WebPWebP and JSON

WebP PSNR Calculator

Re-encode a static WebP at a selected quality and calculate genuine RGB PSNR against its decoded source pixels.

Browser LocalNo signupBatch supported
WEBP WORKFLOW05.OPTIMIZE

Choose files to begin.

Measure the mathematical distortion introduced by a deliberate browser re-encode. The tool decodes the selected WebP as its pixel reference, creates a same-size candidate at the requested quality, decodes that candidate, and calculates RGB mean squared error plus peak signal-to-noise ratio.

How to use WebP PSNR Calculator

  1. Choose static WebP files and select the candidate quality to evaluate.
  2. Run the local reference encode and wait while both source and candidate pixels are decoded at identical dimensions.
  3. Review PSNR, MSE, and measured candidate bytes together with a visual preview; download both the candidate and JSON evidence.

What this tool is good at

Genuine decoded-pixel comparison
RGB MSE and PSNR
Candidate file included
Measured size and dimensions

When to use WebP PSNR Calculator

Debug PSNR measurements with evidence

Measure RGB distortion introduced by one deliberate browser re-encode when comparing quality settings for a static delivery copy. Work from the selected WebP's actual bytes, dimensions, or decoded pixels instead of assuming that an extension, filename, or one successful preview proves the underlying implementation.

Prepare a repeatable developer handoff

The result pairs a downloadable candidate with MSE, PSNR, sample count, exact bytes, dimensions, and the selected quality in JSON. Keep the generated asset, report, markup, or command beside a ticket or publishing change so another developer can reproduce the decision and verify the exact inputs.

Keep unreleased assets private

Inspect campaign media, client images, product artwork, and internal fixtures in the current browser tab without creating an image-processing upload or remote conversion job.

How to choose the right settings

01

Match settings to the consuming system

Measure RGB distortion introduced by one deliberate browser re-encode when comparing quality settings for a static delivery copy. Confirm filename conventions, layout widths, codec availability, metadata policy, and quality requirements in the real CMS, build pipeline, browser, or command-line environment.

02

Verify generated output, not only controls

The result pairs a downloadable candidate with MSE, PSNR, sample count, exact bytes, dimensions, and the selected quality in JSON. Open downloaded images, read the complete report, or review generated code before publishing; a convenient default cannot know every repository path, responsive layout, or compatibility rule.

03

Keep the source as the authority

This single-input test does not compare arbitrary files, excludes alpha and color-management effects, cannot measure detail lost before the source, and does not replace perceptual review. Store the untouched WebP until every derivative or integration change has been tested and accepted.

Practical workflow and output details

Source pixels become the decoded reference, the candidate is encoded and decoded at the same dimensions, and squared RGB error is accumulated across every pixel. Processing uses browser APIs, bounded typed-array parsing, Canvas, or local Blob generation. No selected image bytes are submitted to PicConverters for processing.

This single-input test does not compare arbitrary files, excludes alpha and color-management effects, cannot measure detail lost before the source, and does not replace perceptual review. The page states this boundary explicitly so a local convenience tool is not mistaken for a full codec debugger, perceptual quality lab, shell runtime, deployment system, or irreversible source-of-truth editor.

Format behavior and limitations

This single-input workflow compares a new candidate against the selected file's decoded pixels; it is not a two-file arbitrary comparison and cannot measure detail lost before the source was created.

PSNR rewards numerical similarity but does not model all human perception, alpha differences, color-management behavior, or content importance.

Frequently asked questions

Is higher PSNR better?

Higher values indicate lower RGB squared error against this decoded reference, but visual acceptability still needs inspection.

What does Infinity mean?

It means the compared RGB pixel values are identical and MSE is zero.

Does this reveal original encoder quality?

No. It measures a new candidate against decoded source pixels rather than recovering historical settings.

Related WebP tools