Upscale - Creator Tools | TotalApp Docs

What Is AI Upscaling?

AI Upscaling uses a super-resolution neural network to increase the pixel dimensions of an image while simultaneously reconstructing fine details that were absent or blurry in the original. Unlike traditional upscaling (which simply stretches pixels), the AI analyzes the image content and synthesizes new, plausible detail at the higher resolution.

The result is a 2× linear upscale — four times as many pixels — with natural-looking edges, textures, and gradients, free from the blocky artifacts produced by standard bicubic or bilinear interpolation.

When to use Upscaling

Use Upscaling whenever an image needs to be displayed or printed at a size larger than its original resolution supports. Common triggers: printing an image larger than A4, preparing retina-ready web assets, restoring older low-res photographs, or enlarging AI-generated thumbnails.

Key Features

2× Resolution Enhancement

Doubles linear dimensions — a 1024 × 1024 image becomes 2048 × 2048 — giving you four times the pixel count with AI-synthesized detail.

Smart Detail Reconstruction

The model reconstructs edges, textures, and gradients intelligently, not by interpolation — results look naturally sharp rather than computationally smoothed.

Artifact-Free Output

No pixelation, ringing, or compression halos. Output images are clean and suitable for professional use straight from the download.

Batch Processing

Queue multiple images and upscale them in a single session — ideal for product photography collections or series of illustrations.

Multi-Format Support

Accepts JPG, PNG, and WebP input; outputs lossless PNG so no quality is lost in the final file.

Preserves Artistic Intent

The AI keeps color grading, tonal relationships, and the overall look of your image intact — it enlarges, it does not alter.

Quick Start

1. Upload image

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2. Select Upscale

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3. AI processes (30–60 s)

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4. Preview & download

Upload your image — drag and drop or click Upload. Supports JPG, PNG, and WebP up to 10 MB.
Select Upscale — choose the Upscale action from the editor toolbar or the AI Tools panel.
Wait for processing — the AI analyzes your image and reconstructs detail at 2× resolution. Larger images take longer.
Preview and compare — use the before/after slider to verify the improvement before downloading.
Download — save the high-resolution PNG to your device or continue editing in the editor.

Pro tip

Run Upscaling before applying other filters, color corrections, or effects. Starting with the highest-resolution version of your image gives every subsequent edit more pixel data to work with.

Resolution Reference

Original resolution	Upscaled resolution	Pixel count increase	Typical use case
512 × 512	1024 × 1024	4×	AI-generated thumbnail → social post
800 × 600	1600 × 1200	4×	Web image → print-ready
1920 × 1080	3840 × 2160	4×	Full HD → 4K display or large format print
2048 × 2048	4096 × 4096	4×	Maximum quality — poster or billboard

What Gets Enhanced

Edges & Lines

Hard edges, text strokes, and line art become crisp and well-defined instead of blurry or jagged.

Skin & Texture

Portrait skin tones, fabric weave, and surface materials gain realistic micro-detail.

Architecture

Building facades, brickwork, and fine architectural elements become clearly defined.

Text Legibility

Embedded text, labels, and captions become more readable — useful for document images and screenshots.

Limitations

Severely degraded or heavily compressed source images will improve but may not reach the quality of a naturally high-resolution original.
Very abstract or noise-dominated images provide little structural context for the AI, yielding modest improvement.
Upscaled files are approximately four times larger on disk — ensure sufficient storage before batch processing.

Technical Specifications

Attribute	Value
Supported input formats	JPG, PNG, WebP
Maximum input file size	10 MB
Maximum input dimensions	4096 × 4096 px
Upscale factor (linear)	2× (4× pixel count)
Output format	PNG (lossless)
Typical processing time	30–60 seconds per image
AI model	Super-resolution convolutional neural network (SRCNN-class)

Frequently Asked Questions

Can I upscale an already upscaled image?

Yes, but results diminish quickly. The first upscale pass produces the largest quality gain. A second pass on the same image typically yields marginal improvement and increases file size significantly. If you need more than 2× enlargement, consider starting from the highest-resolution source available.

Does upscaling change colors or exposure?

No. The AI is designed to preserve the exact color grading, tone curve, and exposure of your source image. If you notice a shift, it is usually caused by the difference in color rendering between PNG and JPG color spaces — both inputs are handled correctly, but the lossless PNG output may appear slightly different on some monitors.

Is Upscaling available on all plans?

Upscaling credits are included in all paid plans. The number of upscales per month depends on your plan tier. See the Pricing page for a full breakdown.

What happens if I upscale an image that's already at the 4096 × 4096 maximum?

Images at or above the maximum input dimension of 4096 × 4096 px cannot be submitted for upscaling — you'll need to start from a smaller source image. If your image is close to the limit, downscale it slightly first, then run Upscale to get a clean 2× enhancement instead of hitting the size ceiling.