Best AI tools for< Remove Content >

Made.Porn is an AI porn generator that creates artistic images. Users can select images, delete them, and generate new ones by choosing tags. The tool requires users to be over 18 years old and offers a login/signup feature for faster results and account access. While generating results may take several minutes, users can create a free account to speed up the process. Made.Porn also provides options to change passwords, delete accounts, and offers support for content removal and billing inquiries.

Erasa is an AI-driven content protection tool designed to help creators protect their content from leaks and unauthorized sharing. It offers fast leak detection and removal, continuous monitoring, instant takedowns, and daily reports to ensure content remains secure. Erasa is a creator-friendly solution with a high success rate in removing leaked content globally.

Checkstep is an AI-powered content moderation platform that helps businesses detect and remove harmful content from their platforms. It offers a range of features, including image, text, audio, and video moderation, as well as compliance reporting and moderation tools. Checkstep's platform is designed to be easy to use and integrate, and it can be customized to meet the specific needs of each business.

CopyrightShark is an ultimate content protection service that helps protect your creative works from unauthorized use and ensures you're fairly compensated for your hard work. It uses advanced AI bots to detect leaked content, facilitates the removal of infringed content, and provides deep analysis of social media platforms for leaked copyrighted material. With CopyrightShark, you can focus on creating while they handle the protection and monitoring of your content.

Redflag AI is a leading provider of content and brand protection solutions. Our mission is to help businesses protect their brands and reputations from online threats. We offer a range of services to help businesses identify, remove, and prevent harmful content from appearing online.

Bodyguard.ai is an AI-powered social media monitoring and moderation solution that helps create a safe and dynamic online community. It safeguards brand reputation, protects revenue streams, and ensures safety, inclusivity, and seamless management of online spaces. With advanced AI technology, Bodyguard excels in threat monitoring, community protection, and audience understanding, making it a trusted shield for businesses across various industries.

ZeroGPT is a web-based ChatGPT Plagiarism Checker and AI Content Detecting tool that helps professionals, students, bloggers, and writers to detect and remove AI-generated content. It allows users to analyze text through various algorithms and APIs in AI detection research, providing an AI probability score percentage. The tool is free to use, has no word limit, and does not require an account for access. ZeroGPT is currently available only for web browsers.

Remove-BG.AI is a free online tool that utilizes advanced AI technology to automatically remove backgrounds from images. Users can easily upload images or drag and drop them onto the platform to get a new background-free image in HD quality within seconds. The tool also offers manual editing options for refining the cutout, making the background transparent, or changing it to a different color. With a library of 100+ templates, Remove-BG.AI caters to image editors, designers, marketers, and creators of all levels, enabling them to create stunning visuals and graphics effortlessly.

Remaker is an AI-powered creative content generator that offers a range of tools for image manipulation, face swapping, and AI-generated content creation. With Remaker, users can swap faces in photos and videos, upscale images, generate AI portraits, and create images from text prompts. The platform utilizes generative AI technology, such as Generative Adversarial Networks (GANs), to produce realistic and unique content.

Xound.io is an AI-powered voice cleaner and background noise removal tool designed for content creators, podcasters, YouTubers, TikTokers, and anyone who wants to improve the audio quality of their content. It uses advanced algorithms to remove background noise, enhance vocals, and improve the overall listening experience. Xound.io is easy to use, with a simple drag-and-drop interface and no need for any technical expertise. It also offers a variety of features, including natural pitch correction, AI background noise removal, and high-frequency presence.

AI to Human Text Converter is a free online tool that allows users to convert AI-generated text into human-like content without changing any words. The tool removes the AI signature watermark from the text and keeps the generated text as it is without changing it. Our advanced AI detection bypass tool works on cutting-edge technology to ensure that your content meets the requirements of search engines, optimizing it for SEO and improving its visibility online. Our tool uses advanced algorithms to analyze the content and produce output that mimics how humans type and help to bypass AI detector tools. This means you can quickly convert AI-generated content into human form text that is clear, engaging, and easy to understand.

RemoveBackgroundAI.com is an AI tool that specializes in removing backgrounds from images and videos. Users can easily remove backgrounds from their visuals without the need for manual editing, making the process quick and efficient. The tool supports multiple languages and provides high-quality results. Developed with Django, the tool ensures user privacy and offers a seamless experience for background removal tasks.

Unwatermark.AI is an advanced AI-powered tool designed specifically for removing watermarks from images and videos. It offers a fast, reliable, and user-friendly experience, allowing users to easily remove logos, text, and other unwanted elements from their visuals. The tool supports common image formats like JPG, PNG, WEBP, JPEG, BMP, and even provides a step-by-step guide for watermark removal. With features like high quality output, privacy assurance, multi-terminal support, and fast processing speed, Unwatermark.AI is a valuable solution for content creators, influencers, students, and anyone looking to manage their visual content effectively.

FilmBase is an AI-powered video editing tool that helps you remove silences and filler words from your videos with a single click. It uses AI technology to detect the unwanted parts of your video and allows you to edit them with its transcript editor. FilmBase supports exporting to multiple different video editors, including Final Cut Pro, DaVinci Resolve, and Adobe Premiere Pro.

