GITNUXSOFTWARE ADVICE
Art DesignTop 10 Best Infographic Creation Software of 2026
Compare infographic creation software options with key feature notes for making charts, diagrams, and visual data graphics using Creately, Figma, or Tableau.
How we ranked these tools
Vendors set the topic, but our editors set the inclusion criteria and the evaluation framework before research starts.
Agents extract product evidence with provenance, then collect written reviews and transcribe video reviews and podcasts.
Framework: Features 40% · Ease 30% · Value 30%
Gitnux may earn a commission through links on this page — this does not influence rankings. Editorial policy
Creately is the best pick for teams creating diagram-driven infographic layouts because its reusable blocks help standardize callouts, legends, and layout grids across designs while still exporting crisp SVG and print-ready PDF, whereas Figma fits design teams that need collaborative infographic layout systems thanks to reusable components that keep typography and spacing consistent as they iterate.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Creately
Reusable blocks for infographic sections let teams standardize callouts, legends, and layout grids across multiple designs.
Best for: Fits when teams need diagram-driven infographic layouts with crisp vector exports and collaborative revisions.
Figma
Editor pickReusable components with master-style editing let teams update typography, spacing, and iconography across every infographic instance.
Best for: Fits when design teams need collaborative infographic layout systems and frequent exports for multiple channels.
Tableau
Editor pickDashboard interactivity tied to live filters, parameters, and actions lets infographic layouts behave like guided analytics.
Best for: Fits when infographic-like dashboards must stay data-linked and interactive for reporting and stakeholder review.
Comparison Table
Creately
SMBVisual collaboration software with diagramming, templates, whiteboards, and data-linked visual layouts.
Reusable blocks for infographic sections let teams standardize callouts, legends, and layout grids across multiple designs.
Creately provides a drag-and-drop canvas for building infographics with reusable shapes, diagram components, and layout-oriented templates.
The editor supports vector-style outputs like SVG plus exportable raster formats such as PNG and print-ready PDF layouts.
Collaboration mode adds real-time co-editing with version history so infographic iterations remain trackable.
Creately also focuses on diagramming workflows that translate into infographic visual hierarchies for charts, callouts, and structured sections.
- +Diagram-first canvas makes infographic layout faster than freeform editors
- +SVG plus PDF export supports crisp graphics and print workflows
- +Reusable blocks speed up repeated infographic sections
- +Real-time co-editing and version history support iteration control
- –Chart and data visualization depth is thinner than dedicated data tools
- –Advanced typographic controls require more manual alignment work
- –Large infographic files can feel slower during drag operations
- –Template customization can be slower than rebuilding from scratch
Marketing communications creators
Build template-based infographic visual documents
Shareable graphics for campaigns
Managers and educators
Map reporting lines and relationships
Clear relationship diagrams
Show 2 more scenarios
Business analysts requirements teams
Diagram actors and use case flows
Reviewable visual system models
Create UML-oriented canvases with structured sections for reviewable system behavior models.
SMB analysts and investigators
Produce standardized explanatory diagrams
Reusable specialized diagrams
Adapt diagram templates and shape libraries for structured documentation like crime scene notes.
Best for: Fits when teams need diagram-driven infographic layouts with crisp vector exports and collaborative revisions.
Figma
SMBCollaborative design software with vector tools, components, layout controls, and shared editing.
Reusable components with master-style editing let teams update typography, spacing, and iconography across every infographic instance.
Figma turns infographic creation into a collaborative design workflow with shared editing and version history. Its drag-and-drop canvas supports precise vector composition and reusable components for building consistent layout systems.
Export is oriented around production formats like SVG, PNG, and PDF, which helps when infographics must fit multiple publishing channels. Integration depth comes through its plugin ecosystem and automation options that connect designs to external data and review processes.
- +Real-time collaboration keeps infographic layout reviews tied to the exact canvas
- +Reusable components reduce drift across multi-screen infographic sets
- +Vector tools support pixel-level alignment via smart guides and snapping
- +Exports include SVG, PNG, and PDF for print and digital delivery
- –Building data-driven charts requires external workflows beyond native chart widgets
- –Complex dashboards can become slow when layer counts and effects grow
- –Auto-layout and responsive sizing need disciplined component structure
- –Plugin automation often depends on add-on maintenance
Marketing teams
Co-create infographic series from shared templates
Faster campaign infographic iteration
Product teams
Diagram product features using reusable components
Consistent feature documentation
Show 2 more scenarios
Data teams
Generate charts then style infographic outputs
Reduced manual chart formatting
Plugins and integrations connect designs to external data for review-ready infographic drafts.
