Financial Document OCR Java
The Java OCR SDK supports the Financial Document API.
Using the sample below, we are going to illustrate how to extract the data that we want using the OCR SDK.
Quick-Start
import com.mindee.MindeeClient;
import com.mindee.input.LocalInputSource;
import com.mindee.parsing.common.PredictResponse;
import com.mindee.product.financialdocument.FinancialDocumentV1;
import java.io.File;
import java.io.IOException;
public class SimpleMindeeClient {
public static void main(String[] args) throws IOException {
String apiKey = "my-api-key";
String filePath = "/path/to/the/file.ext";
// Init a new client
MindeeClient mindeeClient = new MindeeClient(apiKey);
// Load a file from disk
LocalInputSource inputSource = new LocalInputSource(filePath);
// Parse the file
PredictResponse<FinancialDocumentV1> response = mindeeClient.parse(
FinancialDocumentV1.class,
inputSource
);
// Print a summary of the response
System.out.println(response.toString());
// Print a summary of the predictions
// System.out.println(response.getDocument().toString());
// Print the document-level predictions
// System.out.println(response.getDocument().getInference().getPrediction().toString());
// Print the page-level predictions
// response.getDocument().getInference().getPages().forEach(
// page -> System.out.println(page.toString())
// );
}
}
You can also call this product asynchronously:
import com.mindee.MindeeClient;
import com.mindee.input.LocalInputSource;
import com.mindee.parsing.common.AsyncPredictResponse;
import com.mindee.product.financialdocument.FinancialDocumentV1;
import java.io.File;
import java.io.IOException;
public class SimpleMindeeClient {
public static void main(String[] args) throws IOException, InterruptedException {
String apiKey = "my-api-key";
String filePath = "/path/to/the/file.ext";
// Init a new client
MindeeClient mindeeClient = new MindeeClient(apiKey);
// Load a file from disk
LocalInputSource inputSource = new LocalInputSource(new File(filePath));
// Parse the file asynchronously
AsyncPredictResponse<FinancialDocumentV1> response = mindeeClient.enqueueAndParse(
FinancialDocumentV1.class,
inputSource
);
// Print a summary of the response
System.out.println(response.toString());
// Print a summary of the predictions
// System.out.println(response.getDocumentObj().toString());
// Print the document-level predictions
// System.out.println(response.getDocumentObj().getInference().getPrediction().toString());
// Print the page-level predictions
// response.getDocumentObj().getInference().getPages().forEach(
// page -> System.out.println(page.toString())
// );
}
}
Output (RST):
########
Document
########
:Mindee ID: b26161ce-35d0-4984-b1ff-886645e160e6
:Filename: default_sample.jpg
Inference
#########
:Product: mindee/financial_document v1.11
:Rotation applied: Yes
Prediction
==========
:Locale: en-US; en; US; USD;
:Invoice Number: INT-001
:Purchase Order Number: 2412/2019
:Receipt Number:
:Document Number: INT-001
:Reference Numbers: 2412/2019
:Purchase Date: 2019-11-02
:Due Date: 2019-02-26
:Payment Date: 2019-02-26
:Total Net: 195.00
:Total Amount: 204.75
:Taxes:
+---------------+--------+----------+---------------+
| Base | Code | Rate (%) | Amount |
+===============+========+==========+===============+
| | | 5.00 | 9.75 |
+---------------+--------+----------+---------------+
:Supplier Payment Details:
:Supplier Name: JOHN SMITH
:Supplier Company Registrations:
:Supplier Address: 4490 Oak Drive Albany, NY 12210
:Supplier Phone Number:
:Customer Name: JESSIE M HORNE
:Supplier Website:
:Supplier Email:
:Customer Company Registrations:
:Customer Address: 2019 Redbud Drive New York, NY 10011
:Customer ID: 1234567890
:Shipping Address: 2019 Redbud Drive New York, NY 10011
:Billing Address: 4312 Wood Road New York, NY 10031
:Document Type: INVOICE
:Purchase Subcategory:
:Purchase Category: miscellaneous
:Total Tax: 9.75
:Tip and Gratuity:
:Purchase Time:
:Line Items:
+--------------------------------------+--------------+----------+------------+--------------+--------------+-----------------+------------+
| Description | Product code | Quantity | Tax Amount | Tax Rate (%) | Total Amount | Unit of measure | Unit Price |
