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Extract Table from PDF in Power Automate

PDF4me Extract Table from PDF action intelligently extracts tabular data from PDF documents in Power Automate as structured JSON format. This powerful data extraction feature recognizes table structures, parses rows and columns, includes page location information, and returns data in array format, enabling automated data import, analysis, and integration with databases, Excel, and business systems across Microsoft 365 workflows.

Authenticating Your API Request

To access the PDF4me Web API through Power Automate, every request must include proper authentication credentials. Authentication ensures secure communication and validates your identity as an authorized user, enabling seamless integration between your Power Automate flows and PDF4me's powerful table extraction services.

Extract Table from PDF Power Automate

Key Features

  • Intelligent Table Recognition: Automatically detect and parse table structures
  • JSON Output: Receive structured data in JSON array format
  • Page Location: Track which page contains each extracted table
  • Row/Column Parsing: Extract data with row and column structure preserved
  • Multiple Tables: Extract all tables from multi-page documents

Parameters

Complete list of parameters for the Extract Table from PDF action. Configure these parameters to control table extraction.

Important: Parameters marked with an asterisk (***) are required and must be provided for the action to function correctly.

ParameterTypeDescriptionExample
File Content***BinarySource PDF File Content
• Map PDF file from previous action
• PDF must contain tabular data
• Supports PDFs from SharePoint, OneDrive, email
• Can be dynamically retrieved from flows
[File Content from Get File]
File Name***StringPDF Document Name
• Name of the PDF file
• Used for processing identification
• Should include .pdf extension
• Supports dynamic naming
DataReport.pdf

Output

The PDF4me Extract Table from PDF action returns comprehensive output data for seamless Power Automate flow integration:

Table View

Response data in a structured table format:

ParameterTypeDescription
tableListArray of ObjectsArray containing all extracted tables with metadata
Page NumberIntegerPage number where the table is located
TableArray of ArraysTwo-dimensional array representing table structure
RowsArray of StringsIndividual row data from the table

Workflow Examples

The PDF4me Extract Table from PDF action in Power Automate provides comprehensive workflow templates designed for real-world business scenarios:

Automated Invoice Table Data Extraction

Transform invoice processing with automated table data extraction:

Complete Workflow Steps:

  1. Trigger: Invoice PDF received via email
  2. Get Invoice: Extract invoice PDF from email
  3. Extract Tables: Parse invoice line item table
  4. Parse Rows: Extract product, quantity, price from each row
  5. Calculate Totals: Sum extracted amounts for validation
  6. Import to System: Load line items to accounting database
  7. Verify Against PO: Match extracted data with purchase orders
  8. Email AP: Send extracted data summary for approval

Business Benefits:

  • Extracts data from 300+ invoice tables monthly
  • Eliminates manual line item entry saving 40 hours monthly
  • Reduces data entry errors by 95%
  • Accelerates invoice processing by 75%

Industry Use Cases & Applications

Finance & Accounting Use Cases

  • Invoice Line Items: Extract invoice table data for processing
  • Financial Reports: Parse financial statement tables
  • Expense Reports: Extract expense detail tables
  • Account Summaries: Parse account activity tables

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