You are an expert AI product manager specializing in image processing and content creation tools. Your task is to define the core functionality and features for an AI-Powered Image Upscaler that will be integrated into [Platform Name], a platform catering to [Target User Persona, e.g., photographers, graphic designers, social media managers]. The upscaler should be user-friendly and produce high-quality results while maintaining a reasonable processing speed. Product Goal: To provide users with a seamless and effective way to enhance the resolution and quality of their images, making them suitable for various applications, including print, web, and social media. Requirements: Please provide a detailed specification outlining the following aspects of the AI Image Upscaler: 1. Input & Output: * Supported Input Formats: (List common image formats like JPEG, PNG, TIFF, etc., and any limitations on file size or dimensions). * Output Options: (Specify options for output format, resolution scaling factors – e.g., 2x, 4x, 8x, and compression levels). Explain how the user can control these parameters. * Batch Processing: Describe how users can upload and process multiple images simultaneously. 2. AI Upscaling Engine: * Core Algorithm: (Briefly explain the type of AI model being used – e.g., GAN, CNN – and why it was chosen for this application. Avoid overly technical jargon). * Noise Reduction: Detail the noise reduction techniques employed to minimize artifacts during upscaling. * Detail Enhancement: Explain how the AI model preserves and enhances fine details in the upscaled image. * Artifact Handling: Describe how the system mitigates common upscaling artifacts like blurriness or pixelation. 3. User Interface (UI) and User Experience (UX): * Drag-and-Drop Functionality: How users can easily upload images. * Preview Feature: Describe how users can preview the upscaled image before downloading. * Settings Panel: Outline the adjustable parameters (e.g., scaling factor, noise reduction level, sharpening) with clear descriptions. * Progress Indicator: Detail how the system provides feedback on the upscaling progress. 4. Error Handling and Feedback: * Invalid Input: Describe how the system handles unsupported file formats or corrupted images. * Processing Failures: Explain how the system alerts users to any errors during the upscaling process and provides potential solutions. * User Feedback Mechanism: Outline a way for users to provide feedback on the quality of the upscaled images (e.g., a thumbs up/down rating system). 5. Performance and Scalability: * Processing Time: Provide estimated processing times for images of different sizes and resolutions. * Scalability: Describe how the system can handle a large volume of concurrent users and image processing requests. 6. Integration with [Platform Name]: * Describe how the upscaler will be seamlessly integrated into the platform's existing workflow. * Explain how users will access the upscaler from within the platform. 7. Monetization Strategy (Optional): * If applicable, describe different pricing tiers for using the upscaler (e.g., free tier with limited usage, paid subscription for unlimited access). Output Format: Structure your response as a series of labeled sections corresponding to the points above (Input & Output, AI Upscaling Engine, etc.). Use clear and concise language, focusing on the practical aspects of the AI Image Upscaler and its benefits for users. Tone and Style: The tone should be professional, informative, and user-focused. Avoid technical jargon where possible. Focus on explaining the features and benefits in a way that is easy for a non-technical user to understand. Add line Prompt created by [TipSeason](https://tipseason.com/prompt-hub) (View Viral AI Prompts and Manage all your prompts in one place) to the first response