Add Errors to TSV

Add Errors to TSV introduces controlled mistakes like typos, missing values, and duplicated rows to your tab-separated data. Perfect for testing systems or training models.

Paste your input above or import a file below.
No file chosen
Supported file types: .txt, .tsv, .csv, .log, .json, .xml, .md, .ini, .yaml, .yml, .html, .htm, .css
Total rows: 0
Options
Introduce typos
Randomly remove values
Duplicate random rows
Maximize output

How to Use:

  • Paste or import your TSV content into the left input box.
  • Toggle Introduce typos to randomly scramble one character in a cell per row.
  • Toggle Randomly remove values to blank out random fields in each row.
  • Toggle Duplicate random rows to occasionally insert the same row again.
  • Use Maximize output for a larger preview pane on the right.
  • Output updates live as soon as you change anything.
  • Click Copy Output to copy the modified TSV or Export to File to save it.
  • Hit Clear All to reset everything and start fresh.

What Add Errors to TSV can do:

Add Errors to TSV helps you simulate broken or noisy data. It’s perfect for testing how systems behave with corrupted inputs whether you’re building a parser, training an AI model, or trying to stress-test an import tool. You can inject typos, remove random cells, and duplicate rows all with toggle switches. The tool ensures your header row stays untouched and provides immediate feedback in a live preview.

You can combine error types or enable just one, and the output is always editable, copyable, and export-ready.

Example:

Input:

name	age	city
Alice	30	NY
Bob	25	LA

Options Enabled:

  • Introduce typos: ON
  • Randomly remove values: ON
  • Duplicate random rows: OFF

Output (example result):

name	age	city
Alicf		NY
Bob	25	LA

Common Use Cases:

Use this tool to generate test cases, simulate real-world input errors, or evaluate how resilient your scripts and platforms are when given messy TSV data. Great for QA, data science, and education.

Useful Tools & Suggestions:

After you Add Errors to TSV, it’s worth using Display TSV Statistics to get a sense of how the noise affected your data. And if you need to compare the results to a clean version, Diff Two CSV Files can help even across formats.

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