CSV Viewer & Parser

CSV (Comma-Separated Values) is a plain text format for storing tabular data. Each line represents a row, and values within a row are separated by commas. CSV files are commonly used for data exports, database imports, spreadsheets, and data exchange between applications. Viewing CSV files in a structured table format makes it easier to analyze and understand the data compared to viewing raw text.

The CSV viewer parses your uploaded CSV file entirely in your browser using JavaScript. It detects delimiters (commas, semicolons, tabs, or pipes), identifies headers, and displays the data in an interactive table. You can then filter, search, sort, and export the data. All processing happens client-side, so your data remains completely private and secure.

The tool automatically detects and supports multiple delimiter types including commas (,), semicolons (;), tabs (\t), and pipes (|). It intelligently analyzes your file to determine the most likely delimiter. You can also manually select a specific delimiter if the auto-detection doesn't match your needs.

Yes, the tool can handle moderately large CSV files (up to several MB). However, very large files (over 10MB) may affect browser performance depending on your device's capabilities. For optimal performance, we recommend files under 5MB. Large datasets may take a moment to parse and render in the table view.

Yes, the tool automatically detects if your CSV file has a header row and uses it to label columns. If your file doesn't have headers, the tool will generate generic column names (Column 1, Column 2, etc.). You can also toggle the header option manually if the auto-detection is incorrect.

Absolutely! The tool provides real-time filtering and search capabilities. You can search across all columns simultaneously or filter specific columns. The search is case-insensitive and highlights matching results, making it easy to find specific data within large datasets.

You can export your CSV data to multiple formats including JSON, cleaned CSV, and formatted text. The JSON export is particularly useful for developers who need to convert CSV data for use in APIs or JavaScript applications. All exports respect any active filters, so you can export subsets of your data.

Yes, your data is completely secure. All CSV parsing and processing happens entirely in your browser using client-side JavaScript. No data is uploaded to our servers or transmitted anywhere. Your CSV files never leave your device, ensuring complete privacy and data security.

Yes, you can sort data by clicking on column headers. The tool supports both ascending and descending sorting for text, numbers, and dates. Click once for ascending order, twice for descending order, and a third time to remove sorting. Numeric columns are sorted numerically, not alphabetically.

The tool handles inconsistent CSV files gracefully. If rows have different numbers of columns, the parser will pad shorter rows with empty values and truncate longer rows to match the header column count. You'll see a warning message if inconsistencies are detected, allowing you to review and clean your data.

Yes, the tool supports UTF-8 encoding and properly handles special characters, accented letters, and Unicode symbols. Common characters from various languages, emojis, and special symbols are all displayed correctly in the table view.

Simply click the "Paste CSV Data" button or paste directly into the text input area. This is useful for quickly viewing small CSV snippets copied from emails, documentation, or other sources without needing to save them as files first.