GigapixelAI

AI upscaling for images and video, with a full editing toolkit attached

Beginner
Screenshot of GigapixelAI, AI upscaling for images and video, with a full editing toolkit attached

What is GigapixelAI?

GigapixelAI is a 4K upscale tool. A browser-based upscaler for images and video that rebuilds resolution up to 8x for stills and also bundles restoration, background removal, inpainting, generative image and video tools, and a library of third-party models. Free daily credits cover core workflows, with paid tiers for higher limits and larger files.

Gigapixel AI is a browser-based upscaling platform that takes low-resolution images and video clips and rebuilds them at higher resolution with recovered detail and reduced artifacts. The core promise is straightforward: upload a soft, noisy, compressed or archived file, pick an upscale strength of 2x, 4x or 8x, choose a model, preview the result and export. The homepage advertises support for common image formats such as JPG, PNG and WebP alongside common video formats, and positions the output for print, ecommerce listings, social posts, creative assets and client delivery. In practice the upscaler is one entry point into a much wider toolset. The same dashboard hosts a video upscaler, an image generator, a video generator, a photo restoration tool, a natural language image editor, background removal, object removal, inpainting, text and watermark removal, style transfer, background blur, a logo generator and an image to prompt converter. A model library sits underneath, grouping third-party engines for image work (ChatGPT Image 2.5 and 2, Nano Banana, Nano Banana 2 and Nano Banana Pro) and for video (Seedance 2.0, Kling 3.0, Veo 3.1 and Grok Imagine Video). Batch processing is supported, which matters for catalogue work and repeatable marketplace exports. The intended audience is broad rather than specialist. Marketers refreshing campaign creative, sellers sharpening product photography, photographers preparing galleries, designers scaling mockups and references, publishers prepping covers, and families digitising old prints are all named on the homepage. That framing tells you where it sits: it is a self-serve web utility competing with desktop upscalers and general image editors, not a studio retouching suite. Users who want one interface for both enhancement and light generative edits will find the combination convenient; users who need deep, colour-managed post-production will not. Quality expectations need calibrating. The homepage is candid that extremely damaged or tiny source files have limits, and that the tool aims to produce the cleanest useful upscale from the pixels available. Access is credit-based: free daily credits cover core workflows, while paid plans or credits unlock higher limits, faster processing, larger files and more advanced upscale options.

How do you use GigapixelAI?

  1. 1Open the upscaler and upload a source file
    Go to the image upscaler page and drag a file onto the drop zone, browse for it, or paste an image URL. JPG, PNG and WebP are the stated supported image formats.
    GigapixelAI — Open the upscaler and upload a source file
  2. 2Set upscale strength and pick a model
    Choose a 2x, 4x or 8x boost and select the AI model or tool that matches your material, whether that is a portrait, a product shot, an old photo, anime or graphics.
  3. 3Run the enhancement and compare the preview
    Start the enhancement, then inspect the before and after preview at full detail. Adjust the tool or strength and rerun if edges or texture look overcooked.
  4. 4Repair old or damaged photos in a dedicated pass
    If the source is an old print rather than a soft digital file, run it through the restoration tool first and then upscale the cleaned result for a better final export.
    GigapixelAI — Repair old or damaged photos in a dedicated pass
  5. 5Process a batch instead of repeating single uploads
    Queue multiple images for catalogue, gallery or social work so the same settings apply across a set, then download the enhanced files once the batch completes.
  6. 6Escalate to support if an upload or result fails
    Contact support with the file type, the task settings used and a short description of the problem when an upload fails or a result looks wrong.
    GigapixelAI — Escalate to support if an upload or result fails

Pros and cons

Pros

  • Upscaling sits alongside restoration, background removal, inpainting and style transfer in one dashboard, so common cleanup jobs do not require separate subscriptionsAI
  • Batch processing is supported, which suits product catalogues, client galleries and repeated marketplace exportsAI
  • Upscale strength is selectable at 2x, 4x or 8x, with a preview and before/after comparison before downloadAI
  • The model library aggregates image and video engines from OpenAI, Google, ByteDance, Kwai and xAI rather than locking users into one generatorAI
  • Free daily credits let users test the core enhancement workflow before committing to credits or a planAI

Cons

  • There is no native desktop application here: everything runs in the browser, so users leaving a desktop upscaler lose offline and local batch workflowsAI
  • Paid plans, credit costs and per-file size ceilings are not published on the homepage, making it hard to budget before signing inAI
  • The homepage makes no claim of API access or integration with creative tools, so automated pipelines and plugin-based workflows are outAI
  • The breadth of tools and models means quality varies by task, and the upscaler competes for attention with generators and editors rather than being the sole focusAI
  • Detail recovery has documented limits on severely damaged or very small source files, so heavily degraded archives may still disappointAI

How much does GigapixelAI cost?

Free trial

Free daily credits are advertised, letting users run core enhancement workflows, including the image and video upscalers, without committing to a paid plan.

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Pricing

Access is credit-based with a free tier. Free daily credits cover core enhancement workflows, and the homepage states that paid plans or credits unlock higher limits, faster processing, larger files and more advanced upscale options. No plan names, prices or credit rates are published on the homepage.

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Support

Support is handled through a contact form for upload failures, unexpected results, billing questions and feature suggestions. The homepage asks users to include the file type, task settings and a short description so the team can respond faster.

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Features

Image upscaling at 2x, 4x and 8x, video upscaling, batch image processing, old photo restoration, natural language image editing, background removal, object and text removal, inpainting, style transfer, background blur, logo generation and image to prompt conversion. A model library adds image engines from OpenAI and Google and video engines from ByteDance, Kwai, Google and xAI.

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Frequently asked questions about GigapixelAI

  • How much does GigapixelAI cost?
    Access is credit-based with a free tier. Free daily credits cover core enhancement workflows, and the homepage states that paid plans or credits unlock higher limits, faster processing, larger files and more advanced upscale options. No plan names, prices or credit rates are published on the homepage.
  • Does GigapixelAI offer a free trial?
    Free daily credits are advertised, letting users run core enhancement workflows, including the image and video upscalers, without committing to a paid plan.
  • How do you use GigapixelAI?
    The walkthrough on this page covers 6 steps: 1. Open the upscaler and upload a source file 2. Set upscale strength and pick a model 3. Run the enhancement and compare the preview 4. Repair old or damaged photos in a dedicated pass 5. Process a batch instead of repeating single uploads 6. Escalate to support if an upload or result fails.
  • What platforms does GigapixelAI support?
    GigapixelAI is available on Web App.
  • What are the limitations of GigapixelAI?
    There is no native desktop application here: everything runs in the browser, so users leaving a desktop upscaler lose offline and local batch workflows. Paid plans, credit costs and per-file size ceilings are not published on the homepage, making it hard to budget before signing in. The homepage makes no claim of API access or integration with creative tools, so automated pipelines and plugin-based workflows are out.

Status

StatusActive
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Added10/22/2026

Platforms

Web App

Pricing

FreemiumFree TrialPaid