Private by design
image processing stays in your browser. ResizeNest does not need your original image uploaded to an application server.
Image tool
Image Enlarger
Make images larger with traditional resampling in the same local ResizeNest image engine used by resize-image. This tool does not use AI and does not claim to reconstruct missing detail.
Local processing Batch ready JPG · PNG · WEBP · AVIF
Start here
Use image enlarger now
No account is required. Choose a file and work directly in this browser.
Real output
Results come from the actual processing pipeline, with measured dimensions, bytes and format instead of placeholder estimates.
Simple workflow
Process one image or a local batch, then download current successful results.
Three simple steps
How to use image enlarger
- 01
Choose, drop or paste one or more JPG, PNG, WebP or AVIF images. A 2x scale is suggested after selection, but processing does not start automatically.
- 02
Choose 2x, 3x or 4x and select Lanczos3 for smoother photographic resampling or nearest-neighbor for hard pixel-art edges. Presets that exceed browser safety limits are disabled with a reason.
- 03
Process the selected image or batch, review the worker-produced dimensions and bytes, then download one current result or current successful results as a ZIP.
Useful details
Built for a clear, predictable result
Understand what the tool does before you download the result.
Traditional resampling, not AI upscaling
ResizeNest enlarges decoded pixels with deterministic resampling. It does not run a generative model, invent scene detail, assign an AI quality score, or promise enlargement without quality loss.
Exact scale and pixel growth
A 2x scale doubles width and height, while a 4x scale creates 16 times as many output pixels. Larger dimensions can increase memory use and file size substantially even when the source file is small.
Lanczos3 and nearest-neighbor
Lanczos3 is the default high-quality resampler for photographs and uses premultiplied-alpha handling in the shared pipeline. Nearest-neighbor is an explicit option for pixel art where hard block edges should remain unsmoothed.
Resource limits are checked before processing
ResizeNest estimates output dimensions, pixel count and peak processing memory for each image. A preset that exceeds the configured side, pixel or memory cap is disabled and its requested dimensions are not silently reduced.
Original-source and output semantics
Every new scale is rebuilt from the immutable original instead of enlarging an earlier enlarged result. The default output keeps the source format, alpha-capable formats can preserve transparency, and JPEG uses an explicit opaque background before its fresh lossy encode.
Per-file batch workflow
Each image can use its own scale and interpolation. Applying settings across a batch is explicit, incompatible presets are reported per file, failures do not erase successful current results, and processing plus downloads stay on /image-enlarger.
Questions, answered
Frequently asked questions
Is this an AI image upscaler?
No. The image enlarger uses traditional resampling only. It does not reconstruct missing real-world detail or promise AI enhancement.
Does 4x mean four times as many pixels?
No. Four times the width and height produces 16 times as many pixels, which is why memory and output-size limits can become important quickly.
Which interpolation should I use?
Lanczos3 is the default for smoother photographic enlargement. Use nearest-neighbor when you intentionally want hard pixel-art blocks without smoothing.
Will enlarging improve image quality?
It increases pixel dimensions, not captured source detail. A small or noisy source can look softer or more visibly pixelated after enlargement.
Does changing scale change the URL?
No. Scale changes, processing, retry, results and downloads all remain on /image-enlarger.