n8n Workflow: 2x/4x Image Upscale Batch QA Checks

QC-ready QA checks for 2x/4x image upscaling (batch audit + manifest)

This n8n workflow validates a small batch of images before you upscale to 2x or 4x, calculating expected output dimensions and pixel counts, estimating optional print PPI, and generating a per-file QA checklist plus a single batch audit manifest with capacity risks.

What this workflow does

• Manually starts via an n8n Manual Trigger so you can run QA on demand.
• Loads your batch job input (job name, imagesJson, and planning limits like maxFiles, maxBytesPerFile, and maxOutputPixels).
• Validates each image record: checks for unique filename, supported format, valid dimensions, allowed useCase, and scale values of 2 or 4.
• Calculates planned output for each file—expected output size, total output pixel count, and optional print quality metrics (including print PPI when printWidthInches is provided).
• Flags risks by file, including capacity and print-quality concerns.
• Produces a QA checklist per file to guide visual review.
• Compiles everything into one batch audit manifest with counts, next-step guidance, and your planning limitations.

Use cases

• Before running an image upscaling job for ecommerce or social assets, confirm scale (2x/4x) and output pixel capacity.
• For print or presentation workflows, estimate print PPI to reduce the chance of unusable output.
• For SaaS or operations teams managing batch uploads, generate a consistent audit trail and per-file QA guidance.

Technical details

• Manual execution with a Manual Trigger
• Uses n8n nodes: set, code, and sticky note
• Input: image list in JSON (fileName, format, bytes, width, height, scale, useCase, optional printWidthInches)
• Supports formats: JPG, PNG, WebP

Update the job name, limits (maxFiles, maxBytesPerFile, maxOutputPixels), and your imagesJson list—then run the workflow to decide which files are ready for upscale and which need manual review.