Best AI tools for< Generate Fake Data >

AI Placeholder is a free AI-Powered Fake or Dummy Data API for testing and prototyping. It utilizes OpenAI API to generate dummy content. Users can directly use the hosted version or self-host it. The application allows users to generate fake or dummy content using OpenAI's GPT-3.5-Turbo Model API. Users can specify the data they want to mock, retrieve specific data, and generate data with rules specified. The tool is useful for testing, prototyping, and generating various types of data for different purposes.

Bibit AI is a real estate marketing AI designed to enhance the efficiency and effectiveness of real estate marketing and sales. It can help create listings, descriptions, and property content, and offers a host of other features. Bibit AI is the world's first AI for Real Estate. We are transforming the real estate industry by boosting efficiency and simplifying tasks like listing creation and content generation.

This Person Does Not Exist is a website that generates random, realistic faces of people who do not exist. The website uses a neural network called StyleGAN, developed by Nvidia, to create these faces. StyleGAN is a generative adversarial network (GAN), which is a type of machine learning algorithm that can generate new data from a given dataset. In the case of StyleGAN, the dataset is a collection of images of human faces. The GAN is trained on this dataset, and it learns to generate new faces that are realistic and indistinguishable from real faces.

TestimonialEasy is an AI-powered tool designed to help users easily generate fake testimonials for websites. With the power of GPT-4, users can quickly create convincing testimonials by simply entering a website URL. The tool is built with care and attention to detail by Kadirhan, providing a seamless experience for users looking to enhance their website's credibility.

TweetyAI is an AI-powered tool that helps you generate tweets on any topic. With TweetyAI, you can quickly and easily create high-quality tweets that are sure to engage your audience. TweetyAI is the perfect tool for businesses, marketers, and anyone who wants to improve their social media presence.

Real Fake is an AI-powered headshot generator that allows users to create professional-looking headshots from their selfies. The platform uses advanced algorithms to automatically detect faces and generate a variety of headshots in different styles and backgrounds. Real Fake is designed to be affordable, convenient, and easy to use, making it a great option for individuals and businesses looking to update their professional images.

FakeYou is a free online tool that allows you to create realistic text-to-speech audio files. With FakeYou, you can choose from a variety of voices, languages, and accents to create custom audio files that sound like real people. FakeYou is perfect for creating voiceovers for videos, presentations, or other projects.

The Subtitle Screenshot Generator is an AI tool that enables users to easily create realistic and customizable subtitle images for various purposes such as creating memes, illustrating points in presentations, or generating content for social media. Users can personalize the text, background, and style to fit their needs, making it a versatile and engaging tool for content creation.

The website is a collection of various AI tools and applications designed to enhance productivity, creativity, and entertainment. It offers a wide range of tools, from AI-powered games and language learning apps to productivity tools and creative solutions. Users can find tools for generating content, improving pronunciation, creating fake images, and even exploring the depths of their subconscious mind. With a focus on leveraging AI technology for different purposes, the website aims to provide innovative solutions for everyday tasks and challenges.

Name Generator is an AI Name Maker based on OpenAI ChatGPT that quickly generates various names like boy names, girl names, dog names, nicknames, fake names, country names, YouTube names, and more. It provides unique names along with their meanings, origins, and historical figures. With customizable options, users can create fun, personalized names for different scenarios.

BladeRunner is a browser plug-in that highlights AI-generated text directly on the page. It helps users detect AI-generated content in various contexts such as social media, news, education, e-commerce, and government communications. In the age of AI, where distinguishing between human and AI-generated content is challenging, BladeRunner aims to assist users in identifying AI impostors and maintaining a higher standard of accuracy in digital interactions.

The GPT-2 Output Detector is an online tool that helps users identify whether a given text was generated by the GPT-2 language model. The tool is based on the RoBERTa implementation of Transformers, a popular natural language processing library. Users can enter text into the text box, and the tool will predict the probability that the text was generated by GPT-2. The results start to get reliable after around 50 tokens.

Deepfake Detector is an AI tool designed to identify deepfake audio and video content with 92% model accuracy. It helps individuals and businesses protect themselves from deepfake scams by analyzing voice messages and calls for authenticity. The tool offers probabilities as a guide for further investigation, ensuring credibility in media reporting and legal proceedings. With features like AI Noise Remover and easy API integration, Deepfake Detector is a market leader in detecting deepfakes and preventing financial losses.

