FigureLabs Illustration vs. Flowchart vs. Plot: Which Tool Fits Your Figure?

Updated

FigureLabs splits its figure generation into three tools — Illustration, Flowchart, and Plot — and the right one depends on what you're starting from. If you have text, a sketch, or a lab photo and need a conceptual graphic, use Illustration. If you need a process diagram with editable boxes and arrows (like a PRISMA flow or a signaling pathway), use Flowchart. If you already have data or statistical results, use Plot. All three share the same canvas, editing, and export pipeline, so the choice is about input type and output structure, not about which tool is "better."

The three tools at a glance

Tool Best input Typical output What makes it different
Illustration Text prompts, sketches, lab photos, reference figures Publication-ready scientific illustrations (e.g., graphical abstracts, signaling pathways) Turns unstructured or visual input into a drawn figure
Flowchart Descriptions of steps, decisions, or study design Fully editable, vector-based flowcharts for papers or grant proposals Every element stays editable as a vector object
Plot Raw data, Excel files, statistical results Polished plots (e.g., bar plots) Built for data-driven charts rather than drawn concepts

The site's own examples — Graphical Abstract, Signaling Pathway, PRISMA, Bar Plot — map cleanly onto this split: the first two are Illustration territory, PRISMA is a Flowchart, and Bar Plot is a Plot.

How to choose

Pick Illustration when…

  • You're starting from a written description, a rough sketch, or a photo of a lab setup.
  • You need a graphical abstract, a signaling pathway schematic, or a conceptual figure that doesn't exist as data yet.
  • You want the AI to interpret messy input (text, sketches, lab photos, PDFs, reference figures) and produce a drawn result.

Pick Flowchart when…

  • Your figure is fundamentally a sequence: study selection, experimental workflow, decision logic, or a grant-proposal process diagram.
  • You need to edit every box, arrow, and label afterward — the output is vector-based, so nothing is locked into a flat image.
  • Reviewers or collaborators will ask for structural changes (adding a branch, renaming a step), which is easier on a vector flowchart than on a rendered illustration.

Pick Plot when…

  • You already have raw data, an Excel file, or statistical results.
  • You need a bar plot or similar data chart that must look polished and consistent with the rest of your paper.
  • You want to refine details through AI chat rather than redraw the chart from scratch.

What all three share

The tool choice only affects generation. Everything after that is common across Illustration, Flowchart, and Plot:

  • Input flexibility. You can upload text, sketches, lab photos, Excel files, PDFs, or reference figures — the platform states it understands all of these.
  • Generation options. You choose an AI agent, model, or visual style, and can produce illustrations, flowcharts, plots, and posters.
  • Editing on an infinite canvas. Redraw selected areas, edit text, recolor, remove backgrounds, or upscale.
  • Export formats. Editable PPTX or SVG, high-resolution PNG or JPG, or a shareable collaboration link.
  • Visual Consistency. Lock icons, arrows, fonts, and style so every figure in your paper matches.
  • Collaboration. Invite collaborators to comment and suggest on the canvas in real time.
  • Authorization Certificate. Download a verifiable PDF certificate with a unique ID.

Because editing and export are identical, you can start in one tool and still end up with a consistent figure set — the constraint is just that a data chart belongs in Plot and a process diagram belongs in Flowchart.

A practical decision sequence

  1. What do you have? Data or statistics → Plot. A process or sequence → Flowchart. A concept, sketch, or photo → Illustration.
  2. How much post-editing will you do? If you need to restructure elements repeatedly, Flowchart's vector output is the safer bet. If you're mainly adjusting appearance, any tool works.
  3. Will it sit next to other figures? Use Visual Consistency to lock fonts, arrows, and icons across whichever tools you used.
  4. Who else needs to touch it? If co-authors will comment, generate first, then share the canvas link.

Common sticking points

  • Trying to force data into Illustration. If your figure is a bar plot or derived from statistical results, Plot is the intended path — Illustration is for drawn concepts.
  • Expecting a flowchart to stay flat. Flowchart output is explicitly vector-based and fully editable, so plan for element-level edits rather than treating it as a final image.
  • Assuming export locks you in. All three tools export to editable PPTX and SVG as well as PNG/JPG, so you can keep refining outside the platform.

If you're still unsure, the fastest test is to match your input to the table above: text/sketch/photo → Illustration, steps/decisions → Flowchart, data → Plot.