James Allman | JA Technology Solutions LLC
HTML Table Converter
Extract HTML <table> data and convert it to CSV, Excel, JSON, and 8 other formats.
HTML Table Converter
Paste an HTML fragment or full document containing a `<table>` element — or upload a `.html` / `.htm` file — and convert the first table found to CSV, TSV, pipe-delimited text, JSON, JSONL, Excel, YAML, XML, Markdown table, or SQL INSERT statements. Auto-detects the header row from `<thead>` or `<th>`, falls back to the first `<tr>` when no header tags are present. Tolerates extra whitespace, inline styling, nested formatting tags (`<b>`, `<i>`, `<span>`, `<a>` are stripped from cell text), HTML entities (`&`, ` `, numeric and hex character references), `<br>` to newlines within cells, and HTML comments. Heavy parsing and output generation run in a Web Worker so the UI stays responsive on large tables; you can cancel an in-progress conversion at any time. Runs entirely in your browser; pasted HTML and uploaded files never leave your machine.
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Where HTML Tables Come From
A surprising amount of structured data lives inside HTML tables on web pages and in documents that were never meant to be parsed by anything but a browser. Vendor portals, regulatory filings, government open-data pages, internal admin dashboards, exported Confluence pages, mass-distributed email reports with inline tables, and the “copy-paste from the web” output of countless legacy reporting tools all hand you HTML when what you actually need is CSV, Excel, or JSON. This tool pulls the first `<table>` out of whatever you paste or upload and gives you the rows in whichever shape the next step in your workflow wants.
What Gets Cleaned Up Along The Way
HTML tables in the wild come with extra noise: inline `<b>`, `<span>`, and `<a>` tags wrapping cell text, named and numeric character references ( , —), nested whitespace from human-readable source, comments inserted by the page author, `<br>` tags used as in-cell line breaks, and `<thead>` / `<tbody>` wrappers used inconsistently. The parser strips all of that down to clean cell text, decodes character references to their actual characters, and converts `<br>` to newlines so multi-line cells round-trip cleanly to CSV's quoted-field format or JSON strings.
When You Need an Automated Pipeline
This tool handles one-off conversions. For recurring extraction — daily pulls from a vendor portal, nightly scrapes of regulatory data, or page-watching for changed prices — the work belongs in a scheduled job with authentication, retry, change detection, and downstream delivery. I build scraping and ETL pipelines that handle login flows, paginated tables, dynamic JavaScript-rendered content, schema validation, and clean delivery to a database, warehouse, or downstream system. Need help? ETL and data pipelines · Integration services. Have a question? Ask James.
All tools run entirely in your browser. Your data never leaves your machine.