CSV Viewer - Open & Search CSV Files Online, No Upload
Open CSV and TSV files in a sortable, searchable table — everything is parsed locally in your browser and your files are never uploaded to any server.
Choose a .csv or .tsv file, or paste raw text and click Parse text. The viewer auto-detects the delimiter, shows row and column counts, and lets you sort, filter, and export the data — all on your own device.
CSV Viewer - Open & Search CSV Files Online, No Upload
Open CSV and TSV files in a sortable, searchable table — everything is parsed locally in your browser and your files are never uploaded to any server.
How it works: the file is read in your browser with the FileReader API and parsed by the papaparse library, which auto-detects commas, tabs, and semicolons. Nothing leaves your computer.
About the CSV viewer
CSV (comma-separated values) is the lingua franca of tabular data: spreadsheets, database exports, analytics dashboards, bank statements, and log pipelines all speak it. Yet opening a CSV file is often harder than it should be. Excel silently reformats dates and strips leading zeros, plain text editors show an unreadable wall of commas, and many online viewers ask you to upload your data to their servers — a non-starter for anything confidential. This CSV viewer takes a different approach: the file is read and parsed entirely inside your browser using the FileReader API and the battle-tested papaparse library, so the contents never travel over the network and are discarded the moment you close the tab.
The viewer accepts both comma-separated (.csv) and tab-separated (.tsv) files and auto-detects the delimiter, so semicolon-delimited European exports work too. If your data lives in an email, a terminal, or a code snippet rather than a file, paste it straight into the text box and parse it from there. A checkbox controls whether the first line is treated as a header row; switch it off for headerless machine exports and the viewer will number the fields for you.
Once parsed, the data appears in a scrollable table with the row and column counts displayed above it. Click any header to sort by that field — the sort is numeric-aware, so 9 correctly comes before 10 — and click again to reverse the order. The filter box performs a live, case-insensitive substring search across every cell, which is the fastest way to find one record in a large export. To keep the page responsive, the table displays up to five hundred rows at a time and tells you when it has truncated the view; filtering still runs across the complete dataset.
When you have narrowed the table down to the rows you care about, the export button converts exactly those rows into a JSON array of objects keyed by the header names and downloads it — handy for feeding cleaned-up data into scripts or APIs.
There are a few limitations worth knowing. Parsing happens in memory, so extremely large files (hundreds of megabytes) may be slow on modest hardware. The viewer is read-only by design: it will not edit cells or rewrite your file. And because everything is client-side, closing the page discards the parsed table — your original file on disk is never modified.
CSV viewer examples
Typical inputs and what the viewer shows for each of them.
| Input | What you see | Note |
|---|---|---|
| orders.csv with a header line and 1,200 records | A sortable table reporting 1,200 data rows across its columns | The first line becomes the clickable header row when the header checkbox is on. |
| A tab-separated export pasted from a terminal | The same table view — tabs are detected automatically | No need to convert TSV to CSV first; the delimiter is sniffed from the text. |
| Typing "refund" into the filter box | Only rows where any cell contains that word, with the match count shown | Filtering is case-insensitive and searches every column at once. |
| Clicking a price column header twice | The table sorted by price in descending numeric order | Numeric columns sort by value, so 90 stays below 100. |
How to view a CSV file online
- Click the file picker and choose a .csv or .tsv file, or paste raw text into the box and press Parse text.
- Tick or untick "First row is a header" depending on whether your data starts with column names.
- Sort any column by clicking its header; click again to flip between ascending and descending.
- Type in the filter box to keep only rows containing your search term anywhere in the row.
- Optionally press the JSON export button to download the currently filtered rows as a JSON file.
CSV viewer FAQ
Is my CSV file uploaded to a server?
No. The file is opened with your browser's FileReader API and parsed locally with JavaScript. No bytes are sent over the network, nothing is stored, and closing the tab removes the data from memory.
What file types does the viewer support?
Comma-separated (.csv) and tab-separated (.tsv) text files, plus pasted text using commas, tabs, or semicolons. The delimiter is detected automatically, so regional exports that use semicolons open correctly.
How large a file can I open?
The parser comfortably handles files with hundreds of thousands of rows, though very large files depend on your device's memory. For readability the table renders at most 500 rows at once, while sorting and filtering always operate on the full dataset.
Can I edit cells or save changes back to the file?
Not in this tool — it is a viewer, not an editor, which keeps it fast and safe for confidential data. You can, however, filter down to the rows you need and export them as JSON.
Why do my numbers keep their leading zeros here but not in Excel?
The viewer treats every cell as text and displays it exactly as written in the file, so ZIP codes, phone numbers, and IDs with leading zeros are shown untouched. Sorting still recognises numeric values when comparing rows.
What happens if my file has no header row?
Untick the header checkbox before parsing and the viewer numbers the fields sequentially instead of consuming your first data line as column names. Every row is then treated as data.