# This is an automatically generated code sample.
# To make this code sample work in your Oracle Cloud tenancy,
# please replace the values for any parameters whose current values do not fit
# your use case (such as resource IDs, strings containing ‘EXAMPLE’ or ‘unique_id’, and
# boolean, number, and enum parameters with values not fitting your use case).
import oci
# Create a default config using DEFAULT profile in default location
# Refer to
# https://docs.cloud.oracle.com/en-us/iaas/Content/API/Concepts/sdkconfig.htm#SDK_and_CLI_Configuration_File
# for more info
config = oci.config.from_file()
# Initialize service client with default config file
ai_document_client = oci.ai_document.AIServiceDocumentClient(config)
# Send the request to service, some parameters are not required, see API
# doc for more info
analyze_document_response = ai_document_client.analyze_document(
analyze_document_details=oci.ai_document.models.AnalyzeDocumentDetails(
features=[
oci.ai_document.models.DocumentKeyValueExtractionFeature(
feature_type="KEY_VALUE_EXTRACTION",
model_id="ocid1.test.oc1..<unique_ID>EXAMPLE-modelId-Value")],
document=oci.ai_document.models.InlineDocumentDetails(
source="INLINE",
data="GEIu5N5ZgLTHbKcagkTe"),
compartment_id="ocid1.test.oc1..<unique_ID>EXAMPLE-compartmentId-Value",
output_location=oci.ai_document.models.OutputLocation(
namespace_name="EXAMPLE-namespaceName-Value",
bucket_name="EXAMPLE-bucketName-Value",
prefix="EXAMPLE-prefix-Value"),
language="EXAMPLE-language-Value",
document_type="INVOICE",
ocr_data=oci.ai_document.models.AnalyzeDocumentResult(
document_metadata=oci.ai_document.models.DocumentMetadata(
page_count=162,
mime_type="EXAMPLE-mimeType-Value"),
pages=[
oci.ai_document.models.Page(
page_number=513,
dimensions=oci.ai_document.models.Dimensions(
width=3269.214,
height=5969.6714,
unit="PIXEL"),
detected_document_types=[
oci.ai_document.models.DetectedDocumentType(
document_type="EXAMPLE-documentType-Value",
confidence=0.30255795)],
detected_languages=[
oci.ai_document.models.DetectedLanguage(
language="EXAMPLE-language-Value",
confidence=0.24305838)],
words=[
oci.ai_document.models.Word(
text="EXAMPLE-text-Value",
confidence=0.85005873,
bounding_polygon=oci.ai_document.models.BoundingPolygon(
normalized_vertices=[
oci.ai_document.models.NormalizedVertex(
x=0.09961319,
y=0.11510754)]))],
lines=[
oci.ai_document.models.Line(
text="EXAMPLE-text-Value",
confidence=0.02729559,
bounding_polygon=oci.ai_document.models.BoundingPolygon(
normalized_vertices=[
oci.ai_document.models.NormalizedVertex(
x=0.5527224,
y=0.8410008)]),
word_indexes=[523])],
tables=[
oci.ai_document.models.Table(
row_count=242,
column_count=618,
header_rows=[
oci.ai_document.models.TableRow(
cells=[
oci.ai_document.models.Cell(
text="EXAMPLE-text-Value",
row_index=857,
column_index=768,
confidence=0.7686606,
bounding_polygon=oci.ai_document.models.BoundingPolygon(
normalized_vertices=[
oci.ai_document.models.NormalizedVertex(
x=0.07837576,
y=0.8553647)]),
word_indexes=[433])])],
confidence=0.7312207,
bounding_polygon=oci.ai_document.models.BoundingPolygon(
normalized_vertices=[
oci.ai_document.models.NormalizedVertex(
x=0.65818727,
y=0.0045729876)]))],
document_fields=[
oci.ai_document.models.DocumentField(
field_type="LINE_ITEM_FIELD",
field_value=oci.ai_document.models.ValueArray(
value_type="ARRAY",
confidence=0.25271446,
bounding_polygon=oci.ai_document.models.BoundingPolygon(
normalized_vertices=[
oci.ai_document.models.NormalizedVertex(
x=0.21745372,
y=0.70793307)]),
word_indexes=[959],
text="EXAMPLE-text-Value"),
field_label=oci.ai_document.models.FieldLabel(
name="EXAMPLE-name-Value",
confidence=0.66339475),
field_name=oci.ai_document.models.FieldName(
name="EXAMPLE-name-Value",
confidence=0.6199575,
bounding_polygon=oci.ai_document.models.BoundingPolygon(
normalized_vertices=[
oci.ai_document.models.NormalizedVertex(
x=0.69793963,
y=0.91161406)]),
word_indexes=[370]))])],
detected_document_types=[
oci.ai_document.models.DetectedDocumentType(
document_type="EXAMPLE-documentType-Value",
confidence=0.3428371)],
detected_languages=[
oci.ai_document.models.DetectedLanguage(
language="EXAMPLE-language-Value",
confidence=0.9458242)],
document_classification_model_version="EXAMPLE-documentClassificationModelVersion-Value",
language_classification_model_version="EXAMPLE-languageClassificationModelVersion-Value",
text_extraction_model_version="EXAMPLE-textExtractionModelVersion-Value",
key_value_extraction_model_version="EXAMPLE-keyValueExtractionModelVersion-Value",
table_extraction_model_version="EXAMPLE-tableExtractionModelVersion-Value",
errors=[
oci.ai_document.models.ProcessingError(
code="EXAMPLE-code-Value",
message="EXAMPLE-message-Value")],
searchable_pdf="8UYH4IEVvfWhM6MdUAFE")),
if_match="EXAMPLE-ifMatch-Value",
opc_request_id="UTDRXZFCABT7XKWEL1YL<unique_ID>")
# Get the data from response
print(analyze_document_response.data)