+======================================+==============+==========+============+==============+==============+=================+============+
| Front and rear brake cables | | 1.00 | | | 100.00 | | 100.00 |
+--------------------------------------+--------------+----------+------------+--------------+--------------+-----------------+------------+
| New set of pedal arms | | 2.00 | | | 50.00 | | 25.00 |
+--------------------------------------+--------------+----------+------------+--------------+--------------+-----------------+------------+
| Labor 3hrs | | 3.00 | | | 45.00 | | 15.00 |
+--------------------------------------+--------------+----------+------------+--------------+--------------+-----------------+------------+
Page Predictions
================
Page 0
------
:Locale: en-US; en; US; USD;
:Invoice Number: INT-001
:Purchase Order Number: 2412/2019
:Receipt Number:
:Document Number: INT-001
:Reference Numbers: 2412/2019
:Purchase Date: 2019-11-02
:Due Date: 2019-02-26
:Payment Date: 2019-02-26
:Total Net: 195.00
:Total Amount: 204.75
:Taxes:
+---------------+--------+----------+---------------+
| Base | Code | Rate (%) | Amount |
+===============+========+==========+===============+
| | | 5.00 | 9.75 |
+---------------+--------+----------+---------------+
:Supplier Payment Details:
:Supplier Name: JOHN SMITH
:Supplier Company Registrations:
:Supplier Address: 4490 Oak Drive Albany, NY 12210
:Supplier Phone Number:
:Customer Name: JESSIE M HORNE
:Supplier Website:
:Supplier Email:
:Customer Company Registrations:
:Customer Address: 2019 Redbud Drive New York, NY 10011
:Customer ID: 1234567890
:Shipping Address: 2019 Redbud Drive New York, NY 10011
:Billing Address: 4312 Wood Road New York, NY 10031
:Document Type: INVOICE
:Purchase Subcategory:
:Purchase Category: miscellaneous
:Total Tax: 9.75
:Tip and Gratuity:
:Purchase Time:
:Line Items:
+--------------------------------------+--------------+----------+------------+--------------+--------------+-----------------+------------+
| Description | Product code | Quantity | Tax Amount | Tax Rate (%) | Total Amount | Unit of measure | Unit Price |
+======================================+==============+==========+============+==============+==============+=================+============+
| Front and rear brake cables | | 1.00 | | | 100.00 | | 100.00 |
+--------------------------------------+--------------+----------+------------+--------------+--------------+-----------------+------------+
| New set of pedal arms | | 2.00 | | | 50.00 | | 25.00 |
+--------------------------------------+--------------+----------+------------+--------------+--------------+-----------------+------------+
| Labor 3hrs | | 3.00 | | | 45.00 | | 15.00 |
+--------------------------------------+--------------+----------+------------+--------------+--------------+-----------------+------------+
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:
- confidence (
Double
): the confidence score of the field prediction. - boundingBox (
Polygon
): contains exactly 4 relative vertices (points) coordinates of a right rectangle containing the field in the document. - polygon (
Polygon
): contains the relative vertices coordinates (polygon
extendsList<Point>
) of a polygon containing the field in the image. - pageId (
Integer
): the ID of the page, alwaysnull
when at document-level.
Note: A
Point
simply refers to a List ofDouble
.
Aside from the previous attributes, all basic fields have access to a custom toString
method that can be used to print their value as a string.
AmountField
An amount field AmountField
extends BaseField
, but also implements:
- value (
Double
): corresponds to the field value. Can benull
if no value was extracted.
ClassificationField
The classification field ClassificationField
extends BaseField
, but also implements:
- value (
strong
): corresponds to the field value. - confidence (
double
): the confidence score of the field prediction.
Note: a classification field's
value is always a
String`.
CompanyRegistrationField
Aside from the basic BaseField
attributes, the company registration field CompanyRegistrationField
also implements the following:
- type (
String
): the type of company. - value (
String
): corresponds to the field value. - toTableLine(): a method that formats the data to fit in a .rst display.
