Data Sampler

Sample rows from a large CSV online — random sampling, first N, last N, or every-nth row to reduce dataset size.

Free for files up to 5 MB and 10,000 rows. Files are processed in your browser — nothing is uploaded to a server. No account required.

About Data Sampler

Cut a large file down to a workable size. Random pulls N rows from anywhere in the file, First N and Last N take from either end, and Every Nth walks the file at a fixed interval.

Testing a mapping against a two-million-row event export is the standard case: take 500 random rows, push them through the import, and find the schema problem before committing to the full load. For time-series data, Every Nth is the better pick, because it keeps a spread across the whole period instead of clustering at one end.

Random sampling never returns the same row twice, and sampled rows keep their original file order so they stay easy to trace back.

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