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Quickstart output: Python SDK prebuilt-invoice model (beta)

Reference documentation | Library source code | Package (Maven) | Samples

You can get started using the Azure Form Recognizer layout model with the Java programming language quickstart. The layout model analyzes and extracts tables, lines, words, and selection marks like radio buttons and check boxes from forms and documents, without the need to train a model. Here is the expected outcome from the prebuilt-invoice model quickstart code:

Prebuilt-invoice output

----------- Analyzing invoice  0 -----------

Analyzed document has doc type invoice with confidence : 1.00

.Vendor Name: CONTOSO LTD., confidence: 0.92

Vendor address: 123 456th St New York, NY, 10001, confidence: 0.91

Customer Name: MICROSOFT CORPORATION, confidence: 0.84

Customer Address Recipient: Microsoft Corp, confidence: 0.92

Invoice ID: INV-100, confidence: 0.97

Invoice Date: 2019-11-15, confidence: 0.97

Invoice Items:

Description: Test for 23 fields, confidence: 0.93s

Quantity: 1.000000, confidence: 0.97