SupaRes Product Information

AI Image Enhancement Platform | SupaRes is a fast, AI-powered image enhancement engine that automatically upscales, restores, denoises, fixes, and optimizes images. It targets professionals across web design, real estate, marketing, and publishing, delivering high-quality, professional photos in seconds. The platform offers a range of specialized tools and an intuitive browser-based interface with cloud storage, team collaboration, and strong security.


How it works

  1. Upload an image (or drop it into the uploader).
  2. Choose the desired enhancement modules (super resolution, face enhancement, tone adjustments, etc.).
  3. The AI processes the image to produce a crisper, more polished result. Larger images are resized automatically if needed. You can download the enhanced image and/or save it to cloud storage.

The demo app supports input images up to 600×600 pixels; larger visuals are resized before processing.


Features and Capabilities

  • Super Resolution: Upscale low-resolution images to high-resolution outputs using AI-powered upscaling.
  • Face Enhancement: Detect and enhance faces for clear, high-resolution portraits.
  • Tone Adjustments: Automatic light, color, and white balance adjustments with a single click.
  • Artifacts Reduction: Remove compression artifacts to restore crystal-clear quality.
  • Low-Light Boost: Improve visibility in dark images while preserving details.
  • Noise Removal: Denoise images with surgical precision while preserving textures.
  • Image Optimization: Built-in optimization engine for balancing file size and visual quality.
  • Cloud Storage: Unlimited cloud storage on paid plans for collaboration and backup.
  • Team Management: Collaborate with team members within the UI.
  • Security: 2FA and enterprise-grade security practices to keep accounts safe.
  • High-Performance Infrastructure: NVIDIA GPUs, AMD processors, and NVMe storage for fast processing.
  • Integrations and Access: Browser-based UI with easy onboarding and API/Reference access (API Reference listed in Resources).
  • Branding and Trust: Handcrafted in Berlin; reputable deployment and enterprise readiness.

How to Use SupaRes

  1. Sign up for a free account (no credit card required) and start with your first 5 enhancements on us.
  2. Upload your image (up to 600×600 in the demo; larger images are resized automatically).
  3. Select the enhancement options you want and let SupaRes process the image.
  4. Download the enhanced image or save it to cloud storage; invite team members for collaboration if needed.

Core Capabilities

  • Super Resolution: Upscale and restore image quality with AI-powered upscaling
  • Face Enhancement: Detects and enhances faces for clear portraits
  • Tone Adjustments: Automatic lighting, color, and white balance tweaks
  • Artifacts Reduction: Removes compression and artifact noise
  • Low-Light Boost: Improves visibility in dark images
  • Noise Removal: Denoises while preserving texture and detail
  • Image Optimization: Balances file size and visual quality
  • Cloud Storage: Unlimited storage on paid plans
  • Team Management: Collaboration features for teams
  • Security: 2FA and secure account practices
  • High-Performance Backend: GPU-powered processing for speed and quality
  • Browser-based UI: Intuitive interface with easy onboarding

Pricing and Access

  • Create a Free Account to get started with no credit card required; first 5 enhancements are on us.
  • Premium plans offer unlimited cloud storage, enhanced features, and team management options.
  • API Reference and Resources available for developers.

Notes

  • The platform emphasizes fast, automated image enhancement suitable for web design, real estate, marketing, publishing, and more.
  • The demo uploader showcases a 600×600 input limit; larger uploads are resized prior to processing.

Safety and Best Practices

  • Use for legitimate editing and enhancement of your own content or content you have rights to modify.
  • Respect privacy and licensing when enhancing or sharing images.