Gigapixel AI Review 2026 - Features, Pricing & Deals

Last Updated
•
Feb 13, 2026

Gigapixel AI is an image upscaling software that uses artificial intelligence to enhance low-resolution images, allowing enlargements of up to 6x while maintaining quality. The tool helps photographers, designers, and digital artists transform their images into high-resolution versions suitable for large-format printing and detailed editing.

At its core, the software uses neural networks trained on millions of image pairs to generate new pixels intelligently. It includes 9 different AI enhancement models optimized for different image types, along with face recovery technology that preserves and enhances facial details, and built-in noise reduction capabilities to clean up image artifacts.

The software works as both a standalone application for Windows and Mac, and as a plugin for popular editing programs like Adobe Photoshop and Lightroom. Users can process single images or use batch processing to handle multiple files at once, supporting formats like JPEG, TIFF, PNG, and RAW. The Pro version adds CLI support for commercial workflows and multi-machine deployment. An iOS app is also available with a local 'Just Faces' model and cloud 'Everything' model.

The tool requires robust computer hardware to run effectively. Pricing starts at $10 monthly for basic access when billed annually, with premium plans available for users who need more processing credits. A free tier gives users 8 credits daily to test the software's capabilities.

Who is Gigapixel AI for?

Gigapixel AI is built for creative professionals who need to transform low-resolution images into high-quality, detailed versions suitable for professional use. This tool saves countless hours of manual editing while delivering enlargements up to 6x without the quality loss typically associated with image resizing.

  • Professional photographers who need to rescue and repurpose older, lower-resolution images for large-format printing or digital displays.
  • Graphic designers who regularly convert small stock images or client-provided visuals into crisp, high-resolution assets for commercial projects.
  • Fine artists and illustrators working with portraits, character art, or AI-generated images that need the face recovery technology and detail preservation when scaling up.
  • Studios and creative teams running commercial workflows across multiple machines using the Pro version's CLI and batch processing.
  • Archivists and restoration specialists who enhance historical images while maintaining the integrity of the original.
  • Marketing professionals transforming historical company photos or low-quality product images into sharper visuals for modern marketing campaigns.
  • Social media managers who repurpose content across platforms with different resolution requirements without sacrificing quality.

Gigapixel AI has become an essential tool across creative industries, including advertising agencies, print shops, museums, news organizations, and e-commerce businesses.

Online Reviews (Last 6 Months Summarised)

Users praise the upscaling quality, saying it turns low-res images into high-res ones that look realistic. The interface is easy to use even for beginners, and it handles faces and details exceptionally well. Many photographers love it for restoring old family photos and creating large prints, and the processing speed is fast on good hardware.

It's expensive, especially for casual or one-time use. The tool produces unnatural artifacts or over-sharpening on some images. High GPU/VRAM requirements mean it struggles on weaker computers. Batch processing is slow and resource-intensive. Users report occasional crashes or bugs in updates with slow customer support response times.

Features

  • AI Image Upscaling: Boost image resolution up to 6x using neural networks trained on millions of image pairs that generate new pixels intelligently for professional-quality prints and digital enhancements.
  • 9 AI Enhancement Models: Choose from 9 different AI models optimized for different image types, giving you control over how the upscaling algorithm handles portraits, landscapes, and other content.
  • Face Recovery Technology: Restore and sharpen facial details in low-resolution images with deep learning models that intelligently improve portrait clarity and realism.
  • Noise Reduction Capabilities: Minimize image noise and graininess with built-in AI algorithms that clean up visual imperfections while maintaining image integrity.
  • Batch Processing and CLI: Upscale multiple images simultaneously across formats like JPEG, TIFF, PNG, and RAW, with Pro version offering command-line interface for commercial workflows and multi-machine deployment.
  • Local and Cloud Rendering: Process images locally on your desktop for offline capability, or use cloud rendering options for more processing power and flexibility.
  • Professional Software Compatibility: Integrate with Adobe Photoshop and Lightroom, enabling professional photographers and designers to improve their workflow, with standalone app and iOS options available.

Pricing

  • Free Plan offers 8 credits per day with low priority customer support, commercial license, and batch processing.
  • Starter Plan costs $10 per month when billed annually, providing 3,600 credits yearly (300 credits monthly), batch processing, commercial license, partial features available, low priority customer support and generation queue, and private generations.
  • Premium Plan priced at $14.50 per month when billed annually, delivering 12,000 credits yearly (1,000 credits monthly), all-in-one multi-model support, text/image/video to video, restore image, AI image editor, commercial license, unused credits roll over monthly, batch processing, all features available, high priority customer support and generation queue, private generations, and no ads.
  • 50% OFF available on Premium and Starter plans when billed annually.

Frequently Asked Questions

What computer specs do I need to run Gigapixel AI smoothly?

Gigapixel AI works best with newer computers that have good graphics cards. For smooth operation, you'll want at least 8GB RAM (16GB is better), a multi-core CPU, and a CUDA-compatible NVIDIA graphics card with 4GB+ VRAM. The software can run on older systems, but you'll notice much slower processing times. Mac users need macOS 10.14 or newer. If your computer struggles with the program, try closing other applications while using it or processing smaller batches of images.

How much can I really enlarge my photos with Gigapixel AI?

You can enlarge images up to 6x their original size. The results are usually better than standard resizing methods. The quality depends on your starting image - clearer original photos give better results. Gigapixel works well for doubling or tripling image size, but pushing to the maximum 6x might show some artificial textures in certain cases. The AI handles different image types like portraits, landscapes, and artwork differently to get the best results, with 9 different AI models optimized for specific content.

Can Gigapixel AI fix blurry photos?

Yes, Gigapixel AI can improve slightly blurry photos, but it's not magic. It works best on photos that are soft due to low resolution or minor focus issues. The Face Recovery feature is particularly good at sharpening facial details in portraits. For seriously out-of-focus or motion-blurred images, you'll see improvements but not perfect clarity. For best results, combine Gigapixel with Topaz Sharpen AI if you have very blurry images. Remember that the AI can't create details that weren't captured in the original photo.

How does Gigapixel AI compare to Photoshop's resizing tools?

Gigapixel AI typically produces better results than Photoshop's standard resizing tools. While Photoshop uses more basic algorithms like bicubic smoothing, Gigapixel uses neural networks trained on millions of image pairs that can actually add realistic details to enlarged images. You'll notice the biggest difference when making large enlargements - Photoshop often creates pixelated or overly smoothed results, while Gigapixel maintains textures and sharpness. The downside is that Gigapixel takes longer to process images and isn't built into your existing workflow like Photoshop's tools.

How many credits do I need for batch processing multiple images?

Each image you process uses one credit, regardless of size or how much you enlarge it. So if you batch process 20 images, you'll use 20 credits. The Starter Plan gives you 300 credits monthly (3,600 yearly when billed annually), which is enough for about 300 images. The Premium Plan includes 1,000 credits monthly (12,000 yearly), ideal for photographers or designers working with lots of images. Unused credits roll over to the next month, which helps if your workload varies. The free plan gives you 8 credits daily to test the software before committing to a paid plan.

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