Azure AI Document Intelligence extracts data from forms, receipts, and documents, automating tedious tasks. With prebuilt and custom models, it’s perfect for finance, healthcare, and more. Let’s explore how to use it effectively.
Prebuilt Models for Common Documents
Prebuilt models handle:
- Receipts: Extract merchant, date, total.
- Invoices: Vendor, amount, line items.
- Business Cards: Name, email, phone.
Example API call:
pythonfrom azure.ai.documentintelligence import DocumentIntelligenceClient client = DocumentIntelligenceClient(endpoint, credential) poller = client.begin_analyze_document("prebuilt-receipt", document) result = poller.result()
Prebuilt Model ExampleUse Case: An expense app extracts totals from scanned receipts.
Training Custom Models
For unique forms, train custom models:
- Classification: Label document types (e.g., invoice vs. contract).
- Extraction: Label specific fields (e.g., invoice number).
Steps:
- Upload 5+ sample documents to Document Intelligence Studio.
- Label fields or classes.
- Train and deploy the model.
Example: Extract cargo details from shipping manifests.
Accuracy and Confidence Scores
Custom models provide accuracy scores after training, and predictions include confidence scores. Retrain with more data to improve performance.
Connecting to Apps
Integrate with SDKs:
csharpvar client = new DocumentIntelligenceClient(new Uri(endpoint), new AzureKeyCredential(key)); var operation = await client.AnalyzeDocumentAsync(WaitUntil.Completed, "custom-model-id", fileUri);
Use Case: Automate invoice processing in an ERP system.
Azure AI Document Intelligence saves time and reduces errors—start automating today!