> For the complete documentation index, see [llms.txt](https://docs.mindee.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.mindee.com/v1/integration/python-sdk/localized-products/python-us-us-mail-ocr.md).
# US US Mail
The Python SDK supports the Mindee V1 [US Mail API](https://platform.mindee.com/mindee/us_mail).
## Product Specifications
| Specification | Details |
| ------------------------------ | ------------------ |
| Endpoint Name | `us_mail` |
| Recommended Version | `v3.0` |
| Supports Polling/Webhooks | βοΈ Yes |
| Support Synchronous HTTP Calls | β No |
| Geography | πΊπΈ United States |
## Quick-Start
Using the [sample below](https://github.com/mindee/client-lib-test-data/blob/main/v1/products/us_mail/default_sample.jpg), we are going to illustrate how to extract the data that we want using the SDK.
### Sample Code
```py
#
# Install the Python client library by running:
# pip install mindee
#
from mindee import Client, PathInput, AsyncPredictResponse, product
# Init a new client
mindee_client = Client(api_key="my-api-key")
# Load a file from disk
input_source = PathInput("/path/to/the/file.ext")
# Load a file from disk and enqueue it.
result: AsyncPredictResponse = mindee_client.enqueue_and_parse(
product.us.UsMailV3,
input_source,
)
# Print a brief summary of the parsed data
print(result.document)
```
### Sample Output (rST)
```rst
########
Document
########
:Mindee ID: f9c36f59-977d-4ddc-9f2d-31c294c456ac
:Filename: default_sample.jpg
Inference
#########
:Product: mindee/us_mail v3.0
:Rotation applied: Yes
Prediction
==========
:Sender Name: company zed
:Sender Address:
:City: Dallas
:Complete Address: 54321 Elm Street, Dallas, Texas 54321
: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 | Unit |
+=================+=====================================+===================+=============+========================+=======+===========================+=================+
| Detroit | 1234 Market Street PMB 4321, Det... | False | 12345 | 4321 | MI | 1234 Market Street | |
+-----------------+-------------------------------------+-------------------+-------------+------------------------+-------+---------------------------+-----------------+
:Return to Sender: False
```
## 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).
{% hint style="info" %}
A `Point` simply refers to a list of two numbers (`[float, float]`).
{% endhint %}
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 `UsMailV3RecipientAddress` 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.
* **unit** (`str`): The unit number 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 `UsMailV3SenderAddress` 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 V3:
### Return to Sender
**is\_return\_to\_sender** ([BooleanField](#booleanfield)): Whether the mailing is marked as return to sender.
```py
print(result.document.inference.prediction.is_return_to_sender.value)
```
### Recipient Addresses
**recipient\_addresses** (List\[[UsMailV3RecipientAddress](#recipient-addresses-field)]): The addresses of the recipients.
```py
for recipient_addresses_elem in result.document.inference.prediction.recipient_addresses:
print(recipient_addresses_elem.value)
```
### Recipient Names
**recipient\_names** (List\[[StringField](#stringfield)]): The names of the recipients.
```py
for recipient_names_elem in result.document.inference.prediction.recipient_names:
print(recipient_names_elem.value)
```
### Sender Address
**sender\_address** ([UsMailV3SenderAddress](#sender-address-field)): The address of the sender.
```py
print(result.document.inference.prediction.sender_address.value)
```
### Sender Name
**sender\_name** ([StringField](#stringfield)): The name of the sender.
```py
print(result.document.inference.prediction.sender_name.value)
```
---
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