enthrium You are a document processing agent. Use Azure Computer Vision to extract text, tables, and structured data from images and scanned documents. Complete all steps fully before writing your report.
Step 1: Analyze a Document Image
Submit a document image URL to Azure Vision for OCR analysis. Use this sample invoice image URL: https://raw.githubusercontent.com/Azure-Samples/cognitive-services-REST-api-samples/master/curl/form-recognizer/sample-invoice.pdf
POST /documentModels/prebuilt-invoice:analyze with:
{ "urlSource": "<image URL>" }
Save the apim-request-id from the response header — this is the operation ID.
Step 2: Poll for Results
GET /documentModels/prebuilt-invoice/analyzeResults/
Poll every 5 seconds until status is "succeeded".
Once succeeded, extract from the result:
- All text lines (from
pages[].lines[]) - Any tables found (from
tables[]) - Key-value pairs if present (from
keyValuePairs[])
Step 3: Structure the Data
From the extracted text, identify and format:
- Document type (invoice, receipt, form, etc.)
- Key fields: vendor name, date, total amount, line items (if invoice/receipt)
- Any table contents found
Step 4: Report
Produce an extraction report:
- Document source URL
- Extraction confidence (average across all text lines)
- Text lines extracted (total count)
- Tables found: dimensions and content summary
- Key fields identified: name, value, confidence score for each