CSV Viewer
Inspect quoted CSV cells in a readable table without uploading your data.
Open toolCSV Validator
Check CSV format before an import. Paste comma-, semicolon- or tab-delimited records, then review quoting, column consistency and record totals without executing formulas.
Free to useNo sign-upRuns in your browser
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Enter the inputs, then select Validate CSV.
Your result
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Result will appear here
How CSV Validator works
The CSV format checker parses quoted fields and compares each nonblank record with the first record’s column count.
A quoted newline stays inside its cell, while blank records are skipped. The result gives record and column totals with the selected delimiter; a malformed quote or inconsistent width produces a structural error.
How to use CSV Validator
Paste the CSV text and select its delimiter, then inspect the structural validation status and totals.
Paste CSV and choose a delimiter
Use Detect delimiter or select comma, semicolon or tab to match the source. Include the first record: its column count is the reference for every remaining nonblank record.
Input and settings
Check quoting and record widths
Run Validate CSV. The parser checks quoted fields and rejects records with too few or too many cells. It does not execute spreadsheet formulas or interpret cells as application-specific types.
Tool result
Read CSV record and column counts
Read the validation status, Records (including header), Columns and Delimiter values. If an error appears, correct the first reported problem in the original source and validate it again.
Review the details
Tasks for CSV Validator
Check a tabular export before using its records in another application.
Check quoting before import
Verify that commas, quotes and multiline values form valid CSV cells. Validation does not execute spreadsheet formulas.
Find inconsistent record widths
Locate a record with too few or too many cells before sending the file to an importer that expects consistent columns.
Confirm a delimiter choice
Check semicolon or tab data with an explicit delimiter if detection is ambiguous. The count includes a header record when one is present.
Read the CSV structure checks
Use the reported counts to check the parsed structure, then apply the destination’s column requirements separately.
Valid CSV means the parser accepted its quoting and found consistent record widths. The record total includes a header when present and excludes blank records. This result does not confirm required column names, numeric types, dates or business rules.
Check CSV delimiters, quotes and record limits
Use the original export to resolve a parsing error rather than editing separators until the checker passes.
Use at most 5,000 nonblank records, 100 columns and 100,000 input characters. A correctly quoted multiline cell counts as part of one record; a physical line break alone is not a reliable record count.
If delimiter detection creates unexpected columns, choose the documented delimiter explicitly. After fixing quoting or record widths, check field meanings and types with the receiving application’s schema. Structural validation does not establish that an import will succeed.
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Open toolCheck CSV quoting and column consistency
Paste your CSV, select the delimiter and review the record totals or first reported structural error.
CSV Validator: common questions
Answers about using CSV Validator and understanding its results.
Does it check email addresses or dates?
No. It checks quoting and record widths. Apply your own column schema after structural validation.
Can a field contain a line break?
Yes, when the cell is correctly quoted.