Wrong label
The whole image is regenerated because the text is baked into the picture.
SciNest generates diagrams and images with editable layers — text labels, shapes, arrows and regions stay independently accessible after generation. Unlike pixel-based AI generators like DALL-E or Midjourney where every element is fused into one flat image, SciNest lets you change a label, move an element or revise a selected area without regenerating the entire visual. Export and reuse across projects.
AI-GENERATED · LAYERED · STILL EDITABLE
Generate the figure.
Keep control of every layer.
Drag elements, rewrite labels and regenerate only the selected area. SciNest keeps text and supported visual elements editable instead of locking the entire scientific figure into one image.
✓ Layer drag and reorder✓ Selected-area AI regeneration✓ Editable text✓ No image-model text garbling
Windows desktop · Bring your own AI key · Project files stay local by default
SCINEST FIGURE WORKSPACELayers · Text · AI selection
01Drag separate layers
02Edit text directly
03Regenerate selected area
LayersMove and reorder supported elements
SelectionRegenerate only the weak region
TextRewrite labels without redrawing the image
ControlKeep confirmed areas unchanged
THE FLATTENED-IMAGE PROBLEM
A beautiful figure stops being useful the moment one small detail changes.
Most AI image workflows treat every correction as a reason to redraw the whole image.
Wrong arrow
A small relationship change forces another full redraw.
One weak area
A single bad region destroys an otherwise usable figure.
No layer control
Objects cannot be moved, reordered or reused independently.
SEPARATE ELEMENTS, NOT ONE LOCKED IMAGE
Select one element. Correct only that element.
The figure workspace keeps supported visual elements selectable after generation, so one weak part does not force a complete redraw.
- Select an individual visual element on the canvas.
- Describe the correction in the layer-specific AI panel.
- Keep the surrounding scientific composition in place.
- Continue refining the figure instead of starting again.
AI WHERE YOU NEED IT
Regenerate the weak area—not the entire figure.
The page explains the current selection workflow without presenting a simulated before-and-after image as product proof. A real paired screenshot will replace this explanation when the same region is captured before and after regeneration.
Select the weak region
Choose the specific element or bounded area that needs correction inside the figure workspace.
Describe the change
Give the selected layer or region a focused correction instruction instead of restarting the whole figure.
Preserve confirmed work
Keep the surrounding composition and approved scientific relationships unchanged while revising the selected part.
TEXT IS TEXT, NOT PIXELS
Edit the labels directly. Do not ask an image model to spell them again.
SciNest separates editable labels from the generated visual layer, avoiding the common problem of distorted or unreadable lettering inside AI images.
A spelling correction should not redraw the science.
When text is painted into an AI image, correcting one scientific term can introduce new errors across the figure.
- Select the label as its own object.
- Rewrite terminology without rebuilding the visual.
- Keep scientific names readable and under your control.
MATERIALS STILL MATTER
The editing advantage starts with a figure built from the right research context.
Choose the paper, methods, notes, data and reference images that belong to the current figure task.
Selected materials
PDF · Methods chapterDOCX · Figure requirementsPNG · Approved reference styleXLSX · Results table→
Editable figure artifact
- Layer structure
- Editable labels
- Selected-area regeneration
- Reusable project asset
ONE CONTROLLED WORKFLOW
Generate once. Correct precisely. Keep the result usable.
Add the research material
Bring in the paper, methods, notes, reference images and figure requirements.
Generate the first figure
SciNest creates the visual structure and separates supported elements into editable layers.
Drag and reorganise
Move objects, change layer order and repair the visual hierarchy without redrawing everything.
Edit labels directly
Rewrite titles, labels and annotations as normal text without asking an image model to redraw letters.
Regenerate only the weak part
Select a region, regenerate it with AI and preserve the parts already approved.
FAQ
What “editable scientific figure” means in practice.
Are the generated figures flattened images?+
No. Supported figure elements are kept as separate editable layers so you can move, reorder and revise them.
Can I change labels after generation?+
Yes. Labels are editable text objects rather than text painted permanently into the image.
Why does this avoid garbled text?+
SciNest separates text from AI-generated visual content. Labels are rendered as editable text, so they are not dependent on an image model drawing letters correctly.
Can I regenerate only one part of the figure?+
Yes. Select the area or element that needs work and regenerate that part without discarding the confirmed sections.
Can I drag and rearrange elements?+
Yes. Supported layers can be selected, moved and reordered inside the figure workspace.
Can I reuse the figure in a presentation?+
Yes. Figures remain project assets and can be reused in supported presentation workflows.
Do not regenerate the whole figure because one label or one region is wrong.
Generate a layered scientific figure, move the elements, edit the text and use AI only on the part that needs changing.
Generate an editable scientific figure ↗