Business Card
The Python SDK supports the Mindee V1 Business Card API.
Product Specifications
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.

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/johndoeStandard 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 beNoneif 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, alwaysNonewhen at document-level.reconstructed (
bool): indicates whether an object was reconstructed (not extracted as the API gave it).
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)Last updated
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