Best AI tools for< Post-process Images >

AutoRetouch by Meero is an AI-powered image editing solution designed to streamline the post-production process for fashion photography. It utilizes advanced AI algorithms to automate tedious tasks, allowing users to enhance their visuals with unparalleled efficiency. With a focus on meeting brand requirements, AutoRetouch offers a comprehensive suite of tools and features to optimize image quality and consistency.

SolidGrids is an AI-powered image enhancement tool designed specifically for e-commerce businesses. It automates the image post-production process, saving time and resources. With SolidGrids, you can easily remove backgrounds, enhance product images, and create consistent branding across your e-commerce site. The platform offers seamless cloud integrations and is cost-effective compared to traditional methods.

MimicBrush is an advanced AI-powered online image editing tool that revolutionizes the editing process by seamlessly integrating reference image elements into edits. With its imitative editing technique, MimicBrush offers high-quality, realistic image modifications with unparalleled precision and versatility. The platform allows users to make simple image edits, automated processing, localized modifications, texture transfers, and post-processing refinements effortlessly. Whether you're a beginner or a professional, MimicBrush provides a user-friendly interface and powerful features for all your image editing needs.

AI BlogWiz is an AI application designed to assist users in generating high-quality blog content efficiently. It offers a range of AI-powered tools such as Full Blog Generator, AI Image Creation, SEO Tools, and Trained Chat Bots. Users can create compelling blog articles, generate SEO keywords, and enhance their content with AI assistance. AI BlogWiz aims to streamline the content creation process and help users attract more traffic to their websites through AI-driven strategies.

Keytalk AI is a company that specializes in prompt engineering, which is the process of creating prompts that can be used to generate text, images, and other types of content using artificial intelligence (AI) models. Keytalk AI's mission is to make AI more accessible and user-friendly by providing tools and resources that make it easy for people to create and use AI-generated content. The company's flagship product is Keytalk Prompts, a library of pre-written prompts that can be used to generate content on a variety of topics. Keytalk AI also offers a range of other services, including consulting, training, and support.

Colourlab.ai is an AI application that offers advanced color grading, film emulation, and look design services for professionals in the film and content creation industry. The platform provides state-of-the-art technology combined with intuitive design to simplify the color grading process and unleash creativity. With features like Auto Balance, Neural Looks, and a vast library of LUTs, Colourlab.ai empowers colorists, editors, filmmakers, and content creators to enhance their visual storytelling effortlessly.

Sebora is an AI-powered content generation tool that helps users create engaging and SEO-friendly blog posts, articles, and other written content. It offers a range of features to simplify the content creation process, including keyword generation, article drafting, image selection, scheduling, and publishing. Sebora integrates with WordPress, making it easy for users to publish their content directly to their website. It is suitable for a variety of users, including content marketers, small business owners, and digital marketing agencies.

Buzzli is an AI-powered tool designed to help LinkedIn users enhance their personal branding and grow their audience. It offers a comprehensive suite of tools for idea generation, post creation, post improvement, scheduling, and more. With features like personalized posts, AI-generated images, and access to top industry posts, Buzzli aims to streamline the process of creating engaging content on LinkedIn. Trusted by over 1000 users, Buzzli is a valuable resource for professionals looking to elevate their LinkedIn game.

X Beast is an AI-powered tool designed for automatic post generation and scheduling. It utilizes advanced algorithms to create engaging content for social media platforms. Users can save time and effort by letting X Beast handle the content creation process efficiently. With its user-friendly interface, X Beast simplifies social media management and helps users maintain a consistent online presence.

**Nubrain.ai** is a comprehensive AI toolkit that offers a wide range of features to streamline content creation and enhance productivity. With its user-friendly interface and powerful AI capabilities, Nubrain.ai empowers users to generate unique and engaging content, create stunning visuals, transcribe speech, synthesize voiceovers, and write code effortlessly. The platform's advanced features, such as custom template creation, multilingual support, and seamless payment options, make it an ideal solution for individuals, teams, and businesses seeking to optimize their content creation process.

Coverposts is an AI-powered tool that helps users transform blog articles into engaging social media posts effortlessly. By automating the process of creating visually appealing content with illustrations, Coverposts saves time and money for businesses, content creators, marketing agencies, freelancers, news outlets, e-commerce retailers, and non-profit organizations. The tool offers different pricing packages to cater to various needs, from basic social media post creation to automated content distribution using AI systems. With features like personalized style customization, image generation, and seamless sharing on major social platforms, Coverposts simplifies content marketing and boosts social media presence.

Bertha AI is an AI writing solution designed for WordPress and Chrome users. It offers a range of features such as AI copywriting, image generation, social media post creation, SEO optimization, and long-form article writing. Bertha AI aims to assist users in creating compelling content quickly and efficiently, making content generation a seamless and enjoyable process.

