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Combine and Join Tables From Your PDF Data – Free Template

Combine and join tables from your PDF data without writing a single line of code.

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Pull from PDF file Source
Combine tables Transform
Generate your results Output
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How it works

Transform your data in five easy steps using Parabola's drag-and-drop interface, powered by AI.

  1. 1
    Set up your data source by creating a new Parabola flow and uploading your PDF files.
  2. 2
    Extract data from your PDFs using Parabola's PDF parsing tools. This converts your document information into structured tables.
  3. 3
    Define your join conditions by identifying the common fields between tables. This ensures accurate data relationships.
  4. 4
    Use Parabola's transformation tools to create the join operations. This step lets you specify how tables should be combined and what information to include.
  5. 5
    Generate your results by previewing the joined data and running your automated flow. Once set up, this process will handle new PDFs automatically.
Why this template

How to use PDFs

Parabola extracts and transforms data from PDF documents.

  • Automatic text extraction from both searchable and scanned PDFs
  • Parsing options for structured and unstructured PDF content
  • Batch processing capabilities for multiple PDF files

Retrieving data from PDFs

Parabola's PDF data extraction converts PDF documents into structured, analyzable data. The platform handles various PDF formats and layouts.

Key features

  • Text and table extraction
  • Multi-page document support
  • Pattern recognition
  • Structured data output
  • Batch processing capability

How to use

  1. Add the Pull from PDF file step to your Flow
  2. Upload your PDF file
  3. Configure extraction settings, including column names and keys
  4. Run the step to extract the data
  5. Add examples and fine tune your extraction settings for more accurate parsing

Combine tables

The Combine tables step in Parabola merges data sets from different sources based on matching columns – mirroring the functionality of a vlookup in Excel.

Key features

  • Multiple joining methods (inner, left, right, full outer)
  • Column matching flexibility
  • Automatic data type handling
  • Duplicate handling options

How to use

  1. Add the Combine tables step to your Flow
  2. Connect the two datasets you'd like to join to the Combine tables step
  3. Choose the join type
  4. Map the matching columns
  5. Specify whether you'd like to match where any values match or all values
  6. Update results to preview the output and make edits as necessary

Practical use cases and examples

Financial report consolidation

Combine quarterly financial reports stored in separate PDFs into a single dataset for trend analysis and year-over-year comparisons.

Inventory management

Merge inventory reports from different warehouse locations stored in PDF format into one view of stock levels and movement across locations.

Sales performance analysis

Combine sales reports from different regions or time periods stored in PDFs into a unified sales dashboard.

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