Webplotdigitizer: Extract data from chart images

Understand the project

Practical overview

Use it when a chart or other visualization is available as an image but the numerical data behind it needs to be recovered for analysis.

Extract numerical data from images of plots and charts.
Digitize visualizations so their values can be used in research or industry analysis.
Build and host the frontend locally for development using the documented Docker workflow.

Before you choose

The README says users must sign up at automeris.io to use WebPlotDigitizer. The public frontend repository is licensed under GNU AGPL v3.

The hosted service's documented use requires signing up.
The repository documents both Docker and non-Docker local development workflows.
The frontend is AGPL-3.0 licensed; the README identifies AI Assist and other related cloud systems as closed source.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Build and host the application locally for development.

From the repository, run the command below to install dependencies, build, and host the application.
Documented command
```
docker compose up --build
```
Run the command below to rebuild.
Documented command
```
docker compose run wpd npm run build
```

A locally hosted development build; the README directs users to `http://localhost:8080/tests` for its test interface.

The instructions describe a development workflow and do not establish production deployment requirements.

Evidence and transparency

Source record details

Source availability: Active
Sources checked: 14 October 2026
Original website title: automeris-io/WebPlotDigitizer · Official homepage title · retained in its source language