StringField
The text field StringField
extends BaseField
, but also implements:
- value (
String
): corresponds to the field value. - rawValue (
String
): corresponds to the raw value as it appears on the document.
DateField
The date field DateField
extends BaseField
, but also implements:
- value (
LocalDate
): an accessible representation of the value as a Java object. Can benull
.
LocaleField
The locale field LocaleField
extends BaseField
, but also implements:
- value (
LocalDate
): an accessible representation of the value as a Java object. Can benull
. - language (
String
): ISO 639-1 language code (e.g.:en
for English). Can benull
. - country (
String
): ISO 3166-1 alpha-2 or ISO 3166-1 alpha-3 code for countries (e.g.:GRB
orGB
for "Great Britain"). Can benull
. - currency (
String
): ISO 4217 code for currencies (e.g.:USD
for "US Dollars"). Can benull
.
Taxes
TaxField
Aside from the basic BaseField
attributes, the tax field TaxField
also implements the following:
- rate (
Double
): the tax rate applied to an item expressed as a percentage. Can benull
. - code (
String
): tax code (or equivalent, depending on the origin of the document). - base (
Double
): base amount used for the tax. Can benull
. - value (
Double
): the value of the tax. Can benull
.
Note: currently
TaxField
is not used on its own, and is accessed through a parentTaxes
object, a list-like structure.
Taxes (List)
The Taxes
field represents a List of TaxField
objects. As it is the representation of several objects, it has access to a custom toString
method that can render a TaxField
object as a table line.
Specific Fields
Fields which are specific to this product; they are not used in any other product.
Line Items Field
List of line item details.
A FinancialDocumentV1LineItem
implements the following attributes:
- description (
String
): The item description. - productCode (
String
): The product code referring to the item. - quantity (
Double
): The item quantity - taxAmount (
Double
): The item tax amount. - taxRate (
Double
): The item tax rate in percentage. - totalAmount (
Double
): The item total amount. - unitMeasure (
String
): The item unit of measure. - unitPrice (
Double
): The item unit price.
Attributes
The following fields are extracted for Financial Document V1:
Billing Address
billingAddress: The customer's address used for billing.
System.out.println(result.getDocument().getInference().getPrediction().getBillingAddress().value);
Purchase Category
category: The purchase category among predefined classes.
Possible values include:
- toll
- food
- parking
- transport
- accommodation
- gasoline
- telecom
- miscellaneous
System.out.println(result.getDocument().getInference().getPrediction().getCategory().value);
Customer Address
customerAddress: The address of the customer.
System.out.println(result.getDocument().getInference().getPrediction().getCustomerAddress().value);
Customer Company Registrations
customerCompanyRegistrations: List of company registrations associated to the customer.
for (customerCompanyRegistrationsElem : result.getDocument().getInference().getPrediction().getCustomerCompanyRegistrations())
{
System.out.println(customerCompanyRegistrationsElem.value);
}
Customer ID
customerId: The customer account number or identifier from the supplier.
System.out.println(result.getDocument().getInference().getPrediction().getCustomerId().value);
Customer Name
customerName: The name of the customer.
System.out.println(result.getDocument().getInference().getPrediction().getCustomerName().value);
Purchase Date
date: The date the purchase was made.
System.out.println(result.getDocument().getInference().getPrediction().getDate().value);
Document Number
documentNumber: The document number or identifier.
System.out.println(result.getDocument().getInference().getPrediction().getDocumentNumber().value);
Document Type
documentType: One of: 'INVOICE', 'CREDIT NOTE', 'CREDIT CARD RECEIPT', 'EXPENSE RECEIPT'.
Possible values include:
- INVOICE
- CREDIT NOTE
- CREDIT CARD RECEIPT
- EXPENSE RECEIPT
System.out.println(result.getDocument().getInference().getPrediction().getDocumentType().value);
Due Date
dueDate: The date on which the payment is due.
System.out.println(result.getDocument().getInference().getPrediction().getDueDate().value);
Invoice Number
invoiceNumber: The invoice number or identifier only if document is an invoice.
