Business Card

The Python SDK supports the Mindee V1 Business Card API.

Product Specifications

Specification
Details

Endpoint Name

business_card

Recommended Version

v1.0

Supports Polling/Webhooks

✔️ Yes

Support Synchronous HTTP Calls

❌ No

Geography

🌐 Global

Quick-Start

Using the sample below, we are going to illustrate how to extract the data that we want using the SDK.

Business Card Sample

Sample Code

#
# Install the Python client library by running:
# pip install mindee
#

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.BusinessCardV1,
    input_doc,
)

# Print a brief summary of the parsed data
print(result.document)

Sample Output (rST)

########
Document
########
:Mindee ID: 6f9a261f-7609-4687-9af0-46a45156566e
:Filename: default_sample.jpg

Inference
#########
:Product: mindee/business_card v1.0
:Rotation applied: Yes

Prediction
==========
:Firstname: Andrew
:Lastname: Morin
:Job Title: Founder & CEO
:Company: RemoteGlobal
:Email: [email protected]
:Phone Number: +14015555555
:Mobile Number: +13015555555
:Fax Number: +14015555556
:Address: 178 Main Avenue, Providence, RI 02111
:Website: www.remoteglobalconsulting.com
:Social Media: https://www.linkedin.com/in/johndoe
               https://twitter.com/johndoe

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).

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].

Attributes

The following fields are extracted for Business Card V1:

Address

address (StringField): The address of the person.

print(result.document.inference.prediction.address.value)

Company

company (StringField): The company the person works for.

print(result.document.inference.prediction.company.value)

Email

email (StringField): The email address of the person.

print(result.document.inference.prediction.email.value)

Fax Number

fax_number (StringField): The Fax number of the person.

print(result.document.inference.prediction.fax_number.value)

Firstname

firstname (StringField): The given name of the person.

print(result.document.inference.prediction.firstname.value)

Job Title

job_title (StringField): The job title of the person.

print(result.document.inference.prediction.job_title.value)

Lastname

lastname (StringField): The lastname of the person.

print(result.document.inference.prediction.lastname.value)

Mobile Number

mobile_number (StringField): The mobile number of the person.

print(result.document.inference.prediction.mobile_number.value)

Phone Number

phone_number (StringField): The phone number of the person.

print(result.document.inference.prediction.phone_number.value)

Social Media

social_media (List[StringField]): The social media profiles of the person or company.

for social_media_elem in result.document.inference.prediction.social_media:
    print(social_media_elem.value)

Website

website (StringField): The website of the person or company.

print(result.document.inference.prediction.website.value)

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