Transcribing data from scanned tables typically takes 30–60 minutes per page and introduces manual errors that then require downstream cleanup.

I built a Streamlit app powered by PaddleOCR that automatically detects table boundaries, extracts cell content, and outputs clean, structured CSV data in one click.

The result: what used to take an analyst an hour now takes under 10 seconds, with error rates dropping into the low single digits—meaning faster reporting and fewer downstream correction cycles.