System.out.println(result.getDocument().getInference().getPrediction().getInvoiceNumber().value);
Line Items
lineItems(List<FinancialDocumentV1LineItem>): List of line item details.
for (lineItemsElem : result.getDocument().getInference().getPrediction().getLineItems())
{
System.out.println(lineItemsElem.value);
}
Locale
locale: The locale detected on the document.
System.out.println(result.getDocument().getInference().getPrediction().getLocale().value);
Payment Date
paymentDate: The date on which the payment is due / fullfilled.
System.out.println(result.getDocument().getInference().getPrediction().getPaymentDate().value);
Purchase Order Number
poNumber: The purchase order number.
System.out.println(result.getDocument().getInference().getPrediction().getPoNumber().value);
Receipt Number
receiptNumber: The receipt number or identifier only if document is a receipt.
System.out.println(result.getDocument().getInference().getPrediction().getReceiptNumber().value);
Reference Numbers
referenceNumbers: List of Reference numbers, including PO number.
for (referenceNumbersElem : result.getDocument().getInference().getPrediction().getReferenceNumbers())
{
System.out.println(referenceNumbersElem.value);
}
Shipping Address
shippingAddress: The customer's address used for shipping.
System.out.println(result.getDocument().getInference().getPrediction().getShippingAddress().value);
Purchase Subcategory
subcategory: The purchase subcategory among predefined classes for transport and food.
Possible values include:
- plane
- taxi
- train
- restaurant
- shopping
System.out.println(result.getDocument().getInference().getPrediction().getSubcategory().value);
Supplier Address
supplierAddress: The address of the supplier or merchant.
System.out.println(result.getDocument().getInference().getPrediction().getSupplierAddress().value);
Supplier Company Registrations
supplierCompanyRegistrations: List of company registrations associated to the supplier.
for (supplierCompanyRegistrationsElem : result.getDocument().getInference().getPrediction().getSupplierCompanyRegistrations())
{
System.out.println(supplierCompanyRegistrationsElem.value);
}
Supplier Email
supplierEmail: The email of the supplier or merchant.
System.out.println(result.getDocument().getInference().getPrediction().getSupplierEmail().value);
Supplier Name
supplierName: The name of the supplier or merchant.
System.out.println(result.getDocument().getInference().getPrediction().getSupplierName().value);
Supplier Payment Details
supplierPaymentDetails: List of payment details associated to the supplier.
for (supplierPaymentDetailsElem : result.getDocument().getInference().getPrediction().getSupplierPaymentDetails())
{
System.out.println(supplierPaymentDetailsElemvalue);
System.out.println(supplierPaymentDetailsElem.rate);
System.out.println(supplierPaymentDetailsElem.code);
System.out.println(supplierPaymentDetailsElem.base);
}
Supplier Phone Number
supplierPhoneNumber: The phone number of the supplier or merchant.
System.out.println(result.getDocument().getInference().getPrediction().getSupplierPhoneNumber().value);
Supplier Website
supplierWebsite: The website URL of the supplier or merchant.
System.out.println(result.getDocument().getInference().getPrediction().getSupplierWebsite().value);
Taxes
taxes: List of tax lines information.
for (taxesElem : result.getDocument().getInference().getPrediction().getTaxes())
{
System.out.println(taxesElem.value);
}
Purchase Time
time: The time the purchase was made.
System.out.println(result.getDocument().getInference().getPrediction().getTime().value);
Tip and Gratuity
tip: The total amount of tip and gratuity
System.out.println(result.getDocument().getInference().getPrediction().getTip().value);
Total Amount
totalAmount: The total amount paid: includes taxes, tips, fees, and other charges.
System.out.println(result.getDocument().getInference().getPrediction().getTotalAmount().value);
Total Net
totalNet: The net amount paid: does not include taxes, fees, and discounts.
System.out.println(result.getDocument().getInference().getPrediction().getTotalNet().value);
Total Tax
totalTax: The total amount of taxes.
System.out.println(result.getDocument().getInference().getPrediction().getTotalTax().value);
Questions?
Updated 8 days ago