A thoughtful offline upscaler tool for people who care about their images.
Results that look like photographs, not AI.
Drop the folder. Walk away. Done.
Works for pros. But you don't have to be one.
It's probably 640 × 640 pixels.
Too small for a decent print.
Not anymore.
Drop a folder, go make coffee, come back to print-ready files. Batch processing built in, no per-image babysitting.
Every image undergoes automatic post-processing that preserves fine details, distinguishing it from a hallucinated render.
No uploads, no cloud processing, no waiting in a queue behind someone
else's pet portraits.
Since Enlarger doesn't use generative AI, it's faster than
GPU-heavy alternatives and won't hallucinate details that weren't
there.
No generative model spinning up on every file. Lighter on the GPU, gentler on the fan. No variance, no surprises.
While others move to $149/year plans, Enlarger stays simple: pay once, own it.
You get every update to the current major version. No expiring licenses, no yearly renewals, no per-image limits.
Need a bunch of licenses for your team?
Get in touch →
Try it first! The trial processes 10 images at full quality.
No
watermark, no credit card needed.
Yup. Every image is processed on your machine. Nothing uploads,
nothing leaves your disk.
Enlarger has the upscaling
models built in, and the only time you need an internet connection
is before the license activation. After that, use it offline
wherever you go, no matter the connection.
Generative upscalers invent detail. They guess what a high-resolution version might look like, which works until it doesn't (extra fingers, waxy skin, signage that reads as alien typography).
Enlarger reconstructs what's already there and then applies a finishing pass that reintroduces texture from the original picture.
The output should look like the same photograph, only bigger in size. Not a different photograph that resembles it.
Enlarger works great with material digitized and saved in the 2000s and 2010s. Some examples:
Common web compression formats like WebP or AVIF save space but can cost you quality and sharpness. Enlarger can recover some of what's lost and it doesn't require actual upscaling, just choose the 1x option to enhance without resizing.
And hey, sometimes you just need a placeholder image for that presentation! You've credited it properly, but it's not available in source quality? Run it through Enlarger and make your decks look sharp.
Enlarger has a queue-based workflow with batch parallel processing available. Drop in a whole folder of images, configure your settings once, and let it run.
No need to open each photo one at a time in an editor and repeat the same steps. If you're sitting on a hundred old family photos or an entire album's worth of art, this is where Enlarger really shines.
If you prefer a smoother, denoised look, you can turn off noise.
Most AI upscalers remove noise by default. Enlarger takes the opposite approach, adding a subtle layer of noise or grain in post-processing.
Whether you like the result comes down to personal preference, and your mileage will vary depending on the image.
Nope. You pay once and own a copy of the current major version, like in the good old days. When the next major version comes out, it's up to you to decide if the upgrade is worth it.
Not yet. We're still early in our journey. If you'd like to see these features happen, spread the word! The more support we get, the sooner we can expand our offerings.