AskDeck vs FigureLabs: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of AskDeck and FigureLabs — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
AskDeck
Deck-Agent, Inc.
An AI presentation agent that turns a brief, document or dataset into a structured story, an editable PowerPoint and a narrated video.
Key features
- Story Development First: Eric builds an audience, objective and slide sequence you approve before any slide is rendered, so the deck argues a point rather than paraphrasing your source.
- Native Editable PPTX: Output is a real PowerPoint file in your brand master template, yours to keep and edit, with speaker notes written on every slide.
- Narrated Video Production: Generates synchronized narration, captions and motion from the same deck, delivering a shareable video alongside the slides.
- Multi-Channel Briefing: Start or revise a production by web, email, SMS or a voice briefing, without opening an editor.
- AI Client Integration: Connect Claude, Claude Code, Cursor or ChatGPT with a single address to start a deck, check a build or open a preview inside the conversation.
- Deck Translation: Re-renders a finished production into other languages through the same pipeline, holding layout, charts and art direction constant.
- Free Watermarked Preview: See the full deck built from your own material before paying anything, with no account required to start.
- One-Instruction Revisions: Request a change in plain language once and every downstream output — deck, script and video — is regenerated in step.
Best for
- Board and Executive Updates: Turn a memo or quarterly numbers into a board briefing plus a narrated video for directors who cannot attend.
- Sales Enablement: Produce account-ready proposal decks and narrated follow-ups from product and customer context.
- Consulting Readouts: Convert research and analysis into a client-ready deck in the firm's template without a designer in the loop.
- Training and Onboarding: Turn procedures and policies into presentation-led learning modules with narration and speaker notes.
- Multilingual Rollouts: Ship one production to regional teams in several languages while keeping the layout and charts identical.
- Agent-Driven Workflows: Have a coding or chat assistant commission and retrieve a finished deck as part of a larger automated task.
F
FigureLabs
FigureLabs
AI agent that creates publication-ready scientific figures via text-to-figure, image-to-figure, and vectorization.
Key features
- Text-to-Figure Generation: Creates complete, composed scientific figures from plain-text descriptions, allowing users to specify panels, annotations, and figure layout that the agent renders automatically.
- Image-to-Figure Conversion: Transforms input images (e.g., plots, microscopy snapshots, schematics) into polished figure components suited for publication, preserving scientific detail while improving presentation.
- Vectorization and Editable Output: Converts raster graphics into vector representations so figures are editable and scalable for high-resolution publication needs.
- Publication-Ready Styling: Applies formatting and styling conventions appropriate for academic journals, producing high-resolution outputs that reduce manual rework before submission.
- Rapid Iteration: Generates and refines figures in seconds, enabling fast prototyping and repeated adjustments during manuscript or presentation development.
- Precision Preservation: Focuses on preserving underlying data clarity and scientific details while enhancing visual clarity and label legibility for reproducible visuals.
- Text-to-figure generation from natural-language prompts
- Image-to-figure conversion (convert raster inputs into cleaned, publication-ready figures)
- Vectorization of raster graphics to vector formats (SVG)
- Fast generation workflow (seconds-scale) for rapid iteration
- Outputs optimized for publication (high-resolution and editable vector formats)
Best for
- Preparing manuscript figures for journal submission: generate composed, publication-ready multi-panel figures from descriptions and source images to accelerate paper submission.
- Converting lab outputs into editable graphics: turn raster plots or microscope images into vectorized, editable figures for revision and scaling without quality loss.
- Rapid prototyping of visual results: create multiple figure variants quickly to test layouts, annotations, and styles during manuscript drafting or poster design.
- Recreating figures from text or notes: produce visual representations of experimental setups, workflows, or conceptual diagrams from written descriptions for methods or review articles.
- Improving figure consistency across a manuscript: standardize styling, labels, and panel layouts across multiple figures to meet journal formatting requirements and improve readability.
- Create publication figures for manuscripts, posters, and presentations
- Convert hand-drawn or raster diagrams into editable vector figures
- Rapidly prototype visualizations from experimental descriptions
- Produce consistent, publication-ready figure sets with minimal manual redrawing
