How to Extract Financial Documents using Python

Welcome to our tutorial on extracting data from financial documents using Python and Eden AI! Parsing financial documents like invoices, receipts, and bank statements is a common challenge for businesses looking to automate their accounting workflows.

Eden AI provides a unified API to access multiple financial document parsing providers with a single integration.

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What is Financial Document Parsing?

Financial document parsing is the automated extraction of structured data (like vendor names, amounts, dates, line items) from documents like invoices, receipts, and purchase orders using AI and OCR technology.

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How to Extract Financial Documents Using Eden AI & Python

Step 1: Set up your account

Create an account on Eden AI and get your API key from the dashboard.

Step 2: Implement Financial Document Parsing in Python

import requests

headers = {"Authorization": "Bearer YOUR_API_TOKEN"}

url = "https://api.edenai.run/v2/ocr/financial_parser"
json_payload = {
    "providers": "amazon",
    "document_type": "invoice",
    "file_url": "https://your-file-url.com/invoice.pdf",
}

response = requests.post(url, json=json_payload, headers=headers)
result = response.json()
print(result)

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Why use Eden AI?

• Multiple providers: Amazon, Google, Microsoft and more in one API.
• Standardized output: Consistent JSON response format across all providers.
• Cost efficient: Pay only for what you use.

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Conclusion

Financial document parsing with Eden AI and Python is quick to implement and powerful. Sign up free and start extracting data from your financial documents today!

FAQ — Extract Financial Documents using Python