The introduction of adding images or documents (in preview) as input parameter in custom GPT prompt makes it easier for non technical users to extract specific fields without the need for pre-training models with sample data. This reduces the time and effort spent on preparing and fine-tuning custom models for document processing.

Features & Benefits:

✅ Save time on automating document related tasks like summarizing reports, classifying documents, or extracting content from invoices

✅ Reduces the manual effort in setting up & training custom AI models for document processing thereby accelerating deployment of Intelligent document and image processing solutions

✅ Allow setting up of workflow using simple natural language commands

✅ Allow leveraging AI Builder prompt in Power Automate or Power Apps

✅ Boost productivity and efficiency by intuitively allowing users to design complex workflows without requiring advanced technical skills.

✅ Intelligent document processing workflow enhances the accuracy and speed of routine tasks

In this YouTube video, I have demonstrated the detailed steps to extract data from structured invoice pdf file sent through email without setting up custom document processing AI model.

Additionally, you will learn:

📌 Setting up custom GPT prompt with input file parameter & output JSON format.

📌 Calling custom prompt with file input in power automate cloud flow

📌 Configure Prase JSON using the schema of GPT response

📌 Add rows in Dataverse tables

📌 Set up lookup field for parent child table relationship (one to many) in Dataverse

🔔 𝘋𝘰𝘯’𝘵 𝘧𝘰𝘳𝘨𝘦𝘵 𝘵𝘰 𝘭𝘪𝘬𝘦 & 𝘴𝘶𝘣𝘴𝘤𝘳𝘪𝘣𝘦 𝘵𝘰 𝘮𝘺 YouTube 𝘤𝘩𝘢𝘯𝘯𝘦𝘭 𝘪𝘧 𝘺𝘰𝘶 𝘧𝘪𝘯𝘥 𝘵𝘩𝘪𝘴 𝘷𝘪𝘥𝘦𝘰 𝘶𝘴𝘦𝘧𝘶𝘭.