Statement Sensei helps converts bank statement PDFs to CSVs using the monopoly CLI library. The offline version of the app is available on the releases page.
🎉 Statement Sensei is now live! 🎉
Try it out:
https://statementsensei.streamlit.app/
Statement Sensei can be run as an offline application on Windows, MacOS or Linux.
The offline application runs Streamlit locally, and uses a WebView window to view the browser frontend at http://localhost:8501.
Currently supported banks:
Bank | Credit Statement | Debit Statement |
---|---|---|
Citibank | ✅ | ❌ |
DBS/POSB | ✅ | ✅ |
HSBC | ✅ | ❌ |
Maybank | ✅ | ✅ |
OCBC | ✅ | ✅ |
Standard Chartered | ✅ | ❌ |
UOB | ✅ | ✅ |
ZKB | ❌ | ✅ |
Warning
The offline app may raise security warnings during installation.
Specifically on MacOS, the application will show an "app is damaged and can't be opened" error.
These security warnings happen because the release binaries are unsigned, and are incorrectly flagged as malware.
To get around this, follow these steps for MacOS / Windows.
The Windows Defender alert can be bypassed by clicking "More info" -> "Run anyway".
Install dependencies with Poetry:
poetry install
poetry shell
To run the consumer-facing application:
python entrypoint.py
To run the application in developer mode:
streamlit run webapp/app.py
Otherwise, to run the application as a container:
docker compose up
If running locally with docker: you can either store passwords in an environment variable as a string
export PDF_PASSWORDS='["pass123", "otherpw123"]'
or otherwise store them in an .env file in the project root:
echo 'PDF_PASSWORDS=["foo"]' > .env
- Supports uploading multiple bank statements
- Allows unlocking of PDFs using user-provided credentials via the frontend