figurelabs.ai

FigureLabs has a dedicated pricing page at figurelabs.ai/pricing, but the information available here does not list plan tiers, prices, or a free tier. The site's public pages describe the product as an AI scientific figure generator with text-to-figure, image-to-figure, and vectorization tools, and note it is "trusted by 600K+ researchers." If you need exact costs, open the pricing page directly — that is the only authoritative source, and nothing in the available material confirms whether access is free, paid, or gated behind login.

What the site confirms about the product

From the homepage evidence, FigureLabs positions itself as "Your AI Scientific Illustrator" for creating publication-ready illustrations, flowcharts, and plots. The workflow is described in four steps:

1. Input — upload text, sketches, lab photos, Excel files, PDFs, or reference figures.
2. Generate — choose an AI agent, model, or visual style to produce illustrations, flowcharts, plots, and posters.
3. Edit — refine on an infinite canvas: redraw selected areas, edit text, recolor, remove backgrounds, upscale.
4. Export — editable PPTX or SVG, high-resolution PNG or JPG, or a shareable collaboration link.

Additional features listed include visual consistency locking (icons, arrows, fonts, style), real-time collaborator comments, and a downloadable authorization certificate with a unique ID.

What is not stated about pricing

A pricing page exists, which signals that cost information is published somewhere on the site — but the excerpt here does not include its contents. Do not assume free access from the absence of prices, and do not assume paid access either.

What to check before choosing a plan

Because the pricing details are not visible in this material, verify these points on the pricing page itself:

• Export formats by tier. Editable PPTX and SVG are the formats most relevant for journal submission and grant proposals. Confirm they are included in the tier you are considering, since export rights are a common dividing line between plans.
• Resolution limits. The site advertises high-resolution PNG/JPG. Check whether resolution caps or upscaling are restricted by plan.
• Collaboration seats. Real-time commenting is listed as a feature; confirm how many collaborators a plan allows if you work in a group.
• Commercial and publication rights. The authorization certificate suggests publication use is intended, but confirm the license terms attached to your plan.
• Agent and model access. The generate step mentions choosing an AI agent or model. If certain models are premium, that may affect which plan you need.

A practical way to decide

If your goal is a single figure for a paper, start by testing the input-to-export path with your own material — a sketch or a dataset — and confirm the exported file opens cleanly in PowerPoint or a vector editor. If your goal is a full manuscript or grant with multiple figures, the visual consistency feature and collaboration tools matter more, so check whether those are bundled or sold separately. In both cases, the pricing page is the deciding document; the product pages tell you what the tool does, not what it costs.

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

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.

FigureLabs is an AI scientific figure generator that converts text, sketches, lab photos, Excel files, PDFs, or reference figures into publication-ready illustrations, flowcharts, and plots. The workflow has four stages — Input, Generate, Edit, Export — and the output can be exported as editable PPTX or SVG, high-resolution PNG or JPG, or shared via link. It suits researchers who need journal- or grant-ready visuals but want to keep them editable rather than locked in a flat image.

What you can feed in

The Input stage accepts a wide range of source material, so you don't need to start from a clean description:

• Text — a written description of the figure you want
• Sketches — rough hand-drawn layouts
• Lab photos — images of experimental setups or results
• Excel — spreadsheet data for plots
• PDFs — documents containing figures or data to work from
• Reference figures — existing figures whose style or structure you want to follow

According to FigureLabs, the system "understands them all," meaning you can mix formats depending on what you already have on hand.

Generating the figure

At the Generate stage you choose how the figure gets produced:

1. Pick an AI agent — FigureLabs supports agent-based workflows, including an integration path for ChatGPT and Codex (the site points to a GitHub AGENTS.md file for installing the Codex plugin and running its default connection prompt).
2. Pick a model or visual style — the style selection shapes the look of the output.
3. Choose the figure type — Illustration, Flowchart, or Plot, each with its own starting point.

