AI Data Visualization — Auto-Select Chart Types from CSV or Text + Editorial-Style Charts

Upload CSV or describe data to auto-select chart types and render editorial-style visuals. Export as single-file HTML for easy screenshots and sharing.

What Business Problems Does This Tool Solve?

Operations, marketing, product, and finance teams: you need to produce weekly reports, presentations, and analytical charts every week. Excel charts look ugly, and BI tools are too heavy.

Typical Use Cases:

• Weekly/Monthly reports: revenue, user, and conversion rate trends
• Presentations: make your data "tell a story"
• Content creation: long-form graphics for social media and newsletters
• Research reports: make data more readable

The Value of This Tool: Upload a CSV or describe your data in a single sentence, and get an editorial-style chart in 1 minute. Ready to screenshot for reports or social media posts.

Business Logic and Underlying Workflow (lieflat-charts Methodology)

Phase 1: Data Contract Analysis

• Parse CSV (automatically identifies categorical, numerical, and time-series fields)
• Outputs the semantic type for each field

Phase 2: Chart Type Selection (White Box)

• Selects chart type based on the data contract + user intent
• Clearly displays the reasoning ("Why a bar chart instead of a donut chart")
• This is the core methodology of lieflat-charts: select the chart type first, then render it

Phase 3: Data Extraction + Rendering

• Extracts data according to the standard format for the chosen chart type
• Monochrome editorial syntax + FlowSync visual token rendering
• SVG vector graphics + CSS animations

Phase 4: Export

• Single-file HTML (light theme, optimized for screenshots and printing)
• Includes FlowSync visual tokens for further editing

Get Started in Three Steps

1. Input your CSV or a natural language description
2. See the AI's chart type selection and reasoning in real time
3. Download the single-file HTML (ready to screenshot and use)

Use Cases by Role

Limitations

• ⚠️ Ideal for clean charts with 5-20 data points; not suited for big data with 1000+ points
• ❌ For real-time data dashboards, please use professional BI tools (Tableau/Metabase)
• ⚠️ Complex statistical charts are not supported yet (box plots and violin plots are in the roadmap)

Combine with Other Tools

• + PDF Organizer: Data tables in PDFs → Extract → Visualize
• + Invoice Organizer: Monthly invoice details → Expenditure proportion charts
• + Paper Deep Read: Experimental data from papers → Re-visualize