DeWatermark.AI is an online AI watermark remover tool that helps users easily remove watermarks from images. The tool utilizes powerful visual detection capabilities to automatically detect and remove various types of watermarks, including complex and layered ones. Users can upload images, let the AI scan and remove watermarks automatically, use a manual AI brush for precise results, and download the watermark-free photos. DeWatermark.AI is free to use, retains image quality, and offers flexible editing options. It is compatible with all devices and provides fast and easy watermark removal solutions.

Object Remover is an AI-powered online tool that allows users to remove unwanted objects from their photos quickly and accurately. It uses advanced algorithms to analyze images and erase elements like people, stickers, text, logos, flaws, clutter, and creases with just one click. The tool is user-friendly, provides high-quality results, processes images fast, and offers a preview of the edited image before downloading. Object Remover is suitable for e-commerce product images, social media posts, and any photos that need object removal. Users can enjoy watermark-free editing and benefit from the AI-powered technology for picture-perfect results.

AI Watermark Remover is a free online tool that utilizes artificial intelligence to effortlessly remove watermarks from photos and videos. Users can upload their media files and use the advanced AI technology to erase unwanted watermarks with precision, without the need for complex editing skills. The tool offers features like batch watermark removal, smart removal, and video watermark removal, ensuring high-quality, watermark-free content. With a user-friendly interface and privacy protection, AI Watermark Remover is the go-to solution for individuals and businesses seeking to enhance their visual content.

Removerized is a free AI-powered background remover tool that allows users to easily remove backgrounds from images. Users can upload PNG, JPG, or WEBP files and the tool uses AI technology to accurately remove the background. The tool is user-friendly and provides quick results, making it ideal for individuals looking to edit images without the need for complex software. Removerized is built by @yossthedev and features icons from Solar Icons under the CC BY 4.0 License.

WatermarkRemover is an AI-powered tool that allows users to remove unwanted watermarks from their images. The tool utilizes advanced image processing algorithms to effectively erase watermarks while preserving the original quality of the image. With its user-friendly interface, users can simply upload their image, mark the watermarks, and download the processed image without any hassle. WatermarkRemover is free to use and supports the removal of multiple watermarks simultaneously. It is particularly useful for photographers, graphic designers, and anyone who needs to clean up their images for various purposes.

WatermarkRemover is an AI-powered tool that allows users to remove unwanted watermarks from their images. It utilizes advanced image processing algorithms to effectively erase watermarks while preserving the integrity of the original image. The tool is designed to be user-friendly and accessible, enabling anyone to easily remove watermarks from their photos.

Cringe-guard is a Chrome extension that filters out cringe content from your LinkedIn feed using AI analysis. It detects new posts, sends them for analysis based on predefined 'cringe' criteria, and blurs identified cringe posts. Users can customize post types to see or hide. The tool aims to empower users to have more control over the content they consume.

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

The LLM-Aided OCR Project is an advanced system that enhances Optical Character Recognition (OCR) output by leveraging natural language processing techniques and large language models. It offers features like PDF to image conversion, OCR using Tesseract, error correction using LLMs, smart text chunking, markdown formatting, duplicate content removal, quality assessment, support for local and cloud-based LLMs, asynchronous processing, detailed logging, and GPU acceleration. The project provides detailed technical overview, text processing pipeline, LLM integration, token management, quality assessment, logging, configuration, and customization. It requires Python 3.12+, Tesseract OCR engine, PDF2Image library, PyTesseract, and optional OpenAI or Anthropic API support for cloud-based LLMs. The installation process involves setting up the project, installing dependencies, and configuring environment variables. Users can place a PDF file in the project directory, update input file path, and run the script to generate post-processed text. The project optimizes processing with concurrent processing, context preservation, and adaptive token management. Configuration settings include choosing between local or API-based LLMs, selecting API provider, specifying models, and setting context size for local LLMs. Output files include raw OCR output and LLM-corrected text. Limitations include performance dependency on LLM quality and time-consuming processing for large documents.

AI Chunking is a powerful Python library for semantic document chunking and enrichment using AI. It provides intelligent document chunking capabilities with various strategies to split text while preserving semantic meaning, particularly useful for processing markdown documentation. The library offers multiple chunking strategies such as Recursive Text Splitting, Section-based Semantic Chunking, and Base Chunking. Users can configure chunk sizes, overlap, and support various text formats. The tool is easy to extend with custom chunking strategies, making it versatile for different document processing needs.

ESPHome yaml files for AirGradient devices to maintain the research and accuracy of AirGradient sensors, while also gaining the benefits of ESPHome/HomeAssistant for easy to use switches, buttons, configurations, and dashboards. Maintains the ability to also send data to the AirGradient Dashboard, which can also be disabled/removed to keep all data local.

