Analyze CSV structure — column types, counts, unique values, and empty cells. Spot malformed rows and mixed types before import. Input never leaves your device — everything runs locally in your browser.
Content reviewed October 2026 · About Toolzum
Validate CSV structure — flag rows with wrong column counts and empty cells before import. Catch bad rows locally — free, no signup.
Remove duplicate rows from CSV data based on a specific column. Keep only unique values for cleaner datasets — local processing, free, no signup.
Rename CSV headers in bulk with old:new mapping — standardize client exports fast. Fix 40 messy columns before import — local parsing, free, no signup.
Analyze log files — error grouping, level counts, time clustering. Find the 3am spike cause in minutes — local parsing, free, no signup.
Inspect JSON API payloads for structure, size breakdown, and key depth — spot sensitive fields before sharing logs before production incidents.
Column types (text, number, date), row count, unique value count, empty/null cell count per column, and data distribution. Identifies data quality issues before analysis.
Yes. The analyzer inspects column values and classifies columns as numeric, text, date, or boolean. This helps determine which columns can be used for calculations vs categories.
Yes. For each column, the analyzer shows the count of unique values and can list them. This identifies cardinality — whether a column has few categories or many unique entries.
Yes. Check for empty cells, unexpected data types, and encoding issues before importing into databases, spreadsheets, or analysis tools.
No. All analysis happens locally in your browser. No CSV data is sent to any server.
CSV Statistics
Profile CSV datasets — row counts, column types, null rates, value distributions. Scope data quality before analysis — local parsing, free, no signup.
CSV Data Cleaner
Clean messy CSVs — trim whitespace, fix encodings, deduplicate rows, standardize blanks. Make client exports analysis-ready — local processing, free, no signup.