AI Image Upscaler — 4×, 8×, 16× sharp at any size
Drop any image. Get a 4×, 8× or 16× lossless enlargement in 10–30 seconds. Real-ESRGAN + 4x-UltraSharp + SwinIR + GFPGAN face-aware multi-engine routing. Photos, art, screenshots, old prints — sharp at any size. Free, no watermark, full commercial license.
General-purpose photo upscaling · Photos, artwork, screenshots. The best 80%-case starting point.
From a small JPG to a print-ready 16× enlargement in four clicks
No Photoshop, no Topaz subscription, no 10-minute renders. Drop the image, pick the engine, choose the scale, hit upscale — most images finish in 10–30 seconds.
Drop the image
PNG, JPG or WEBP up to 16 MB. Drag-and-drop, paste from clipboard or click to browse. Source resolutions up to 4096×4096 supported natively. Lower-resolution sources work too — that's the whole point.
Pick the right engine
Real-ESRGAN for the 80% case. 4x-UltraSharp for anime and line-art. SwinIR for macro detail. GFPGAN for portraits with faces. Gigapixel-Style for print-ready output. The default covers most photos.
Choose 2×, 4×, 8× or 16×
2× for web banners, 4× for marketplace listings, 8× for editorial print, 16× for billboards or fine-art reproduction. Higher scales take a few seconds longer but stay sharp on 4K monitors.
Download in 10–30 seconds
PNG keeps full quality, JPG saves bandwidth, WEBP balances both. Face Enhance toggles on by default for any photo with people. Commercial license included on every render.
Six teams that ship sharp visuals at any size
From wedding photographers to marketplace sellers, the bottleneck is the same: a small source file that needs to look sharp on a billboard or 4K monitor. Below are the six teams that replace Topaz Gigapixel and Photoshop's Preserve Details upscale most often.
Wedding & event photographers — old proofs, fresh prints
Couples ask for 24×36" prints from a 12 MP source. GFPGAN preserves the bride's eyelashes and lipstick edges; SwinIR restores fabric texture. Same-day delivery without re-shoots, no Topaz subscription.
Marketplace sellers — supplier images that pass Amazon QC
Amazon, Shopify and Etsy require 1600×1600+ for zoom. 4x-UltraSharp turns 600×600 supplier shots into platform-compliant listings without the per-image retoucher fee. Batch 100 SKUs in one queue.
Print shops — 300 DPI from any web source
Posters, business cards, packaging and gallery prints all need 300 DPI. Gigapixel-Style HD upscales web JPEGs to print-ready files at 16× without artifacts. Cuts the cost of a re-shoot for a single design tweak.
Game artists — texture remastering at 4× for free
Remaster 256×256 legacy textures into 1024×1024 game-ready assets. 4x-UltraSharp preserves hard edges on stone, metal, foliage. Skyrim modding community workflow, now in 30 seconds per texture.
Historians & families — old photos, modern resolution
A 1940s family portrait scanned at 200 DPI looks soft on a 4K screen. SwinIR + Face Enhance recover detail in eyes and clothing. Pair with AI Photo Restore to remove scratches at the same time.
YouTubers & streamers — old screenshots, modern thumbnails
A 720p game screenshot becomes a 4K YouTube thumbnail in one click. 4x-UltraSharp keeps UI text legible; GFPGAN sharpens any faces. No more "looks blurry on TVs" comments.
Five engines, picked for the job
Real-ESRGAN handles 80% of cases — general photo upscaling. 4x-UltraSharp for line-art and packaging. SwinIR for macro detail and texture. GFPGAN for any image with faces. Gigapixel-Style for print-ready 300 DPI output. Switch between them per shot — no separate accounts.
Six rules for upscales that look natural, not plastic
Practical, tested advice for getting sharp enlargements — not the over-smoothed, painterly "AI plastic" that erodes credibility on a print or 4K screen.
Match the engine to the source
Photos with people → GFPGAN or Real-ESRGAN with Face Enhance. Anime, illustrations, line-art → 4x-UltraSharp (avoids the painterly smoothing of general engines). Macro photos, fabric, microscopy → SwinIR. Print-ready output → Gigapixel-Style HD. The wrong engine doubles your re-render rate.
Don't upscale lossy JPEGs blindly
A 50%-quality JPEG with visible blocking artifacts will upscale those artifacts crisper, not better. Toggle Noise Reduction on first to smooth compression first, or convert to WEBP/PNG before upscaling. Garbage in, sharp garbage out.
Pick the scale by the destination
4× is enough for marketplace listings (1600×1600 from 400×400). 8× is the sweet spot for editorial print. 16× is only worth it for billboards, wall-art prints, or fine-art reproductions. Higher scale ≠ higher quality — it adds time, not detail beyond what the source contained.
