US US Mail OCR Python
The Python OCR SDK supports the US Mail 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.us.UsMailV2,
input_doc,
)
# Print a brief summary of the parsed data
print(result.document)
Output (RST):
:Sender Name: zed
:Sender Address:
:City: Dallas
:Complete Address: 54321 Elm Street, Dallas, Texas ...
:Postal Code: 54321
:State: TX
:Street: 54321 Elm Street
:Recipient Names: Jane Doe
:Recipient Addresses:
+-----------------+-------------------------------------+-------------------+-------------+------------------------+-------+---------------------------+
| City | Complete Address | Is Address Change | Postal Code | Private Mailbox Number | State | Street |
+=================+=====================================+===================+=============+========================+=======+===========================+
| Detroit | 1234 Market Street PMB 4321, Det... | | 12345 | 4321 | MI | 1234 Market Street |
+-----------------+-------------------------------------+-------------------+-------------+------------------------+-------+---------------------------+
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.
StringField
The text field StringField
only has one constraint: its value is an Optional[str]
.
Specific Fields
Fields which are specific to this product; they are not used in any other product.
Recipient Addresses Field
The addresses of the recipients.
A UsMailV2RecipientAddress
implements the following attributes:
- city (
str
): The city of the recipient's address. - complete (
str
): The complete address of the recipient. - is_address_change (
bool
): Indicates if the recipient's address is a change of address. - postal_code (
str
): The postal code of the recipient's address. - private_mailbox_number (
str
): The private mailbox number of the recipient's address. - state (
str
): Second part of the ISO 3166-2 code, consisting of two letters indicating the US State. - street (
str
): The street of the recipient's address.
Fields which are specific to this product; they are not used in any other product.
Sender Address Field
The address of the sender.
A UsMailV2SenderAddress
implements the following attributes:
- city (
str
): The city of the sender's address. - complete (
str
): The complete address of the sender. - postal_code (
str
): The postal code of the sender's address. - state (
str
): Second part of the ISO 3166-2 code, consisting of two letters indicating the US State. - street (
str
): The street of the sender's address.
Attributes
The following fields are extracted for US Mail V2:
Recipient Addresses
recipient_addresses (List[UsMailV2RecipientAddress]): The addresses of the recipients.
for recipient_addresses_elem in result.document.inference.prediction.recipient_addresses:
print(recipient_addresses_elem.value)
Recipient Names
recipient_names (List[StringField]): The names of the recipients.
for recipient_names_elem in result.document.inference.prediction.recipient_names:
print(recipient_names_elem.value)
Sender Address
sender_address (UsMailV2SenderAddress): The address of the sender.
print(result.document.inference.prediction.sender_address.value)
Sender Name
sender_name (StringField): The name of the sender.
print(result.document.inference.prediction.sender_name.value)
Questions?
Updated 22 days ago