AI Voice Detector is an advanced tool designed to protect individuals and businesses from audio manipulation and AI voice scams. It offers a high model accuracy of 92% in identifying whether an audio is real or AI-generated. The tool can be used to detect AI voices in various platforms like YouTube, WhatsApp, TikTok, Zoom, and Google Meet. With features such as multilanguage support, background noise removal, and browser extension integration, AI Voice Detector stands out as a reliable solution for authenticating audio files.

Genaios is an AI-powered web application and Chrome plugin that helps users detect and verify the authenticity of online information, particularly in distinguishing between real content and AI-generated texts. With the power of AI, Genaios enables users to fact-check documents, validate sources, and identify AI-generated texts in multiple languages. The application aims to combat fake news and information overload on the internet, providing a reliable solution for users to trust the media again.

Generate is an experiment to generate data from LLM. It is now deprecated.

Self-Introduction Generate AI is an innovative platform designed to assist individuals and businesses in crafting compelling and effective self-introductions. It leverages advanced AI technology to understand context and generate personalized content. The platform can analyze and understand various types of input, including text and context, to generate tailored self-introductions that are engaging and informative, enhancing personal and professional branding. With features like quick response times, quality assurance, and specialized service for self-introductions, it is an ideal tool for job applications, networking events, and personal branding initiatives.

Nextatlas Generate Suite is a cutting-edge AI-powered trend forecasting service that revolutionizes market research by offering profound insights into market trends and consumer behavior. It provides a full array of specialized assistants to jumpstart team's work, including scouting innovation, planning multiple scenarios, discovering trending ingredients, and advising on brand strategy. The suite features GenAI Agents for efficient workflows, a Chat for advanced insights, Persona Generator for persona development, Ingredient Discovery Agent for food innovation, Innovation Tracker for tracking tech advancements, and Sentiment Pulse Agent for real-time insights on public opinion. It supports professionals in various roles like freelancers, brand strategists, trend researchers, innovation consultants, and insights strategists.

ZMO.AI is a free AI image generator tool that allows users to create stunning AI art, images, anime, and realistic photos from text or images with a simple click of a button. The tool offers a full suite of powerful features to generate, remove, expand, or edit images like a pro using AI magic. With ZMO.AI, users can effortlessly generate anime and manga characters, flawless portrait photos, and realistic backgrounds. The application is trusted by over 1,000,000 users worldwide for its high-quality AI image generation capabilities.

ZMO.AI is a free AI Image Generator that allows users to create stunning AI art, images, anime, and realistic photos from text or images with a simple click of a button. The platform offers a full suite of powerful AI image generation tools, including AI Photo Editor, AI Anime Generator, AI Background Changer, AI Video Generator, and more. Trusted by over 1,000,000 users worldwide, ZMO.AI provides studio-quality photo editing capabilities, background removal, image generation, and editing features powered by AI magic. Users can easily generate high-quality anime, manga characters, portraits, and images with versatile styles using the AI tools available on the platform.

Ollama4j is a Java library that serves as a wrapper or binding for the Ollama server. It allows users to communicate with the Ollama server and manage models for various deployment scenarios. The library provides APIs for interacting with Ollama, generating fake data, testing UI interactions, translating messages, and building web UIs. Users can easily integrate Ollama4j into their Java projects to leverage the functionalities offered by the Ollama server.

GuideLLM is a powerful tool for evaluating and optimizing the deployment of large language models (LLMs). By simulating real-world inference workloads, GuideLLM helps users gauge the performance, resource needs, and cost implications of deploying LLMs on various hardware configurations. This approach ensures efficient, scalable, and cost-effective LLM inference serving while maintaining high service quality. Key features include performance evaluation, resource optimization, cost estimation, and scalability testing.

Ollama4j is a Java library that serves as a wrapper or binding for the Ollama server. It facilitates communication with the Ollama server and provides models for deployment. The tool requires Java 11 or higher and can be installed locally or via Docker. Users can integrate Ollama4j into Maven projects by adding the specified dependency. The tool offers API specifications and supports various development tasks such as building, running unit tests, and integration tests. Releases are automated through GitHub Actions CI workflow. Areas of improvement include adhering to Java naming conventions, updating deprecated code, implementing logging, using lombok, and enhancing request body creation. Contributions to the project are encouraged, whether reporting bugs, suggesting enhancements, or contributing code.

Guardrails is a Python framework that helps build reliable AI applications by performing two key functions: 1. Guardrails runs Input/Output Guards in your application that detect, quantify and mitigate the presence of specific types of risks. To look at the full suite of risks, check out Guardrails Hub. 2. Guardrails help you generate structured data from LLMs.

