Process hundreds of files at once
Whether you have 10 images or 10,000, UpscaleNow's batch engine handles them all in parallel — delivering the same quality at any scale with no bottleneck.
100 files
per batch
Parallel
GPU processing
API + UI
access
Infrastructure
Built for scale
Parallel GPU Processing
Files are not queued sequentially — they are distributed across our GPU cluster and processed simultaneously. A batch of 100 images takes roughly the same time as a batch of 10.
Priority Queue
Business plan subscribers get dedicated GPU lanes that are never shared with the general queue. Your SLA is guaranteed even during peak processing windows.
Webhook Notifications
Register a webhook URL and receive a POST request the moment each file — or the entire batch — completes. Signed payloads include the download URL and full processing metadata.
Workflow
How batch processing works
01
Upload files
Drag and drop up to 100 files into the batch upload zone, or make a single API call with an array of file URLs or base64-encoded payloads.
02
Set parameters
Choose your upscaling mode (Precision or Creative), target scale factor (2×, 4×, or 8×), and output format. Settings apply to the entire batch but can be overridden per file via the API.
03
Process
Our GPU cluster picks up all files simultaneously and starts processing. Watch real-time progress in the dashboard or poll the batch status endpoint.
04
Download
Grab a single ZIP archive containing all output files, or receive individual signed download URLs via webhook as each file completes. URLs stay valid for 48 hours.
Batch processing available on Pro plan and above
The free tier supports single-file processing so you can evaluate quality before upgrading. Pro unlocks batches of up to 100 files. Business plan users get priority queue access and a dedicated API rate limit of 10,000 images per day.
View pricing →Start batch processing
Get started for free, explore the API, and upgrade when you're ready to run at scale.
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