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The sparkpix.ai batch image upscaler bulk-upscales up to 20 photos to 4K, 6K, or 8K in one run using Real-ESRGAN AI. Sign in, pay 1 credit per image, and download every result as a single ZIP. Last updated May 27, 2026.
Drop images here or click to upload
JPG, PNG, WebP — max 20 MB each — up to 20 images
A batch image upscaler is an AI tool that upscales many photos in a single run instead of forcing you to upload, wait, and download one image at a time. The sparkpix.ai batch image upscaler takes a queue of up to 20 JPG, PNG, or WebP files and applies Real-ESRGAN super-resolution to each one, outputting 4K, 6K, or 8K versions in parallel.
It exists because bulk upscaling on the desktop is painful. Topaz Gigapixel AI is great but costs $99 up front and ships ~6 GB. Upscayl is free but needs a discrete GPU and command-line patience. Photoshop's Super Resolution is one-image-at-a-time inside Adobe Camera Raw. The web-based batch upscaler fills the gap between “I need this done now, in a browser, no install” and “I have more than one image.”
The model under the hood is Real-ESRGAN (open-source, paper-published in 2021, trained on diverse photo and illustration datasets). When you toggle Face Enhancement on, GFPGAN v1.4 is chained in to restore facial detail during the upscale — useful for portrait batches, skip it for product shots and landscapes.
Sign in with Google (5 free credits on signup). Drag and drop or click to add up to 20 JPG, PNG, or WebP files (max 20 MB each). Files compress client-side and stream straight to Cloudflare R2 — no server hop.
Choose 2× (4K), 3× (6K), or 4× (8K) upscale. Toggle Face Enhancement for portrait batches — GFPGAN restores facial detail. Leave off for products, landscapes, illustrations.
Click Start Processing. 1 credit is deducted per image. Real-ESRGAN runs images in parallel. When done, click Download ZIP for all results — or grab single images individually. Failed images auto-refund their credit.
Six common workflows where running 20 images through Real-ESRGAN at once beats doing it one frame at a time.
Sellers on Amazon, Shopify, Etsy, Mercado Libre need 2000 × 2000 px or larger for zoom. Upload your 20 best product shots, get 4K versions in one batch, drop into your listing CSV.
Wedding, event, or portrait photographers who shot at lower ISO and want to deliver upscaled hero shots without firing up Lightroom Super Resolution one frame at a time.
Take a folder of 1080p designs and bring them all to 8K (25 × 14 in at 300 DPI) in one run. Face enhancement covers portrait prints; ZIP download keeps your batch workflow clean.
Billboard, banner, trade-show backdrops at 8K from a folder of source comps. Pay-per-image beats burning a Topaz seat license on a one-off project.
Scanned albums, family photos, historical archives — bulk upscale to print-ready resolution and then keep the originals frozen. R2 storage is auto-deleted in 3 days, no PII risk.
Take 20 phone-camera property shots and bring them to MLS-ready resolution. Face enhancement off (we are not retouching people), 4K is usually enough.
The exact pixel dimensions you get from each upscale factor. Pick the smallest scale that meets your print or display requirement — bigger scales cost the same credit but take longer.
| Input dimensions | 2× (4K) | 3× (6K) | 4× (8K) |
|---|---|---|---|
| 720 × 720 | 1440 × 1440 | 2160 × 2160 | 2880 × 2880 |
| 1024 × 1024 | 2048 × 2048 | 3072 × 3072 | 4096 × 4096 |
| 1280 × 720 (HD) | 2560 × 1440 | 3840 × 2160 | 5120 × 2880 |
| 1920 × 1080 (FHD) | 3840 × 2160 (4K) | 5760 × 3240 (6K) | 7680 × 4320 (8K) |
| 1080 × 1440 (portrait) | 2160 × 2880 | 3240 × 4320 | 4320 × 5760 |
| Output | Max print at 300 DPI | Best for |
|---|---|---|
| 4K (3840 × 2160) | 12.8 × 7.2 in (32.5 × 18.3 cm) | 4K display, small prints, social media |
| 6K (5760 × 3240) | 19.2 × 10.8 in (48.8 × 27.4 cm) | Medium poster, framed wall art |
| 8K (7680 × 4320) | 25.6 × 14.4 in (65 × 36.6 cm) | Large poster, canvas print, billboard prep |
Side-by-side comparison of the four most common ways to bulk upscale photos. Pick the tool that matches your usage pattern, not just the price tag.
| Feature | sparkpix.ai (this) | Topaz Gigapixel AI | Upscayl (desktop) | Free single-image |
|---|---|---|---|---|
| Batch upload (multiple photos at once) | Up to 20 per batch | Unlimited (desktop) | Folder mode | One at a time |
| Install required | No — browser only | Yes — ~6 GB | Yes — needs GPU | No |
| Max upscale | 4× (up to 8K) | 6× | 4× | 4× (up to 4K) |
| Face enhancement (GFPGAN) | One-click toggle | Face Recovery AI | Separate model | Not available |
| One-click ZIP of all results | Yes | Saves locally | Saves locally | Single download |
| Pricing | ~$0.03 / image (1 credit) | $99 one-time license | Free (you bring GPU) | Free, no login |
| Best for | Bulk runs, no install | Pro daily heavy use | Power users w/ GPU | Single quick test |
Sources: Topaz Labs pricing page (topazlabs.com), Upscayl GitHub README (github.com/upscayl/upscayl), Adobe Camera Raw documentation.
