Photographer
A 12 MP portrait needs to become a 48 MP print. The run-through takes under a minute and keeps skin texture intact.
See how the topaz photo pipeline handles this workflow.Topaz Labs builds the image upscaler this page is about. Upload a photo, choose a scale, and download a larger file without the usual blur. This guide covers the prerequisites, one full run-through, the options table, and the limits where the Topaz image upscaler stops being the right tool. If you need batch work instead of a single image, the topaz image suite connects the same models in one workspace.
Upscale an image nowBefore you run a job, Topaz Labs recommends checking three things. The image upscaler is forgiving, but these three checks decide whether the result looks natural.
Topaz Labs sees 900 × 900 px as a comfortable floor. Smaller images upscale, but the model has less real detail to work with.
Decide whether you need 2× for web or 4× for print before you start. That choice changes processing time and file size.
Topaz Labs supports PNG and TIFF natively. JPEG artifacts limit the image upscaler more than resolution does.
Here is the full Topaz Labs workflow, matched to the person doing it. The image upscaler works the same way for every persona: upload, scale, export.
A 12 MP portrait needs to become a 48 MP print. The run-through takes under a minute and keeps skin texture intact.
See how the topaz photo pipeline handles this workflow.Pull a still from a 1080p clip and want a clean 4K frame. The same upload-scale-export flow works in one pass.
Pair it with the topaz video suite for the full workflow.A scanned family photo has visible grain and a faded background. The upscaler adds structure without inventing new texture.
Start from the topaz labs photo restoration workflow instead.Batch product images for a storefront at 2× so they stay sharp on retina screens. The output stays lighter than a raw export.
Compare this with the topaz image suite for batch work.SD footage stills go into a YouTube thumbnail at 3840 px wide. The full run-through works before you open a video editor.
Apply the same logic to topaz video upscaling for clips.Topaz Labs gives you three practical output options: keep the original, go 2×, or go 4×. The table below is the quick comparison; the visual under it shows the same tradeoff.
| Option | Output width | Best for | Typical size |
|---|---|---|---|
| Original | 1,024 px | Web use where no enlargement is needed | 0.8 MB |
| 2× upscale | 2,048 px | Retina displays and small prints | 1.6 MB |
| 4× upscale | 4,096 px | Large prints and detailed crops | 6.4 MB |
The image upscaler adds detail only where the model has learned it; edges stay sharp and texture is not smeared.
Topaz Labs built the online upscaler to be reliable for photos, but it does not fix every problem. Faces, text, and repeated patterns can fail when the source is too small or too compressed. Use the estimator below to see where a normal batch stops being worth the effort.
The calc covers successful batches. When a face is below 200 px across, the model cannot reconstruct it; that is where topaz labs photo restoration is the better starting point.
Quick answers to the most common questions about the Topaz Labs image upscaler.
Topaz Labs does not charge for the online upscaler on this site. You can upload a photo, process it, and download the result without an account.
Topaz Labs limits batches by total pixel count rather than file count. The estimator above helps you keep a batch inside the practical range.
Topaz Labs suggests PNG when you need lossless detail, and JPEG when file size matters more. The upscaler keeps the same format unless you ask for a change.
The Topaz Labs image upscaler synthesizes plausible texture, but it does not recover information that was never recorded. A 200 px face cannot become a photoreal 800 px face.
Softness usually means the source was out of focus or heavily compressed before upload. Topaz Labs processing preserves what is there; it cannot sharpen what was never captured.