ChartGen.ai Documentation

Everything you need to know about creating stunning AI-powered charts. From basic tutorials to advanced customization, this comprehensive guide covers all aspects of ChartGen.ai including 9 chart types, data input methods, aggregation options, color themes, and API integration.

Overview

ChartGen.ai is a free, AI-powered chart generation tool that transforms your raw data into professional, beautiful visualizations in seconds. Whether you're a business analyst creating quarterly reports, a marketer visualizing campaign performance, or a student presenting research findings, ChartGen.ai makes data visualization accessible to everyone. Powered by advanced natural language processing and machine learning, our AI chart generator understands your requirements and automatically creates the perfect visualization.

Instant Generation

Create professional charts in under 30 seconds. Just describe what you want in plain English and let our AI-powered chart maker do the rest. No design skills or coding required.

9 Chart Types

Bar charts, line charts, pie charts, area charts, scatter plots, heatmaps, combo charts, waterfall charts, and funnel charts - all in one free online tool.

Secure & Private

SOC 2 compliant with end-to-end encryption. Your data is processed in real-time and never stored. Enterprise-ready security for sensitive business data.

Part of the Ada.im Ecosystem

ChartGen.ai is a core capability of Ada.im, a comprehensive AI-powered data analysis platform. For advanced features like automated reports, interactive dashboards, team collaboration, database connections, and presentation generation, explore the full Ada.im platform.

Learn more about Ada.im

Supported Chart Types

ChartGen.ai supports 9 professional chart types, each optimized for different data visualization needs. Click on any chart type to access the dedicated generator page with tutorials, examples, and instant creation. Our AI automatically recommends the best chart type based on your data structure and requirements.

Bar Chart

Compare values across categories with vertical or horizontal bars

Best for comparing discrete categories, showing rankings, or displaying survey results

Data format: Category column + one or more value columns

Examples: Sales by region, Product performance comparison, Employee counts by department

Line Chart

Visualize trends and changes over time with connected data points

Ideal for showing trends, time series data, and continuous measurements

Data format: Date/time column + one or more numeric value columns

Examples: Stock price over time, Website traffic trends, Temperature changes

Pie Chart

Show proportions and percentages of a whole

Perfect for displaying market share, budget allocation, or demographic breakdowns

Data format: Category column + single value column (will be converted to percentages)

Examples: Market share distribution, Budget allocation, Survey response breakdown

Area Chart

Emphasize volume and magnitude with filled areas under lines

Great for showing cumulative totals, stacked comparisons, or emphasizing volume

Data format: Date/time column + one or more numeric value columns

Examples: Cumulative revenue, Resource utilization over time, Stacked category trends

Scatter Plot

Reveal correlations and relationships between two variables

Essential for correlation analysis, outlier detection, and scientific research

Data format: Two numeric columns for X and Y axes, optional category for grouping

Examples: Height vs weight, Price vs demand, Marketing spend vs conversions

Heatmap

Visualize patterns in matrix data using color intensity

Excellent for correlation matrices, time-based patterns, and geographical density

Data format: Two category columns + one value column for color intensity

Examples: Website activity by hour/day, Correlation matrix, Geographic density

Combo Chart

Combine bars and lines for multi-metric visualization

Perfect for comparing metrics with different scales or showing actuals vs targets

Data format: Category column + multiple value columns (specify bar vs line series)

Examples: Revenue (bars) vs growth rate (line), Sales volume vs profit margin

Waterfall Chart

Show cumulative effect of sequential positive and negative values

Ideal for financial analysis, budget variance, and understanding incremental changes

Data format: Category column + value column (positive and negative values)

Examples: Profit & loss breakdown, Budget variance analysis, Inventory changes

Funnel Chart

Visualize sequential stages with decreasing values

Essential for sales pipelines, conversion funnels, and process optimization

Data format: Stage names column + value column (typically decreasing values)

Examples: Sales funnel stages, E-commerce conversion, Recruitment pipeline

Data Input Methods

ChartGen.ai offers multiple ways to get your data in. Choose the method that works best for your workflow - whether you're importing CSV files, Excel spreadsheets, or pasting data directly from your favorite spreadsheet application.

