Last Updated
Overview
Gigapixel is an AI Software for image upscaling, which, while requiring significant computer resources for optimal performance, provides industry-leading quality in increasing image resolution up to 6 times without losing vital details. Overall, Gigapixel AI's technical superiority and detailed output make it a compelling choice for professional image enhancement.
Be the first one to leave a review!
No review found
Starting Price
Custom
Gigapixel AI Specifications
Deep Learning Software
Generative AI Software
Machine Learning Software
Natural Language Dialogue
What Is Gigapixel AI?
Gigapixel AI, also known as Topaz Gigapixel, is an image upscaling software powered by deep learning models, engineered to enlarge photos and graphics while preserving or even enhancing intricate details and overall image quality. The platform features different AI models, such as High Fidelity and Low Res, allowing users to select the best processing algorithm tailored to the input image's original quality and content. This specialized approach makes it an invaluable tool for photographers, designers, and archivists who need to repurpose low-resolution assets into high-quality, print-ready, or display-ready images.
Gigapixel AI Pricing
Gigapixel AI offers the following plans:
- Personal Plan: $29/month
- Pro Plan: $50/month
- Topaz Studio: $69/month
Disclaimer: The pricing is subject to change.
Gigapixel AI Integrations
Gigapixel AI integrates with various platforms and systems such as:
- Lightroom Classic
- Photoshop
- Photoshop Elements
- Capture One
- Apple Photos
- Affinity Photo
Who Is Gigapixel AI For?
Gigapixel AI software is ideal for a wide range of industries and sectors, including:
- Professional photography
- Fine artists
- Designers
- Commercial filmmakers
- Archivists
- Digital artists
- Visual storytellers
Is Gigapixel AI Right For You?
If your professional workflow frequently involves preparing images for large-scale output, such as printing posters or billboards, or if you need to restore older, low-quality photos for modern use, then Gigapixel AI offers a unique and powerful solution. Unlike generic resizing tools, Gigapixel AI generates new, high-quality pixels, making it indispensable for achieving clean, high-resolution results from a low-res source. Its specialized generative models, like Redefine, provide creative control over the final output, ensuring users get the best possible quality.
Still doubtful if Gigapixel AI software is the right fit for you? Contact us at (661) 384-7070 for further guidance.
Gigapixel AI Features
This feature provides users with a selection of upscaling algorithms, each trained for a distinct image type, such as standard photographs, high-fidelity source images, low-resolution files, or content dominated by Text & Shapes. Users can select the optimal model to ensure maximum detail retention and the highest quality output for their specific use case, offering precision unavailable in standard upscaling methods.
The face recovery functionality is an advanced tool that automatically detects small or low-resolution faces within an image during upscaling. It intelligently reconstructs and refines facial features, such as eyes and skin texture, to ensure they appear sharp and natural in the final, enlarged photograph, which is crucial for portrait and event photography.
Gigapixel AI allows users to super-scale any image up to 6 times its original size while preserving quality. This core technology means users can zoom in or crop heavily on a subject without the typical loss of clarity. It ensures that every important detail remains crisp and defined for high-quality, print-ready output.
This powerful feature provides users with the ability to offload the most computationally intensive upscaling tasks to the cloud. This alleviates the strain on the local computer hardware, ensures faster processing times for very large or complex files, and grants access to the latest, most resource-demanding generative AI models.
The software focuses on maximizing both the level of detail and the accuracy to the original image by generating the "right" new pixels rather than just more pixels. This is a core feature that allows users to explore different AI models while maintaining a realistic and high-fidelity output that is true to the visual source.
