Fine-Tune (Uptrain) PDF Parsing Models (No Code in GCP)
Learn how to create a custom PDF parser using Google Cloud's Document AI service. This video tutorial walks through the steps to train a state-of-the-art parsing model on your specific document structures and styling, using labeled training data. See how to easily configure a dataset, import and auto-label documents, refine the schema, and train a custom model to extract key fields like supplier details, invoice IDs, due dates, line items and totals. Once trained, the model can be deployed and used via API. Get the most out of Document AI for your unique PDF parsing needs.
Demonstration Diagram: https://github.com/nodematiclabs/pdf-...
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0:00 Conceptual Overview
1:10 Document AI Processors
2:00 Document Dataset
3:13 Processor Schema
6:05 Training and Testing
8:53 Model Uptraining
10:03 Deployment and Evaluation