Works offline
Once loaded, the converter keeps working without a network.
100% Local Processing · No uploads · No accounts · No data stored
Drop a spreadsheet, pick an output, and download the result. Everything runs on your device — the file never leaves your machine.
More formats coming soon
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Your data never leaves your device. Everything is processed locally in your browser.
Once loaded, the converter keeps working without a network.
Streaming parse keeps the tab responsive up to 100 MB.
Headers, order, and types stay intact in the export.
No upload endpoint. Parsing happens in a local worker.
Every destination has a purpose-built writer — not a generic dump.
An array of objects, one per row. Switch to NDJSON for line-delimited output.
One sheet, typed cells, header row frozen and column widths sized to content.
A paginated table with the header repeated on every page. A4 or Letter, portrait or landscape.
Nested elements with your own root and row tag names. Attributes optional.
Block style, two-space indent, strings quoted only where they need to be.
A CREATE TABLE plus batched INSERTs for Postgres, MySQL or SQLite.
Markdown gives you a pipe table with aligned columns, ready to paste into a README or a ticket.
Delimiter, encoding and header row are detected on the first few kilobytes.
Pick JSON, Excel, PDF, XML, YAML, SQL or Markdown and tune options.
The finished file is assembled in memory and saved to your downloads folder.
No uploads, no accounts, no server round-trips. Every conversion happens on your device using local workers.
Streaming parse keeps the tab responsive even on files with hundreds of thousands of rows.
Every format, every conversion, no limits and no paywall. Open the page and get to work.
Practical walkthroughs on data conversion, CSV tips, and format-specific tricks.
Moving data from a spreadsheet into a relational database is one of the most common data-engineering tasks. Converting a CSV to SQL INSERT statements gives you a script you can...
Markdown has become the default writing format for developer documentation, GitHub READMEs, Notion pages, Confluence, and static-site generators. When you need to include tabular data in any of these tools,...
YAML is the configuration language of the DevOps world — Kubernetes manifests, Ansible playbooks, GitHub Actions workflows, and Rails fixtures all use it. If your data starts as a spreadsheet...
XML remains the lingua franca of enterprise systems, SOAP web services, configuration files, and product data feeds. Converting a CSV to XML lets you feed tabular data into these systems...
ConvertRow converts CSV files into JSON, Excel (.xlsx), PDF, XML, YAML, SQL INSERT statements, and Markdown tables. Pick a format, adjust any options, and download — all in a single step.
No. Every conversion runs entirely in your browser using local workers. Your CSV is never sent to any server, which means it stays on your device the whole time.
There is no hard cap. The converter uses a streaming parser so it stays responsive even on files with hundreds of thousands of rows. Very large PDFs may take a moment to render in the browser.
Any modern browser that supports Web Workers works — Chrome, Firefox, Safari, and Edge. No extensions or plugins needed.
Yes. Every format, every conversion, and every feature is free with no account required. There are no rate limits or paywalled tiers.
Open the converter, drop or paste your CSV file, select JSON as the target format, choose whether you want an array of objects or NDJSON, and click Download.
Yes. The Excel export produces a properly formatted .xlsx file with typed cells and a frozen header row. The PDF export creates a paginated table — you can choose A4 or Letter and portrait or landscape.
The Formats page has a dedicated guide for every supported output with examples and tips. The blog also covers practical data-conversion workflows in depth.