Clevopy.ai is an advanced AI writing tool that helps users overcome writer's block and create compelling, impactful content. It offers a range of features, including AI writing, AI chat, text to image generation, YouTube channel name generation, Google Drive integration, PDF export, sentence expansion, blog post conclusion generation, company bio generation, Google My Business post and tweet writing, grammar correction, video topic ideas, creative story generation, product description generation, essay writing, song lyrics generation, press release generation, startup idea generation, poem writing, brochure generation, math problem solving, slogan generation, landing page headlines generation, Pinterest pin generation, and review writing. Clevopy.ai is designed to help users streamline their writing process, save time and money, and create high-quality content that resonates with their audience.

Peech is a powerful platform designed for scale that allows users to automatically obtain a limitless supply of branded videos from their content with a one-click, fully AI-powered post-production process. It offers various features such as content analysis, transcription and translation, automated custom branding, text-to-video editor, frame cropper, and clip generator. Peech empowers media companies with a tailored solution to conveniently organize and categorize large volumes of video footage, maintain brand consistency, reach global audiences, effortlessly edit videos, and automatically adjust videos to various aspect ratios for optimized design across platforms.

Postli is a powerful AI-driven tool designed to help users create engaging and high-quality posts for LinkedIn. With thousands of templates and advanced features, Postli simplifies the post creation process, enabling users to go viral on the platform. From generating posts using styles from top LinkedIn creators to enhancing and customizing posts, Postli offers a comprehensive solution for individuals and businesses looking to boost their presence on LinkedIn. In addition to post creation, Postli also provides various other LinkedIn tools and resources to support users in their content planning and growth strategies.

Recooty is a modern applicant tracking system designed for growing companies to streamline their recruiting process. It offers features such as applicant tracking, job posting, candidate tracking, interview scheduling, talent pool management, employer branding, and HR tools. With Recooty, companies can attract, engage, and hire their next teammates with ease. The platform also provides resources like job descriptions, templates, interview questions, and AI tools to enhance the recruitment experience.

HireBeat is an AI-powered Applicant Tracking System designed for small businesses and startups to streamline their hiring process. It offers a clutter-free hiring platform that allows users to post jobs, source talent, screen resumes, conduct video interviews, and collaborate with team members efficiently. With optimized hiring pipelines and AI resume screening capabilities, HireBeat helps businesses attract top talent and make faster hiring decisions.

SILX AI is a revolutionary hiring platform that leverages artificial intelligence to streamline the recruitment process. It aims to eliminate unqualified candidates and overqualified employers, making hiring fast, efficient, and cost-effective. With SILX AI, businesses can post job openings, screen candidates, and make informed hiring decisions with ease.

Writer.md is an AI-powered tool designed to help users create SEO-optimized blog post drafts effortlessly. By leveraging artificial intelligence technology, the platform assists in generating high-quality content by suggesting relevant keywords and structuring the content for better search engine visibility. Users can easily create drafts in multiple languages, including English, German, Dutch, Spanish, and Italian. The tool aims to streamline the content creation process and enhance the overall quality of blog posts.

MTestHub is an all-in-one recruiting and assessment automation solution that streamlines the hiring process for organizations. It harnesses AI technology to identify top talent, provides an authentic online examination platform, and offers features such as auto screening, shortlisting, efficient interviews, and post-shortlisting actions. The platform aims to enhance recruitment efficiency, improve candidate experience, and reduce administrative burdens through automation and data-driven insights.

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.

This project is a c++ version of the AI reasoning library that supports the reasoning of tensorrt models. It provides accelerated deployment cases of deep learning CV popular models and supports dynamic-batch image processing, inference, decode, and NMS. The project has been updated with various models and provides tutorials for model exports. It also includes a producer-consumer inference model for specific tasks. The project directory includes implementations for model inference applications, backend reasoning classes, post-processing, pre-processing, and target detection and tracking. Speed tests have been conducted on various models, and onnx downloads are available for different models.

A curated list of Generative AI projects, tools, artworks, and models

**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.

LLMImageIndexer is an intelligent image processing and indexing tool that leverages local AI to generate comprehensive metadata for your image collection. It uses advanced language models to analyze images and generate captions and keyword metadata. The tool offers features like intelligent image analysis, metadata enhancement, local processing, multi-format support, user-friendly GUI, GPU acceleration, cross-platform support, stop and start capability, and keyword post-processing. It operates directly on image file metadata, allowing users to manage files, add new files, and run the tool multiple times without reprocessing previously keyworded files. Installation instructions are provided for Windows, macOS, and Linux platforms, along with usage guidelines and configuration options.

EvalPlus is a rigorous evaluation framework for LLM4Code, providing HumanEval+ and MBPP+ tests to evaluate large language models on code generation tasks. It offers precise evaluation and ranking, coding rigorousness analysis, and pre-generated code samples. Users can use EvalPlus to generate code solutions, post-process code, and evaluate code quality. The tool includes tools for code generation and test input generation using various backends.

