AI Upscaler raises the resolution of stills and footage in the browser, with one-click enhancement, frame-by-frame video upscaling to 4K, deblurring and old-photo restoration on a credit meter.
Used this tool? Rate it
Used this tool? Rate it
AI Upscaler is a browser-based image and video enhancement service that raises resolution, recovers detail and sharpens soft footage without any local installation. Nothing is installed locally; the whole pipeline is reached from a browser tab, and the same account handles both still images and video files.
The product presents itself as five named entry points — AI Video Upscaler, AI Photo Enhancer, Unblur Image, Image Sharpener and Old Photo Restoration — but they share one upload, one processing queue and one credit balance. Choosing an entry point is closer to choosing an intent than choosing a separate application.
Two facts shape almost every decision about this tool. First, work is metered in credits rather than sold as unlimited processing, and the meter is sensitive to output resolution. Second, per-tier prices are not visible to anonymous visitors, so the cost side of the comparison has to be assembled from the credit rules and the free allowance rather than from a published price table.
The enhancement flow is deliberately closed. There is no masking step, no brush, no region selection: the model decides what to reconstruct across the whole frame. That removes the skill floor that desktop retouching tools impose, and it also removes the escape hatch when the model gets a region wrong.
Video enhancement runs frame by frame rather than as a single pass over the file, which is what allows the tool to lift resolution while keeping motion coherent across the sequence. The output targets are HD and 4K, and the per-frame approach is also why the option to upscale video to 4K is priced against duration instead of against file count.
The image side is not one generic "make it better" model. Each entry point corresponds to a different defect:
The distinction matters in practice, because a soft photograph and a scratched print need opposite treatments: one needs edge reconstruction, the other needs damage inpainting plus colour recovery.
Input support spans JPG, JPEG, PNG, BMP, WEBP, TIFF and HEIC on the image side, and MP4, MOV and M4V on the video side. HEIC coverage is the one worth noting for anyone working directly from an iPhone camera roll, since it removes a conversion step that many browser tools still require.
The video workflow is published as three steps: upload the file, pick a target resolution, press Generate, and download the finished file once processing ends. Nothing is queued for manual review and no project file is created.
Resolution is not a cosmetic choice here — it is the price lever. Because 4K video costs twice as much per second as HD, deciding the delivery format before processing is the single most effective way to control spend. A clip destined for a social feed almost never needs a 4K master, and processing it at HD halves the credit cost of the same source.
A ten-minute cap on video is short relative to typical source material, which pushes long footage toward a segment-and-rejoin workflow: cut the source into passages under the limit, process each one, then reassemble outside the tool. That is workable but it introduces a real risk, since each segment is enhanced independently and there is no guarantee that grain and colour treatment will match perfectly across a cut.
Running an upscale on a photograph whose real problem is motion blur wastes credits without fixing anything — enlarging a blurred frame produces a larger blurred frame. Identifying the dominant defect first, then selecting the matching entry point, is what separates a productive session from an expensive one.
The published scenarios cluster into four groups that map cleanly onto the feature set:
This tool suits people who need a competent result quickly and are not equipped, or not inclined, to run a desktop retouching pipeline. The absence of masking and manual selection is exactly what makes it approachable for that group.
It fits well when:
It fits poorly when:
The decision is driven by usage rhythm, not by volume alone. Steady weekly work favours the subscription, since the allowance refreshes. Sporadic work — a single archive project, one seasonal product shoot — favours pay-as-you-go, because those credits survive the gaps between projects.
Access is web-only. Every capability is reached through the same browser session, and the five named entry points are views onto one processing pipeline rather than separate applications. There is no published desktop application, no mobile app and no public API, which means the tool cannot be scripted into an automated pipeline.
The browser is the only client, so nothing is installed locally; the whole pipeline is reached from a browser tab. Processing happens on the provider's infrastructure rather than on the visitor's device. The privacy policy names AWS and Google Cloud as hosting providers, Stripe and PayPal for payments, Google Analytics for measurement, and Zendesk-class tooling for support contact. Practically, that means an upload leaves your machine before any enhancement begins.
Credit consumption is metered by output type rather than by a flat per-job charge, and the two purchase routes differ mainly in whether the balance expires. Access is structured in three layers: a free daily allowance, a PRO subscription, and one-off credit purchases.
The free layer grants a limited number of free uses each day, and going past that ceiling means either upgrading to PRO or buying credits outright. Beyond that point everything is metered:
| Output | Credit cost |
|---|---|
| Still image | 2 credits per image |
| Video at 1X or HD | 1 credit per 2 seconds |
| Video at 4K | 1 credit per second |
The two paid routes differ in one structural way. PRO credits stay valid only for the length of the subscription period, whereas pay-as-you-go credits never expire — so an unused subscription balance is lost at renewal, while a purchased balance is not.
