Fig0
Summary
Generic image generators produce figures that look scientific until a reviewer asks you to change one label — at which point you're rebuilding from a raster file with no layers and no vector path. Fig0 is built specifically for that revision loop.
Fig0 takes text descriptions, sketches, reference images, PDFs, or photos and converts them into editable vector figures formatted for publication. The canvas-based refinement step keeps the figure live — labels, regions, and composition stay adjustable after generation, so a reviewer comment doesn't mean starting over. Exports cover SVG, editable PPTX, PDF, PNG, and 300/600 DPI TIFF, which covers the formats journals and collaborators actually request. The tool has no API and no self-hosted option, so teams with data-sharing restrictions or pipeline automation requirements hit a wall. For solo researchers running a standard manuscript workflow, that constraint rarely surfaces.
Bottom line: Pick Fig0 when your bottleneck is turning rough sketches or text descriptions into revision-safe, journal-ready vector figures — but if you need programmatic figure generation inside a data pipeline or offline processing behind a firewall, there is no API or self-hosted path to reach.
Pricing Plans
Usage-Based- Free Tier
- 200 credits on signup (valid 60 days), daily login credits expiring after 1 day, personal non-commercial use only
Free
200 free credits on signup (60 days), daily login credits, personal non-commercial use only
- Basic AI modes
- No publication or commercial rights
Starter
36000 credits per year, all AI modes, vector and bitmap exports, publication and commercial use permitted
- 4K HD generation
- SVG, PPTX, PDF, PNG, TIFF exports
- Basic support
Standard
96000 credits per year, priority support, early access
- All Starter features
- Priority support
- Early access to new features
Premium
216000 credits per year, dedicated account manager
- All Standard features
- Dedicated account manager
View full pricing on fig0.ai →
Pricing may have changed since last verified. Check the official site for current plans.
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Pros
Sign in to edit- Accepts sketches, PDFs, photos, and reference images as inputs alongside text prompts, so you can start from whatever you already have instead of re-describing a figure you've already drawn.
- Canvas-based refinement keeps the figure editable after generation — labels, regions, and composition adjust without rebuilding from scratch, which means a reviewer comment costs minutes, not half a day.
- Exports SVG, editable PPTX, PDF, PNG, and 300/600 DPI TIFF from the same figure, so journal submission requirements and team collaboration formats are both satisfied without a separate conversion step.
- GPT Image 2 model availability (as stated by the vendor) means the generation quality benefits from the same model iteration that generic tools use, applied specifically to scientific figure conventions.
- A scientific revision loop handles background cleanup, label updates, and last-mile polish without starting over, so figures survive the full manuscript-to-submission cycle instead of becoming stale raster artifacts.
Cons
Sign in to edit- No API exists. Any team that needs figures generated inside a data pipeline — say, auto-producing a results figure from an analysis script — cannot automate through Fig0. Those teams route figure generation through scripted tools like Matplotlib or write custom integrations with a different provider.
- No self-hosted option is available. Research groups under institutional data-sharing agreements, clinical data handling requirements, or government-classified work cannot route input PDFs and reference images through a cloud service. Those teams switch to locally-deployed tools or purpose-built scientific illustration software that runs on-premises.
- The platform is a one-shot generation and canvas refinement tool with no autonomous task execution — complex figures requiring iterative reasoning across multiple dependent sub-figures still require manual orchestration step by step, which adds friction for multi-panel figure sets.
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About
- Platforms
- Web
- API Available
- No
- Self-Hosted
- No
- Last Updated
- 2026-06-18T07:27:59.359Z
Best For
Who it's for
- Solo creators and researchers
- Teams needing publication-ready scientific visuals
- Users requiring vector and high-DPI exports
What it does well
- Generating scientific figures from text or edits
- Creating vector-based diagrams for publications
- Producing high-resolution images for presentations and papers
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Frequently Asked Questions
- Is Fig0 free?
- Fig0 is a paid tool. No permanent free tier is offered.
- Is Fig0 open source?
- No — Fig0 is a closed-source tool. Source code is not publicly available.
- What platforms does Fig0 support?
- Fig0 is available on: Web.
Hours Saved & ROI Stories Community
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Curated lists that include this category
Fig0 accepts five input types — text prompts, hand sketches, visual references, PDFs, and photos — and converts them into structured scientific figures on an infinite canvas. The core workflow runs in three stages: generate a publication-aware draft, refine labels and regions without leaving the platform, then export in formats downstream tools can keep editing. The vendor describes the output style as journal-grade from the first draft, targeting the specific visual conventions of scientific publishing rather than general illustration.
The differentiating feature is the export chain. Most AI image tools produce a raster PNG and stop there. Fig0 delivers layered SVG, editable PPTX, vectorized PDF, and high-DPI TIFF from the same figure, so a PI polishing colors in PowerPoint and a journal requiring 600 DPI TIFF for print are both covered by the same export session. Community testimonials on the vendor page specifically call out the editable PPTX as the format that fits lab collaboration workflows — reviewer comments get addressed in the file, not in a new generation run.
Fig0 fits solo researchers and small lab teams running standard manuscript-to-submission workflows. The canvas-based revision loop handles the scenario that breaks generic tools: a figure that needs five rounds of label and layout changes without ever going back to a blank canvas. The tool breaks down for teams that need figures generated programmatically — there is no API, so automated figure pipelines are not possible. It also breaks down for institutions with strict data-residency requirements — there is no self-hosted deployment option, meaning all input material, including PDFs and reference images, passes through Fig0’s servers.