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How to optimize 50 images for the Web at once

Resize a batch of images, convert them to WebP and remove metadata with one reusable Pipeline.

Published 6 September 2026Reading : 2 minBy Bethemesh Team
Beginner
Show contents
  1. Resize before conversion
  2. Convert the batch to WebP
  3. Remove unnecessary metadata
  4. The real benefit is batch processing
  5. Check before publishing
  6. FAQ
  7. Why use WebP?
  8. Should I delete the originals?
  9. Can I really process 50 images?

Preparing one image for the Web is quick. Repeating the same operations across 20, 50 or 100 files is not. A batch workflow lets you resize, convert and clean a whole set without processing every image separately.

The Bethemesh template chains: import multiple images → resize → convert to WebP → remove metadata → batch download.

Open this ready-to-use Pipeline

Resize before conversion

A photo several thousand pixels wide is rarely necessary when it will be displayed in a much smaller area. Reducing dimensions first avoids carrying unnecessary pixels and can significantly reduce final file size.

Choose dimensions that match the real use: thumbnail, article illustration, product image or full-width visual. Avoid artificially enlarging small sources.

Convert the batch to WebP

WebP is widely supported by modern browsers and often provides a good quality-to-size ratio for Web delivery. The Pipeline applies the conversion to the whole batch instead of making you repeat it file by file.

Keep your originals when you may need another format, a print asset or a different export later.

Remove unnecessary metadata

Images can contain metadata that is not needed for publication. Removing it creates cleaner delivery files and avoids retaining some information attached to the originals. Keep archival originals when that metadata matters to your workflow.

The real benefit is batch processing

Select the files once, apply the same recipe and retrieve the outputs together. Compatible transformations run locally in the browser. Very large batches or high-resolution photos may hit your device’s memory limits, in which case splitting the job into smaller groups is sensible.

Check before publishing

Review a few representative outputs for dimensions, sharpness, transparency where required and final size. Good Web optimization balances visual quality and weight rather than chasing the smallest possible file.

Optimize my image batch

FAQ

Why use WebP?

Modern browsers support it well, and it often provides efficient files for Web images.

Should I delete the originals?

No. Keep them if you may need another size, format or the original metadata.

Can I really process 50 images?

Yes, provided their size and your device’s available memory allow it. Because processing is local, very large source images may be better handled in several batches.

Collection

Mastering the Workspace and pipelines

  1. 01Discover Bethemesh: Tools, Workspace and Pipelines
  2. 02Modules, resources, and compatibility
  3. 03Save time with favorites and templates
  4. 04Understand the Workspace
  5. 05Workspace: A new way to transform your data
  6. 06Create your first pipeline
  7. 07Reuse a pipeline
  8. 08Create your first workflow in the Bethemesh Workspace
  9. 09Is local browser processing replacing traditional online tools?
  10. 10More than 200 tools: why Bethemesh is focusing on composable tools
  11. 11How to optimize 50 images for the Web at once
  12. 12How to clean and OCR a scanned PDF
ReferenceConcepts and technologiesBeginner

Why Bethemesh is Local First

Learn what local processing means and why your files remain in your browser.

27 July 20264 minRead
GuideConcepts and technologiesBeginner

Create your first pipeline

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