Bank statement to structured data
Bank statements as structured data
Extract bank statement transactions as clean structured data for Python, SQL, Power BI or Looker Studio. Consistent ISO dates, signed amounts and reconciliation metadata.
Last updated
Quick answer
Analysts and developers need statements as data, not documents. Convert PDFs to a consistent CSV schema with ISO dates and signed decimal amounts, verified against the statement's balances, and load it into pandas, a SQL table or a BI tool.
How to do it
- 1
Upload statements.
- 2
Download standard CSV with ISO dates.
- 3
Load with pandas.read_csv, COPY into Postgres, or a BI connector.
A stable schema
Every export uses the same columns — date, description, amount, debit, credit, balance, check_number, reference, category — so you can append statements from different banks into one table without remapping.
Works with statements from
Any bank or card issuer. Notes for popular institutions:
Frequently asked questions
Is there an API?
A public API is on the roadmap. Today, conversions are done in the web app and exported as files.
Convert your first statement in under a minute
20 free pages every month. No credit card. Every export format included.