106 characters · 8 words · 106 bytes (UTF-8)
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106 characters · 8 words · 106 bytes (UTF-8)
Output will appear here
Click in the output to select all text
Merge multiple CSV files or blocks into a single unified dataset.
Format and align CSV columns with consistent delimiters and quoting.
Validate CSV data integrity, column count consistency, and quoting rules.
Inspect column data types, unique values, null counts, and row statistics.
Convert CSV rows into an array of JSON objects with type inference.
Bidirectional conversion between Tab-Separated (TSV) and Comma-Separated (CSV) data.
Some tools cap the number of rows they'll accept in a single CSV upload, and huge datasets can be unwieldy to work with as one file. This CSV splitter breaks a large CSV into smaller chunks by a row count you specify, keeping the header row intact in every output file so each chunk remains independently usable. It's handy for data engineers batching large exports, marketers uploading contact lists to platforms with row limits, and anyone needing to distribute a big dataset across multiple smaller files. Splits are computed instantly regardless of how many rows your file has. Since processing runs entirely in your browser, your data is never uploaded to a server, and there's no signup required. Paste your CSV below to split it into manageable chunks.
You specify a row count per chunk, and the tool divides your data into sequential files of that size, repeating the header row in each output file.
Yes, the header row is automatically added to the top of every generated chunk so each file remains valid and self-contained.
Common reasons include row limits on upload tools, easier version control diffs, parallel processing, or emailing data in smaller pieces.
Row count is the primary splitting method; for splitting by column values or conditions, you may need a scripting approach.
No, the splitting process runs entirely in your browser using local JavaScript - your file is never sent to a server.
It's designed to handle large files efficiently since processing is local, though extremely large files may depend on your device's available memory.
Yes, use the companion CSV Merger tool to recombine multiple CSV chunks back into a single file.