Document Understanding
Document understanding AI can read, extract information from, and answer questions about documents like PDFs, invoices, contracts, and forms. This is one of the most immediately useful enterprise applications of multimodal AI.
10 min•By Priygop Team•Updated 2026
What Document Understanding AI Can Do
- Extract specific information from invoices: vendor name, date, total amount, line items
- Summarize long contracts and highlight key clauses
- Answer questions about document content: 'What is the payment due date?'
- Compare multiple documents and identify differences
- Extract data from forms and convert it to structured data
- Translate documents from one language to another
- Identify whether required information is missing from a document
Practical Example: Invoice Data Extraction
Practical Example: Invoice Data Extraction
# Concept: extracting structured data from a document image using AI
# This illustrates what you can build with a multimodal AI API
def extract_invoice_data_concept():
"""
Shows the concept of using multimodal AI for document extraction.
In practice, you would send the document image to an AI API.
"""
# This is the prompt you would send along with the invoice image
extraction_prompt = """
Analyze this invoice image and extract the following information.
Return the result as a JSON object with these exact fields:
{
"vendor_name": "company or person who issued the invoice",
"invoice_number": "the invoice ID or reference number",
"invoice_date": "date the invoice was issued (YYYY-MM-DD format)",
"due_date": "payment due date (YYYY-MM-DD format)",
"total_amount": "total amount due as a number",
"currency": "currency code (USD, EUR, GBP, etc.)",
"line_items": [
{"description": "item description", "quantity": 1, "unit_price": 0, "total": 0}
]
}
If any field is not visible in the invoice, use null for that field.
"""
# Example of what the AI would return given an invoice image
example_response = {
"vendor_name": "Acme Software Solutions",
"invoice_number": "INV-2024-0847",
"invoice_date": "2024-07-15",
"due_date": "2024-08-14",
"total_amount": 2450.00,
"currency": "USD",
"line_items": [
{"description": "Monthly SaaS License - 5 users", "quantity": 5, "unit_price": 490.00, "total": 2450.00}
]
}
import json
print("Prompt sent to AI (along with invoice image):")
print(extraction_prompt)
print()
print("AI response (structured data extracted from invoice):")
print(json.dumps(example_response, indent=2))
print()
print("This extracted data can be imported directly into accounting software.")
extract_invoice_data_concept()Diagram
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Deep Learning ⊂ Machine Learning ⊂ Artificial Intelligence
Key Takeaways
- Document understanding AI can read, extract information from, and answer questions about documents like PDFs, invoices, contracts, and forms.
- Extract specific information from invoices: vendor name, date, total amount, line items
- Summarize long contracts and highlight key clauses
- Answer questions about document content: 'What is the payment due date?'