Phidata is a framework for building AI Assistants with memory, knowledge, and tools. It enables LLMs to have long-term conversations by storing chat history in a database, provides them with business context by storing information in a vector database, and enables them to take actions like pulling data from an API, sending emails, or querying a database. Memory and knowledge make LLMs smarter, while tools make them autonomous.

A chat interface using open source models, eg OpenAssistant or Llama. It is a SvelteKit app and it powers the HuggingChat app on hf.co/chat.

LLM-for-misinformation-research is a curated paper list of misinformation research using large language models (LLMs). The repository covers methods for detection and verification, tools for fact-checking complex claims, decision-making and explanation, claim matching, post-hoc explanation generation, and other tasks related to combating misinformation. It includes papers on fake news detection, rumor detection, fact verification, and more, showcasing the application of LLMs in various aspects of misinformation research.

Gemini PHP is a PHP API client for interacting with the Gemini AI API. It allows users to generate content, chat, count tokens, configure models, embed resources, list models, get model information, troubleshoot timeouts, and test API responses. The client supports various features such as text-only input, text-and-image input, multi-turn conversations, streaming content generation, token counting, model configuration, and embedding techniques. Users can interact with Gemini's API to perform tasks related to natural language generation and text analysis.

LangChain Decorators is a layer on top of LangChain that provides syntactic sugar for writing custom langchain prompts and chains. It offers a more pythonic way of writing code, multiline prompts without breaking code flow, IDE support for hinting and type checking, leveraging LangChain ecosystem, support for optional parameters, and sharing parameters between prompts. It simplifies streaming, automatic LLM selection, defining custom settings, debugging, and passing memory, callback, stop, etc. It also provides functions provider, dynamic function schemas, binding prompts to objects, defining custom settings, and debugging options. The project aims to enhance the LangChain library by making it easier to use and more efficient for writing custom prompts and chains.

UglyFeed is a simple Python application designed to retrieve, aggregate, filter, rewrite, evaluate, and serve content (RSS feeds) written by a large language model. It provides features such as retrieving RSS feeds, aggregating feed items by similarity, rewriting content using various APIs, saving rewritten feeds to JSON files, converting JSON to valid RSS feed, serving XML feed via an HTTP server, deploying XML feed to GitHub or GitLab, and evaluating generated content. The tool can be used for smart content curation, dynamic blog generation, interactive educational tools, personalized reading experiences, brand monitoring, multilingual content delivery, enhanced RSS feeds, creative writing assistance, content repurposing, and fake news detection datasets. It is modular, extensible, and aims to empower users in content manipulation and delivery.

LitData is a tool designed for blazingly fast, distributed streaming of training data from any cloud storage. It allows users to transform and optimize data in cloud storage environments efficiently and intuitively, supporting various data types like images, text, video, audio, geo-spatial, and multimodal data. LitData integrates smoothly with frameworks such as LitGPT and PyTorch, enabling seamless streaming of data to multiple machines. Key features include multi-GPU/multi-node support, easy data mixing, pause & resume functionality, support for profiling, memory footprint reduction, cache size configuration, and on-prem optimizations. The tool also provides benchmarks for measuring streaming speed and conversion efficiency, along with runnable templates for different data types. LitData enables infinite cloud data processing by utilizing the Lightning.ai platform to scale data processing with optimized machines.

AI Audio Datasets List (AI-ADL) is a comprehensive collection of datasets consisting of speech, music, and sound effects, used for Generative AI, AIGC, AI model training, and audio applications. It includes datasets for speech recognition, speech synthesis, music information retrieval, music generation, audio processing, sound synthesis, and more. The repository provides a curated list of diverse datasets suitable for various AI audio tasks.

The 'llm' package for Emacs provides an interface for interacting with Large Language Models (LLMs). It abstracts functionality to a higher level, concealing API variations and ensuring compatibility with various LLMs. Users can set up providers like OpenAI, Gemini, Vertex, Claude, Ollama, GPT4All, and a fake client for testing. The package allows for chat interactions, embeddings, token counting, and function calling. It also offers advanced prompt creation and logging capabilities. Users can handle conversations, create prompts with placeholders, and contribute by creating providers.

