CSV Viewer & Inspector: View and Inspect CSV Files
Use this CSV viewer to parse CSV text and inspect it in a scrollable, windowed table. Its RFC-4180 parser supports quoted fields, embedded newlines, BOM, and CRLF, while detecting the delimiter and showing row and column counts. Parse warnings flag issues such as stray quotes and ragged rows, and the grid is designed to stay responsive with 50,000+ rows.
CSV Viewer & Inspector is a browser-based CSV viewer for parsing CSV text and inspecting it as a table. Instead of reading a long block of comma-separated text, you can review the data in a scrollable, windowed grid. The tool shows the detected delimiter, row and column counts, and parse warnings, including warnings for stray quotes and ragged rows.
The viewer uses an RFC-4180 parser that supports quoted fields, embedded newlines, BOM, and CRLF. After parsing the input, it presents the records in a table and reports structural details that can help you understand what you are looking at. The windowed table is designed to stay responsive even with 50,000+ rows.
CSV is a text format commonly used to represent tabular data, with records arranged in rows and values separated by a delimiter. Because CSV content can include quoted fields and line breaks inside fields, raw text is not always easy to scan. Viewing it as a table helps developers check values and structure before using the data in code or copying an excerpt for further work.
CSV Viewer & Inspector runs entirely in your browser: your input is processed on your device and is not uploaded, stored, or sent to a server. It also works offline once the page has loaded, so you can keep inspecting CSV without a connection. The tool is useful for developers and DevOps engineers who need a quick way to examine unfamiliar input, check row and column structure, or review parse warnings.
Step 1: Paste or drop your CSV content into the tool to start parsing it.
Step 2: Review the parsed data in the scrollable, windowed table, which displays the CSV as rows and columns.
Step 3: Check the detected delimiter and the row and column counts to understand the structure of the input.
Step 4: Review any parse warnings, such as stray quotes or ragged rows, then copy the excerpt you need.
Use case: Inspect a CSV file you did not create and find its structure in a readable table instead of scanning raw text.
Use case: Check the shape and contents of CSV data before writing code that consumes it.
Use case: Copy a clean excerpt from a large CSV document without manually searching through the raw file.
Use case: Confirm which delimiter the viewer detected when examining CSV data with an unfamiliar layout.
Use case: Spot parse warnings for stray quotes or ragged rows before investigating an input file further.
Use case: Review CSV files with quoted fields, embedded newlines, BOM, or CRLF line endings in a table view.