Source images > 1024 px on the longest side are auto-resized client-side before upload to keep GPU memory predictable. Your final output dimensions still come from your chosen scale (2×/3×/4×) and the post-resize input, so a 4000 × 3000 input still gets you a high-quality 4096 × 3072 4K output — and uploads finish 10× faster.
GFPGAN is tuned for faces and fixes the slight plastic look Real-ESRGAN can give close-up portraits. It adds ~5–10 s per image. Off is the right call for product shots, landscapes, and illustrations.
Real-ESRGAN here works on anime too, but sparkpix.ai/aitools/free-anime-upscaler is tuned specifically for clean line-art and flat colors. Use that for a single-image test before committing credits on a batch.
For 8 × 10 in / A4 prints at 300 DPI, 4K (3840 × 2160) is enough. Picking 8K when 4K covers the requirement just spends 2× the credits and 2× the wait.
If 2 of 20 fail due to a transient network error, those credits are auto-refunded and the failed cards stay in the grid. Just click Start Processing again — only the failed items re-run, the successes stay cached.
A batch image upscaler is an AI tool that upscales multiple photos at once instead of one by one. sparkpix.ai batch image upscaler uses Real-ESRGAN to upscale up to 20 photos to 4K, 6K, or 8K resolution in a single run, then packages all results into a ZIP file for one-click download.
Up to 20 images per batch. Each image is processed in parallel by Real-ESRGAN AI at your chosen resolution (4K, 6K, or 8K). Typical batch of 10 images at 4K finishes in 2–4 minutes depending on input size.
Each image costs 1 credit (~$0.03). A batch of 10 images costs 10 credits, a batch of 20 costs 20 credits. Credits sell at $9.99 for 350 credits or $29.99 for 1200 credits. New users get 5 free credits on signup. If an image fails, its credit is automatically refunded via an atomic database update.
The batch version requires sign-in and 1 credit per image because of the GPU cost of running 20 concurrent Real-ESRGAN jobs. If you only need to upscale one image, use the free single-image version at sparkpix.ai/aitools/free-hd-upscaler — no login, no credits.
Each input file can be up to 20 MB. The client automatically compresses images larger than 4 MB to WebP before upload. If a source dimension exceeds 1024 px on its longest side, it is downscaled before upscaling to prevent GPU out-of-memory errors — Real-ESRGAN then upscales it 2×, 3×, or 4× as configured.
Real-ESRGAN (Practical Algorithms for General Image Restoration) — an open-source super-resolution model trained on diverse photo and illustration data. The pipeline runs on RunningHub ComfyUI infrastructure. When Face Enhancement is enabled, GFPGAN v1.4 is chained in to restore facial detail during upscale.
Pick 4K (2× upscale) for digital displays, social media, or small prints up to 13×8 inches at 300 DPI. Pick 6K (3× upscale) for medium prints up to 19×11 inches at 300 DPI. Pick 8K (4× upscale) for large posters, canvas prints up to 25×14 inches at 300 DPI, or billboard work. Higher scales take longer.
A single image typically takes 10–25 seconds at 4K, 20–40 seconds at 6K, and 30–60 seconds at 8K. Because the batch runs images in parallel, a batch of 10 images at 4K usually completes in 2–4 minutes total. Face enhancement adds 5–10 seconds per image.
Yes. Real-ESRGAN handles both photos and illustrations. For pure anime or 2D art you may get sharper results from the anime-tuned model at sparkpix.ai/aitools/free-anime-upscaler (single-image, no login). For mixed batches the standard Real-ESRGAN in this tool is the right choice.
The credit for that specific image is automatically refunded. The refund uses an atomic UPDATE ... WHERE status = processing pattern so a single failure can only ever issue exactly one refund — concurrent retries cannot double-refund.
Inputs and outputs are stored on Cloudflare R2 (bucket sparkpix-images) behind cdn.sparkpix.ai. Each upload lands under uploads/<your-user-id>/ and is auto-deleted after 3 days by a cleanup job. We never use uploaded photos for AI training.
Yes. You retain full ownership and commercial rights to any images you upload and the upscaled outputs we generate from them. The tool is suitable for e-commerce product photos, client photography delivery, marketing assets, and print sales.
Topaz Gigapixel AI is a desktop app with a one-time $99 license and unlimited local processing — best for pros with daily heavy use. Upscayl is a free desktop app that needs a discrete GPU and Real-ESRGAN setup — best for power users. sparkpix.ai batch upscaler is browser-based, no install, pay-as-you-go ~$0.03 per image — best for one-off bulk runs or teams that do not want to manage local AI tooling.
Single-image Real-ESRGAN. No login, no credits. Use for a quick test before committing to a batch.
Tuned for anime, manga, and 2D illustrations. Free, single-image, no login.
Single-image 4K upscaler — for one-off images, no batch needed.
DPI-aware upscaling with print-size guide. Single-image, optimized for canvas + poster output.