How to Parse Bank Checks using Python

In this in-depth tutorial we’ll show you how to parse bank checks using Python. Whether you're developing a financial application, automating document processing, or optimizing data management workflows, this tutorial will equip you with the tools to integrate bank check parsing into your Python projects.

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What is Bank Check Parsing?

Bank check parsing is the process of using advanced AI and OCR (Optical Character Recognition) technology to automatically extract essential information from bank checks, such as account numbers, routing numbers, and check amounts. By leveraging AI-driven parsing tools, you can streamline the document processing workflow, reduce manual entry errors, and enhance the efficiency of financial systems.

With bank check parsing, businesses can effortlessly digitize and analyze check data, unlocking faster and more accurate processing for banking and financial applications.

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Applications of Bank Check Parsing

• Financial Institutions: Banks and credit unions can automate the processing of checks, extracting critical information like account numbers, check amounts, and routing details to speed up deposit and clearance processes.
• Payment Processing: Payment service providers can streamline the verification of checks during transactions, reducing manual data entry and improving the efficiency of check-based payments.
• Document Management: Organizations can digitize checks and integrate parsed data into document management systems, making it easier to search, retrieve, and track financial documents.

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How to Parse Bank Checks?

Set Up Your Eden AI Account

1. Create an Account: If you don't have an Eden AI account yet, simply sign up for a free account using the link provided. Once registered, you can obtain your API key from the API Keys section, along with the free credits offered by Eden AI.

2. Access OCR Technologies: Once logged in, head to the OCR section of the platform to access the available tools.

3. Choose Bank Check Parsing: Click on the Bank Check Parsing feature.

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Live Test Models on Eden AI

Once you’ve obtained your API key, you can test various pre-trained models on the Eden AI platform, including the bank check parsing model, which we will use in this tutorial. The platform provides a simple interface for trying out the models before incorporating them into your code.

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Implementing Bank Check Parsing in Python

Install Python’s Requests Module: Before you start coding in Python, you need to install the requests module if you haven't already. This module helps you send HTTP requests to the Eden AI API. To install it, run the following command:

pip install requests

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Code Example

Now, we will write the Python code that interacts with the Eden AI API to parse a bank check. Below is the code example:

import json
import requests

# Set your API key for Eden AI
headers = {
    "Authorization": "Bearer "
}

# Define the URL for the Eden AI API
url = "https://api.edenai.run/v2/ocr/bank_check_parsing"

# Provide the image URL of the bank check you want to parse
json_payload = {
    "providers": "veryfi,base64",
    "file_url": "🔗 URL of your image",
}

# Send the POST request to Eden AI API
response = requests.post(url, json=json_payload, headers=headers)

# Parse the response to get the result
result = json.loads(response.text)

# Print the parsed result from the 'veryfi' provider
print(result["veryfi"])

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Interpreting the Results

The result returned by the Eden AI API contains parsed data from the bank check. Here is an example output with some of the fields you can expect:

{
  "veryfi": {
    "check_number": "123456",
    "account_number": "9876543210",
    "routing_number": "021000021",
    "amount": "100.50",
    "date": "2025-02-20"
  }
}

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Benefits of using Eden AI's unique API

Integrating Eden AI’s powerful API is simple and efficient. In just a few steps, you can leverage its advanced capabilities to streamline processes and achieve quick, accurate results.

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Pre-trained Models

‍Eden AI offers a powerful, pre-trained bank check parsing model, eliminating the need for custom model training and ensuring accurate data extraction right out-of-the-box.

Multiple Providers

‍Eden AI provides the flexibility to choose from many providers, ensuring optimal results tailored to your needs.

Scalability

‍The API is designed to handle high volumes of requests, making it perfect for both small businesses and large enterprises.

Ease of Integration

‍Eden AI’s API is easy to integrate into Python applications, streamlining the process of adding check parsing capabilities to your projects.

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Next Step in Your Bank Check Parsing Project

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The Eden AI team is ready to assist you with your Bank Check Parsing integration project. Here’s how we can help:

• Scheduling a product demo: We can organize a demo and discussion to better understand your specific needs.
• Expert support and advice: Our team of experts can help you find the best combination of providers tailored to your bank check parsing requirements.
• Third-party platform integration: We can quickly develop connectors to integrate Eden AI into your existing platforms, ensuring a smooth implementation process.