TSV, CSV & Delimiter Normalizer
Convert between Comma (CSV), Tab (TSV), Semicolon (European Excel), and Pipe (PSV) delimiters with auto-detection, RFC 4180 quote preservation, and zero data corruption.
Convert between Comma (CSV), Tab (TSV), Semicolon (European Excel), and Pipe (PSV) delimiters with auto-detection, RFC 4180 quote preservation, and zero data corruption.
Bidirectional conversion between RFC 4180 CSV tables and JSON object arrays. Features automatic number/boolean type inference, dot-notation nested properties, and formatted output.
Convert CSV spreadsheets and tabular files into optimized, syntactically escaped SQL INSERT statements for PostgreSQL, MySQL, SQLite, and BigQuery with type inference and batch chunking.
Identify and purge duplicate rows across whole records or custom composite key columns with whitespace normalization, case-sensitivity toggles, and detailed audit statistics.
Reconcile two CSV spreadsheets side-by-side by primary key identifier. Pinpoint added, deleted, and modified rows with cell-level highlights and exportable delta audit reports.
Instantly inspect and audit CSV and Excel datasets in browser memory. Computes null percentages, distinct value cardinality, numeric min/max/mean/median, and inferred SQL types.
Sanitize and mask sensitive personally identifiable information (PII), names, emails, phone numbers, and IDs in CSV datasets locally in RAM before sharing with AI models or third parties.
Seamlessly switch between Comma, Tab, Semicolon, and Pipe delimiters while preserving quoted strings, escape sequences, and multiline cells.
In standard US and UK formatting, commas separate columns and periods represent decimals (e.g., '1,250.50'). In continental Europe and Latin America, commas represent decimal points ('1.250,50'), forcing software like Microsoft Excel to require semicolon (;) delimiters instead of commas.
Opening a comma-delimited file on European systems often causes all data to pile into a single column. VedKit's Delimiter Normalizer effortlessly translates files between regional standards:
When converting a CSV containing embedded commas (e.g., 'Smith, John') into a semicolon-delimited file, naive search-and-replace corrupts the data. VedKit uses a lexical tokenizer that tracks quotes, ensuring delimiter changes only affect true column boundaries.
How TSV, CSV & Delimiter Normalizer processes files securely inside your device memory
Every byte of your file is loaded directly into browser ArrayBuffers. Data is processed in volatile sandbox memory and flushed immediately when you close or refresh this tab.
Calculations and image matrix transformations leverage client-side GPU / Canvas2D engines for zero-latency output without server queuing or rate limits.
Generated files strictly follow international ISO specifications (JPEG JFIF, PDF 1.7, Web Crypto API) to guarantee acceptance on all official portals and banking systems.
Quick 3-step guide for instant results
Load your CSV, TSV, or custom delimited text into the browser workspace.
Choose your current delimiter (or use Auto-Detect) and your desired target delimiter (Comma, Tab, Semicolon, Pipe, or Custom).
Inspect the transformed output preview and download the converted file with correct extension (.csv, .tsv, .txt).
Common questions and verified answers about TSV, CSV & Delimiter Normalizer