Berlin CSV Viewer & Converter

How to Use the CSV Viewer

This free online CSV viewer and converter lets you paste CSV data and instantly view it as a sortable, searchable table. It supports comma, semicolon, tab, and pipe delimiters, handles quoted fields correctly, and exports to JSON or SQL INSERT statements — all processing happens in your browser with no data uploaded to any server.

Step-by-Step

1. **Paste your CSV data** into the input area, or load a sample dataset.

Select the delimiter — The tool auto-detects commas, but you can manually select semicolons, tabs, or pipes.

View as table — The CSV is rendered as a styled, sortable table with column headers.

Sort and search — Click column headers to sort, or use the search box to filter rows.

Export — Convert the data to JSON or SQL INSERT statements and copy the output.

Features

Multiple delimiter support — Comma (,), semicolon (;), tab (\t), and pipe (|) delimiters with auto-detection.

Column sorting — Click any column header to sort the table ascending or descending.

Row filtering — Search across all columns to filter rows in real-time.

Quoted field handling — Correctly parses fields wrapped in double quotes, including fields containing the delimiter character itself.

JSON export — Convert the CSV to a JSON array of objects using the header row as keys.

SQL export — Generate SQL INSERT statements for importing the data into PostgreSQL, MySQL, or SQLite.

Row and column counts — See the total number of rows and columns in your dataset.

Client-side only — All parsing and conversion happens in your browser.

Common Use Cases

Quick Data Inspection — Paste CSV exports from databases, analytics platforms, or spreadsheets to view the data in a clean table format without opening Excel or Google Sheets.

CSV to JSON Conversion — Convert CSV files to JSON for use in web applications, APIs, test fixtures, or configuration files.

CSV to SQL Migration — Generate INSERT statements to import CSV data into relational databases during migration or seeding.

Data Validation — View the data in table format to spot missing values, inconsistent formatting, or incorrect delimiters before processing.

Log and Report Analysis — Paste CSV-formatted log exports or business reports to sort and filter the data quickly.

Tips for Power Users

- If your CSV uses semicolons (common in European locales), manually select the semicolon delimiter for correct parsing.

- The search filter works across all columns simultaneously — great for finding specific records in large datasets.

- Sorting is string-based for text columns and numeric for number columns, based on auto-detection.

- When exporting to SQL, the tool uses the first row as column names and wraps string values in single quotes.

- For tab-separated values (TSV), select the tab delimiter. TSV is common in log files, spreadsheet exports, and bioinformatics data.

Why Use this Berlin utility?

This CSV viewer processes your spreadsheet data entirely in your browser — no file uploads, no server-side processing, and no data retention. This makes it safe for viewing sensitive business data, financial reports, or customer records. It's faster than opening Excel for a quick data inspection and gives you JSON and SQL export options that spreadsheet applications don't provide natively.

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FAQ: Berlin CSV Viewer & Converter

Does it support Multi-delimiter auto-detection?

Yes, the Berlin CSV Viewer & Converter is fully optimized for multi-delimiter auto-detection using our zero-knowledge local engine.

Does it support Interactive sortable grid?

Yes, the Berlin CSV Viewer & Converter is fully optimized for interactive sortable grid using our zero-knowledge local engine.

Does it support SQL/JSON export modules?

Yes, the Berlin CSV Viewer & Converter is fully optimized for sql/json export modules using our zero-knowledge local engine.

Does it support Quoted field preservation?

Yes, the Berlin CSV Viewer & Converter is fully optimized for quoted field preservation using our zero-knowledge local engine.