Frequently Asked Questions
Everything you need to know about extracting data from graphs with Plot2Data. Can't find your answer? Join our Discord community.
Getting Started
What is Plot2Data?
Plot2Data is a free online tool that uses artificial intelligence to extract numerical data from graph images. You upload a graph image, and our AI analyzes it to return structured data in a table format that you can download as CSV.
How do I use Plot2Data?
Simply visit the home page, upload a graph image by dragging and dropping it, pasting from your clipboard (Ctrl+V), or using the file picker. Optionally adjust extraction settings, then click "Extract Data." The AI will analyze your graph and display the extracted data in a table within seconds.
Is Plot2Data free to use?
Yes, Plot2Data is completely free. There are no hidden charges, subscription fees, or usage limits. The service is supported by non-intrusive advertising.
Do I need to create an account?
No. Plot2Data requires no registration, login, or account creation. You can start extracting data immediately by visiting the website.
Supported Formats and Graph Types
What graph types does Plot2Data support?
Plot2Data supports 16 graph types: single line graphs, multi-series line graphs, line graphs with error bars, vertical bar graphs, horizontal bar graphs, stacked bar graphs, grouped bar graphs, scatter plots, scatter plots with trend lines, pie graphs, donut graphs, area graphs, box plots, histograms, candlestick graphs, and heatmaps. You can see examples of each on our Use Cases page.
What image formats can I upload?
Plot2Data accepts PNG, JPG/JPEG, SVG, and WebP image formats. For best results, use high-resolution images where the graph axes, labels, and data points are clearly visible.
Can I extract data from graphs in PDF files?
Plot2Data does not directly open PDF files. However, you can take a screenshot of the graph within the PDF and upload that screenshot. On most operating systems, you can use snipping tools (Windows Snipping Tool, macOS Screenshot, or browser extensions) to capture just the graph area.
Can Plot2Data handle graphs with multiple data series?
Yes. The AI can identify and separate multiple data series within a single graph. Each series is extracted into its own labeled section in the results table, making it easy to distinguish between different datasets.
Accuracy and Quality
How accurate is the data extraction?
Accuracy depends on the clarity and quality of the input image. For clean, high-resolution graphs with legible labels and well-defined data points, Plot2Data typically achieves high accuracy. Graphs with low resolution, overlapping elements, or unusual formatting may produce less precise results. We always recommend verifying extracted data against the original graph before using it in critical applications.
What factors affect extraction accuracy?
Several factors influence accuracy: image resolution (higher is better), graph clarity (clean lines and distinct colors help), axis label legibility, the number of data points (fewer points are generally more accurate), and whether data points overlap. 3D graphs and heavily stylized visualizations may be more challenging for the AI to interpret.
Can Plot2Data detect logarithmic scales?
Yes. Plot2Data includes a logarithmic scale detection feature. When enabled, the AI identifies whether the X-axis, Y-axis, or both use logarithmic scales (such as 10^n or log-spaced intervals) and adjusts the extracted values accordingly. This is particularly useful for scientific graphs covering wide ranges of values.
Features
What is the error bars extraction feature?
When enabled, Plot2Data extracts not only the central data values but also the upper and lower error bar values. This is essential for scientific and experimental data where measurement uncertainty is represented visually on the graph. The extracted error values appear as additional columns in your results.
What is the structural mechanics (S-S Curve) analysis?
This specialized feature is designed for engineering stress-strain curves. When enabled, Plot2Data extracts standard mechanical properties including Young's modulus (elastic modulus) and ultimate strength from stress-strain diagrams commonly found in materials science and structural engineering publications.
What does the axis data count setting do?
The X-axis and Y-axis data count settings let you specify how many data points you expect the AI to extract. Setting them to 0 (the default) enables auto-detection, where the AI determines the number of points on its own. Specifying a count can improve accuracy when you know the exact number of data points in the graph.
How do I export the extracted data?
Plot2Data offers two export options. You can copy individual data series to your clipboard with one click (ideal for pasting into spreadsheets), or you can download the entire dataset as a CSV file. CSV files can be opened in Excel, Google Sheets, Python (pandas), R, MATLAB, and virtually any data analysis tool.
Privacy and Data
Are my uploaded images stored on your servers?
No. Uploaded images are processed in real-time and are not stored permanently. The image is sent to our analysis API, processed by the AI model, and the results are returned to your browser. We do not retain copies of your images after processing is complete.
Is my data secure?
Yes. All data transmission between your browser and our servers uses HTTPS encryption. The AI analysis is performed through Google's secure API infrastructure. We do not share your uploaded images or extracted data with any third parties. For more details, see our Privacy Policy.
Does Plot2Data use cookies?
Plot2Data uses cookies for language preference storage and for displaying advertisements through Google AdSense. You can control cookie settings through your browser preferences. We do not use cookies to track your personal information or uploaded content.
Troubleshooting
The extraction failed. What should I do?
If extraction fails, try the following: ensure your image is clear and high-resolution, crop the image to show only the graph (remove surrounding text or headers), make sure the graph has visible axes and labels, and try a different image format (PNG generally works best). If the issue persists, the graph may use a format that is not currently supported.
The extracted data looks incorrect. How can I improve results?
For better accuracy, try these tips: use the highest resolution image available, crop tightly around the graph, specify the expected data point count in the settings instead of using auto-detection, enable logarithmic scale detection if your graph uses log scales, and ensure the graph has clear axis labels and grid lines.
My graph type is not listed as supported. Will it still work?
Plot2Data may still be able to extract data from graph types not explicitly listed, as the AI model has broad visual understanding capabilities. However, accuracy may vary for unusual or highly specialized graph formats. We recommend trying the extraction and verifying the results. If you regularly need support for a specific graph type, let us know through our Discord community.
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