You are building an application that extracts information from invoices and receipts. You want to implement this application with minimal custom code and training. What should you do?
A.
Use the Cloud Vision API with TEXT_DETECTION type to extract text from the invoices and receipts, and use a pre-built natural language processing (NLP) model to parse the extracted text.
B.
Use the Cloud Document AI API to extract information from the invoices and receipts.
C.
Use Vertex AI Agent Builder with the pre-built Layout Parser model to extract information from the invoices and receipts.
D.
Train an AutoML Natural Language model to classify and extract information from the invoices and receipts.
B. Use the Cloud Document AI API to extract information from the invoices and receipts.
Why Option B?
Purpose-Built for Document Processing
Cloud Document AI (DocAI) is specifically designed for extracting structured information from invoices, receipts, and other business documents.
It uses pre-trained models that understand the layout, tables, and key-value pairs in structured documents.
Minimal Custom Code and No Training Required
No need to train a custom model—DocAI automatically extracts fields like total amount, invoice number, date, and vendor name.
Reduces development effort significantly compared to training a model from scratch.
Highly Accurate and Optimized for Business Documents
Supports OCR, entity extraction, and key-value pair detection out of the box.
Handles variations in invoice formats automatically, unlike generic OCR solutions.
upvoted 1 times
...
Log in to ExamTopics
Sign in:
Community vote distribution
A (35%)
C (25%)
B (20%)
Other
Most Voted
A voting comment increases the vote count for the chosen answer by one.
Upvoting a comment with a selected answer will also increase the vote count towards that answer by one.
So if you see a comment that you already agree with, you can upvote it instead of posting a new comment.
tk786786
1 day, 21 hours ago