio library. It provides a user-friendly interface to access the powerful image generation capabilities of Stable Diffusion. With Stable Diffusion web UI, users can easily generate images from text prompts, edit and refine images using inpainting and outpainting, and explore different artistic styles and techniques. The web UI also includes a range of advanced features such as textual inversion, hypernetworks, and embeddings, allowing users to customize and fine-tune the image generation process. Whether you're an artist, designer, or simply curious about the possibilities of AI-generated art, Stable Diffusion web UI is a valuable tool that empowers you to create stunning and unique images.

Stable Diffusion is a text-to-image AI model that can generate realistic images from a given text prompt. It is a powerful tool that can be used for a variety of creative and practical applications, such as generating concept art, creating illustrations, and designing products. Stable Diffusion is also a great tool for learning about AI and machine learning. This repository contains a collection of tutorials and resources on how to use Stable Diffusion.

This repository contains a collection of papers and code for the CVPR 2024 conference. The papers cover a wide range of topics in computer vision, including object detection, image segmentation, image generation, and video analysis. The code provides implementations of the algorithms described in the papers, making it easy for researchers and practitioners to reproduce the results and build upon the work of others. The repository is maintained by a team of researchers at the University of California, Berkeley.

EXIF Photo Blog is a full-stack photo blog application built with Next.js, Vercel, and Postgres. It features built-in authentication, photo upload with EXIF extraction, photo organization by tag, infinite scroll, light/dark mode, automatic OG image generation, a CMD-K menu with photo search, experimental support for AI-generated descriptions, and support for Fujifilm simulations. The application is easy to deploy to Vercel with just a few clicks and can be customized with a variety of environment variables.

Kornia is a differentiable computer vision library for PyTorch. It consists of a set of routines and differentiable modules to solve generic computer vision problems. At its core, the package uses PyTorch as its main backend both for efficiency and to take advantage of the reverse-mode auto-differentiation to define and compute the gradient of complex functions.

Hailo TAPPAS is a set of full application examples that implement pipeline elements and pre-trained AI tasks. It demonstrates Hailo's system integration scenarios on predefined systems, aiming to accelerate time to market, simplify integration with Hailo's runtime SW stack, and provide a starting point for customers to fine-tune their applications. The tool supports both Hailo-15 and Hailo-8, offering various example applications optimized for different common hosts. TAPPAS includes pipelines for single network, two network, and multi-stream processing, as well as high-resolution processing via tiling. It also provides example use case pipelines like License Plate Recognition and Multi-Person Multi-Camera Tracking. The tool is regularly updated with new features, bug fixes, and platform support.

The collection of pre-trained, state-of-the-art AI models. ailia SDK is a self-contained, cross-platform, high-speed inference SDK for AI. The ailia SDK provides a consistent C++ API across Windows, Mac, Linux, iOS, Android, Jetson, and Raspberry Pi platforms. It also supports Unity (C#), Python, Rust, Flutter(Dart) and JNI for efficient AI implementation. The ailia SDK makes extensive use of the GPU through Vulkan and Metal to enable accelerated computing. # Supported models 323 models as of April 8th, 2024

Weeablind is a program that uses modern AI speech synthesis, diarization, language identification, and voice cloning to dub multi-lingual media and anime. It aims to create a pleasant alternative for folks facing accessibility hurdles such as blindness, dyslexia, learning disabilities, or simply those that don't enjoy reading subtitles. The program relies on state-of-the-art technologies such as ffmpeg, pydub, Coqui TTS, speechbrain, and pyannote.audio to analyze and synthesize speech that stays in-line with the source video file. Users have the option of dubbing every subtitle in the video, setting the start and end times, dubbing only foreign-language content, or full-blown multi-speaker dubbing with speaking rate and volume matching.

RTranslator is an almost open-source, free, and offline real-time translation app for Android. It offers Conversation mode for multi-user translations, WalkieTalkie mode for quick conversations, and Text translation mode. It uses Meta's NLLB for translation and OpenAi's Whisper for speech recognition, ensuring privacy. The app is optimized for performance and supports multiple languages. It is ad-free and donation-supported.

LoLLMs Server is a text generation server based on large language models. It provides a Flask-based API for generating text using various pre-trained language models. This server is designed to be easy to install and use, allowing developers to integrate powerful text generation capabilities into their applications.

Recent LLM (Large Language Models)-based CV and multi-modal works.

TTS Generation WebUI is a comprehensive tool that provides a user-friendly interface for text-to-speech and voice cloning tasks. It integrates various AI models such as Bark, MusicGen, AudioGen, Tortoise, RVC, Vocos, Demucs, SeamlessM4T, and MAGNeT. The tool offers one-click installers, Google Colab demo, videos for guidance, and extra voices for Bark. Users can generate audio outputs, manage models, caches, and system space for AI projects. The project is open-source and emphasizes ethical and responsible use of AI technology.

FunClip is an open-source, locally deployable automated video editing tool that utilizes the FunASR Paraformer series models from Alibaba DAMO Academy for speech recognition in videos. Users can select text segments or speakers from the recognition results and click the clip button to obtain the corresponding video segments. FunClip integrates advanced features such as the Paraformer-Large model for accurate Chinese ASR, SeACo-Paraformer for customized hotword recognition, CAM++ speaker recognition model, Gradio interactive interface for easy usage, support for multiple free edits with automatic SRT subtitles generation, and segment-specific SRT subtitles.

Confirms image uploads without analysis or detail.

Creating unique, visually stunning images of baked delights.

I create variations on your image themes.

Just send us an image of a scene from a video work and i will guess the name of the work!

More accurate and easier image generation with self critique & improvement! Try it now

Question-and-answer style image design agent, solving the problem of not knowing how to describe design parameters to GPT.

Highly optimized prompts and top secret refinements to create the perfect image every time...

Efficiently generates images and overlays 'LGTM'

A GPT to create images, and keep track of metadata of the images

A comprehensive guide for finding themed public domain images with a vast resource list.

Expert in Tailored Image Prompts

Geneate an image ➡ Request modifications. This GPT supports generating consistent and continuous images with Dalle. It also offers the ability to restore or integrate photos you upload. ✔️Where to use: Wordpress Blog Post, Youtube thumbnail, AI profile, facebook, X, threads feed, Instagram reels

What do you want to see?

Creates warm, gentle, ethereal images for X posts.

画像中の文章を日本語に翻訳します。（使い方：画像をアップロードするだけ。プロンプトの文章は不要です。）　2023/12/29 より自然な日本語になるように修正

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

Stable Diffusion Prompt Word

Determines if images are AI-generated or real, and learns from feedback.

Analyzes photos, describes them, and generates new images.

Glitches a given image