LabFig vs Surge AI

Side-by-side comparison of features, pricing, and ratings

Analysis reviewed Live tool data as of 2026-10-09
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At a glance

DimensionLabFigSurge AI
PurposeAI scientific figure generationExpert human feedback for AI alignment
Target UsersGraduate students, researchersFrontier AI labs, AI safety teams
Core TechnologyAI generation from text/sketch/PDF/photoCurated expert human workforce
PricingFreemium (credits-based)Contact for pricing (expert labor)
IntegrationsNone listedPython SDK, REST API
Key DifferentiatorPublication-ready vector figures from any inputBespoke expert benchmarks (Riemann, Antidote)
LabFig
LabFig

LabFig turns a prompt, sketch, PDF, or lab photo into an editable vector scientific figure draft with panels, labels, and arrows in place.

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Surge AI
Surge AI

Surge AI supplies expert human RLHF data, red teaming, and public benchmarks like GDP.pdf and the Tuesday Work Index for frontier model

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Pricing
Freemium
Contact Sales
Plans
$0
$7.9/mo billed annually ($94.8/yr)
$9.9/mo month-to-month
$29.9/mo billed annually ($358.8/yr)
$39.9/mo month-to-month
$79.9/mo billed annually ($958.8/yr)
$99.9/mo month-to-month
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Popularity
8 views
7.4k views
Skill Level
Beginner-friendly
Advanced
API Available
Platforms
Web
Web
Categories
🔬 Research & Education🖌️ Graphic Design
🏷️ Data Labeling & Training Data
Features
Text to Figure: generate a schematic from a natural language prompt
Sketch to Figure: convert whiteboard or notebook photos into journal-grade figures
PDF to Figure: extract and redraw schematics from research PDFs
Photo to Figure: turn lab photos into publication figures
Reference to Figure: replicate style and layout from an existing figure
Photo to Figure and Reference to Figure support multi-image context
Vector Canvas: edit every text, arrow, shape, and color after generation
Region inpainting: select part of a figure and regenerate it with one prompt
Full undo / redo in the Vector Canvas
Figure Enhancer: clean up color and line weights on reused figures
Six journal-grade styles: Scientific, Line, 3D, Editorial, Sketch, Watercolor
Auto mode: style follows the tone of your prompt
Export SVG, PDF, and PNG at 300 dpi
AI Tools hub with a task-based selector comparing seven figure workflows
Scientific figure templates across disciplines (protein-ligand binding, diffusion models, neural circuits, Li-ion battery, scRNA-seq workflow)
Expert human workforce of doctors, lawyers, engineers, and writers for frontier AI data
RLHF preference data collection and human feedback for model fine-tuning and post-training
Red teaming and adversarial testing staffed with credentialed domain specialists
Off-the-shelf post-training runs built on expert evaluation data
SWE consultant network for software engineering and technical tasks
Agentic coding task sets: 1,700 tasks gave Kimi K2.7 +20.0pp on SWE-Marathon and +12.4pp on DeepSWE
GDP.xlsx benchmark for professional spreadsheet comprehension, spanning 70 tasks across 12 knowledge-work domains
sudo L7 benchmark for staff-level engineering judgment in coding agents
GDP.pdf benchmark for real-world professional document comprehension, cited in the GPT-5.6 release
Chartography benchmark for chart reasoning: Kaplan-Meier curves, candlesticks, contour maps, Bode plots
ComplexConstraints benchmark for instruction following with mutually dependent constraints
HANDBOOK.md benchmark for long-context policy adherence against expert handbooks
DAYJOB vertical benchmark suites for economically valuable agents in Healthcare and Finance
Tuesday Work Index composite benchmark scoring frontier models on real professional work
RL environments including CoreCraft and EnterpriseBench with Python SDK and REST API access

What real users say: LabFig vs Surge AI

Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.

LabFig

21 mentions across 2 sources · 45% positive — mixed (averaged across 2 sources)

YouTube, Product Hunt

What users praise

  • • Handles rough sketches and photos and produces clean figures.
  • • Vector-first editing keeps all elements editable.
  • • Six visual styles match Nature, Cell, IEEE aesthetics.
  • • Text-to-figure from natural language descriptions is intuitive.

What frustrates them

  • • No direct export to journal templates like Nature or IEEE.
  • • Missing citation overlay feature for figure annotations.
  • • Very limited community reviews – risk of undiscovered bugs.
  • • Off-topic YouTube posts suggest weak real-world buzz.

Researched Jul 26, 2026

Surge AI

48 mentions across 3 sources · 38% positive — critical (weighted across 3 sources)

Hacker News, YouTube, Lemmy

What users praise

  • • Credentialed workforce of doctors, lawyers and engineers instead of generic crowd annotators
  • • GDP.pdf cited by OpenAI in the GPT-5.6 release with a concrete 30.7% flagship score
  • • Kimi K2.7 post-training run published measurable SWE-Marathon, DeepSWE and Terminal-Bench gains
  • • Benchmark catalog spans chart reasoning, dependent constraints, long-context policy and verticals

What frustrates them

  • • Contact-only pricing means no public rate card, no tiers, and no way to self-serve
  • • Benchmark sponsorship and independence questions raised directly in HN threads
  • • Expert-credential verification process is never explained in any community source
  • • No community data on support responsiveness, uptime, or SLAs at enterprise scale

Researched Oct 7, 2026

Who should pick which

  • Graduate student preparing journal figures
    Pick: LabFig

    LabFig converts text/sketches to editable vector figures, ideal for quick publication-ready schematics without Illustrator skills.

  • AI safety team red teaming LLMs
    Pick: Surge AI

    Surge provides domain experts for adversarial testing and nuanced evaluation, plus proprietary benchmarks like Antidote.

  • Researcher recreating figures from preprints
    Pick: LabFig

    LabFig's PDF to Figure feature extracts and reconstructs figures from existing PDFs, enabling adaptation.

  • Enterprise training multimodal models on PDFs
    Pick: Surge AI

    Surge's GDP.pdf benchmark and expert labeling improve real-world document understanding.

  • Lab group standardizing figure style
    Pick: LabFig

    LabFig's six consistent visual styles and batch generation maintain uniform appearance across publications.

Frequently Asked Questions

Can LabFig generate figures from hand-drawn sketches?

Yes, it converts photos of sketches into editable vector figures.

Does Surge AI provide automated evaluations?

No, its evaluations are performed by a curated expert human workforce, not automated.

What file formats does LabFig support for export?

PNG, SVG, and PDF at journal-grade resolution.

Which companies use Surge AI for benchmarks?

Microsoft used Surge to benchmark MAI-Thinking-1 (per 2026-07-01 news).

Can LabFig regenerate parts of a figure?

Yes, it supports region inpainting and regeneration via prompts within the vector canvas.

What is the Riemann-bench?

A benchmark by Surge AI for extreme-tier math problems where frontier models score below 10%.

Is there a free version of LabFig?

Yes, a freemium model with limited free credits; premium plans unlock batch generation and higher limits.

How does Surge AI handle complex instruction following?

It uses the ComplexConstraints benchmark and trains models on expert-written rubrics (4B model reached parity with 60x larger).

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Last reviewed: July 2, 2026