Agencies
Deliver SVG and PDF infographic exports
Multi-channel infographic publishing
Agencies export production-ready formats for web, slide decks, and print while maintaining review workflows.
Best for: Fits when design teams need collaborative infographic layout systems and frequent exports for multiple channels.
Tableau
enterpriseBusiness intelligence software for dashboards, interactive charts, maps, and data storytelling.
Dashboard interactivity tied to live filters, parameters, and actions lets infographic layouts behave like guided analytics.
Tableau is a data visualization authoring tool that also supports infographic-style layouts using dashboard canvases. It connects to live data sources through built-in connectors and can embed interactive views inside Tableau dashboards.
Tableau’s infographic output is centered on data-linked charts, with export options like PDF and image formats for static sharing. Template-based design exists through dashboard patterns and workbook structure, but freeform drag-and-drop infographic composition is not its primary workflow.
- +Interactive dashboards keep charts filterable for data-storytelling workflows
- +Live connectors support direct publishing of data-linked visuals
- +High-quality exports for reports include PDF and image outputs
- +Dashboard layout tools support consistent alignment across multiple views
- –Infographic creation is constrained by chart-first components
- –Fine-grained layer workflows are limited compared with graphic editors
- –Recreating detailed vector layouts often requires external design work
- –Design automation depends on workbook governance rather than a dedicated template engine
Marketing analytics teams
Build campaign performance infographic dashboards
Faster stakeholder reporting
Sales operations teams
Visualize pipeline stages in infographics
Clearer deal tracking
Show 2 more scenarios
Business intelligence analysts
Design narrative infographic views
Better decision context
Uses interactive Tableau worksheets inside dashboards to tell data-driven stories across metrics.
Executive reporting teams
Distribute monthly infographic KPI packs
More consistent KPIs
Exports consistent infographic layouts with embedded interactivity for internal review and static sharing.
Best for: Fits when infographic-like dashboards must stay data-linked and interactive for reporting and stakeholder review.
Canva
SMBTemplate-driven design platform with dedicated infographic creation workflows.
Brand Kit configuration applies across designs so infographic color and typography stay consistent across collaborative edits.
Canva fits teams that need consistent infographic outputs from shared brand rules, since brand kit settings keep colors and typography aligned across projects. The editor includes layer controls, grouping, and alignment tools that help refine diagram structure, plus a large template library for common infographic layouts. Charts and data visualization widgets can be styled in the same design workflow so the infographic stays cohesive when content changes.
- +Brand kit keeps colors and typography consistent across infographic series
- +Layer and alignment tools support repeatable visual structure
- +Exports include PNG, PDF, and SVG for varied publishing needs
- +Version history and collaboration reduce rework during iterations
- –Automation and API control are limited for fully programmatic infographic generation
- –Fine-grained layout control can feel constrained versus diagram-first editors
- –Data-driven chart updates are less suited for complex transformation pipelines
Marketing teams
Weekly infographic posts with consistent styling
Faster production cycles with consistent visuals
Communication designers
One infographic delivered in multiple formats
Fewer manual conversion steps
Show 2 more scenarios
Product teams
Status and metrics infographic sharing
More readable metric communication
Charts and visual widgets are styled inside the same layout workflow for clearer data storytelling.
Agencies
Multi-client collaboration on infographic assets
Reduced revision churn
Teams iterate with collaboration and version history to keep design feedback tied to prior revisions.
Best for: Fits when marketing and small design teams need fast, consistent infographic production with shared branding.
Visme
SMBContent design platform for infographics, presentations, reports, and branded visuals.
Interactive HTML5-style publishing with embedded hotspots and linkable elements, not just static infographic exports.
