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.
Delivery note sample

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 be None 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, always None 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 be None.

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?

Join our Slack