Upload a faded scan or family print, drag the slider to compare, then keep credits for the rest of the album. Preview your own photo on this page before you sign in.
87% approve results on the first review · Preview free, no signup
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Preview your source immediately. New eligible accounts receive 320 starter credits so a standard first 2× image test can finish before payment.
Upload or link a portrait, choose a factor up to 10×, and Plain Upscaler returns a cleaner, higher resolution result while preserving identity.
Supports JPG, PNG, WebP, HEIC/HEIF up to 40 MB.
Current cost: 60 credits. Adjust the scale to refresh.
Pixel-based billing
Falling back to scale-based pricing: 60 credits.
This estimate
Covered by the 320-credit starter grant
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Similar 2× runs
At least 1 standard test
Upload an image to preview the upscale result here.
A practical image upscaling workflow
Image upscaling is useful when a source file has the right subject and composition but not enough resolution for its next use. Plain Upscaler is built around that decision. It verifies the source dimensions on the server, calculates the projected output size, and shows a credit estimate before generation. You can start with a conservative scale, review the output, and only continue when the result is suitable. The product does not promise to recover every missing detail: AI-generated pixels can change faces, labels, fine patterns, or tiny objects, so high-trust images still need a human review.
Billing is based on source dimensions verified by the server and the requested output scale, not on dimensions supplied by the browser. The estimate appears before the run. The service reserves enough credits for provider failover and reconciles the final amount when the delivered output is smaller than reserved.
Choose 2x or 4x for common web and profile work, or a larger factor when the output dimensions and available credits support it. A larger multiplier creates many more output pixels and can cost substantially more, so the smallest scale that meets the delivery requirement is usually the best starting point.
Transient storage failures are retried with a fresh upload authorization. If a checkout is interrupted, the browser keeps a short-lived recovery link so you can return to the payment step. Payment status is checked only against the signed-in owner, and the original tool context is preserved where the flow can safely restore it.
Completed generations are associated with the account so you can revisit the result and download it again while the file remains available. The history is a review convenience, not a digital asset management system, shared team library, public API, or automated folder-processing product.
A good upscale starts with the best source you can obtain and a clear output requirement. The workflow below avoids spending more credits than the job needs and makes the limitations easier to spot.
Use a clean JPG, PNG, or WebP when possible. A heavily compressed thumbnail gives the model less reliable information than an original export. Files can be uploaded from the browser or supplied through a supported public image URL; private and local network URLs are rejected by the server.
Select a scale and wait for the pixel estimate. Check the expected output megapixels and credit requirement before running. For a web profile, 2x may be enough; a print layout or crop may need 4x or more. Do not choose 10x simply because it is available.
Compare the result with the original at full size. Look closely at eyes, teeth, hairlines, hands, product labels, jewelry, repeating fabric, straight edges, and small text. Download the image only after those details remain accurate enough for the intended use.
The tool is best when the original already communicates the right idea and needs a larger, cleaner delivery file rather than a complete redesign.
Increase resolution for team pages, creator profiles, media kits, and personal sites. Review identity-sensitive features carefully because facial enhancement can introduce plausible but incorrect detail.
Prepare a sharper hero image, catalog crop, ad creative, or social asset from a small supplier file. Confirm that colors, packaging, logos, and label text still match the real item.
Create a larger working file for compositing, wallpapers, thumbnails, or print tests. Organic texture often tolerates reconstruction better than typography, diagrams, or exact geometric marks.
Generate more pixels before placing an image in a poster, presentation, or print draft. Final print suitability still depends on physical dimensions, viewing distance, crop, and the printer's required resolution.
Upscaling predicts detail; it does not retrieve information that was never captured. Use the result as an enhanced derivative and keep the source file available for comparison.
Do not treat reconstructed facial detail as proof of a person's appearance, and do not use it as the sole source for identification, legal evidence, medical imagery, or another high-stakes decision.
The model may invent letter shapes or alter exact lines. Rebuild important typography and vector marks from the original design files instead of expecting an image model to reproduce them precisely.
A very blurred face, blocked product, torn photograph, or missing background may need restoration or manual editing before upscaling. A larger output can make the defect more visible without making it more truthful.
The current customer workflow processes images individually. Credit packs can fund several runs, but the site does not currently promise a public API, watched folders, DAM integration, collaborative approvals, or unattended batch automation.
The required credits depend on projected output pixels and the provider cost needed to complete the job with a contribution-margin safety buffer. That is why the same scale can cost differently for a thumbnail and a large camera file. The estimate shown by the tool is the source of truth for the current run.
New accounts receive a limited, expiring starter grant. It may cover a small first task, but it is not a promise that every image or every scale is free. Subscriptions and one-time packs that cannot meet the margin floor are hidden from new checkout sessions.
Review current plans and credit packsAn uploaded image is sent to managed storage and then to the selected processing provider. That means the workflow is not local-only or confined to your browser. Signed-in generation history is private to the account in the application, but you should still avoid uploading material you are not authorized to process.
Use the privacy policy for the governing data terms and contact support before processing unusually sensitive material. If a run fails, the product records operational status and cost data so credits can be reconciled and reliability can be measured without putting customer email addresses into funnel analytics.
Use cases
Start with old photo restoration, then continue into product photos, portraits, anime art, AI art, or short video upscaling.
Improve scanned family photos, archive images, and damaged prints.
Sharpen catalog, marketplace, and DTC product images before publishing.
Improve profile photos, team portraits, and creator headshots.
Upscale anime, manga, game art, and illustration assets.
Increase resolution for Midjourney, Imagen, Flux, and generated art.
Upscale short clips, creator footage, and generated videos.
Start with one restored photo. Then choose the plan that covers your next set of individually submitted family scans, product shots, or campaign stills — not the lowest advertised price.
Month to month • cancel anytime
Get 600 AI credits per month • for image and video upscaling workflows
Enough for about 5 finished 2× photos
Month to month • cancel anytime
Get 3,000 AI credits per month • for image and video upscaling workflows
Enough for about 25 finished 2× photos
Month to month • cancel anytime
Get 30,000 AI credits per month • for image and video upscaling workflows
Enough for about 250 finished 2× photos
Answers to the Plain Upscaler topics people ask about most
Transform grainy portraits into shareable, identity-safe visuals and keep every stakeholder aligned from day one.
