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  3. Extracting Data from Images or PDFs to Create Tables in SheetXAI

Extracting Data from Images or PDFs to Create Tables in SheetXAI

Overview

SheetXAI makes it incredibly easy to convert information from images and PDFs into structured tables in Google Sheets. Instead of manually transcribing data from these formats, you can use our AI-powered extraction tool to automatically convert visual information into spreadsheet data.

How to Extract Data from Images or PDFs

Step 1: Open SheetXAI in Google Sheets

  • Open your Google Sheets document
  • Access SheetXAI from the sidebar or Extensions menu

Step 2: Upload Your Image or PDF

  • Click the "Add Image/PDF" button in the SheetXAI sidebar
  • Select the file you want to extract data from
  • The file will be uploaded and processed by our AI vision system

Step 3: Ask SheetXAI to Extract the Data

  • After uploading, simply ask SheetXAI to extract the data
  • Example prompt: "Extract the table from this image and create a spreadsheet"
  • For specific data, you can be more precise: "Extract the financial data from Q2 in this PDF"

Step 4: Review and Confirm

  • SheetXAI will show you a preview of the extracted data
  • Review the information for accuracy
  • Confirm to have the data inserted into your spreadsheet

Supported File Types and Data

  • Images: JPG, PNG
  • PDFs: Single and multi-page documents 
  • Data Types: Tables, charts, graphs, receipts, invoices, financial statements, etc.
  • File Size Limit: 20MB

Best Practices for Optimal Results

  • Use high-resolution images with clear text
  • Ensure tables have distinct borders or clear spacing
  • For multi-page PDFs, specify which page contains the data you need
  • For complex documents, extract one table at a time

Use Cases

  • Convert printed reports into editable spreadsheets
  • Extract financial data from statements or invoices
  • Transform charts and graphs into numerical data
  • Digitize receipts for expense tracking
  • Convert handwritten tables (with reasonably clear handwriting)

Limitations

  • Very complex or heavily formatted tables may require some manual adjustment
  • Low-resolution images or scanned documents with poor quality may produce less accurate results
  • Handwritten text recognition varies based on legibility

This simple yet powerful feature eliminates the tedious process of manually entering data from visual formats, saving you time and reducing errors in your data entry workflow.


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