Al-Photoshop-2024 is a cutting-edge tool that integrates generative AI features into Adobe Photoshop, allowing users to easily create and manipulate images with advanced AI capabilities. Users can quickly explore ideas, change backgrounds, expand images, create new content from scratch, and remove/replace elements seamlessly. The tool empowers users to unleash their creativity and experiment with various image editing tasks effortlessly.

xGitGuard is an AI-based system developed by Comcast Cybersecurity Research and Development team to detect secrets (e.g., API tokens, usernames, passwords) exposed on GitHub repositories. It uses advanced Natural Language Processing to detect secrets at scale and with appropriate velocity. The tool provides workflows for detecting credentials and keys/tokens in both enterprise and public GitHub accounts. Users can set up search patterns, configure API access, run detections with or without ML filters, and train ML models for improved detection accuracy. xGitGuard also supports custom keyword scans for targeted organizations or repositories. The tool is licensed under Apache 2.0.

Video-MME is the first-ever comprehensive evaluation benchmark of Multi-modal Large Language Models (MLLMs) in Video Analysis. It assesses the capabilities of MLLMs in processing video data, covering a wide range of visual domains, temporal durations, and data modalities. The dataset comprises 900 videos with 256 hours and 2,700 human-annotated question-answer pairs. It distinguishes itself through features like duration variety, diversity in video types, breadth in data modalities, and quality in annotations.

Advanced RAG Techniques is a comprehensive collection of cutting-edge Retrieval-Augmented Generation (RAG) tutorials aimed at enhancing the accuracy, efficiency, and contextual richness of RAG systems. The repository serves as a hub for state-of-the-art RAG enhancements, comprehensive documentation, practical implementation guidelines, and regular updates with the latest advancements. It covers a wide range of techniques from foundational RAG methods to advanced retrieval methods, iterative and adaptive techniques, evaluation processes, explainability and transparency features, and advanced architectures integrating knowledge graphs and recursive processing.

VideoKit is a full-featured user-generated content solution for Unity Engine, enabling video recording, camera streaming, microphone streaming, social sharing, and conversational interfaces. It is cross-platform, with C# source code available for inspection. Users can share media, save to camera roll, pick from camera roll, stream camera preview, record videos, remove background, caption audio, and convert text commands. VideoKit requires Unity 2022.3+ and supports Android, iOS, macOS, Windows, and WebGL platforms.

AIOStreams is a versatile tool that combines streams from various addons into one platform, offering extensive customization options. Users can change result formats, filter results by various criteria, remove duplicates, prioritize services, sort results, specify size limits, and more. The tool scrapes results from selected addons, applies user configurations, and presents the results in a unified manner. It simplifies the process of finding and accessing desired content from multiple sources, enhancing user experience and efficiency.

This simple package can be used to fix an invalid json string. To know all cases in which this package will work, check out the unit test. Inspired by https://github.com/josdejong/jsonrepair Motivation Some LLMs are a bit iffy when it comes to returning well formed JSON data, sometimes they skip a parentheses and sometimes they add some words in it, because that's what an LLM does. Luckily, the mistakes LLMs make are simple enough to be fixed without destroying the content. I searched for a lightweight python package that was able to reliably fix this problem but couldn't find any. So I wrote one How to use from json_repair import repair_json good_json_string = repair_json(bad_json_string) # If the string was super broken this will return an empty string You can use this library to completely replace `json.loads()`: import json_repair decoded_object = json_repair.loads(json_string) or just import json_repair decoded_object = json_repair.repair_json(json_string, return_objects=True) Read json from a file or file descriptor JSON repair provides also a drop-in replacement for `json.load()`: import json_repair try: file_descriptor = open(fname, 'rb') except OSError: ... with file_descriptor: decoded_object = json_repair.load(file_descriptor) and another method to read from a file: import json_repair try: decoded_object = json_repair.from_file(json_file) except OSError: ... except IOError: ... Keep in mind that the library will not catch any IO-related exception and those will need to be managed by you Performance considerations If you find this library too slow because is using `json.loads()` you can skip that by passing `skip_json_loads=True` to `repair_json`. Like: from json_repair import repair_json good_json_string = repair_json(bad_json_string, skip_json_loads=True) I made a choice of not using any fast json library to avoid having any external dependency, so that anybody can use it regardless of their stack. Some rules of thumb to use: - Setting `return_objects=True` will always be faster because the parser returns an object already and it doesn't have serialize that object to JSON - `skip_json_loads` is faster only if you 100% know that the string is not a valid JSON - If you are having issues with escaping pass the string as **raw** string like: `r"string with escaping\"" Adding to requirements Please pin this library only on the major version! We use TDD and strict semantic versioning, there will be frequent updates and no breaking changes in minor and patch versions. To ensure that you only pin the major version of this library in your `requirements.txt`, specify the package name followed by the major version and a wildcard for minor and patch versions. For example: json_repair==0.* In this example, any version that starts with `0.` will be acceptable, allowing for updates on minor and patch versions. How it works This module will parse the JSON file following the BNF definition: ::= | ::= | | ; Where: ; is a valid real number expressed in one of a number of given formats ; is a string of valid characters enclosed in quotes ; is one of the literal strings 'true', 'false', or 'null' (unquoted) ::=