File Upload

Upload CSV or Excel files directly

  • Supported formats: .csv, .xlsx, .xls
  • Maximum file size: 10MB
  • Auto-detection of column types
  • Preview data before chart generation

Paste Data

Copy and paste data from spreadsheets

  • Paste directly from Excel, Google Sheets, or any spreadsheet
  • Tab-separated or comma-separated values
  • Automatic column header detection
  • Instant parsing and validation

Data Connectors

Connect to external data sources (Ada.im)

  • Google Sheets integration
  • Database connections (MySQL, PostgreSQL)
  • API data sources
  • Real-time data synchronization

Data Format Best Practices

Do:

  • Include column headers in the first row
  • Use consistent date formats (YYYY-MM-DD recommended)
  • Keep numeric columns clean (no currency symbols)
  • Use descriptive column names

Avoid:

  • Merged cells in Excel files
  • Multiple header rows
  • Special characters in column names
  • Empty rows or columns in the middle of data

Data Aggregation Methods

Aggregation is how ChartGen.ai summarizes your data. Understanding these methods helps you get exactly the visualization you need. Our AI automatically selects the most appropriate aggregation based on your data and natural language description, but you can override this choice at any time.

Sum

Add all values together

Total sales = $1,000 + $2,000 + $3,000 = $6,000

Best for: Revenue totals, quantity counts, cumulative metrics

Average

Calculate the mean of all values

Average price = ($10 + $20 + $30) / 3 = $20

Best for: Average order value, mean temperature, typical performance

Count

Count the number of records

Number of orders = 150 orders

Best for: Transaction counts, visitor counts, event frequency

Min

Find the smallest value

Lowest price = $5.99

Best for: Minimum temperature, lowest bid, earliest date

Max

Find the largest value

Highest score = 98 points

Best for: Peak performance, maximum capacity, record values

Count Distinct

Count unique values only

Unique customers = 45 (from 100 orders)

Best for: Unique visitors, distinct products sold, different categories

Color Themes & Customization

Choose from 12 professional color themes designed for business presentations, or use custom colors to match your brand. Each theme is carefully crafted to ensure optimal readability, accessibility, and visual appeal for data visualization.

Navy Blue

Ocean Teal

Royal Purple

Emerald Green

Coral Pink

Sky Blue

Forest Green

Amber Orange

Rose Pink

Slate Gray

Mint Cyan

Violet Dream

Export Options

Download your charts in various formats for presentations, reports, and web embedding. ChartGen.ai provides high-resolution exports suitable for professional use, with additional formats available through Ada.im.

PNG

Exclusive to Ada.im

High-quality raster image

2x resolution for sharp display

Best for: Presentations, documents, social media

PDF

Exclusive to Ada.im

Print-ready document

Vector-based, high quality

Best for: Reports, printing, archiving

Word

Exclusive to Ada.im

Editable Word document

Native .docx format

Best for: Business reports, documentation

PPT

Exclusive to Ada.im

PowerPoint presentation

Editable slides with charts

Best for: Meetings, stakeholder presentations

Webpage

Exclusive to Ada.im

Interactive HTML page

Responsive web embedding

Best for: Websites, blogs, online reports

Dashboard

Exclusive to Ada.im

Interactive dashboard

Real-time data visualization

Best for: Business intelligence, monitoring

API & Integrations

Integrate ChartGen.ai into your workflows using our REST API or pre-built connectors for popular automation platforms. Automate chart generation from databases, Google Sheets, and other data sources.

n8n Integration

Use our pre-built n8n workflow template to automate chart generation from any data source including Google Sheets, MySQL, PostgreSQL, and REST APIs. Perfect for automated reporting and business intelligence workflows.

View Integration Guide

Dify Plugin

Add AI-powered data visualization to your Dify applications with our official plugin for seamless chart generation. Build intelligent chatbots and AI agents that can create charts on demand.

View Integration Guide

Need API Access?

Get your API key from Ada.im to integrate ChartGen.ai capabilities into your own applications. Our REST API supports all 9 chart types with full customization options, JSON data input, and high-resolution image output.

Get API Key from Ada.im

Frequently Asked Questions

Find answers to common questions about ChartGen.ai and data visualization. Can't find what you're looking for? Contact us through Ada.im for additional support.

