Your Digital Chart Repository
No-code chart builder for data files and tables
To CreateEmbedded Chartsand Analytical Reports
Upload Raw Data and Visualize It via Charts
Process CSV, XLS, XLSX, JSON, XML, HTML, and YAML files with advanced parsing and filtering capabilities, designed for professional data analysis.
Or Convert HTML Tables to Charts from Any Website
Use our free Chrome, Edge or Firefox add-ons to instantly transform HTML tables into interactive charts and save them for deeper data analysis.
Check Editable Table View or Try Magic Cleaning
Edit cells, add/remove rows and columns — all while viewing live chart updates. Or clean data just click on one button.
Use Advanced Data Filtering via Auto Grouping
Refine data using categorical grouping and numeric aggregations for precise analysis, or apply XYZ-axis filters to charts extracted from HTML tables.
Control Privacy. Share Charts Instantly.
Choose to make your chart private or public. You can instantly share your work via a direct link or embed it into any website using an iframe.
Activate Chart Data Analysis Report Generator
Generate comprehensive reports with key insights, trends, and recommendations from your saved data files or HTML data tables.
How to Generate Embed Charts and Data Reports:
Upload Your File or Load a Saved Chart
Upload CSV, XLS, XLSX, JSON, XML, HTML, or YAML files (up to 10 MB). Simply drag and drop your file, or generate charts via our browser extension and load them instantly.
Choose Your Chart Type
Select from a wide range of chart styles to best represent your data. Apply advanced filters to refine and visualize key insights. Adjust axes and labels for customization.
Save, Share, and Embed Your Chart
Securely store your charts and reports, access a variety of chart formats, and share them instantly with your team or audience. Easily embed any chart anywhere using an iframe
Generate Data Reports
Create professional reports with dataset summaries, key metrics, trend analysis, and actionable insights. Automatically detect patterns and anomalies for better data reading.