Skip to main content

Extract Tables

Extracts tables from documents using Google Document AI.

Common Properties​

  • Name - The custom name of the node.
  • Color - The custom color of the node.
  • Delay Before (sec) - Waits in seconds before executing the node.
  • Delay After (sec) - Waits in seconds after executing node.
  • Continue On Error - Automation will continue regardless of any error. The default value is false.
info

If the ContinueOnError property is true, no error is caught when the project is executed, even if a Catch node is used.

Inputs​

  • File Path - The local file path of the document to process.
  • MIME Type - The MIME type of the document. If not provided, it will be auto-detected.

Output​

  • Pages - An array of pages, each containing extracted tables.

Options​

  • Credentials - Google Document AI credentials used to authenticate with the service.
  • Project Id - The Google Cloud project ID associated with your Document AI processor.
  • Location - The location of the Document AI processor. Default is "eu".
  • Processor Id - The ID of the Document AI processor to use for table extraction.

How It Works​

The Extract Tables node integrates with Google Document AI to extract tables from documents. When executed, the node:

  1. Validates the provided inputs (File Path, MIME Type)
  2. Authenticates with Google Document AI using the provided credentials
  3. Reads the specified document file
  4. Processes the document using the specified Document AI processor
  5. Extracts tables from the document
  6. Organizes the extracted tables by page
  7. Returns the organized results as output

Requirements​

  • Valid Google Document AI credentials
  • A valid Google Cloud project ID
  • A configured Document AI processor for table extraction
  • A valid local file path to a document
  • Valid processor ID and location

Error Handling​

The node will return specific errors in the following cases:

  • Empty or invalid File Path
  • Empty or invalid Project ID
  • Empty or invalid Processor ID
  • Google Document AI service errors
  • Unable to read the specified file
  • Invalid credentials

Usage Notes​

  • The File Path should point to a local document file (PDF, images, etc.)
  • If MIME Type is not provided, it will be auto-detected from the file content
  • The Project Id, Location, and Processor Id are required for Document AI processing
  • The output is organized by pages, with each page containing its extracted tables
  • Tables are extracted with their column headers and row data
  • This node is particularly useful for processing documents with tabular data
  • The Location option specifies the geographic location of your Document AI processor (e.g., "us", "eu")
  • Table data is returned in a structured format with columns and rows