Free CSV viewer

1. Add your data. Drag a .csv file onto the drop zone above, click to browse for one, or paste raw CSV text straight into the text box and hit Parse CSV.
2. Browse the grid. The first row is treated as the header, and every row underneath becomes a record you can scroll through in a familiar table layout.
3. Search and sort. Type into the search box to filter across every column at once, or click a column header to sort ascending, then descending, then back to the original order.
4. Export what you need. Use Download JSON to save the currently sorted and filtered rows as a .json file, or Copy JSON to paste them straight into another tool or script.

Because parsing happens locally, there is no file size cap enforced by a server, no waiting on an upload progress bar, and no account required — you can open CSV online as many times as you like, for free.

Switching a spreadsheet export into JSON is one of the most common data-wrangling tasks for developers, analysts, and no-code builders. This tool treats the first row of your CSV as field names and converts every subsequent row into a JSON object with those fields as keys — exactly what Papa.parse with header: true produces under the hood. Empty lines are skipped automatically, so a CSV exported from Excel, Google Sheets, or a database dump with trailing blank rows still parses cleanly.

Once parsed, the same sorting and search filters that shape the on-screen grid also shape the exported JSON — so if you search for a specific customer or sort by date before exporting, the JSON you download or copy reflects that view, not just the raw file order.

Sometimes the data starts as JSON — an API response, a MongoDB export, a webhook payload — and you need a flat spreadsheet instead. Switch this tool to JSON → CSV mode, paste or upload a JSON array of objects, and it builds a proper CSV file automatically.

• Union-of-keys header. Not every object needs identical fields. The converter scans every item in the array and builds a header row from the union of all keys it finds, in the order they first appear, so no column is silently dropped just because one row was missing it.
• Missing fields become empty cells. If an object doesn't have a particular key, that cell is left blank in the output row rather than causing an error.
• Proper quoting. Any value containing a comma, a double quote, or a line break is wrapped in quotes and internal quotes are escaped by doubling them, matching the CSV convention spreadsheet software expects.
• One click to download. Once the conversion finishes you get a live preview plus a Download CSV button that saves a ready-to-import .csv file.

• No install, no license. You don't need Excel, Numbers, or a Google account open in another tab just to eyeball a CSV someone emailed you.
• Faster for a quick look. Opening a spreadsheet app can take longer than the glance you actually need. This tool renders the grid the moment the file finishes parsing.
• Nothing leaves your device. Spreadsheet software that syncs to the cloud can quietly upload the file. Everything here runs client-side, so sensitive exports — customer lists, financial data, internal reports — never touch a server.
• Built for developers. The CSV-to-JSON and JSON-to-CSV conversion is aimed squarely at people who need the data in a specific shape for an API, a script, or a database seed file, not just a printable table.

• Ragged rows. If a row has more or fewer fields than the header, PapaParse flags it as a warning instead of failing the whole parse — you'll see a note above the grid so you know to check the source file.
• Blank lines. Trailing empty lines at the end of an exported CSV are skipped automatically instead of showing up as a row of empty cells.
• Quoted fields with commas. Values like "Smith, John" or fields containing embedded line breaks are parsed correctly rather than being split into extra columns.
• Invalid JSON on the reverse path. If you paste malformed JSON when converting to CSV, the tool shows the parser's exact error message so you can find and fix the problem instead of guessing.
• Non-array JSON. A single object, a nested structure, or an array of arrays isn't a flat table, so the tool tells you it needs an array of objects rather than silently producing garbage output.

• Developers & data engineers quickly convert CSV to JSON to seed a database, feed a fixture file, or shape an API test payload.
• Marketers & growth teams open CSV exports from ad platforms or CRMs to sanity-check columns before importing them into another tool.
• Analysts sort and search a CSV on the spot without spinning up a spreadsheet or notebook for a one-off look.
• Support & ops teams inspect a customer or order export sent by a client without emailing it further or opening it in cloud-synced software.
• Students & researchers preview a dataset's structure — column names, row count, sample values — before writing any analysis code against it.
• No-code builders reshape JSON from a webhook or API into a CSV they can import into Airtable, Google Sheets, or a CRM.

• Keep the first row as plain column headers with no merged cells — merged headers from Excel exports often break the first column's name.
• Export from spreadsheet software as UTF-8 CSV when your data has accented characters or non-Latin text, to avoid garbled cells.
• Use the search box to spot-check a specific value before trusting a large export — it filters across every column simultaneously.
• Sort by a date or ID column first to confirm the export is in the order you expect before converting it downstream.
• When converting JSON to CSV, flatten deeply nested objects first — the converter treats nested objects and arrays as JSON strings inside a cell rather than expanding them into new columns.

Once your data is clean, pair this with the online database viewer if the same dataset also lives in a SQLite file, or the JSON formatter to pretty-print the output before you paste it somewhere else.

Yes. Every part of this tool — reading the file, parsing it with PapaParse, sorting, searching, and converting to or from JSON — runs entirely inside your browser tab. Nothing is uploaded to a server, so it works offline once the page has loaded, keeps working with no account or sign-up, and never logs or stores the contents of your file. That makes it safe to open CSV online even for sensitive exports like customer lists, financial records, or internal reports.