Invoice Splitter V1
Sample Code:
from mindee import Client, product
from time import sleep
from mindee.parsing.common import AsyncPredictResponse
# Init a new client
mindee_client = Client(api_key="my-api-key")
# Load a file from disk
input_doc = mindee_client.source_from_path("/path/to/the/file.ext")
# Load a file from disk and enqueue it.
result: AsyncPredictResponse = mindee_client.enqueue_and_parse(
product.InvoiceSplitterV1,
input_doc,
)
# Print a brief summary of the parsed data
print(result.document)
- class InvoiceSplitterV1(raw_prediction)
Inference prediction for Invoice Splitter, API version 1.
- static get_endpoint_info(klass)
Retrives 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: Optional[str] = 'invoice_splitter'
Name of the endpoint.
- endpoint_version: Optional[str] = '1'
Version of the endpoint.
- is_rotation_applied: Optional[bool]
Whether the document has had any rotation applied to it.
- page_id: Optional[int]
Optional page id for page-level predictions.
-
pages:
List[Page[InvoiceSplitterV1Document]] Page-level prediction(s).
-
prediction:
InvoiceSplitterV1Document Document-level prediction.
- product: Product
Name and version of a given product, as sent back by the API.