Label cleanup

Strip labels off a figure so you can re-annotate it

Panel letters that no longer match the running order, arrows from an earlier version of the argument, a draft watermark, a scale bar that belongs to a different magnification — every one of them has to come off before the figure can be relabeled. Sign in, upload the figure, and pick what to remove, or type the target yourself. Whatever you remove, re-check the figure against its legend afterwards: a caption that still refers to a panel letter you deleted is a new error, not a fixed one.

Přidat referenční obrázekMaximálně 1

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Label cleanup

Five removal targets on one figure

These examples show what each preset removes from one source figure. They illustrate the target each cell addresses — they are not a guarantee that the vacated area will be filled convincingly or that the rest of the figure will come back untouched.

Cleanup workflow

Remove the annotation, then rebuild the mapping it carried

The same figure with the annotation arrows and significance markers removed

Upload the figure you already have

This is an image-to-image tool, so sign in first, then upload one finished figure. The aspect ratio stays automatic so the figure keeps its own framing. Removal works by painting over the vacated area with plausible surrounding content, so it succeeds where the background behind the label is simple and struggles where the label sits on top of dense structure.

Upload one figure at a time
Export at the largest size you have, not a screenshot
Prefer removing from a clean background over dense structure
Keep the original file and the source data

The same figure with the scale bar and its numeric label removed

Pick a target, or type a more specific one

Five cells cover the common cases: every text label with its leader lines; only the panel letters and their badges; a watermark, logo or journal stamp; the annotation arrows, asterisks and significance markers; or the scale bar with its numeric label. In practice the free-text box is used more often than the grid, because most real requests are specific — one logo, one axis title, one set of brackets. What you type replaces the preset target completely, so describe the whole thing you want gone.

Check every label and scientific term
Verify arrows, structures, and causal relationships
Compare the draft with the source data or manuscript

A scientific figure with every text label, caption and leader line removed

Re-check every figure-to-legend reference

Labels are not decoration — they are the mapping between the image and its caption. Once a panel letter, an arrow or a scale bar is gone, every sentence in the legend that pointed at it is now pointing at nothing, and any cross-reference in the running text is broken with it. Go through the legend line by line against the cleaned figure and rebuild the mapping before you use the result. A scale bar in particular carries a measurement claim: if you remove it, the magnification has to be stated somewhere else or the panel no longer supports the size statements made about it.

Read the legend line by line against the cleaned figure
Re-letter the panels and update every in-text cross-reference
If you removed a scale bar, restate the magnification or add a new bar
Confirm that arrows the text still refers to were not removed with the rest

The same figure with only the panel letters and their badges removed

Check what the fill invented

The instruction requires the vacated area to be filled by continuing the surrounding content and everything else to stay pixel-identical, but that fill is generated, not recovered. Where a label sat over a specimen, a curve or a data point, what appears underneath is the model guessing what was hidden — it is not the original content coming back. Inspect the filled regions at full size, and if the fill has produced structure that could be read as data, do not use it: go back to the source file and export a version without the annotation instead.

Zoom to 100% on every area where something was removed
Never accept an invented fill over a specimen, curve or data point
Confirm the remaining labels and numbers are unchanged
Re-export from your source file whenever that option exists

Removing labels is image processing — and it breaks the caption

This tool removes annotation layers; it does not alter, add, or reinterpret your data, and it cannot verify that the underlying numbers are correct. After removing any existing annotation you must re-check the correspondence between the figure and its legend: a caption or an in-text cross-reference that still points at a deleted panel letter, arrow or scale bar is now wrong, and a removed scale bar leaves a measurement claim unsupported unless the magnification is stated elsewhere. The vacated area is filled with generated content rather than with the original pixels, so never accept a fill that lies over a specimen, a curve or a data point. Most journals require any image processing applied to a published figure to be described in the figure legend or methods and the unprocessed original to be retained. Only remove a watermark, logo or copyright mark from material you own or are licensed to use — this tool is not a way to strip attribution from a figure belonging to someone else.

Label cleanup questions

Related tools and guides

Figure Background Cleanup

Move a specimen onto a uniform white, gray or black ground.

AI Figure Editor

Describe a change in one sentence and apply it to an existing figure.

Figure Style Transfer

Redraw figures from mixed sources into one shared visual style.

Journal Figure Resize

Reflow a finished figure into a column, banner, cover or square proportion.

Multi-Panel Figure Maker

Arrange 2–8 panels into one lettered figure, entirely in your browser.

Figure Upscale

Redraw an illustrated figure at 2K or 4K — for diagrams, never for data.

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