James Allman | JA Technology Solutions LLC
CSV & Delimited Text Converter — CSV, TSV, Pipe, Excel
Convert CSV, TSV, pipe-delimited, custom-delimiter text, and Excel files into CSV, TSV, pipe, JSON, JSONL, Excel, YAML, XML, Markdown table, HTML table, or SQL INSERT statements.
CSV & Delimited Text Converter — CSV, TSV, Pipe, Excel
Accepts CSV, TSV, pipe-delimited, custom-delimiter text, and Excel (.xlsx / .xls). Custom-delimiter input takes a single character or a backslash escape — `\t` for tab, `\xFE` for a hex byte, `\u{HHHH}` for a Unicode codepoint — so files using non-standard separators parse cleanly. Encoding override (UTF-8, Latin-1, Windows-1252, UTF-16 LE/BE) handles files where auto-detection guesses wrong, and the header-row offset skips preamble lines before the actual column headers. Force Text mode preserves leading zeros in ZIP codes, UPCs, and account numbers. Outputs to 11 formats: CSV, TSV, pipe-delimited text, JSON, JSONL, Excel (.xlsx), YAML, XML, Markdown table, HTML table, and SQL INSERT statements. Heavy parsing and output generation run in a Web Worker so the UI stays responsive on multi-MB files; you can cancel an in-progress conversion at any time. For other source formats — JSON, XML, YAML, Markdown, HTML — each has its own dedicated converter with format-specific UX. Runs entirely in your browser; your files never leave your machine.
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Why Delimited-Text Conversion Gets Complicated
Reading a CSV sounds trivial until the edge cases show up. Files may use commas, tabs, pipes, semicolons, or non-standard byte separators like 0xFE — and some mix them. Fields containing the delimiter itself must be quoted, but not all producers quote correctly. Excel silently converts ZIP codes like 07024 to the number 7024, strips leading zeros from UPC codes, and reformats dates based on locale. Multi-sheet workbooks need sheet selection. BOM (Byte Order Mark) characters cause invisible parsing failures. Encoding mismatches turn accented names into garbled text. This tool handles all of these cases with auto-detection, manual overrides for encoding and delimiter, and a Force Text mode that preserves data exactly as it appears.
Common Conversion Pitfalls
The most dangerous conversion errors are the ones that look right but are not. A CSV opened in Excel and re-saved may lose leading zeros on account numbers, truncate long numeric IDs to scientific notation, or reformat dates from 2026-04-09 to 4/9/2026 depending on your system locale. Embedded newlines in quoted fields cause row misalignment in parsers that do not handle RFC 4180 correctly. Character encoding mismatches turn accented names into garbled text. This tool detects and handles these issues automatically, but awareness of them is essential for anyone working with data regularly.
When You Need an Automated Pipeline
This tool handles one-off conversions. For recurring data flows — daily vendor feeds, nightly ERP exports, weekly report distributions — a manual process invites errors and delays. I build automated ETL pipelines that ingest files in any format, apply validation and transformation rules, handle encoding and delimiter issues programmatically, and deliver clean output to downstream systems on a schedule. Learn about ETL and data pipeline development, explore integration services, or get in touch to discuss automating your data conversion workflows.
All tools run entirely in your browser. Your data never leaves your machine.