I had to convert a batch of PDF invoices to CSV for import into our accounting system. Here's a Python script using the SERPSpur Invoice to CSV Converter API:
python
import requests
API_KEY = "your_api_key_here"
def convert_invoice_to_csv(pdf_path):
with open(pdf_path, "rb") as f:
files = {"file": f}
response = requests.post(
"https://api.serpspur.com/v1/invoice-converter",
headers={"Authorization": f"Bearer {API_KEY}"},
files=files
)
if response.status_code == 200:
return response.json().get("csv_url")
return None
Example usage
csv_url = convert_invoice_to_csv("invoice_2024.pdf")
if csv_url:
print(f"CSV ready: {csv_url}")
else:
print("Conversion failed")
This handled complex table structures surprisingly well. Have you found a reliable solution for invoice data extraction?
Top comments (2)
That's a slick workflow! I've been burned by PDF-to-CSV tools mangling table layouts, so it's great to hear this one handles complex structures. Do you have any fallback parsing logic in case the API returns weird data for a specific invoice?
Nice work automating that pipeline! I've had decent luck with tabula-py for simpler PDF tables, but for complex invoices with varying layouts, an API like this seems far more robust. Did you have to handle any edge cases like missing fields or different currency formats?