PSV Validator
Drop any .psv file to instantly check its structure. Validates column consistency across every row, checks quoting, flags encoding issues, detects empty rows and duplicate headers, and previews the first few rows. Nothing leaves your browser.
PSV File
Drop a .psv file here, or
Supports .psv and .txt files up to 50 MB
⛔
Wrong file type — only .psv or .txt files are supported. You dropped a file.
Validation Errors
Warnings
✓ Valid PSV
Column Headers
Data Preview (first 5 rows)
How It Works
1
Drop your PSV fileDrag it onto the drop zone or click "browse" to select it from your device. Supports .psv and .txt files.
2
Structure analysisThe validator confirms pipe
| as the delimiter, scans every row for column count consistency, checks quoting and escape characters, and detects encoding issues like a BOM marker or null bytes.3
Review the reportGet a pass/fail result plus full stats: row count, column count, delimiter, empty cells, duplicate headers, and a live data preview.
What Gets Validated
- Delimiter confirmation — verifies the file uses the pipe character
|as the separator and warns if pipes are absent or inconsistent. - Column consistency — every data row is compared against the header column count. Rows with too many or too few fields are flagged with their line number.
- Quote integrity — detects unclosed double-quote fields that would cause parsers to misread the rest of the file.
- Duplicate headers — checks the first row for repeated column names, which break most data pipelines.
- Empty rows — counts and flags completely blank rows, which can cause off-by-one errors in downstream processing.
- Encoding issues — detects a UTF-8 BOM (byte order mark) and null bytes that indicate binary content or wrong encoding.
- File statistics — reports total rows, column count, empty cells, file size, line ending style (CRLF vs LF), and whether a header row was found.
- Data preview — renders the first 5 data rows in a formatted table so you can visually confirm the parse is correct.
🔒 Privacy & Security
All validation is performed locally using the Web File API and the FileReader API. Your PSV data is never sent to a server. Suitable for sensitive business data, customer records, or any private tabular content.