Business Card
The Node.js 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
const mindee = require("mindee");
// for TS or modules:
// import * as mindee from "mindee";
// Init a new client
const mindeeClient = new mindee.Client({ apiKey: "my-api-key" });
// Load a file from disk
const inputSource = mindeeClient.docFromPath("/path/to/the/file.ext");
// Parse the file
const apiResponse = mindeeClient.enqueueAndParse(
mindee.product.BusinessCardV1,
inputSource
);
// Handle the response Promise
apiResponse.then((resp) => {
// print a string summary
console.log(resp.document.toString());
});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.
Basic Field
Each prediction object contains a set of fields that inherit from the generic Field class.
A typical Field object will have the following attributes:
value (
number | string): corresponds to the field value. Can beundefinedif no value was extracted.confidence (
number): the confidence score of the field prediction.boundingBox (
[Point, Point, Point, Point]): contains exactly 4 relative vertices (points) coordinates of a right rectangle containing the field in the document.polygon (
Point[]): contains the relative vertices coordinates (Point) of a polygon containing the field in the image.pageId (
number): the ID of the page, alwaysundefinedwhen at document-level.reconstructed (
boolean): 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 toString() method that can be used to print their value as a string.
String Field
The text field StringField only has one constraint: its value is a string (or undefined).
Attributes
The following fields are extracted for Business Card V1:
Address
address (StringField): The address of the person.
console.log(result.document.inference.prediction.address.value);Company
company (StringField): The company the person works for.
console.log(result.document.inference.prediction.company.value);Email
email (StringField): The email address of the person.
console.log(result.document.inference.prediction.email.value);Fax Number
faxNumber (StringField): The Fax number of the person.
console.log(result.document.inference.prediction.faxNumber.value);Firstname
firstname (StringField): The given name of the person.
console.log(result.document.inference.prediction.firstname.value);Job Title
jobTitle (StringField): The job title of the person.
console.log(result.document.inference.prediction.jobTitle.value);Lastname
lastname (StringField): The lastname of the person.
console.log(result.document.inference.prediction.lastname.value);Mobile Number
mobileNumber (StringField): The mobile number of the person.
console.log(result.document.inference.prediction.mobileNumber.value);Phone Number
phoneNumber (StringField): The phone number of the person.
console.log(result.document.inference.prediction.phoneNumber.value);Social Media
socialMedia (StringField[]): The social media profiles of the person or company.
for (const socialMediaElem of result.document.inference.prediction.socialMedia) {
console.log(socialMediaElem.value);
}Website
website (StringField): The website of the person or company.
console.log(result.document.inference.prediction.website.value);Last updated
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