# ChartGen.ai > ChartGen.ai is a free AI-powered chart generator that transforms raw data into professional visualizations in seconds. Users can upload CSV/Excel files, paste data directly, describe visualization needs in natural language, and get beautiful, export-ready charts instantly. No signup required. ChartGen.ai is developed by Ada.im, an AI-native data analysis platform. The tool specializes in converting raw data into 9+ chart types using AI, making data visualization accessible to everyone regardless of technical skills. Key capabilities: - Natural language to chart conversion (describe what you want, AI creates it) - Supports CSV, Excel (.xlsx/.xls), and direct data paste - 9 chart types: Bar, Line, Pie, Area, Scatter, Heatmap, Combo, Waterfall, Funnel - 12 professional color themes - 6 export sizes optimized for presentations, social media, and documents - One-click PNG export - No signup required for core features - SOC 2 compliant data security ## Docs - [Documentation](https://chartgen.ai/resources/documentation): Complete guide to using ChartGen.ai features - [Tutorials](https://chartgen.ai/resources/tutorials): Step-by-step tutorials for creating different chart types - [Chart Atlas](https://chartgen.ai/resources/chart-atlas): Visual guide to 72 chart types with use cases and examples ## Features - [AI Chart Generator](https://chartgen.ai/product/ai-chart-generator): Main product page for the AI-powered chart creation tool - [Bar Chart Generator](https://chartgen.ai/features/bar-chart-generator): Create bar charts for comparing values across categories - [Line Chart Generator](https://chartgen.ai/features/line-chart-generator): Create line charts for showing trends over time - [Pie Chart Generator](https://chartgen.ai/features/pie-chart-generator): Create pie charts for part-to-whole relationships - [Area Chart Generator](https://chartgen.ai/features/area-chart-generator): Create area charts for cumulative data visualization - [Scatter Plot Generator](https://chartgen.ai/features/scatter-plot-generator): Create scatter plots for correlation analysis - [Heatmap Generator](https://chartgen.ai/features/heatmap-generator): Create heatmaps for pattern recognition in matrix data - [Combo Chart Generator](https://chartgen.ai/features/combo-chart-generator): Create combination charts with multiple data series - [Waterfall Chart Generator](https://chartgen.ai/features/waterfall-chart-generator): Create waterfall charts for sequential value changes - [Funnel Chart Generator](https://chartgen.ai/features/funnel-chart-generator): Create funnel charts for conversion analysis ## Blog - [How to Choose the Right Chart](https://chartgen.ai/resources/blog/how-to-choose-the-right-chart-type-for-your-data): Guide to selecting the best chart type for your data - [Pie Chart Complete Guide](https://chartgen.ai/resources/blog/pie-chart-complete-guide-when-to-use-best-practices): When to use pie charts and best practices - [Scatter Plot Guide](https://chartgen.ai/resources/blog/scatter-plot-correlation-analysis-complete-guide): Complete guide to correlation analysis with scatter plots - [Heatmap Guide](https://chartgen.ai/resources/blog/heatmap-data-visualization-complete-guide-examples): Heatmap visualization examples and use cases - [ChartGen vs Tableau](https://chartgen.ai/resources/blog/chartgen-vs-tableau-comparison-which-is-better): Comparison of ChartGen.ai and Tableau - [ChartGen vs Excel](https://chartgen.ai/resources/blog/chartgen-vs-excel-charts-comparison-which-is-better): Comparison of ChartGen.ai and Excel charts ## Company - [About Ada.im](https://chartgen.ai/company/about-ada): About the parent company and team behind ChartGen.ai ## Optional - [Blog Archive](https://chartgen.ai/resources/blog): All blog posts about data visualization - [Integrations](https://chartgen.ai/product/integrations): Integration options with other tools