The three figure types map to common research needs:

Editing on the infinite canvas

Once generated, figures land on an infinite canvas where you refine them. Available edits include:

• Redraw selected areas — fix a specific region without regenerating everything
• Edit text — correct labels and annotations directly
• Recolor — adjust colors to match journal or institutional style
• Remove backgrounds — clean up images for compositing
• Upscale — increase resolution for print

For plots specifically, you can "refine every detail with AI chat," so adjustments can be described in natural language rather than done manually.

Two supporting features matter if you're producing multiple figures:

• Visual Consistency — lock icons, arrows, fonts, and style so every figure in a paper matches.
• Work Together — invite collaborators to comment and suggest on the canvas in real time.

Exporting and sharing

The Export stage gives you format choices depending on downstream use:

• PPTX or SVG — fully editable, useful when a journal, co-author, or presenter needs to modify elements
• PNG or JPG — high-resolution raster output for submission or slides
• Share link — for collaboration rather than file transfer

FigureLabs also offers an Authorization Certificate: a verifiable PDF with a unique ID, which can serve as proof of creation.

A practical walkthrough

Suppose you need a graphical abstract for a signaling pathway paper:

1. Upload a rough sketch of the pathway plus a short text description.
2. Select Illustration as the figure type and choose a visual style.
3. Generate, then on the canvas redraw the arrow connections, edit the protein labels, and recolor to match your journal's palette.
4. Lock the icon and font style so your other figures stay consistent.
5. Export as SVG for your co-author and PNG for submission.

The same four-stage flow applies whether you're building a PRISMA flowchart from a PDF or a bar plot from an Excel sheet — only the input and figure type change.

What to check before relying on it

• Pricing and account requirements aren't specified in the available page content, so confirm current terms on the pricing page before committing.
• Agent integrations (ChatGPT, Codex) involve setup steps outside the main app — the Codex path requires following the linked GitHub instructions.
• Editability varies by export format: PPTX and SVG preserve editable elements; PNG and JPG do not.

If your goal is a figure you can hand to a co-author or journal in an editable format, the PPTX/SVG export path is the one that matters most. If you only need a final image, PNG/JPG is sufficient.

FigureLabs is an AI scientific figure generator built for researchers. You describe or upload the figure you need, and it produces publication-ready illustrations, flowcharts, and plots that you can refine on a canvas and export as editable PPTX/SVG or high-resolution PNG/JPG. It fits researchers who need to turn text, sketches, lab photos, Excel files, PDFs, or reference figures into figures for papers, grant proposals, or posters — and who want editable output rather than a flat image.

Core capabilities

FigureLabs organizes its tools around three figure types:

• Illustration — turns text or sketches into publication-ready scientific illustrations. Examples on the site include graphical abstracts and signaling pathways.
• Flowchart — creates fully editable, vector-based flowcharts for papers or grant proposals, with every element editable.
• Plot — transforms raw data and statistical results into polished plots, refinable through AI chat. A bar plot is one shown example.

The site also lists posters as a generation output. The underlying approach is text-to-figure and image-to-figure, with vectorization implied by the editable SVG/PPTX exports.

How the workflow runs

The site describes four steps:

1. Input — upload text, sketches, lab photos, Excel, PDFs, or reference figures.
2. Generate — choose an AI agent, model, or visual style to create illustrations, flowcharts, plots, and posters.
3. Edit — refine on an infinite canvas: redraw selected areas, edit text, recolor, remove backgrounds, or upscale.
4. Export — editable PPTX or SVG, high-resolution PNG or JPG, or a shareable collaboration link.

The practical value of step 3 is that you are not locked into the first generation. You can fix a mislabeled arrow or recolor a pathway without starting over.

Export formats and what they are for

If your target journal or co-authors require editable source files, PPTX and SVG are the relevant options. If you only need a final image, PNG/JPG covers it.

