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Blog » Colombia recibo OCR API for expense claim automation

Expense claim automation streamlines and simplifies the management of employee expense claims & reimbursement and employee benefit programs (e.g., FSA, flexible spending account ). It involves automating various tasks associated with submitting, processing, and approving expense claims to increase efficiency, reduce errors, and save time. Asprise receipt OCR API is the key technology used by many leading organizations in the world to automate their expense claim process.

Powered by our OCR technology and machine learning algorithms, Asprise OCR API eliminates manual data entry and automates bookkeeping. Medical bills, utility bills, insurance bills, invoices and receipts can be easily processed within seconds. Below provides an example.

We have helped many clients, and we can help you too. Let us know your requirements and monthly volume, we'll then set up a trial account for you to test it out. Email us today:

Colombia recibo OCR in Practice

In Colombia , receipts are usually in Spanish (Español) or English language. The receipt OCR should be able to handle receipts in any language. For example, the image on right displays a receipt received in Colombia :

There are many ways to perform Colombia recibo OCR. For example, you may use the free Colombia recibo OCR web page to detect information like retailer name, line items, subtotal and total amounts.

Additionally, you may perform receipt OCR from Windows, macOS and Linux command consoles or you can do it in any of your favorite programming languages. Asprise offers receipt OCR API free trial for you to get started - no registration required. Click the tab below to find out how to OCR Colombian receipts from the command line or in C# VB.NET, Java, JavaScript/Node.js, PHP or Python.

curl -X POST -F "file=@CO-1.jpg"
// View complete code at:
string response = httpPost("", // Receipt OCR API endpoint
new NameValueCollection()
        {"api_key", "TEST"}, // Use 'TEST' for testing purpose
        {"recognizer", "auto"}, // can be 'US', 'CA', 'JP', 'SG' or 'auto'
        {"ref_no", "ocr_dot_net_123"} // optional caller provided ref code
    new NameValueCollection() {{"file", "../../CO-1.jpg"}} // Modify it to use your own file
Console.WriteLine(response); // Result in JSON
// View complete code at:
 * Uploads an image for receipt OCR and gets the result in JSON.
 * Required dependencies: org.apache.httpcomponents:httpclient:4.5.13 and org.apache.httpcomponents:httpmime:4.5.13
public class JavaReceiptOcr {

   public static void main(String[] args) throws Exception {
      String receiptOcrEndpoint = ""; // Receipt OCR API endpoint
      File imageFile = new File("CO-1.jpg");

      System.out.println("=== Java Colombia recibo OCR ===");

      try (CloseableHttpClient client = HttpClients.createDefault()) {
         HttpPost post = new HttpPost(receiptOcrEndpoint);
            .addTextBody("api_key", "TEST")       // Use 'TEST' for testing purpose
            .addTextBody("recognizer", "auto")       // can be 'US', 'CA', 'JP', 'SG' or 'auto'
            .addTextBody("ref_no", "ocr_java_123'") // optional caller provided ref code
            .addPart("file", new FileBody(imageFile))    // the image file

         try (CloseableHttpResponse response = client.execute(post)) {
            System.out.println(EntityUtils.toString(response.getEntity())); // Receipt OCR result in JSON
// View complete code at:
console.log("=== JavaScript/Node.js Colombia recibo OCR ===");

var receiptOcrEndpoint = '';
var imageFile = 'CO-1.jpg'; // Modify it to use your own file

var fs = require('fs');
var request = require('request');{
  url: receiptOcrEndpoint,
  formData: {
    api_key: 'TEST',        // Use 'TEST' for testing purpose
    recognizer: 'auto',        // can be 'US', 'CA', 'JP', 'SG' or 'auto'
    ref_no: 'ocr_nodejs_123', // optional caller provided ref code
    file: fs.createReadStream(imageFile) // the image file
}, function(error, response, body) {
  if(error) {
  console.log(body); // Receipt OCR result in JSON
<?php  // View complete code at:

function receiptOcr($imageFile) {
  $receiptOcrEndpoint = ''; //

  $ch = curl_init();
  curl_setopt($ch, CURLOPT_URL, $receiptOcrEndpoint);
  curl_setopt($ch, CURLOPT_POST, true);
  curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);

  curl_setopt($ch, CURLOPT_POSTFIELDS, array(
   'api_key' => 'TEST',      // Use 'TEST' for testing purpose
    'recognizer' => 'auto',     // can be 'US', 'CA', 'JP', 'SG' or 'auto'
    'ref_no' => 'ocr_php_123',  // optional caller provided ref code
    'file' => curl_file_create($imageFile) // the image file

  $result = curl_exec($ch);
      throw new Exception(curl_error($ch));

  echo $result; // result in JSON

print("=== Java Colombia recibo OCR ===\n");
receiptOcr('CO-1.jpg'); // Modify it to use your own file
# View complete code at:
import requests

print("=== Python Colombia recibo OCR ===")

receiptOcrEndpoint = '' # Receipt OCR API endpoint
imageFile = "CO-1.jpg" # // Modify it to use your own file
r =, data = { \
  'api_key': 'TEST',        # Use 'TEST' for testing purpose \
  'recognizer': 'auto',       # can be 'US', 'CA', 'JP', 'SG' or 'auto' \
  'ref_no': 'ocr_python_123', # optional caller provided ref code \
  }, \
  files = {"file": open(imageFile, "rb")})

print(r.text) # result in JSON

The open source code of the Colombia recibo OCR in C#, Java, JavaScript, PHP and Python can be found at

Colombia recibo OCR Result

Note the result JSON contains both structured data like merchant name, address, phone, VAT/GST tax registration number, receipt number, country, currency, subtotal, total amounts and line items as well full text OCR. Once you have the result, you can then process it in your receipt scanner apps or receipt scanner software like budgeting and banking applications.

🧾 Try it out yourself: OCR your receipts for free

Beyond Colombia recibo OCR

Besides Colombian receipts, many other countries' receipts are supported: United States Receipt OCR, Mexicano Recibo OCR, EU European Union Receipt OCR, German Receipt OCR (Kassenbon Texterkennung), UK Receipt OCR, French Receipt OCR (OCR Pour Reçus/tickets De Caisse), Italian Receipt OCR, Swiss Receipt OCR, Español Recibo OCR, Nederland Kassabon OCR, Kípros απόδειξη OCR, Thai Receipt OCR ใบเสร็จ, Singapore Receipt OCR, Malaysia Resit OCR, India Receipt OCR, Australian Receipt OCR.

There are many articles online comparing Google Vision, Azure Vision and AWS Rekoginition on general OCR capabilities. Which is the best receipt OCR API? Do check out the detailed receipt OCR API comparisons.