Quick view · Loam-backed analysis
Free CSV File Viewer Online
Inspect a CSV up to 50 MB in the quick viewer, or analyze CSV and Parquet files up to 5 GiB with Loam-backed SQL.
Analyze with SQL
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See the whole table
Virtualized rows keep large CSV tables practical to explore.
Understand each column
Inspect inferred types, empty cells, unique values, and examples.
Export what you see
Filters and sorting carry into a spreadsheet-safe CSV download.
How it works
A table, not a wall of text
CSV stores a table as plain text: each record is a line and each field is separated by a delimiter. Quoted fields can contain commas, quotes, and line breaks, which makes raw files difficult to inspect safely in a text editor.
This viewer detects common CSV delimiters, keeps quoted content together, gives ambiguous headers stable labels, and pads uneven rows into a consistent table. Your source header text is retained when you export the active view.
Plain answers
CSV viewer questions
How do I open a CSV file?+
Drop or choose a .csv file up to 50 MB, paste CSV text, or open the sample. The quick viewer parses the content and shows it as a table.
How do I work with a larger file?+
Use Analyze with SQL for CSV and Parquet files up to 5 GiB. It uploads selected files to a private leased Loam Namespace so you can query one file or join several files with SELECT SQL.
What is the CSV file-size limit?+
The quick viewer accepts selected or pasted CSV input up to 50 MB. Loam-backed SQL analysis accepts CSV and Parquet files up to 5 GiB.
Can I sort and filter CSV rows?+
Yes. Filter any column, then select a column heading to sort ascending or descending. The row counter shows how many rows remain in the active view.
Can I download filtered CSV data?+
Yes. Export active view downloads the visible filtered and sorted rows as a new CSV. Formula-like values are kept as text for safer spreadsheet opening.
Can I merge files or convert CSV here?+
Yes. Dedicated tools merge CSV files or convert CSV to JSON, TSV, Excel, and Parquet. Analyze with SQL can add multiple CSV or Parquet tables and join them with SELECT SQL.