Convert your CSV to JSON.
safe · secure · no server · works offline · fast
…or just start typing at the cursor.
safe · secure · no server · works offline · fast
…or just start typing at the cursor.
Drop a .csv file and OmniViewer converts it to a
JSON array of objects: the header becomes the keys and each
row becomes one object, so id,name over two rows turns into
[{"id":…,"name":…}, …]. The result is syntax-highlighted and
ready to copy or download as .json. It runs in a background Web
Worker with no upload and no server.
An array of objects is the shape most APIs and JavaScript code expect, so this is the quickest way to feed a spreadsheet export into a script or a request body. The same drop also shows the CSV as a table, queries it with SQL, reports per-column stats, and opens raw and hex views.
It’s one lens on OmniViewer’s CSV Viewer — Table, SQL & JSON, Locally: drop a file and every tab is one click away. OmniViewer opens every file format, entirely in your browser — no upload, no server.
No. OmniViewer is a static page with no server-side processing: your CSV is read directly by your browser and never leaves your computer.
CSV (comma-separated values) is a plain-text format for tabular data: one record per line, with fields separated by a delimiter — usually a comma, sometimes a tab or semicolon — and quoting for fields that contain the delimiter, a quote or a newline. It is loosely standardised by RFC 4180.
Effectively unlimited. OmniViewer only reads the bytes needed to paint the screen, so the raw and hex views open a 20 GB CSV as readily as a 2 KB one; the engine behind them has been tested in-browser with a 40 GB file.
Yes. OmniViewer shows a formatted, column-aligned table, converts the CSV to JSON, computes per-column statistics, and runs SQL against it with an in-browser SQLite engine (write SELECT … FROM data). The table, JSON and stats work on the first 32 MB of a very large file; the SQL engine streams the whole file. For the full file as a sortable, filterable table with column resizing and splitting across tens of gigabytes, use hugecsv.com (tested with a 21 GB, 100-million-row file).
The hex view shows the exact bytes, so you can see whether fields are separated by commas, tabs or semicolons, whether lines end in CRLF or LF, and whether there is a byte-order mark. OmniViewer detects text vs binary from the content, not the extension.
Same engine, same authors. OmniViewer is the universal front door for any file, with a CSV toolkit — table, SQL, JSON and stats — for everyday files. hugecsv.com is the specialised workbench for very large CSV files, with a WebAssembly parser, full-file sortable/filterable tables, column resizing and splitting across tens of gigabytes.