Trial and refund terms tighten the picture further. Where a plan includes one, the three-day trial converts to a paid subscription automatically unless it is cancelled before the window closes, and the full plan allowance is granted at that moment. Refunds are not offered on pay-as-you-go purchases at all; subscription refunds are considered only in narrow situations — unresolvable hardware incompatibility, other major technical faults, mistaken purchases needing a swap, duplicate charges caused by platform error, and accounts that support cannot activate. Cancellation itself is unrestricted: a cancelled plan stays live until the next billing date, and the control sits under the profile menu in Settings.
One gap is worth stating plainly rather than filling with an estimate: the plan cards on the pricing page render from a subscription endpoint that an anonymous session cannot reach, so no tier amount is publicly readable — this write-up therefore describes the plan structure and the credit mechanics, but does not quote a monthly figure, because none was retrievable without an account.
The upload ceilings are the boundary most likely to interrupt a real job: images are capped at 20MB, and video is capped at both 300MB and ten minutes of runtime. The video cap binds twice — a short clip at high bitrate can exceed 300MB well before it approaches ten minutes.
Output predictability is the second boundary, and it is acknowledged on the vendor's own pricing page rather than inferred: the same source can come back differently between runs, and a visibly flawed frame has no parameter to correct it. Combined with the no-refund rule on pay-as-you-go credits, that means a disappointing result consumes the credit regardless of the outcome.
The service is supplied on an as-is basis with no guarantee of uninterrupted availability or absolute security, and the provider reserves the right to modify or discontinue it. For anything on a delivery deadline, that argues for processing early rather than at the last moment.
Two documentation inconsistencies deserve mention, because they affect how much weight the legal pages can carry. The terms of use and privacy policy describe a photo-editing and design platform with outfit swapping and drag-and-drop templates, capabilities the product itself does not expose, and both pages still carry a browser title referencing a watermark-removal product. Separately, the homepage FAQ grants commercial use of generated output while the terms of use state that AI-generated assets provided within the service remain the property of the operator. These two statements are not reconciled anywhere on the site, and anyone relying on broad commercial rights should treat that as an open question rather than a settled permission.
Two further boundaries sit outside the processing pipeline but still shape adoption. The service is not designed for children under 13, and the operator states it does not knowingly collect data from minors — relevant for classroom or family-archive deployments where a shared account might otherwise seem convenient.
Uploaded images, prompts and generated outputs are all classified as user content under the privacy policy, so the material you enhance is covered by the same retention rules as the rest of your account. The data footprint is also broader than the uploads themselves. Account details, technical information such as IP address and activity logs, and cookie data are collected alongside the media, and processing is distributed across named third parties: AWS and Google Cloud for hosting, Stripe and PayPal for payments, Google Analytics for measurement. EU users can request access, correction, erasure and portability, withdraw consent and complain to a supervisory authority; California users can request access, deletion and correction, and the operator states that it does not sell personal data.
Finally, advertising cookies are used to build interest-based profiles for third-party ad partners, managed through the consent banner or browser settings.
Images are capped at 20MB. Video is subject to two simultaneous limits: 300MB of file size and ten minutes of runtime, whichever is reached first.
A still image costs 2 credits. Video at 1X or HD costs 1 credit for every 2 seconds, while 4K output costs 1 credit per second — so the same clip costs twice as much at 4K as at HD.
It depends on how they were acquired. A subscription balance is tied to the billing period, while a balance you bought outright has no expiry attached.
Seven image formats — JPG, JPEG, PNG, BMP, WEBP, TIFF, HEIC — and three video containers, namely MP4, MOV and M4V.
The homepage FAQ grants commercial use across storefronts, campaign assets and social posts. Note that the terms of use separately assert operator ownership of AI-generated assets provided within the service, and the two statements are not reconciled on the site.
Where a plan offers one, billing starts automatically at the end of the three-day window unless you cancel first, and the plan's full credit allowance is issued at that same moment.
Not through a general refund path. Pay-as-you-go purchases are excluded from refunds entirely, and subscription refunds are limited to a short list of technical and billing faults. Quality complaints are routed to support and assessed individually.
Uploaded images, prompts and generated outputs are all classified as user content under the privacy policy. Account data is kept until deletion or inactivity, billing records are held for as long as seven years and system logs for up to twelve months. The operator states that it does not sell personal data.
