CSV Viewer and Formatter
Preview CSV as a table and reformat it cleanly.
- On your device
- No signup
AI & Writing
Utilnivo
Map columns between CSV schemas with explainable, privacy-first suggestions.
Browse more in AI & Writing or all tools.
Private on your device
Your information stays on your device and is not uploaded.
Preview CSV as a table and reformat it cleanly.
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Format, minify, and validate JSON with optional key sorting.
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Upload or paste source and target column schemas, inspect inferred types and patterns, review intelligent mapping suggestions with evidence, resolve conflicts, and export a verified mapping definition. Small CSV files are profiled in your browser—raw rows are not uploaded in local mode. Suggestions are not guaranteed; always review before transforming data.
1. Add a source CSV or paste source column names. 2. Add a target CSV, paste target columns, or define them manually. 3. Inspect inferred types and correct header or delimiter settings if needed. 4. Review suggested mappings, confirm or change them, and mark intentional no-matches. 5. Validate and export the mapping JSON or CSV.
Source Cust_ID, Cust_Name, Primary_Email maps to Customer Number, Customer Full Name, Email Address with high or medium confidence and readable evidence for each suggestion.
Upload or paste source and target schemas. The tool profiles CSV columns locally in a Web Worker, then suggests mappings using alias, lexical, datatype, pattern, and optional semantic signals. You review evidence, resolve conflicts, and export a verified mapping. Raw CSV rows stay in the browser in local mode.
Suggestions are assistive and require human review. Local mode supports CSV only (5 MB, 10k rows, 200 columns). Cloud Excel processing is feature-flagged and disabled by default. Do not rely on high confidence as certainty.
Your data stays on your device and is not uploaded.
FAQ
In local mode, raw CSV content stays in browser memory. Only privacy-safe column descriptors (names, types, pattern labels, ratios) are sent to the matching API for suggestions.
No. Every suggestion includes evidence and confidence, but you must review and confirm mappings before transforming critical data.
Yes. The matcher supports unmatched sources and unused targets. It does not force every column to map.
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