Anyone handed an unfamiliar CSV or Excel file

Messy spreadsheets to decision-ready reports

Headers, dates, categories, numbers, and reused columns rarely arrive ready for analysis.

What Patlr does

  1. 01Profile completeness and duplicates
  2. 02Interpret fields by meaning
  3. 03Normalize useful measures
  4. 04Surface supported findings without inventing claims

Decision outcome

Understand what the file can answer, what needs validation, and what action the evidence supports.

Accepted files: CSV, TSV, JSON, XLSX, and XLS. Free beta: seven full reports per month and one redo per dataset. Source files stay in the browser whenever possible.

Analyze a file free