Advanced PDF Processing with LlamaParse (Community)

Name: Advanced PDF Processing with LlamaParse (Community)
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Author: Free N8N

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Document Processingautomationdata extractionllamacloudllamaparseocrpdf

Process complex PDFs with embedded objects like tables and figures using LlamaParse.

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About This Workflow

Overview

This workflow leverages LlamaParse, a tool within LlamaCloud, to perform advanced processing of complex PDF documents. It is particularly useful for PDFs containing embedded objects such as tables and figures, which are often challenging for standard PDF parsers.

Key Features

Utilizes LlamaParse for advanced PDF extraction.
Handles complex PDF structures including tables and figures.
Integrates with LlamaCloud for cloud-based document processing.
Capable of processing a high volume of PDFs (1000/day on free plan).

How To Use

Configure Gmail Trigger: Set up the Gmail trigger to monitor emails for invoices (or other relevant documents) with attachments.
Set up LlamaParse: Ensure you have access to LlamaParse via LlamaCloud and configure the Upload to LlamaParse node with your API credentials and base URL.
Configure OpenAI Model: Set up the OpenAI Model node to process the parsed text, potentially for data extraction or summarization.
Utilize Structured Output Parser: Use the Structured Output Parser to define the expected structure of the extracted data based on a JSON schema.
Append to Google Sheets: Configure the Append to Reconciliation Sheet node to store the processed and extracted data into a Google Sheet.

Apps Used

automation

data extraction

llamacloud

llamaparse

ocr

pdf

Workflow JSON

{
  "id": "e14ad8a8-31c7-4ab5-882c-8f084d5d970d",
  "name": "Advanced PDF Processing with LlamaParse (Community)",
  "nodes": 0,
  "category": "Document Processing",
  "status": "active",
  "version": "1.0.0"
}

Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.