This n8n workflow automates the process of uploading a PDF file to Adobe PDF Services, triggering a PDF extraction operation, and retrieving the processed result. Designed for seamless PDF analysis, this workflow can be used for tasks such as extracting tables and text from PDFs, making it ideal for document processing automation.
The workflow begins with a manual trigger, allowing users to initiate the process easily. It authenticates with Adobe’s API by obtaining a token, then uploads a specified PDF file from Dropbox via a PUT request. Using the Adobe PDF API, it creates an asset and calls the extraction endpoint with specific parameters such as table extraction and text element extraction.
Once the request is sent, the workflow waits for 5 seconds to ensure processing is complete, then attempts to download the transformed PDF or extracted data from the provided URL. Based on the processing status (in progress or failed), the workflow either proceeds to finalize or handle errors accordingly. Additional notes include creating custom credentials for API authentication, making this a flexible automation for PDF data extraction tasks.
This workflow is particularly useful for businesses that handle large volumes of PDFs and require automated extraction of structured data like tables or text, streamlining data analysis and reporting.
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