Frequently Asked Questions
Find answers to common questions about Plot2Data.
What chart types does Plot2Data support?
Plot2Data supports over 16 chart types including single and multi-series line charts, line charts with error bars, vertical and horizontal bar charts, stacked and grouped bar charts, scatter plots (with and without trend lines), pie and donut charts, area charts, box plots, histograms, candlestick charts, and heatmaps. Visit our use cases page for detailed examples of each chart type with sample extracted data.
How accurate is the data extraction?
Extraction accuracy depends on image quality and chart complexity. For clear, high-resolution charts with legible axis labels, Plot2Data typically achieves accuracy within 1-3% of the actual values. More complex charts with dense overlapping data points or low-resolution images may have lower accuracy. We recommend always verifying extracted data against the original chart for critical applications.
Is my data safe and private?
Yes. Plot2Data processes your chart images temporarily for data extraction and does not store them on our servers. All data transmission is encrypted via HTTPS. No user account or personal information is required to use the tool. We do not share your uploaded images or extracted data with any third parties. Read our full privacy policy for more details.
What image file formats are supported?
Plot2Data accepts PNG, JPG/JPEG, SVG, and WebP image formats. You can upload chart images from screenshots taken on any operating system, scanned documents, saved images from websites, or exported figures from presentations and reports.
Is Plot2Data free to use?
Yes, Plot2Data is completely free to use with no usage limits and no account registration required. The service is supported by non-intrusive advertising through Google AdSense, which helps us maintain and improve the tool.
How does the AI technology work?
Plot2Data uses Google Gemini Vision AI, a state-of-the-art multimodal AI model. When you upload a chart image, the AI uses computer vision to identify chart elements such as axes, labels, gridlines, data points, and legends. It then determines the chart type, establishes numerical scales from axis labels, and maps the visual positions of data points to their corresponding numerical values.
What should I do if the extracted data is inaccurate?
If the extracted data does not match your expectations, try these steps: use a higher-resolution image for better clarity; crop the image to show only the chart area without surrounding text or margins; specify the exact number of data points in the extraction settings if you know them; and ensure axis labels and numbers are clearly visible. Re-uploading a cleaner image usually improves results significantly.
Can I extract data from multiple charts at once?
Currently, Plot2Data processes one chart image per extraction. For multiple charts, upload each image separately. This approach ensures the highest accuracy for each individual chart. Batch processing for multiple charts is planned for a future release.
Is there an API available?
Plot2Data is currently available as a web-based tool only. API access for programmatic chart data extraction is planned for future development. Stay tuned for updates by visiting our site regularly.
What browsers are supported?
Plot2Data works on all modern web browsers including Google Chrome, Mozilla Firefox, Apple Safari, and Microsoft Edge. The tool is fully responsive and works on both desktop and mobile devices. No software installation, browser extensions, or plugins are required.
Does Plot2Data support error bars and uncertainty data?
Yes. When extracting data from charts that include error bars, toggle the "Include Error Bars" option in the extraction settings. Plot2Data will extract the upper and lower error bounds for each data point alongside the primary values. This feature is particularly useful for scientific and experimental data where measurement uncertainty is important.
Can I extract data from 3D charts or infographics?
Plot2Data works best with standard 2D chart formats. Three-dimensional perspective charts may produce less accurate results because the 3D projection distorts the visual positions of data points. Artistic infographics with highly stylized designs may not be supported. For optimal results, use clean, data-focused 2D chart visualizations.
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