Swift OCR is a powerful tool for extracting text from PDF files using OpenAI's GPT-4 Turbo with Vision model. It offers flexible input options, advanced OCR processing, performance optimizations, structured output, robust error handling, and scalable architecture. The tool ensures accurate text extraction, resilience against failures, and efficient handling of multiple requests.

Swarms provides simple, reliable, and agile tools to create your own Swarm tailored to your specific needs. Currently, Swarms is being used in production by RBC, John Deere, and many AI startups.

Pax is a framework to configure and run machine learning experiments on top of Jax.

MediaPipe-rs is a Rust library designed for MediaPipe tasks on WasmEdge WASI-NN. It offers easy-to-use low-code APIs similar to mediapipe-python, with low overhead and flexibility for custom media input. The library supports various tasks like object detection, image classification, gesture recognition, and more, including TfLite models, TF Hub models, and custom models. Users can create task instances, run sessions for pre-processing, inference, and post-processing, and speed up processing by reusing sessions. The library also provides support for audio tasks using audio data from symphonia, ffmpeg, or raw audio. Users can choose between CPU, GPU, or TPU devices for processing.

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.

Screen-pipe is a Rust + WASM tool that allows users to turn their screen into actions using Large Language Models (LLMs). It enables users to record their screen 24/7, extract text from frames, and process text and images for tasks like analyzing sales conversations. The tool is still experimental and aims to simplify the process of recording screens, extracting text, and integrating with various APIs for tasks such as filling CRM data based on screen activities. The project is open-source and welcomes contributions to enhance its functionalities and usability.

This solution accelerator is built on Azure Cognitive Search Service and Azure OpenAI Service to synthesize post-contact center transcripts for intelligent contact center scenarios. It converts raw transcripts into customer call summaries to extract insights around product and service performance. Key features include conversation summarization, key phrase extraction, speech-to-text transcription, sensitive information extraction, sentiment analysis, and opinion mining. The tool enables data professionals to quickly analyze call logs for improvement in contact center operations.

MAVIS (Math Visual Intelligent System) is an AI-driven application that allows users to analyze visual data such as images and generate interactive answers based on them. It can perform complex mathematical calculations, solve programming tasks, and create professional graphics. MAVIS supports Python for coding and frameworks like Matplotlib, Plotly, Seaborn, Altair, NumPy, Math, SymPy, and Pandas. It is designed to make projects more efficient and professional.

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.

OP Vault is a tool that leverages the OP Stack (OpenAI + Pinecone Vector Database) to allow users to upload custom knowledgebase files and ask questions about their contents. It provides a user-friendly Golang server and React frontend for querying human-readable content like books and documents, making it valuable for knowledge extraction and question-answering. Users can upload entire libraries, receive specific answers with file and section references, and explore the power of the OP Stack in a practical interface.

MFLUX is a line-by-line port of the FLUX implementation in the Huggingface Diffusers library to Apple MLX. It aims to run powerful FLUX models from Black Forest Labs locally on Mac machines. The codebase is minimal and explicit, prioritizing readability over generality and performance. Models are implemented from scratch in MLX, with tokenizers from the Huggingface Transformers library. Dependencies include Numpy and Pillow for image post-processing. Installation can be done using `uv tool` or classic virtual environment setup. Command-line arguments allow for image generation with specified models, prompts, and optional parameters. Quantization options for speed and memory reduction are available. LoRA adapters can be loaded for fine-tuning image generation. Controlnet support provides more control over image generation with reference images. Current limitations include generating images one by one, lack of support for negative prompts, and some LoRA adapters not working.

A virtual coach for digital photography techniques and post-processing.

Streamline your content creation with our free AI article outline generator. Transform your brainstorming, research, and writing process in seconds!

A friendly GPT that helps generate content on social media that's engaging with your followers.

Optimizes project outcomes through comprehensive post-project evaluations.

Engage in meaningful discussions on LinkedIn by effortlessly crafting comments for articles and swiftly sharing them on the platform.

Expert on postal services, providing information on mail, rates, and history.

Craft two survivors and witness their struggle in this unforgiving apocalyptic simulation. 🔥🌍💀 #NoPlayerChoices (v.1.4.0)

Get the key messages, takeaways, contrarian view from a post (link, paste text)

I create and research for top-notch LinkedIn posts

Creates 2 images for posts (1:1 & 16:9)

I write engaging and informative blog posts.

Crafts compelling X post hooks using the Disrupt formula

Etiquette expert offering advice on manners and proper conduct, in the style of Emily Post.

Expert in creating concise, SEO-friendly meta tags for blog posts.

Efficiently crafts detailed blog posts

Engaging Blog Post Idea and Timing Advisor

Rewriting Facebook posts for power and persuasion, with storytelling and CTAs.

Vibrant and visually appealing social media posts.

Sarcastic, combative, always finds the negatives.

I find guest post websites for you.