CSV Tools

Actions
Convert
CSV Input
Rows Cols Size
Table Preview

Paste or upload CSV data on the left to preview as a sortable table

The All-in-One CSV Toolkit for Developers

Online Data Tools CSV Tools is a free, browser-based CSV viewer, formatter, and converter that lets you view, clean, and transform CSV data into JSON, XML, SQL, YAML, and Excel. Whether you're cleaning up datasets, preparing database imports, or converting between formats, our tools make it effortless.

How It Works

1
Paste or Upload CSVPaste your CSV data into the editor, drag & drop a .csv file, or click Upload to browse.
2
Choose Your ToolSelect Viewer to explore data, Formatter to clean it, or a converter (JSON, XML, SQL, YAML, Excel).
3
Copy or DownloadCopy the result to clipboard, download as a file, or export directly to Excel.

Common Use Cases

Data Exploration

Preview and explore CSV datasets with sorting, search, and column filtering. Handle large files with thousands of rows.

API Integration

Convert CSV exports to JSON for REST API payloads, or generate YAML for DevOps configuration and Kubernetes manifests.

Database Imports

Generate SQL INSERT and CREATE TABLE statements from CSV data with auto-detected column types for MySQL and PostgreSQL.

Reporting & Cleanup

Clean messy CSV files from multiple sources, normalize formatting, and export to Excel for stakeholder reporting.

Frequently Asked Questions

Are these CSV tools free?

Yes! Online Data Tools CSV Tools are completely free with no sign-up, no ads, and no usage limits.

Is my CSV data safe?

Absolutely. All processing happens in your browser using PapaParse and SheetJS. No data is ever sent to our servers.

How large of a CSV file can I process?

The tools handle files with tens of thousands of rows. The viewer uses pagination to render large datasets efficiently.

Does the CSV to SQL converter detect column types?

Yes. It automatically detects integer, decimal, and text types by scanning your data and generates appropriate column definitions.

Can I use tab-separated (TSV) files?

Yes. The parser auto-detects delimiters including commas, tabs, semicolons, and pipes, so TSV files work automatically.