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DataFromChart vs WebPlotDigitizer: Features and Workflow

Compare DataFromChart with WebPlotDigitizer by chart support, extraction methods, project files, offline options, and export formats.

Illustration for "DataFromChart vs WebPlotDigitizer: Features and Workflow"

DataFromChart and WebPlotDigitizer both turn plotted marks into editable numerical data, but their feature boundaries differ. DataFromChart focuses on rectangular bar, column, line, scatter, and area workflows with spreadsheet-oriented output. WebPlotDigitizer supports a wider set of coordinate systems and combines manual tools, computer-vision algorithms, and AI Assist.

This comparison is based on the current WebPlotDigitizer documentation and DataFromChart’s published product pages, checked on 9 August 2026. For a wider tool list, see WebPlotDigitizer alternatives.

At a glance

DataFromChartWebPlotDigitizer
DeliveryHosted browser applicationCurrent browser application; archived v4 desktop builds
Image and document inputPNG, JPEG, SVG, PDFBrowser-supported images and multipage PDF
Coordinate systemsRectangular charts with linear, logarithmic, date, or categorical axesXY, bar, polar, ternary, map, image, and circular chart recorder
Manual extractionYesYes
Computer-vision extractionColour-based selectionColour masks and several extraction algorithms
AI assistanceOpt-in axis and point planningAI Assist plus computer-vision tools
Data exportCSV, TSV, XLSX, JSONCSV and clipboard
Project saveYesYes; .tar and .json documented
Source image in an output fileOptional in XLSXIncluded in .tar project files
Offline optionNoArchived v4 desktop builds; current v5 is browser-based

Chart and axis support

DataFromChart is built for familiar rectangular charts. It supports linear, logarithmic, date, and categorical axes across bar, column, line, scatter, and area workflows. It does not currently calibrate polar, ternary, map, or image-coordinate plots.

WebPlotDigitizer’s current documentation covers 2D XY, bar, polar, ternary, map or microscope images, generic image coordinates, and circular chart recorders. That breadth is the clearest deciding factor when the chart is outside a standard rectangular coordinate system.

Calibration and extraction

Both tools let the user place calibration references and add, move, or delete data points manually.

DataFromChart also provides colour-based extraction with a tolerance preview. Its optional AI workflow proposes chart classification, axes, and points for supported images; the user can adjust the result before export.

WebPlotDigitizer provides region-of-interest masks, colour selection, and multiple automatic algorithms. Its documentation lists averaging-window, interpolation, template-matching, bar, histogram, and blob-detection workflows. Version 5 also provides AI Assist for parts of chart setup and extraction.

Neither feature list removes the need to inspect the points against the source image, especially when series overlap or labels and gridlines share the data colour.

Export and review

DataFromChart exports CSV, TSV, XLSX, and JSON. Its XLSX option can include the chart image and axis labels beside the recovered table, which is useful when a spreadsheet is the review artefact.

WebPlotDigitizer exports data as CSV or through the clipboard. It can also save a .tar project containing the image, calibration settings, and points, or a .json project without the image. Those project files are useful when another WebPlotDigitizer user needs to reopen the extraction state.

The relevant distinction is not simply “spreadsheet versus CSV”: DataFromChart packages review context into XLSX, while WebPlotDigitizer preserves tool state in its own project format.

Hosted and offline workflows

DataFromChart is a hosted browser application. A prepared sample works without an account; uploading a user’s own chart requires registration. AI assistance is optional, and manual or colour-based extraction does not require the purchase of AI credits.

The current WebPlotDigitizer v5 experience is browser-based. Automeris separately keeps the archived v4 application and desktop downloads available for Windows, macOS, and Linux. Its v5 release note says the current AI Assist path may upload images to a model provider, so users with confidential material should review that documentation before enabling the feature.

When DataFromChart fits

Consider DataFromChart when:

  • the chart is a rectangular bar, column, line, scatter, or area plot;
  • CSV, TSV, modern XLSX, or JSON is the required output;
  • the workbook should retain the source chart for review;
  • manual, colour-based, and optional AI-assisted methods should remain in one project; or
  • a browser workflow is acceptable.

When WebPlotDigitizer fits

Consider WebPlotDigitizer when:

  • the chart uses polar, ternary, map, image, or circular-recorder coordinates;
  • its region masks or specialist automatic algorithms match the source;
  • a .tar or .json project must be reopened in the same tool;
  • an archived desktop version satisfies an offline requirement; or
  • a method or collaborator explicitly requires WebPlotDigitizer.

How to compare them on your work

Use a chart for which the original values are available. In each tool, use the same image, calibration ticks, and target series. Inspect point placement, correction steps, and whether the exported artefact contains the context your reviewer or downstream process needs.

Inspect the DataFromChart workflow first. Open a prepared sample without an account, or register to upload your own chart.

Sources

See also

Try it on your own chart

Create a free account to upload an image or PDF, calibrate the axes, and export CSV or XLSX. Or start with a built-in sample without signing in.

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