Why Validate Your CSV Before Conversion?
Every CSV converter on the internet suffers from the same problem: garbage-in, garbage-out. If your CSV has encoding issues, hidden duplicates, or inconsistent column types, your converted output will be broken. This validator catches all the issues that silently corrupt your data during conversion.
What We Check
Encoding Detection: UTF-8 vs Latin-1, BOM detection, character encoding issues that cause garbled output.
Duplicate Detection: Identifies exact row duplicates that inflate your dataset and cause redundant processing.
Missing Value Analysis: Visual heatmap shows which columns have empty cells and what percentage is missing.
Type Inference: Automatically detects if each column should be integer, decimal, boolean, date, email, or string — and flags inconsistencies.
Anomaly Detection: Spots statistical outliers (values 4+ standard deviations from mean) and suspicious placeholder values (N/A, null, unknown).
Frequently Asked Questions
What encoding issues can this detect?
The tool detects UTF-8 BOM, UTF-16, and Latin-1 (ISO-8859-1) encoding. If your CSV looks garbled when opening in Excel, it is likely an encoding issue this tool can identify.
How does it detect duplicate rows?
It creates a hash of each row and compares them. Exact duplicates (including case differences) are flagged with their row numbers.
Can I export the validation report?
Yes. Click "Download Report" to get a JSON file with the complete analysis including all anomalies, column statistics, and quality scores.
Does this validate CSV against a schema?
This tool infers the schema from your data (type detection). For schema validation, use our SQL Schema to JSON tool which validates against a defined schema.