Test TSV Data

Audit Tab-Separated Values (TSV) for formatting anomalies, ragged rows, stray quotes, unclosed quoted fields, empty headers, and duplicate column names with precise line and column error reporting.

Private • In-browser processing • Zero server uploads

Interactive workspace loading...

How to Use Test TSV Data

1
Paste TSV File
Paste your tab-delimited text into the input field or upload a .tsv file.
2
Configure Rules
Toggle checks for duplicate column names and empty headers.
3
Inspect Diagnostics
Review the instant validation breakdown highlighting any row or column discrepancies.

Key Features

Row-by-Row Column Verification
Flags ragged rows where column counts diverge from the baseline header length.
Stray & Unclosed Quote Detection
Identifies malformed quotes that cause downstream parser failure.
Header Hygiene Checks
Pinpoints duplicate header titles and blank header names.
Comprehensive Audit Summary
Displays total rows, total columns, and exact line/column indicators for every defect.

Common Use Cases

  • Pre-validating bioinformatics and genomics TSV datasets (e.g. VCF, GFF, BED files).
  • Ensuring data cleanliness before importing into SQL databases, PostgreSQL COPY commands, or BigQuery.
  • Troubleshooting Excel and Google Sheets copy-paste errors caused by hidden tabs.
  • Auditing batch data pipeline exports for silent column misalignment.

Frequently Asked Questions

A ragged row occurs when a data row has fewer or more columns than the header row, usually caused by missing tabs, extra tabs, or unquoted line breaks.

According to tabular standards (and RFC 4180 conventions extended to TSV), a tab can exist inside a field only if that field is enclosed in double quotes (e.g. "text\twith\ttab").

No. The entire verification algorithm runs 100% in your local browser for complete data privacy.