Always toggle Face Enhance on for portraits
General upscalers smooth faces into a "plastic" look — pores disappear, eyes lose catch-lights, lipstick edges go fuzzy. GFPGAN runs face-aware sharpening as a second pass. Costs 2 extra credits but is the difference between a publishable headshot and an obvious AI render.
Audit at 100% zoom, not full screen
Halos, ringing artifacts and over-sharpening all hide at full-screen view. Always zoom 100% on faces, edges, text, jewelry. If you see ringing around high-contrast edges, drop to a lower scale or switch engine — usually solves it without re-shooting.
Output PNG for print, WEBP for web
PNG is lossless — required for print shops and color-managed workflows. WEBP is 30%+ smaller than JPG at the same quality — required for fast-loading web banners. JPG only when the destination explicitly requires it (some legacy CMS systems). Wrong format = wasted bandwidth or quality loss.
AI Image Upscaler — Frequently Asked Questions
Everything you need to know about upscaling images on ZNIX.ai.
What is an AI image upscaler?+
An AI image upscaler enlarges a low-resolution image to a higher resolution using a neural network trained to invent plausible detail. ZNIX.ai routes your upload to one of five state-of-the-art engines — Real-ESRGAN, 4x-UltraSharp, SwinIR, GFPGAN and a Gigapixel-Style HD pipeline — so you can pick the strongest model per image. Photos, art, screenshots, scanned prints — sharp at any size.
Is the AI upscaler free?+
Yes. New accounts get free credits on signup — enough to upscale several images at no cost. Paid plans start under $20/month and unlock 8× / 16× scales, batch queues, the Gigapixel-Style HD engine, and priority queue. No watermark on free or paid output. Compared to Topaz Gigapixel ($199 one-time + paid upgrades) and per-image retouching, the cost-per-image is typically 95%+ lower.
Which engine should I pick?+
Photos of people → GFPGAN (face-aware) or Real-ESRGAN with Face Enhance. Anime, illustrations, line-art, packaging mockups → 4x-UltraSharp. Macro photos, fabric, wood grain, microscopy → SwinIR. Print-ready 300 DPI output → Gigapixel-Style HD. General photos → Real-ESRGAN (the default). The right engine halves your re-render rate.
How long does an upscale take?+
Most 4× upscales finish in 8–15 seconds. 8× takes 15–30 seconds. 16× and Gigapixel-Style HD take 30–60 seconds — still 10× faster than running Topaz Gigapixel locally on a mid-range laptop. Batch queues run in parallel, so 50 SKUs at 4× usually finish inside 5 minutes.
What's the maximum source resolution?+
Up to 4096×4096 source images are supported natively. The output cap is 16384×16384 (a 4× upscale from 4096, or a 16× from 1024). For larger sources, contact support — we can split the image, upscale tiles in parallel and stitch them back, with no visible seams.
Will the AI invent fake details?+
AI upscalers do "hallucinate" plausible texture in some areas — that's how they exceed simple bicubic upscaling. The five engines we route to are tuned for fidelity, not creative invention; they preserve faces, text and identifiable patterns. For forensic or legal use, where invented detail is a liability, use 2× scale only and disable Face Enhance, or stick to traditional bicubic.
Can I upscale images commercially?+
Yes. Every upscaled output includes a full commercial license — use them on ads, packaging, prints, marketplace listings, anywhere. Output is yours. No attribution required and no per-use fees, regardless of volume.
Can I batch upscale many images at once?+
Yes, on paid plans. Drop up to 100 images per batch, pick one engine + scale combo, and the queue runs in parallel. Common workflows: e-commerce sellers upscaling 100 SKUs to platform spec, photographers upscaling a wedding shoot for prints, game artists remastering a texture pack.
Are my images kept private?+
Yes. Images uploaded to ZNIX.ai are processed in-session and auto-deleted after the upscale completes. They are never added to any training dataset. Your image, your data, your output. Premium plans include private workspaces with no provider-side logging.
How is this different from Photoshop's Preserve Details upscale?+
Photoshop's Preserve Details is a high-quality interpolation algorithm — fast, but limited to 2×–4× before noticeable softness. ZNIX.ai routes through neural engines (Real-ESRGAN, SwinIR, GFPGAN) that invent plausible detail beyond what interpolation can recover. For 8× or 16× scales, or for any photo with faces, the AI-routed pipeline produces noticeably sharper output. No Photoshop license required.
Sharp at any size — drop your image now
Drop a photo, pick the engine, choose 2× / 4× / 8× / 16×. Five engines in one workspace, face-aware enhancement, batch queue. Free credits on signup, full commercial license, no watermark.
No credit card · Free credits on signup · Commercial license · No watermark