Build a lightweight data workflow: CSV Cleaner & Editor, JSON Formatter & Validator, Quick Table Generator, Whitespace Cleaner, Character Info Checker, Confidence Interval Calculator.
What the CSV Viewer and Editor does
- Open and detect: Paste or drop a file and let the tool detect comma, semicolon, tab, or pipe separators.
- Grid editing: Double click to edit cells, add/remove rows and columns, and undo/redo changes.
- Filter and sort: Search across columns or add per-column filters. Click headers to sort ascending or descending.
- Clean and transform: Trim whitespace, deduplicate rows, split a column by character/regex, or merge columns with a custom joiner.
- Convert and export: Convert CSV to JSON or TSV and download or copy results to the clipboard.
- Quick math: Run SUM, AVG, MIN, MAX, and COUNT on numeric columns. Use inline charts to spot outliers.
- Private by design: Runs locally in your browser for speed and privacy.
Why clean CSV data matters
Messy CSV files slow down analysis. Spacing issues, mixed types, or duplicates can break imports. A focused CSV cleaner helps you spot issues instantly, apply repeatable rules, and export consistent datasets for analytics, CMS, or APIs. Clean inputs mean fewer bugs and smoother collaboration across teams.
Fast workflow in 6 steps
- Import: Open the CSV file viewer and paste or drop your file. Use Auto delimiter detection and confirm the first row as header.
- Filter and scan: Isolate rows with quick filter. Sort columns to reveal empty values or spikes.
- Clean: Run Trim whitespace and Deduplicate. If multiple values live in one field, use Split column.
- Transform: Merge columns, rename headers, and standardize date formats before export. Use the Unit Converter if numeric fields use inconsistent units.
- Validate: Apply quick formulas or charts to check ranges and outliers.
- Export: Copy/download as CSV, TSV, or JSON. For web apps, format JSON neatly with the JSON Formatter.
- Use snake or kebab case consistently:
product_id
,user_email
are easier to handle in code than mixed spacing. - Add units to numeric headers:
price_usd
,weight_kg
cut confusion later. - Add a primary key: Insert a column like
row_id
with unique values to help merges and imports.
Educational insights and tips
- Type drift is real: CSVs donβt store data types. Keep numbers unquoted where possible and avoid mixing digits with text.
- Dates are tricky: Prefer ISO
YYYY-MM-DD
. If givenMM/DD/YYYY
, convert before merging across regions. - Normalize categories: Map values like US, USA, United States into one standard form.
- Document transforms: Record split, merge, and dedupe rules. Repeatability ensures better data hygiene.
Helpful tools and integrations
- Tables for the web: Use the Quick Table Generator for HTML tables.
- Whitespace cleanup: Run the Whitespace Cleaner before pasting CSV into docs.
- Character checks: Inspect odd symbols with Symbol Info.
- Writing polish: Publish findings with clean copy using the Grammar Corrector and verify counts with the Word Counter.
- Developer utilities: Compare before/after exports in the Code Diff Checker to confirm only intended lines changed.
Try it now
Open the CSV Viewer & Editor, import a CSV, trim and deduplicate, split one column, and export to JSON. Then pretty print it with the JSON Formatter for APIs or CMS workflows.
FAQ
- Is the CSV Viewer and Editor free?
- Yes. Open, clean, and export CSV files without sign in.
- Is my data uploaded anywhere?
- No. Processing stays in your browser. Nothing is sent to servers.
- How big a file can I use?
- Handles a few hundred thousand cells smoothly. For very large files, filter first and disable browser animations.
- Can I convert CSV to JSON or TSV?
- Yes. Export as CSV, TSV, or JSON, or copy results directly.
- Can I split and merge columns?
- Yes. Use Split for breaking fields and Merge to combine with a custom joiner.
- Do you have more data tools?
- Yes. Try the Quick Table Generator, JSON Formatter, and Whitespace Cleaner.