A massive list including a huge amount of products and services that are completely free! ⭐ Star on GitHub • 🤝 Contribute # Table of Contents * APIs, Data & ML * Artificial Intelligence * BaaS * Code Editors * Code Generation * DNS * Databases * Design & UI * Domains * Email * Font * For Students * Forms * Linux Distributions * Messaging & Streaming * PaaS * Payments & Billing * SSL

Awesome-Segment-Anything is a powerful tool for segmenting and extracting information from various types of data. It provides a user-friendly interface to easily define segmentation rules and apply them to text, images, and other data formats. The tool supports both supervised and unsupervised segmentation methods, allowing users to customize the segmentation process based on their specific needs. With its versatile functionality and intuitive design, Awesome-Segment-Anything is ideal for data analysts, researchers, content creators, and anyone looking to efficiently extract valuable insights from complex datasets.

This repository provides a curated list of papers, datasets, and resources related to the detection and mitigation of hallucinations in large language models (LLMs). Hallucinations refer to the generation of factually incorrect or nonsensical text by LLMs, which can be a significant challenge for their use in real-world applications. The resources in this repository aim to help researchers and practitioners better understand and address this issue.

mediasoup-client-aiortc is a handler for the aiortc Python library, allowing Node.js applications to connect to a mediasoup server using WebRTC for real-time audio, video, and DataChannel communication. It facilitates the creation of Worker instances to manage Python subprocesses, obtain audio/video tracks, and create mediasoup-client handlers. The tool supports features like getUserMedia, handlerFactory creation, and event handling for subprocess closure and unexpected termination. It provides custom classes for media stream and track constraints, enabling diverse audio/video sources like devices, files, or URLs. The tool enhances WebRTC capabilities in Node.js applications through seamless Python subprocess communication.

The 'llm-misinformation-survey' repository is dedicated to the survey on combating misinformation in the age of Large Language Models (LLMs). It explores the opportunities and challenges of utilizing LLMs to combat misinformation, providing insights into the history of combating misinformation, current efforts, and future outlook. The repository serves as a resource hub for the initiative 'LLMs Meet Misinformation' and welcomes contributions of relevant research papers and resources. The goal is to facilitate interdisciplinary efforts in combating LLM-generated misinformation and promoting the responsible use of LLMs in fighting misinformation.

This project provides a drop-in replacement REST API for Google Cloud Vertex AI (PaLM 2, Codey, Gemini) that is compatible with the OpenAI API specifications. It aims to make Google Cloud Platform Vertex AI more accessible by translating OpenAI API calls to Vertex AI. The software is developed in Python and based on FastAPI and LangChain, designed to be simple and customizable for individual needs. It includes step-by-step guides for deployment, supports various OpenAI API services, and offers configuration through environment variables. Additionally, it provides examples for running locally and usage instructions consistent with the OpenAI API format.

Generates fictional user profiles for software testing

This GPT will take a user's data and use it to construct a fake TV scene. Start by providing it with your character's Patient Profile, Diagnostic Findings, and Lab Data

Der AI Detektor GPT wird von Winston AI betrieben und wurde entwickelt, um AI-generierte Inhalte zu identifizieren. Es wurde entwickelt, um Ihnen zu helfen, die Verwendung von KI-Schreib-Chatbots wie ChatGPT, Claude und Bard zu erkennen.

Tech-savvy guide on AI-generated images and deepfakes.

No matter what, I will generate a fake Paul Graham quotes.

Fantastiska lögner! skapar falska faktatexter. Den ska användas ihop med GPTn Visste du att? som skapar sanna texter. Låt Lögn eller sanning? generera några texter och låt sedan eleverna veta att du bland de sanna texterna gömt några lömska falska texter.

🎙 Fake News Reports for fun

Chat with Joshua Lisec's 'So Good They Call You a Fake,' the instant #1 international bestseller.

Generates Angular components based on requirements, with a focus on code-first responses.

Transforms lines into detailed prompts for visual storytelling.

Discover how your writing can shine with a unique and human style. This prompt guides you to create rich and varied texts, surprising with original twists and maintaining coherence and originality. Transform your writing and challenge AI detection tools!

Generate captions for your image and choose the vibe you like.

I generate top 10 PLG strategies in a table format

I generate viral GPT ideas based on your inputs.

Generate your eslint rule

I generate witty trash talk for fantasy football leagues.

Generate dreamy landscapes with silhouette persons

Helps you generate script keyframes, for better experience please visit museclip.ai

I generate tattoo design ideas based on your preferences.

Extract the essence of the novel story according to the quantity requirements and generate corresponding images. The images can be used directly to create novel videos.小说推文图片自动批量生成,可自动生成风格一致性图片