Gigapixel AI is a web-based AI platform for image and video creation, editing, enhancement, and upscaling. The site combines several tools under one product, including an image upscaler, video upscaler, image generator, image editor, restore-image workflow, and other supporting utilities.
Its core purpose is to help users improve existing media or create new assets without switching between separate tools. The product pages emphasize browser-based workflows for uploading content, processing it with AI models, previewing results, and downloading the final output.
Upscale still images online with batch upload support and multiple style or model choices. The site positions the image upscaler for preserving detail while increasing resolution, with output options that include up to 10x on the home and image-upscaler pages.
Enhance low-resolution videos in the browser and choose target resolutions such as 720p, 1080p, 2K, or 4K. The video upscaler page also notes support for multiple formats and frame-rate adjustment.
Generate new images from text or image prompts, with multiple models, styles, and aspect ratios shown on the home page. The site also says the generator can create up to four images at once.
Edit selected regions of an image with Flux Fill-based tooling. The homepage presents this as an AI image editor for precise region-level changes rather than broad filter-style edits.
Restore damaged or faded photos and colorize black-and-white images. The restore image page highlights scratch, crack, stain, tear, and fading repair as part of the workflow.
Add adjacent workflow tools such as background removal, image inpainting, style transfer, and image-to-prompt conversion. These tools extend the platform beyond upscaling into general image preparation and transformation.
Creators can upscale still images for social posts, thumbnails, or portfolio pieces while keeping the workflow inside the browser. The site also highlights batch processing for repeated image jobs.
Video editors and content teams can raise footage to HD or 4K, adjust frame rate, and process common video formats online. The video upscaler page frames this as a cloud-based workflow rather than a local desktop tool.
Designers can generate concept images, refine selected regions, and remove backgrounds when building campaign visuals or product creatives. The product combines generation and editing in one place.
Families, archivists, and restoration-focused users can repair scratched, faded, or black-and-white photos and then colorize them. The restore-image page is positioned around bringing old photos back to life.
E-commerce teams can clean up product photos with background removal, image editing, and upscaling for better presentation. The workflow fits catalog images that need consistent preparation before publication.
Game developers, marketers, and startup teams can use the broader toolset to prototype visuals, generate brand assets, and adapt imagery for different themes or formats. The site presents these as separate professional use scenarios.
Gigapixel AI is an all-in-one platform for AI image and video creation, editing, and upscaling. It combines tools such as image upscaling, video upscaling, image generation, image editing, and photo restoration in one site.
The site highlights image upscaling, video upscaling, AI image generation, AI image editing, restore image, image inpainting, background removal, style transfer, and image-to-prompt tools. The feature pages also show batch processing and multiple output choices for some workflows.
The pricing page shows a Free plan and paid Starter and Premium plans, with annual billing shown for the paid tiers. It also mentions a one-time credits pack, but the source text does not provide full details for that option.
The product pages show common image and video upload flows, plus downloadable results after processing. The video upscaler page supports MP4, WebM, Ogg, MOV, and AVI, while the restore image page supports JPEG, PNG, GIF, and WebP.
The source pages do not describe API access or team account features. The product appears to be used through the web app workflow shown on the site.
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