Visme’s core workflow starts on a canvas built from templates and reusable blocks, then moves into layout controls like alignment guides, grouping, and layer locking for predictable composition. Data visuals are handled with chart widgets that can be populated from CSV-style data inputs and updated without redrawing every element. Export options cover SVG output for vector fidelity and PNG export for quick raster sharing, plus PDF export for print-ready handoffs. Collaboration mode supports real-time editing and comments, and version history helps teams roll back changes to earlier design states.
- +Chart widgets support data binding for rapid infographic updates
- +Exports include SVG, PNG, and print-oriented PDF outputs
- +Brand kit and reusable blocks keep multi-editor designs consistent
- +Layer tools like locking and grouping improve layout control
- –Interactive behavior is limited to supported interactive element types
- –Highly customized visual logic requires manual design work
- –Data preparation is needed before chart binding for best results
Marketing teams
Campaign infographics from reusable components
Faster production cycles for visuals
Analytics and BI teams
Spreadsheet-backed chart graphics
Consistent metrics across reports
Show 2 more scenarios
Product enablement teams
Interactive feature explainers
Higher engagement than static PDFs
Teams publish interactive pages with clickable elements for guided product storytelling.
Design operations teams
Brand governance across editors
Reduced rework from off-brand designs
Design ops enforces shared assets through brand kit usage and reusable blocks.
Best for: Fits when teams need consistent infographics with data-driven charts and dependable export formats.
Datawrapper
vertical specialistData visualization software for charts, maps, tables, and responsive visual stories.
Datawrapper’s chart publishing workflow keeps datasets and chart settings connected for quick, controlled updates to published visuals.
Datawrapper is built for publishing data visualizations that match editorial workflows, not for free-form canvas design. It turns CSV-style datasets and chart settings into shareable charts and infographic-like layouts with consistent chart theming.
- +Chart-first editor that reduces formatting effort across multiple visuals
- +Interactive features like tooltips and linked filtering on supported chart types
- +Consistent theming across charts for publication-ready visual style
- +Exports for PNG and PDF to reuse visuals in documents
- –Less suited to complex layout work that needs deep layer control
- –Infographic design is constrained compared with full vector editors
- –Automation requires more reliance on external workflows than native builder rules
- –Advanced customization can be limited for nonstandard chart layouts
Newsroom data journalists
Publish interactive explainer charts from datasets
Faster story publishing workflow
Corporate communications teams
Create infographic graphics for reports
Consistent infographic branding
Show 2 more scenarios
Product analytics teams
Share metric charts with filtering controls
Improved stakeholder understanding
Generates interactive charts from datasets with tooltips and optional filters for stakeholder review.
Consulting analyst teams
Deliver client charts with versioned updates
Reduced manual chart rework
Publishes chart outputs that support repeatable updates when underlying CSV data changes.
Best for: Fits when editorial teams need fast, repeatable publishing of data visuals with consistent styling and light infographic layout.
Flourish
vertical specialistData visualization software for animated charts, maps, stories, and interactive graphics.
Data-bound interactive chart widgets that publish as shareable, behavior-rich infographic visuals.
Flourish creates infographic-style visuals using a browser-based design flow focused on layout composition and chart-focused storytelling. It includes guided templates and widget-based charts that pull data from common formats so visuals update without rebuilding the whole design.
- +Interactive chart widgets turn bound data into published storytelling
- +Template-driven layouts reduce time spent on infographic structure
- +Export supports both static image outputs and print-oriented PDFs
- +Responsive canvas presets help keep infographic content readable
- –Fine-grained layer controls can feel limited versus full design editors
- –Interactive behaviors are easier with widget presets than custom scripting
- –Collaboration and review workflows are constrained compared with full co-editing suites
- –Deep brand tokenization for typography and colors is limited
Marketing analysts and campaign leads
Turn KPIs into interactive infographic posts
Faster campaign reporting
Data journalists and editors
Create story graphics from CSV datasets
Quicker story production
Show 2 more scenarios
Product managers and growth teams
Visualize funnel changes across releases
Up-to-date release dashboards
Update visuals through data bindings so charts reflect new numbers with minimal redesign.
Sales enablement and operations
Publish territory and pipeline infographics
Reusable sales visuals
Connect common data formats to interactive widgets for consistent, shareable sales materials.
Best for: Fits when teams need data-bound, template-driven infographics with interactive chart behavior.
RAWGraphs
API-firstOpen-source data visualization software for transforming tabular data into customizable vector graphics.
