Plans from $4.90/mo billed yearly

AutomatingAcademicIllustration

Paste your study context, set the figure goal, and generate a structured draft for papers, posters, lab updates, and grant decks.

Structured first draftsSVG, PDF, PNG export

Workspace

Figure generation

Academic figure drafts
ipaperbanana workspace for generating research figures

Benefits

Get clearer figures with less layout work.

Reach a figure your team can review, refine, and export faster than a blank-canvas workflow.

Reviewable first draft

60%

layout time

Move into review instead of arranging layout from scratch.

Export-ready handoff

SVG / PDF / PNG

exports

Take the draft into manuscript, slide, or poster polish without rebuilding it.

Fewer revision loops

rework

revision loops

Fix structure and labeling before final production starts.

Aligned team output

consistency

team output

Keep figure structure steadier across papers, decks, and team reviews.

Create Your Visual

Preview the workflow with your next figure brief.

Paste a brief, adjust settings, and see how the workflow turns source material into a first draft.

Options
Example Image 1/3
Transformer Architecture

Transformer Architecture

Overview of the Transformer encoder-decoder architecture with attention mechanisms and data flow

How It Works

One controlled workflow from source notes to export-ready draft.

Each figure moves through distinct grounding, planning, rendering, and review stages so teams spend less time repairing vague outputs later.

Stage 01

Retriever

Extracts the relevant study context, terminology, and structural cues from your source material before figure planning begins.

Stage 02

Planner

Maps the figure into panels, stages, labels, or chart components so the output has a defensible visual structure.

Stage 03

Stylist

Applies research-oriented layout rules, restrained color, and annotation choices that suit academic communication.

Stage 04

Renderer

Builds the draft figure with attention to spacing, visual hierarchy, and format-specific composition.

Stage 05

Reviewer

Checks semantic fit, chart legibility, and presentation quality before the result is surfaced for export.

Pricing

Choose the plan that matches your research workload.

Refunds follow our refund policy, and you can cancel anytime before the next billing cycle.

Paid plans from $4.90/mo billed yearlyYearly billing lowers the effective monthly price by 50%Choose plans by volume, export depth, and team needs

Hobby

Perfect for individual researchers getting started.

Best for one-off paper or class-project figures.

$4.90/mo

Billed $58.80/yr

100 credits

Choose this plan when it matches your figure volume and export needs.

  • 100 credits per cycle
  • All illustration styles
  • Up to 2K resolution
  • PNG downloads
  • Email support
Most Popular

Basic

For active researchers who publish regularly.

Best for regular manuscript, poster, and deck production.

$6.90/mo

Billed $82.80/yr

400 credits

Choose this plan when it matches your figure volume and export needs.

  • 400 credits per cycle
  • All illustration styles
  • Up to 4K resolution
  • PNG + SVG downloads
  • Priority generation queue
  • Priority support

Pro

For labs and teams with high-volume needs.

Best for labs, teams, and higher-volume workflows.

$19.90/mo

Billed $238.80/yr

1,500 credits

Choose this plan when it matches your figure volume and export needs.

  • 1,500 credits per cycle
  • All illustration styles
  • 4K resolution + batch mode
  • PNG + SVG + PDF downloads
  • Priority generation queue
  • API access
  • Dedicated support

Core figure generation stays consistent across plans. Upgrades mainly add credits, export options, and faster turnaround for teams.

Sign in is required before Stripe checkout so credits can be issued to the correct account after payment.

Researcher Feedback

Trusted by faculty, institute reviewers, and research teams.

The strongest signal is that drafts are usable early: clear enough for supervisor review, concise enough for proposals, and structured enough for manuscript discussion.

18+

active labs and research groups

46 sec

median time to first draft

4.8/5

reviewer clarity score

Methods figures for manuscripts

A structured first draft appears quickly enough that students can focus on revision quality instead of rebuilding the figure from scratch.

