Bank Account Details V1
Sample Code:
#
# Install the Python client library by running:
# pip install mindee
#
from mindee.v1 import Client, PredictResponse, product
from mindee import PathInput
# Init a new client
mindee_client = Client(api_key="my-api-key")
# Load a file from disk
input_doc = PathInput("/path/to/the/file.ext")
# Load a file from disk and parse it.
result: PredictResponse = mindee_client.parse(
product.fr.BankAccountDetailsV1,
input_doc,
)
# Print a summary of the API result
print(result.document)
# Print the document-level summary
# print(result.document.inference.prediction)
- class BankAccountDetailsV1(raw_prediction)
Bank Account Details API version 1 inference prediction.
- Parameters:
raw_prediction (dict[str, Any])
- static get_endpoint_info(klass)
Retrieves the endpoint information for an Inference.
Should never retrieve info for CustomV1, as a custom endpoint should be created to use CustomV1.
- Parameters:
klass (
type[Inference]) – product subclass to access endpoint information.- Return type:
dict[str,str]
- endpoint_name: str | None = 'bank_account_details'
Name of the endpoint.
- endpoint_version: str | None = '1'
Version of the endpoint.
- is_rotation_applied: bool | None
Whether the document has had any rotation applied to it.
- page_id: int | None
Optional page id for page-level predictions.
- pages: list[Page[BankAccountDetailsV1Document]]
Page-level prediction(s).
- prediction: BankAccountDetailsV1Document
Document-level prediction.
- class BankAccountDetailsV1Document(raw_prediction, page_id=None)
Bank Account Details API version 1.0 document data.
- Parameters:
raw_prediction (dict[str, Any])
page_id (int | None)
- account_holder_name: StringField
The name of the account holder as seen on the document.
- iban: StringField
The International Bank Account Number (IBAN).
- swift: StringField
The bank’s SWIFT Business Identifier Code (BIC).