SwiftVideoSR
Hangzhou JupiterShot Technology Co., Ltd. · Video
SwiftVideoSR is a Mac app that upscales and restores images and videos up to 4x with 80+ AI models running locally on Apple M-series chips.
About SwiftVideoSR
What Is SwiftVideoSR
SwiftVideoSR is a video super-resolution app for macOS, built by Hangzhou JupiterShot Technology. It takes low-resolution or degraded footage and rebuilds it at 2x, 3x, or 4x the original size, scaling 540p and 720p clips to 4K and pushing 4K material toward 8K. The same engine handles still images too, so you don't need a separate photo upscaler.
The pitch is speed, not just quality. Because every model runs on your own machine, your files never leave the Mac and there's no upload queue to wait on. On a Mac mini M4 Pro with 24GB of memory, JupiterShot measured 29.23 frames per second when upscaling 1080p video to 4K, which is close to real time. An older Mac mini M1 with 16GB still reached 9.05 frames per second on the same task, so the app stays usable on machines that shipped before the M4 era.
There are real limits. This is Mac-only, and it needs an Apple M-series chip, so anyone on Windows or Intel Macs is out of luck. The app is a free download, but exporting results requires a subscription, and the vendor has only been shipping the product since 2025, so the track record is short compared to long-running desktop suites.
Getting Started
- Download SwiftVideoSR from the Mac App Store, on a Mac with an M-series chip and macOS 15.0 or later
- Launch the app, pick a task type for a single image, a single video, a batch of images, or a batch of videos
- Choose a repair model from the left sidebar and tune the parameters on the right, using the preview window to compare before and after
- Start a free trial of one week, two weeks, or one month to unlock export, then subscribe to keep using it
- Set the output resolution and click Export to write the upscaled file to disk
Product Information
A quick look at SwiftVideoSR's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Self-media bloggers
- Animated content editors
- Film and TV archivists
- Mac owners without cloud access
Tasks
- Batch upscaling a video library
- Enlarging still images
- Restoring blurry or compressed video
- Pushing 4K footage to 8K
- Cleaning up old family or archive video
Scenarios
- A YouTuber revisits a back catalog of 720p videos and republishes them in 4K to freshen the channel
- An editor prepping an old anime series for a remaster needs frame-by-frame detail recovery without a cloud account
- A photographer upscales a batch of low-resolution shots before printing
- A hobbyist with slow internet wants to improve footage without uploading gigabytes to a web service
- A Mac mini M1 owner tests whether a repair job is practical on a slower machine before committing to longer exports
Key features
4x Super-Resolution for Images and Videos
SwiftVideoSR works as both an AI video upscaler and an AI image upscaler, scaling content at original, 2x, 3x, or 4x in one app. That means a single purchase covers photo upscaling and video upscaling, instead of buying two tools. The image side has no maximum size limit when you use block-based repair, while video output is bounded by what your encoder can handle.
80+ Local Repair Models
The app ships more than 80 models trained from scratch by the developer, grouped by content type, so you match the model to your footage rather than hoping one general model works everywhere. Separate model families cover anime and realistic styles, and dedicated sets target movies and TV shows, clear images, and clear videos. Picking the right one matters more than fiddling with sliders.
Realtime Preview and Split-Screen Compare
As you adjust parameters, the preview window shows the repair result live, and a divider slider lets you drag across the frame to compare the original against the output side by side. For video, a time range selector lets you drag the ends to set a clip and scrub to any frame. It turns parameter tuning from guesswork into something you can judge by eye.
Batch Repair for Images and Videos
You can queue whole folders of images or videos and export them in a run, which is the difference between repairing a back catalog and repairing one file. Self-media bloggers are the target here, since the practical use case is cleaning up hundreds of older uploads rather than a single clip.
Fully Offline, Local Processing
This is local video restoration in the strict sense: every model runs on the Mac's GPU and CPU, so your images and videos never get uploaded to a server. That keeps private footage private and removes the wait for a cloud queue. The app also keeps working offline for a week, during which you can export up to 100 images or 100 videos cumulatively, which helps when App Store access is temporarily unavailable.
Anime and Realistic Style Coverage
The model library splits along style lines, so the app doubles as an anime video upscaler for cartoon and drawn footage, with separate models tuned for real-world video. Anime upscaling tends to fail with tools built only around photographic content, so having a separate track for it is the practical reason this matters.
Generative Image Enhance
Beyond classic super-resolution, the app includes a generative enhancement mode that uses a flow-matching model to add detail to images. The vendor is upfront that this mode currently works well on clear images and needs improvement on blurry ones, so treat it as a bonus rather than a fix for badly degraded photos.
Pros and cons
Pros
- Near realtime 1080p to 4K upscaling on an M4 Pro, with older M1 machines still managing around 9 fps
- Local processing keeps private footage off any server and skips cloud upload queues
- One app covers image and video upscaling, including batch jobs and an anime-specific model set
- At $72 per year, it undercuts cloud-based and desktop alternatives that charge several times more
- The free download lets you import footage and preview results before paying
Cons
- Mac-only and limited to Apple M-series chips, so Windows and Intel Mac users can't run it
- Export is locked behind a subscription, so the app is only useful once you pay
- The generative enhancement mode is uneven on blurry images, which the developer acknowledges
- The product launched in 2025, so there's little long-term track record to lean on
Frequently asked questions
SwiftVideoSR is a macOS app from Hangzhou JupiterShot Technology that upscales and restores images and videos at 2x, 3x, or 4x using AI models that run on your own Mac. It targets degraded or low-resolution footage, such as 540p and 720p clips, and can scale video up toward 8K.
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