Delivery note OCR Python
The Python OCR SDK supports the Delivery note API.
Using the sample below, we are going to illustrate how to extract the data that we want using the OCR SDK.
Quick-Start
from mindee import Client, product, 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.DeliveryNoteV1,
input_doc,
)
# Print a brief summary of the parsed data
print(result.document)
Output (RST):
########
Document
########
:Mindee ID: d5ead821-edec-4d31-a69a-cf3998d9a506
:Filename: default_sample.jpg
Inference
#########
:Product: mindee/delivery_notes v1.0
:Rotation applied: Yes
Prediction
==========
:Delivery Date: 2019-10-02
:Delivery Number: INT-001
:Supplier Name: John Smith
:Supplier Address: 4490 Oak Drive, Albany, NY 12210
:Customer Name: Jessie M Horne
:Customer Address: 4312 Wood Road, New York, NY 10031
:Total Amount: 204.75
Field Types
Standard Fields
These fields are generic and used in several products.
BaseField
Each prediction object contains a set of fields that inherit from the generic BaseField
class.
A typical BaseField
object will have the following attributes:
- value (
Union[float, str]
): corresponds to the field value. Can beNone
if no value was extracted. - confidence (
float
): the confidence score of the field prediction. - bounding_box (
[Point, Point, Point, Point]
): contains exactly 4 relative vertices (points) coordinates of a right rectangle containing the field in the document. - polygon (
List[Point]
): contains the relative vertices coordinates (Point
) of a polygon containing the field in the image. - page_id (
int
): the ID of the page, alwaysNone
when at document-level. - reconstructed (
bool
): indicates whether an object was reconstructed (not extracted as the API gave it).
Note: A
Point
simply refers to a List of two numbers ([float, float]
).
Aside from the previous attributes, all basic fields have access to a custom __str__
method that can be used to print their value as a string.
AmountField
The amount field AmountField
only has one constraint: its value is an Optional[float]
.
DateField
Aside from the basic BaseField
attributes, the date field DateField
also implements the following:
- date_object (
Date
): an accessible representation of the value as a python object. Can beNone
.
StringField
The text field StringField
only has one constraint: its value is an Optional[str]
.
Attributes
The following fields are extracted for Delivery note V1:
Customer Address
customer_address (StringField): The address of the customer receiving the goods.
print(result.document.inference.prediction.customer_address.value)
Customer Name
customer_name (StringField): The name of the customer receiving the goods.
print(result.document.inference.prediction.customer_name.value)
Delivery Date
delivery_date (DateField): The date on which the delivery is scheduled to arrive.
print(result.document.inference.prediction.delivery_date.value)
Delivery Number
delivery_number (StringField): A unique identifier for the delivery note.
print(result.document.inference.prediction.delivery_number.value)
Supplier Address
supplier_address (StringField): The address of the supplier providing the goods.
print(result.document.inference.prediction.supplier_address.value)
Supplier Name
supplier_name (StringField): The name of the supplier providing the goods.
print(result.document.inference.prediction.supplier_name.value)
Total Amount
total_amount (AmountField): The total monetary value of the goods being delivered.
print(result.document.inference.prediction.total_amount.value)
Questions?
Updated 11 days ago