ChartGen.ai is a free AI-powered chart generator that transforms your data into professional visualizations in seconds. You can create 9 different chart types including bar charts, line charts, pie charts, area charts, scatter plots, heatmaps, combo charts, waterfall charts, and funnel charts. Simply upload your CSV or Excel file, describe what you want in plain English, and the AI generates a beautiful chart instantly. No design or coding skills required.

Yes, ChartGen.ai is a core product capability of Ada.im, a comprehensive AI-powered data analysis platform. While ChartGen.ai focuses specifically on chart generation and data visualization, Ada.im offers a complete suite of data analysis tools including automated reports, interactive dashboards, presentation generation, SQL query assistance, and more. For advanced data analysis capabilities beyond chart generation, you can register for a free account at ada.im.

ChartGen.ai supports CSV files (.csv) and Excel files (.xlsx, .xls). You can also paste data directly from any spreadsheet application like Microsoft Excel, Google Sheets, or Apple Numbers. The maximum file size for uploads is 10MB, and our AI automatically detects column types, date formats, and numeric values to make chart creation seamless.

Our advanced AI uses natural language processing to understand your chart requirements. It analyzes your description along with your data structure to determine: 1) The most appropriate chart type, 2) Which fields to use for categories and values, 3) The best aggregation method (sum, average, count, etc.), 4) Meaningful data insights to highlight. You can be as specific or general as you like - saying 'show me sales by region' or 'create a horizontal bar chart showing Q4 2024 revenue by product category sorted descending' both work.

ChartGen.ai supports: 1) Bar Charts - for comparing categories, 2) Line Charts - for trends over time, 3) Pie Charts - for proportions and percentages, 4) Area Charts - for volume and cumulative data, 5) Scatter Plots - for correlations and relationships, 6) Heatmaps - for matrix patterns and density, 7) Combo Charts - for multiple metrics on dual axes, 8) Waterfall Charts - for sequential changes, 9) Funnel Charts - for conversion pipelines. Each type can be customized with different color themes and configurations.

The best chart type depends on what you want to communicate: Use Bar Charts for comparing categories or rankings. Use Line Charts for showing trends over time. Use Pie Charts for displaying parts of a whole (percentages). Use Area Charts to emphasize volume or cumulative totals. Use Scatter Plots to show correlations between two variables. Use Heatmaps for pattern recognition in matrix data. Use Combo Charts when comparing metrics with different scales. Use Waterfall Charts for financial breakdowns. Use Funnel Charts for conversion or pipeline analysis.

ChartGen.ai supports six aggregation methods: 1) Sum - adds all values together, ideal for totals. 2) Average - calculates the mean, good for typical values. 3) Count - counts the number of records. 4) Min - finds the smallest value. 5) Max - finds the largest value. 6) Count Distinct - counts unique values only. The AI automatically selects the most appropriate aggregation based on your data and request, but you can easily change it after chart generation.

Yes! ChartGen.ai offers 12 professional color themes inspired by leading consulting firms. Available themes include Navy Blue, Ocean Teal, Royal Purple, Emerald Green, Coral Pink, Sky Blue, Forest Green, Amber Orange, Rose Pink, Slate Gray, Indigo, and Midnight. You can select a theme before generation or use the built-in color picker to specify custom colors. The AI will apply your preferred palette consistently across all chart elements.

ChartGen.ai allows you to download charts as high-quality PNG images (2x resolution) for free. For additional export options including SVG (scalable vector graphics for editing and web embedding) and PDF (print-ready documents), you can access these features through Ada.im. All exports maintain professional quality suitable for presentations, reports, and publications.

Yes, data security is our top priority. Your uploaded files are processed in real-time and are not permanently stored on our servers. All data transmission is encrypted using HTTPS/TLS. We never share your data with third parties. ChartGen.ai is SOC 2 compliant, making it suitable for enterprise use with sensitive business data.

ChartGen.ai offers 50 free charts per month with access to all 9 chart types and 12 color themes. This is sufficient for most individual users and small teams. For unlimited chart generation, advanced export options, team collaboration features, and access to the full Ada.im data analysis suite, you can upgrade to a premium plan.

ChartGen.ai can process datasets up to 10MB (approximately 100,000+ rows depending on columns). For larger datasets, the AI intelligently samples and aggregates data to ensure optimal chart performance. If you need to work with massive datasets or require real-time database connections, Ada.im offers enterprise solutions with higher limits and direct database integration.