Dataset-bound infographic building where visual blocks update from CSV changes, then export to SVG or PDF.
RAWGraphs turns tabular data into publication-ready infographics using an interactive chart-first workflow rather than a pure design canvas. It supports CSV-based data binding and a visual grammar for building charts, maps, and graphic layouts that remain tied to the underlying dataset.
- +CSV-driven composition keeps charts linked to the source dataset
- +Vector export output supports sharp scaling for diagrams and charts
- +Built-in chart types reduce the need for third-party visualization tools
- +Template-like reuse through saved states speeds repeat infographic builds
- –Less suited for freeform drag-and-drop layout control than canvas-first editors
- –Interactive elements and design-system token workflows are limited
- –Brand kit management and typography controls are not as granular as design tools
- –Automation and API access are not a primary focus of the workflow
Marketing analytics teams
Turn CSV campaign metrics into infographics
Faster infographic production cycles
Research and policy groups
Publish data-driven map infographics
Consistent evidence for reports
Show 2 more scenarios
Data journalism desks
Repurpose structured data for stories
Reusable visuals across articles
Compose chart and graphic layouts from tabular inputs and export figures for editorial graphics workflows.
Design teams in product orgs
Maintain infographic updates with data edits
Lower update effort for visuals
Edit the underlying dataset while keeping infographic structure synced for repeatable, publication-ready outputs.
Best for: Fits when infographic creation is driven by repeatable CSV data and chart-based layouts.
EdrawMax
SMBDiagram and graphic design software with infographic, flowchart, map, and business visualization templates.
Master-template style diagram layouts with reusable blocks that keep infographic components consistent across artboards.
EdrawMax is an infographic creation tool centered on diagram-first building, with strong shape and layout controls for turning information into visual structures. The editor supports vector workflows, including SVG output plus PNG and PDF exports for slide decks, print, and web sharing.
- +Vector-centric editing with consistent geometry across exports
- +SVG output preserves crisp lines for design pipelines
- +Template library covers many infographic layout patterns
- +Layer and alignment controls improve visual hierarchy
- –Collaboration is limited compared with real-time co-editing tools
- –Data binding features are not a primary strength for CSV workflows
- –Smart guide behavior can require manual tweaking on dense canvases
- –Interactive element support is narrower than dedicated content tools
Marketing ops teams
Create campaign infographics from metrics
Faster infographic production cycles
Consulting analysts
Package research into slide-ready diagrams
Cleaner client deliverables
Show 2 more scenarios
Product managers
Visualize workflows and feature comparisons
Consistent documentation visuals
Build reusable blocks across multi-artboard documents to keep product visuals consistent across updates.
Sales enablement teams
Standardize proposals with infographic templates
Brand-consistent sales materials
Start from template libraries and icons to produce branded visuals for proposals and web assets.
Best for: Fits when teams need diagram-grade infographic layouts with vector exports and reusable blocks.
Piktochart
vertical specialistVisual communication platform built around infographics, presentations, and reports.
Brand kit locks typography and color decisions across new designs, reducing drift during multi-infographic campaigns.
Piktochart provides an infographic canvas with reusable templates and a visual editor for layout and styling. The editor supports layer-oriented positioning through grouping, alignment guides, and snapping to grid. Data visualization is handled with built-in chart widgets that can be configured to match the design and then exported with the rest of the graphic.
- +Template library accelerates first drafts with consistent infographic layouts
- +Chart widgets keep data visuals aligned with the rest of the design
- +Brand kit centralizes typography and color choices across projects
- +Collaboration tools support review cycles with version history
- –Advanced vector editing is limited compared with dedicated design tools
- –Automation is mostly manual, with no native spreadsheet-style batch publishing workflow
- –Reusable block reuse depends on template-based duplication instead of a schema-driven system
- –Fine-grained typography controls can feel constrained for complex text-heavy layouts
Marketing operations teams
Monthly performance infographics with charts
Faster campaign production cycles
Product marketing teams
Launch updates for feature messaging
Clearer feature communication
Show 2 more scenarios
Communications departments
Internal reports for leadership decks
Quicker board-ready sharing
Export print-ready PNG or PDF versions for staff updates and reporting packs.