Collaboration and consistency features

Beyond figure generation, FigureLabs provides:

• Visual Consistency — lock icons, arrows, fonts, and style so every figure in a paper matches.
• Work Together — invite collaborators to comment and suggest on the canvas in real time.
• Authorization Certificate — download a verifiable PDF certificate with a unique ID.

The consistency lock matters most when a paper has several figures that must look like they came from one hand.

Who it is for

The site states it is trusted by 600K+ researchers from leading institutions. It is aimed at researchers producing figures for:

• Journal papers (illustrations, flowcharts, plots)
• Grant proposals (flowcharts, graphical abstracts)
• Posters and presentations

What to check before committing

• Pricing and account requirements — the site has a pricing page, but specific plan details and any login limits are not covered here. Check the pricing page directly for current terms.
• Agent integrations — the site references using FigureLabs Canvas and entering prompts in ChatGPT or Claude, plus a Codex setup via a GitHub AGENTS.md file. If you work inside those tools, verify the current install steps there.
• Preview status — several figure previews are marked "coming soon," so confirm the specific figure type you need is live before relying on it.

If your need is editable, publication-ready scientific figures generated from text or existing materials, FigureLabs is designed for exactly that. Start by testing one figure type — an illustration or a flowchart — through the full input-to-export cycle to see whether the edit and export quality meets your target venue's requirements.

Yes. FigureLabs is built around publication use: it exports editable PPTX and SVG files for post-generation changes, high-resolution PNG/JPG for submission, and adds a Visual Consistency lock plus a verifiable authorization certificate for journal and collaboration workflows. The practical question is which export and feature to use at each stage, which this guide walks through.

What "publication-ready" means here

FigureLabs describes its output as publication-ready scientific figures, and the export options are the concrete part of that claim:

If a journal requires vector art or your co-authors need to move elements, PPTX or SVG is the right target. If the journal only wants a flat high-resolution image, PNG/JPG is enough.

Editing after generation

FigureLabs does not lock you into the AI's first pass. The workflow is four steps:

1. Input — upload text, sketches, lab photos, Excel, PDFs, or reference figures.
2. Generate — pick an AI agent, model, or visual style to produce illustrations, flowcharts, plots, or posters.
3. Edit — refine on an infinite canvas: redraw selected areas, edit text, recolor, remove backgrounds, upscale.
4. Export — PPTX, SVG, PNG, JPG, or a share link.

The edit stage is where journal-fit issues get fixed: relabeling axes, matching a journal's color conventions, or resizing a panel. Because PPTX and SVG stay editable, you can also finish the job in PowerPoint, Illustrator, or Inkscape rather than only inside FigureLabs.

Keeping figures consistent across a paper

A common rejection-adjacent problem is figures that look like they came from different papers — mismatched icons, arrows, fonts, and line styles. FigureLabs' Visual Consistency feature locks icons, arrows, fonts, and style so every figure in the same manuscript stays visually uniform. Use it when you are generating more than one figure for the same submission, or when several co-authors are each producing panels.

Collaboration and proof of authorization

Two features matter for multi-author papers and for journals that ask about AI-assisted figures:

• Work Together — invite collaborators to comment and suggest on the canvas in real time, so feedback happens on the figure itself rather than in email threads.
• Authorization Certificate — download a verifiable PDF certificate with a unique ID. This is the artifact to keep if a publisher asks you to document how a figure was produced.

A realistic workflow

For a paper with three figures and four co-authors:

1. Generate each figure with the same style settings and turn on Visual Consistency.
2. Edit on the canvas, then export SVG for the two vector figures and high-resolution PNG for the raster one.
3. Share the canvas link so co-authors comment in place.
4. Export PPTX for the poster version and download the authorization certificate for your records.

One caveat worth checking before you commit: confirm your target journal's current policy on AI-generated or AI-assisted figures, since requirements differ and change. FigureLabs provides the editable exports and the certificate; whether a specific journal accepts them is a policy question you should verify against that journal's author guidelines.