Split any CSV file into multiple smaller files by row count. Ideal for batch imports, quota chunking, or parallelising workflows. Browser-based, no upload.
Privacy: Everything runs locally in your browser. Your source file is not uploaded to JAD Apps servers.
Split a large CSV into multiple smaller files of a fixed row count. Each chunk gets the original header, so every output file is a valid standalone CSV. Useful for batch processing systems with row limits, paginated uploads, or distributing work across team members.
Free is enough for most one-off jobs. Pro raises the file and batch caps; Pro + Media unlocks GB-scale streaming and unlimited duration.
Larger files supported on Developer (5 GB CSV) and Enterprise (unlimited). All processing happens in your browser — files never reach a server.
Drop your CSV
Header is auto-detected and replicated into every chunk.
Set rows per chunk
Pick a chunk size. The last chunk may have fewer rows if the total isn't divisible by the chunk size.
Click Split into chunks
Each chunk shows up as a separate downloadable CSV.
Download each chunk
Filenames are numbered: `<original>.part-1-of-N.csv`, etc.
Yes — every output file starts with the same header as the source. Each chunk is a complete, valid standalone CSV.
Row Splitter divides by row count (every N rows). Column Value Splitter divides by the values of a specific column (one chunk per distinct value).
Limited by your tier's row limit. Free's 500-row cap with chunks of 50 means up to 10 chunks; Pro at 100k rows with chunks of 1k means up to 100.
Privacy
Everything runs locally in your browser. Your source file is not uploaded to JAD Apps servers.
Extract a specific number of rows from a CSV file — set a row limit and optional offset to sample, test, or batch data. Browser-based, no upload.
Divide a CSV file into separate files based on the unique values in any column. Each group becomes its own CSV. Browser-based, no upload.
Merge multiple CSV files online by matching headers by column name. Free for 2 files, Pro for 3+ files. Browser-based, no upload.