Design teams coordinating reviews
Collaborative infographic iterations
Reduced revision churn
Use collaboration and version history to track changes across multiple reviewers.
Best for: Fits when marketing and comms teams need repeatable infographic templates with consistent branding and chart blocks.
Conclusion
After evaluating 10 infographic creation software, Creately stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
Frequently Asked Questions About Infographic Creation Software
Which tool is better for static print exports: Canva, Visme, or EdrawMax?
How does template-first creation differ from chart-first authoring in Flourish and Visme?
How do Canva and Piktochart manage brand consistency across multiple infographics?
What breaks if a workflow needs linked, updatable data rather than manual chart rebuilds?
When are interactive infographic outputs a requirement: Visme, Flourish, or Tableau?
Which tool is best for diagram-grade layout control and vector exports: EdrawMax or Creately?
How do integrations and automation capabilities compare between Figma and data-first tools like RAWGraphs and Datawrapper?
What are the data migration expectations when moving CSV-bound infographic workflows to a new tool?
How do teams control edits and trace changes for collaboration: Visme, Figma, and Tableau?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
How to Choose the Right Infographic Creation Software
Options differ most in how far they take infographic creation into real production: the choices you make for data import support and output quality will change how often you can reuse assets without rework. We focus on criteria that show up in normal creation workflows and the finished exports.
Template flexibility and editable parts
Why it matters
Template flexibility and editable parts matter because infographic work rarely fits one exact layout twice. If templates stay rigid, you end up rebuilding layouts instead of refining them.
How to check
Open a sample infographic template and try swapping the main layout blocks (headline area, chart area, icon row) while keeping the overall style. Export and compare whether typography, spacing, and colors keep their intended structure after edits.
Data import and data binding
Why it matters
Data import and data binding matter because infographics are often refreshed from spreadsheets. If values are manual only, updates become slow and error-prone.
How to check
Create a simple chart-based infographic from a small table you paste or upload. Then update a value and confirm which visuals change automatically versus what requires redrawing.
Chart coverage for statistical views
Why it matters
Chart coverage for statistical views matters because infographics rely on consistent statistical graphics. Missing common chart types forces workarounds that can break visual consistency.
How to check
During a demo, build an infographic using at least a few chart types you expect to use (for example, bar, line, pie, and a comparison format). Check whether labels, legends, and callouts can be styled to match the rest of the design.
Export formats and design fidelity
Why it matters
Export formats and design fidelity matter because stakeholders view work in many places. If exports lose fonts, spacing, or crispness, you’ll redo formatting after every revision.
How to check
Export the same infographic in multiple formats offered by the tool and inspect them at normal zoom levels. Ask on the demo whether text stays selectable/editable and whether images remain sharp, then verify with a second-party viewer file test.
Versioning and work recovery
Why it matters
Versioning and work recovery matter because infographic edits often happen in rounds. Without reliable recovery, small changes can undo formatting or break layouts.
How to check
Make a few edits (layout change, chart value update, and color tweak) and then attempt to restore a prior state using the tool’s history controls. Confirm what gets restored: the full canvas, styles, and chart settings.
Team workflow and handoff controls
Why it matters
Team workflow and handoff controls matter because multiple people may update copy, charts, and visuals across iterations. Clear controls prevent mismatched versions and accidental overwrites.
How to check
Invite a second user to edit or comment, then test whether changes can be tracked by object or version. Export or share a working copy and verify whether reviewers can see what changed and whether the original design remains intact.
Red flags
- Templates won’t keep spacing and typography after edits
- Chart values update only by manual redraws
- Exports introduce blurry text or broken layout
Fit by situation
- If you reuse the same visual structure every month, prioritize Template flexibility and editable parts.
- If your charts come from recurring spreadsheet updates, prioritize Data import and data binding.
- If multiple reviewers need safe iterations, prioritize Team workflow and handoff controls.
Funding and competing interests
This study was co-funded by several of the vendors assessed in it. No single vendor funded it. Funders could propose the market studied.
They had no role in selecting vendors, setting or weighting criteria, analysing data or drawing conclusions, and they received the same factual-accuracy check as every other vendor assessed.
Market definition, inclusion rules and criteria weights were fixed by an editor before research began and did not change afterwards. Editorial process →
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