To create a multi-series chart, ensure your data has a category column and multiple value columns. For example, for 'Sales by Region by Year', have columns for Region, 2022 Sales, 2023 Sales, and 2024 Sales. Then describe your chart: 'Create a grouped bar chart showing sales by region for each year'. The AI will automatically detect multiple series and display them with different colors.

In 'Auto' mode, ChartGen.ai's AI analyzes your data and natural language description to automatically determine the best chart type. This is ideal when you're not sure which visualization would work best. If you select a specific chart type from the dropdown, the AI will generate that exact type regardless of the data structure. Use Auto for exploration and specific types when you have a clear visualization goal.

Yes! After generating a chart, you can: 1) Change the aggregation method (sum, average, count, etc.), 2) Switch to a different color theme, 3) Regenerate with a modified prompt, 4) Request different insights. For advanced editing capabilities like custom titles, axis labels, and annotations, these features are available through the full Ada.im platform.

ChartGen.ai automatically detects date columns in your data. For time-series visualizations: 1) Ensure your date column is properly formatted (YYYY-MM-DD, MM/DD/YYYY, etc.), 2) Include numeric value columns you want to visualize, 3) Describe your chart like 'Show monthly revenue trend for 2024'. The AI will parse dates, aggregate by appropriate time periods, and create line or area charts showing trends over time.

ChartGen.ai handles missing values intelligently: 1) Numeric nulls are excluded from aggregations (won't affect averages), 2) Empty category values are grouped as 'Unknown' or 'Other', 3) The AI may suggest data cleaning if significant missing data is detected. For best results, clean your data before uploading or specify how to handle missing values in your prompt.

ChartGen.ai is designed for professional use. The charts feature: 1) Clean, modern design suitable for executive presentations, 2) 12 professional color themes, 3) High-resolution PNG exports (2x), 4) Consistent styling across all chart types. Many users create charts in ChartGen.ai and paste them directly into PowerPoint, Google Slides, or Keynote presentations.

For comparison charts, structure your data with a category column and value columns for each item being compared. Example: For 'Product A vs Product B sales by month', have columns for Month, Product A Sales, and Product B Sales. Then say 'Compare Product A and Product B sales over time'. For side-by-side category comparisons, use grouped bar charts. For trend comparisons, use line charts with multiple series.

After generating a chart, ChartGen.ai provides AI-generated insights including: 1) Key trends and patterns in your data, 2) Notable outliers or anomalies, 3) Percentage changes and comparisons, 4) Statistical observations like highest/lowest values. These insights help you understand your data quickly and can be included when sharing charts with stakeholders.

ChartGen.ai offers API integration through Ada.im for workflow automation. You can: 1) Use the n8n workflow template for automated chart generation, 2) Integrate with Dify for AI-powered data visualization in your applications, 3) Access the REST API for custom integrations. Visit our Integrations page for setup guides and API documentation.

For funnel charts, structure your data with: 1) A 'Stage' column containing funnel stages in order (e.g., 'Visitors', 'Leads', 'Opportunities', 'Customers'), 2) A 'Value' column with the count or amount at each stage. Then describe: 'Create a sales funnel chart showing conversion stages'. The AI will display stages as progressively narrowing sections with conversion rates between stages.

ChartGen.ai is a focused, free tool for AI-powered chart generation - perfect for quickly creating individual visualizations. Ada.im is the full-featured AI data analyst platform that includes: 1) All ChartGen.ai capabilities, 2) Automated report generation, 3) Interactive dashboards, 4) Presentation creation, 5) SQL query assistance, 6) Data connectors and real-time sync, 7) Team collaboration features, 8) Advanced export options. Use ChartGen.ai for quick charts; upgrade to Ada.im for comprehensive data analysis.

If you encounter issues: 1) Check your data format - ensure column headers are in the first row, 2) Verify file size is under 10MB, 3) Try simplifying your prompt, 4) Ensure date columns are consistently formatted, 5) Check for special characters in column names. If problems persist, try the 'Auto' mode first to let AI determine the best approach. For further assistance, contact support through Ada.im.

Ready to Create Amazing Charts?

Start transforming your data into stunning visualizations today. No signup required for basic use - create up to 50 free charts per month with all 9 chart types and 12 color themes.