SupaRes

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What is SupaRes?

The AI image enhancement platform by Supar offers a fully automated solution for businesses in need of professional-looking photos. It features tools for super-resolution upscaling, face enhancement, tone adjustment, artifact reduction, low-light boost, and noise removal, all powered by AI. The platform also includes cloud storage, team management, and a secure dashboard. There is a free trial available and the company is part of the NVIDIA Inception program.

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⭐ SupaRes Core features

  • ✔️ Super-resolution upscaling
  • ✔️ Face enhancement
  • ✔️ Tone adjustment
  • ✔️ Artifact reduction
  • ✔️ Low-light boost

⚙️ SupaRes use case ideas

  1. Improve product images for e-commerce.
  2. Enhance real estate photos for listings.
  3. Create high-quality marketing materials.

🙋‍♂️ Users of this tool

Photographers
Graphic designers
Digital artists
Marketing teams
Creative agencies
Enterprises
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AI photo editing tool Automated image enhancement software Professional photo editing platform
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🔎 SupaRes Alternatives

⚖️ SupaRes Comparison

SupaRes vs UpscaleImage.AI
SupaRes vs SUPIR
SupaRes vs Smart Upscaler

❓ SupaRes FAQ

Supar offers an AI-powered image enhancement platform with various tools and features, including cloud storage, team management, and a secure dashboard.
Getting started with SupaRes is easy! Simply visit the official website and sign up for an account to start.
SupaRes uses a Freemium pricing model , meaning there is a free tier along with other options.
The typical users of SupaRes include:
  • Photographers
  • Graphic designers
  • Digital artists
  • Marketing teams
  • Creative agencies
  • Enterprises
Yes, SupaRes provides an API that developers can use to integrate its AI capabilities into their own applications.
Follow SupaRes on social media to stay updated with the latest news and features:
SupaRes enjoys a popularity rating of 4.8/10 on our platform as of today compared to other tools. It receives an estimated average of 29.1K visits per month, indicating interest and engagement among users.