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    Table & Graph Digitiser within the PDF Viewer

    April 9, 2026

    EnhancementChangelog

    EasySLR now supports an integrated Table and Graph Digitiser within the PDF viewer, enabling users to extract and utilise data directly from tables and figures.

    Overview

    Extracting data from tables and graphs in research papers is often time-consuming—especially when dealing with image-based content.

    With this update, users can digitise tabular and graphical data directly within the PDF interface, review the extracted values, and add them to the data extraction form.

    What’s New

    1. In-PDF Table Extraction

    • Detect and extract data from tables within PDFs

    • Converts tables into editable, structured formats

    2. Graph Digitisation

    • Extract numerical values from graphs and charts

    • Supports:

      • Line graphs

      • Bar charts

      • Scatter plots

    • Enables capture of multiple data points for analysis

    3. “View” Extracted Values

    • After AI run, users can click on the PDF outline, click “View” to see all the values

    • Displays structured data in an easy-to-review format

    How It Works

    1. Open the PDF in EasySLR

    2. Click on the PDF outline

    3. Select the Table or Graph 

    4. Click “View” to access the data

    5. Add relevant values directly to the data extraction window

    Why This Matters

    This enhancement helps teams:

    • Extract complex data faster and more accurately

    • Reduce manual effort and errors

    • Seamlessly move from data capture to structured extraction

    • Improve efficiency in meta-analysis workflows

    Important Notes

    • Manual validation is recommended for accuracy

    • Results may vary based on PDF quality and resolution

    • Users retain full control to edit and verify extracted data

    Summary

    With the Table & Graph Digitiser within the PDF viewer, EasySLR enables you to:

    • Extract data directly from visual content

    • Review values instantly using the “View” option

    • Add data seamlessly into the extraction workflow


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