Prof. Lin Qian

Professor of Biomedical Engineering

North River University

Lab review acceleration

The hierarchy is clearer from the start, so our review rounds move faster before final publication polishing begins.

Dr. Helena Zhou

Senior Research Scientist

Institute for Intelligent Materials

Proposal-ready visuals

Dense workflows become concise visuals that collaborators understand immediately, especially for talks, grants, and proposal reviews.

Dr. Marcus Tan

Research Fellow

Center for Applied Systems Research

Built For Researchers

Designed for authors, labs, and technical teams who care about clarity.

Faster figure preparation, clearer review cycles, and outputs that stay useful after the first generation pass.

Spend less time on layout busywork

A structured first draft replaces the slowest part of figure creation: arranging boxes, labels, arrows, and chart hierarchy from a blank canvas.

Give reviewers something clearer to react to

Teams can critique the story, ordering, and missing evidence earlier because the visual hierarchy is already visible in the first pass.

Keep charts aligned to supplied values

Chart-oriented workflows aim to preserve the numbers, labels, and emphasis you provide so visual polish does not come at the cost of accuracy.

Match the output to the deliverable

The same workflow can be tuned for journal figures, grant decks, posters, and teaching visuals without switching tools mid-process.

Move from solo drafting to shared lab use

Researchers can start with an individual plan and move to higher-volume tiers when a lab needs more throughput, richer exports, or team support.

Reduce revision loops before submission

Multi-pass refinement helps tighten annotation clarity, panel ordering, and figure readability before the asset reaches final production.

Quality Metrics

Signals used to evaluate output quality.

These indicators summarize structure fidelity, numerical consistency, visual polish, and information density across the workflow.

Semantic fidelity

92/100

Measures how closely the figure structure follows the provided research brief and intended message.

Numerical precision

99.2%

Tracks how consistently chart outputs preserve supplied values and reduce silent visual drift.

Visual polish

4.8/5

Reflects spacing, annotation discipline, and overall figure presentation quality during review.

Information compression

3.1x

Average reduction in explanatory burden when dense methods content is translated into a concise visual summary.

Best Fit

Choose the workflow that matches the deliverable in front of you.

Most teams start with manuscript figures, proposal visuals, or data summaries.

Manuscript Prep

Methods figure before your next supervisor review

Turn recruitment, preprocessing, analysis, and validation into a figure that reads clearly in a paper or supplement.

Preview this workflow

Grant And Proposal Work

Explain a pipeline without drawing every box by hand

Draft workflow visuals for grants, decks, and team reviews when narrative clarity matters more than decorative styling.

Preview this workflow

Data Communication

Summarize chart-heavy results without visual drift

Create bar, heatmap, and multi-panel figures that stay tied to the values and story you provide.

Preview this workflow

Why Teams Switch

A better first draft than blank-canvas design or generic image tools.

Move from research context to a figure worth reviewing without starting from a blank canvas.

Start from source material, not prompt guesswork

ipaperbanana treats your notes, captions, and figure intent as the brief. That keeps panel structure, labels, and sequencing closer to the actual study instead of forcing repeated prompt rewrites.

Get to a reviewable first draft faster

The workflow separates grounding, planning, rendering, and QA into distinct steps so the first output is easier to critique in lab review, advisor feedback, or manuscript iteration.

Keep the output usable after generation

The goal is not novelty for its own sake. Drafts are shaped for export and downstream editing, so teams can keep polishing the figure instead of recreating it from scratch.

FAQ

Answers for teams evaluating the workflow.

Answers on plans, exports, data handling, and publication use.

ipaperbanana is built around figure structure, research context, and iterative review rather than open-ended image synthesis. The workflow is tuned for method diagrams, charts, explanatory figures, and visual communication tasks that need to read clearly in research documents.

Final Call To Action

Start with the next figure that is slowing your paper, slide deck, or proposal.

Review the workflow, compare plans, and choose the level of throughput, export depth, and team support that matches your research workload.

Paid plans from $4.90/mo billed yearlyMonthly and yearly billing availableLab and institutional support available