Split CSV
Split a large CSV file into multiple smaller files based on row count, with each output file retaining the original column headers. Ideal for breaking up large datasets for batch processing or import limits. Runs locally on your self-hosted SnapOtter instance.
Features
- Split by configurable row count per output file
- Preserves column headers in every output file
- Handles large files with hundreds of thousands of rows
- Outputs numbered files for easy ordering
- Downloads all parts as a ZIP archive
What you can do
- Breaking a 100k-row CSV into 10k-row chunks for bulk email imports
- Splitting large data exports to meet upload size limits on other platforms
- Dividing CSV datasets into manageable parts for parallel processing
- Creating smaller CSV batches from a master customer list for team distribution
Self-hosted. Your files never leave your network.
SnapOtter runs entirely on your own infrastructure. Files processed with Split CSV are never uploaded to third-party servers. Deploy a single Docker container and process files with full privacy, no watermarks, and no usage limits. Open source under AGPL-3.0.
Frequently asked questions
- Are headers included in every split file?
- Yes, the original column headers are automatically included at the top of every output file. All processing happens locally on your self-hosted SnapOtter server.
- How many rows per file can I set?
- You can configure any row count per output file. The tool splits the CSV accordingly and packages the results. Processing runs entirely on your own infrastructure.
- Can I split very large CSV files?
- Yes, the tool handles large files with hundreds of thousands of rows efficiently. All splitting happens locally on your server without uploading data to any external service.
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