Convert Bank Statement PDF to Excel or CSV — Free & Automated

Convert Bank Statement PDF to Excel or CSV — Automated

Every month, accountants spend hours copying bank statement data into spreadsheets. This guide shows how to convert any bank PDF to Excel or CSV automatically — no templates required, any format supported.

Quick Start

import requests, pandas as pd

resp = requests.post(
    "https://api.bank-statement-parser.clkr.work/extract",
    headers={"X-Api-Key": "pex_your_api_key"},
    files={"file": open("statement.pdf", "rb")}
)

df = pd.DataFrame(resp.json()["transactions"])
df.to_excel("transactions.xlsx", index=False)
print(f"Done: {len(df)} rows exported")

Why Copy-Paste Fails

Bank PDFs don't preserve table structure. When you copy and paste:

• Columns merge into a single column
• Dates appear as unformatted text
• Negative amounts may be lost
• Special characters may corrupt

Batch Export — Process Multiple Files

import os, requests, pandas as pd

api_key = "pex_your_api_key"
folder = "./statements"
all_transactions = []

for filename in os.listdir(folder):
    if not filename.endswith(".pdf"):
        continue
    resp = requests.post(
        "https://api.bank-statement-parser.clkr.work/extract",
        headers={"X-Api-Key": api_key},
        files={"file": open(f"{folder}/{filename}", "rb")}
    )
    transactions = resp.json()["transactions"]
    for t in transactions:
        t["source"] = filename
    all_transactions.extend(transactions)
    print(f"✓ {filename}: {len(transactions)} transactions")

pd.DataFrame(all_transactions).to_excel("all_transactions.xlsx", index=False)

Supported Formats

Any bank from any country is supported for text-based PDFs. When the system encounters a new format, it automatically analyzes the structure and builds a parsing profile — no manual work required.

Free Tier

100 pages/month free. [Get started →](https://bank-statement-parser.clkr.work/en/register)