This online CSV viewer and editor lets you open, inspect, sort, filter and export CSV files directly in your browser.
Quickly view CSV data online and analyze CSV files in an interactive table without uploading anything to a server.
A CSV viewer is a tool that reads Comma-Separated Values files and renders them as a structured, readable table. CSV is one of the most widely used tabular data formats, exported by spreadsheets, databases, analytics platforms and countless APIs. Our online CSV viewer parses the raw text, detects columns and rows, and displays them with sorting, filtering and pagination - without installing any software.
Opening large or unfamiliar CSV files in a spreadsheet can be slow, can reformat values (dates, leading zeros, scientific notation) and often requires desktop software. An online CSV viewer gives you instant access from any device, preserves the raw text, and provides fast exploration features like global search, per-column filters and resizable columns - ideal for developers, analysts and QA engineers.
Using the tool takes three simple steps:
.csv, .tsv or .txt file, paste from clipboard, or load the built-in sample.Our CSV viewer is built for speed, privacy and flexibility. Parsing happens entirely in your browser using a quote-aware parser that respects RFC 4180 rules, so sensitive data never leaves your machine. Unlike basic previewers, it supports configurable delimiters and quotes, global and per-column filters, column visibility toggles, resizable and reorderable columns, and direct CSV export - everything you need for day-to-day data exploration.
CSV looks trivial at first glance, but real files are full of edge cases. Our parser follows the core rules of RFC 4180:
, by default, also ;, \t, | or space)."").\n, \r or \r\n - all are normalized automatically.The viewer combines a configurable parser with an interactive data grid to make CSV exploration effortless:
.csv, .tsv and .txt files.A CSV viewer is useful across many domains and workflows:
Yes. All parsing, filtering, sorting and exporting happens entirely inside your browser using client-side JavaScript - your CSV file is never uploaded to our servers. There is no account, no tracking of file contents and no cloud storage, which makes the viewer suitable even for confidential business data, log files or exports containing personally identifiable information.
For maximum safety, the tool also works fully offline after the first load, so you can review sensitive CSV files in restricted or air-gapped environments.
DevTools is a curated suite of free, ad-free developer utilities designed around speed, privacy and usability. Our CSV viewer is built to the same standards as the rest of the platform: a consistent interface, no artificial limits, no upsells, and a strong focus on keyboard and pointer ergonomics. Every feature - from keyword search to column reordering - is there because it is genuinely useful in real-world CSV work.
Whether you open one CSV file a month or dozens a day, you get a predictable, professional tool that integrates smoothly with other DevTools utilities for JSON, SQL and text processing.
After filtering and sorting your CSV, one click on Export produces a clean, properly quoted .csv file that you can share, commit to a repository or import into another system. Values containing delimiters or quotes are automatically wrapped and escaped so the output stays RFC 4180 compatible.
For more advanced transformations, continue your workflow with other DevTools utilities:
.env variables with the JSON to ENV converter.Yes, it is completely free with no registration, ads or file-size subscriptions.
No. All parsing and rendering happens locally in your browser. Your CSV data never leaves your device.
You can choose between comma, semicolon, tab, pipe and space as delimiters, and double, single or no quote character - covering CSV, TSV and most European and custom exports.
Yes. The viewer streams and paginates rows, so it handles large files efficiently - the practical limit depends on your browser's memory. For very large datasets (>100 MB) server-side processing is usually more appropriate.
Yes. Select the Tab or Pipe option in the delimiter dropdown and the tool will parse TSV and pipe-separated files the same way as standard CSV.
Yes. Click the Export button to download the currently loaded CSV as a standards-compliant .csv file with proper quoting and escaping.
No. Values are treated as plain strings, so dates, leading zeros and long numbers are preserved exactly as they appear in the source file.
To deepen your knowledge of the CSV format and browser-based file handling, these external references are a great place to start:
File, Blob and FileReader.