How can manufacturers increase image resolution without reshooting?
Manufacturers increase image resolution without reshooting by using AI upscaling to enhance existing product images. This process increases pixel density and sharpness while preserving edges, materials, and fine details, allowing low- or mid-resolution images to be reused for ecommerce, marketing, and print applications.
Updated January 28, 2026
Key Points
- AI upscaling increases resolution without new photography
- Product details, edges, and materials are preserved during enhancement
- Existing images can be reused across ecommerce, marketing, and print
- Multiple resolutions can be generated from a single source image
- Upscaling removes the need to re-shoot older or supplier-provided assets
Comparison
| Original Image Only | AI Upscaled Image | |
|---|---|---|
| Resolution | Fixed | Increased (up to print-ready) |
| Image clarity | Limited by source | Enhanced detail and sharpness |
| Reusability | Channel-restricted | Multi-channel ready |
| Reshoot required | Often necessary | Not required |
| Catalogue coverage | Inconsistent | Standardised across assets |
Best Practice Workflow
- 1
Start with the best available source image
Upload the highest quality image you have, even if it is below your current resolution requirements.
- 2
Select the upscaling workflow
Choose the upscaling tool to increase resolution while maintaining product detail and edge accuracy.
- 3
Set the target resolution
Define the required output size based on use case, such as ecommerce zoom, marketing assets, or print production.
- 4
Generate the enhanced image
Run the upscaling process and allow the system to reconstruct fine details and textures.
- 5
Review and deploy
Inspect the output for sharpness and accuracy, then save or export the image for reuse across channels.
See the Workflow in Action
This video shows how existing product images are upscaled to higher resolutions while preserving detail and visual accuracy.
Common Mistakes to Avoid
- Upscaling extremely low-quality images that lack usable detail
- Applying upscaling after heavy compression or resizing
- Using higher resolution than required for the intended channel
- Skipping visual review before deploying images to print or ecommerce
- Assuming upscaling can correct fundamentally inaccurate source images
Related Questions
Can AI upscaling be used for print-quality images?
Yes. AI upscaling can increase resolution to print-ready levels (300 DPI at required dimensions) while preserving product detail and sharpness.
Will upscaling change the appearance of materials or finishes?
No. The upscaling process is designed to enhance detail without altering the visual characteristics of materials, finishes, or colours.
What resolution should I use for ecommerce versus print?
Ecommerce typically requires 1000–2000px on the longest edge. Print requires 300 DPI at the final output size, often 3000px or higher depending on format.
Can entire image libraries be upscaled in bulk?
Yes. Batch upscaling workflows allow you to process entire catalogues or asset libraries in a single operation for consistent quality across all images.
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