# 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",
tenancy_id="ocid1.test.oc1..<unique_ID>EXAMPLE-tenancyId-Value")],
document=oci.ai_document.models.ObjectStorageDocumentDetails(
source="OBJECT_STORAGE",
namespace_name="EXAMPLE-namespaceName-Value",
bucket_name="EXAMPLE-bucketName-Value",
object_name="EXAMPLE-objectName-Value",
page_range=["EXAMPLE--Value"]),
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="OTHERS",
ocr_data=oci.ai_document.models.AnalyzeDocumentResult(
document_metadata=oci.ai_document.models.DocumentMetadata(
page_count=797,
mime_type="EXAMPLE-mimeType-Value"),
pages=[
oci.ai_document.models.Page(
page_number=322,
dimensions=oci.ai_document.models.Dimensions(
width=5614.4946,
height=2476.762,
unit="INCH"),
detected_document_types=[
oci.ai_document.models.DetectedDocumentType(
document_type="EXAMPLE-documentType-Value",
confidence=0.91702473,
document_id="ocid1.test.oc1..<unique_ID>EXAMPLE-documentId-Value")],
detected_languages=[
oci.ai_document.models.DetectedLanguage(
language="EXAMPLE-language-Value",
confidence=0.9935627)],
words=[
oci.ai_document.models.Word(
text="EXAMPLE-text-Value",
confidence=0.16390628,
bounding_polygon=oci.ai_document.models.BoundingPolygon(
normalized_vertices=[
oci.ai_document.models.NormalizedVertex(
x=0.06763345,
y=0.63630563)]))],
lines=[
oci.ai_document.models.Line(
text="EXAMPLE-text-Value",
confidence=0.6410271,
bounding_polygon=oci.ai_document.models.BoundingPolygon(
normalized_vertices=[
oci.ai_document.models.NormalizedVertex(
x=0.3053928,
y=0.56479573)]),
word_indexes=[602])],
tables=[
oci.ai_document.models.Table(
row_count=128,
column_count=688,
header_rows=[
oci.ai_document.models.TableRow(
cells=[
oci.ai_document.models.Cell(
text="EXAMPLE-text-Value",
row_index=429,
column_index=262,
confidence=0.34574497,
bounding_polygon=oci.ai_document.models.BoundingPolygon(
normalized_vertices=[
oci.ai_document.models.NormalizedVertex(
x=0.72975814,
y=0.8217945)]),
word_indexes=[540])])],
confidence=0.9762113,
bounding_polygon=oci.ai_document.models.BoundingPolygon(
normalized_vertices=[
oci.ai_document.models.NormalizedVertex(
x=0.7631093,
y=0.66277647)]))],
document_fields=[
oci.ai_document.models.DocumentField(
field_type="LINE_ITEM_FIELD",
field_value=oci.ai_document.models.ValueNumber(
value_type="NUMBER",
confidence=0.30213982,
bounding_polygon=oci.ai_document.models.BoundingPolygon(
normalized_vertices=[
oci.ai_document.models.NormalizedVertex(
x=0.33161813,
y=0.025857389)]),
word_indexes=[495],
value=3373.0293,
text="EXAMPLE-text-Value",
normalized_value="EXAMPLE-normalizedValue-Value",
normalized_confidence=0.5552317),
field_label=oci.ai_document.models.FieldLabel(
name="EXAMPLE-name-Value",
confidence=0.2690071),
field_name=oci.ai_document.models.FieldName(
name="EXAMPLE-name-Value",
confidence=0.03603059,
bounding_polygon=oci.ai_document.models.BoundingPolygon(
normalized_vertices=[
oci.ai_document.models.NormalizedVertex(
x=0.7075796,
y=0.3521831)]),
word_indexes=[273]))],
signatures=[
oci.ai_document.models.Signature(
confidence=0.77086824,
bounding_polygon=oci.ai_document.models.BoundingPolygon(
normalized_vertices=[
oci.ai_document.models.NormalizedVertex(
x=0.65454686,
y=0.9701144)]))],
bar_codes=[
oci.ai_document.models.BarCode(
confidence=0.90874636,
value="EXAMPLE-value-Value",
bounding_polygon=oci.ai_document.models.BoundingPolygon(
normalized_vertices=[
oci.ai_document.models.NormalizedVertex(
x=0.54035455,
y=0.8811885)]),
code_type="EXAMPLE-codeType-Value")],
selection_marks=[
oci.ai_document.models.SelectionMark(
state="SELECTED",
confidence=0.16307533,
bounding_polygon=oci.ai_document.models.BoundingPolygon(
normalized_vertices=[
oci.ai_document.models.NormalizedVertex(
x=0.1931243,
y=0.07523805)]))])],
detected_document_types=[
oci.ai_document.models.DetectedDocumentType(
document_type="EXAMPLE-documentType-Value",
confidence=0.34786588,
document_id="ocid1.test.oc1..<unique_ID>EXAMPLE-documentId-Value")],
detected_languages=[
oci.ai_document.models.DetectedLanguage(
language="EXAMPLE-language-Value",
confidence=0.6972282)],
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",
signature_extraction_model_version="EXAMPLE-signatureExtractionModelVersion-Value",
bar_code_extraction_model_version="EXAMPLE-barCodeExtractionModelVersion-Value",
errors=[
oci.ai_document.models.ProcessingError(
code="EXAMPLE-code-Value",
message="EXAMPLE-message-Value")],
searchable_pdf="iCaIQhwA6w4XZFv8lLbg")),
if_match="EXAMPLE-ifMatch-Value",
opc_request_id="V6KJQUDQVXAB8RVZF2CX<unique_ID>")
# Get the data from response
print(analyze_document_response.data)