DataHub Tools CSV and Table Tools

DataHub Tools

CSV and Table Tools

Table data often moves between spreadsheets, documentation, databases, and web pages. This hub groups the tools that help clean, reshape, and publish rows without sending routine data to a server.

Related tools

CSV to JSON Convert CSV rows into clean JSON arrays in your browser. CSVJSON JSON to CSV Convert JSON arrays into downloadable CSV files. JSONCSV CSV to Markdown Convert CSV or TSV data into a GitHub-style Markdown table. CSVMarkdown Markdown to CSV Convert Markdown tables into CSV rows for spreadsheets. MarkdownCSV CSV to HTML Table Convert CSV or TSV rows into clean HTML table markup. CSVHTML table HTML Table to CSV Extract HTML table rows and convert them into CSV. HTML tableCSV CSV to YAML Convert CSV rows into readable YAML arrays locally. CSVYAML YAML to CSV Convert YAML arrays or objects into CSV rows in your browser. YAMLCSV CSV to SQL INSERT Convert CSV rows into SQL INSERT statements with escaped values. Markdown Table Generator Create Markdown tables from CSV, TSV, or pasted rows. CSVTSVMarkdown Excel to CSV Convert XLSX spreadsheets to CSV locally in your browser. ExcelCSV Excel to JSON Convert the first XLSX worksheet into formatted JSON arrays locally. ExcelJSON Excel to Markdown Convert XLSX worksheets into GitHub-style Markdown tables. ExcelMarkdown Excel to HTML Table Convert XLSX worksheets into clean HTML table markup. ExcelHTML table CSV to LaTeX Table Convert CSV or TSV rows into LaTeX tabular markup for papers and notes. CSVLaTeX Markdown Table to LaTeX Convert Markdown pipe tables into LaTeX tabular markup. MarkdownLaTeX

Recommended workflows

Spreadsheet to documentation

  1. Export or paste CSV rows
  2. Convert to Markdown or HTML table
  3. Review alignment and escaped characters before publishing

Spreadsheet to app data

  1. Convert CSV or Excel to JSON
  2. Check headers and nested output
  3. Use the JSON in scripts, fixtures, or API tests

Small seed dataset

  1. Clean CSV headers
  2. Generate SQL INSERT statements
  3. Review string escaping and table name before running SQL

Which tool should you choose?

Tool Best for When to use it
CSV to JSON Developer handoff Use when rows become objects for scripts or APIs
CSV to Markdown README and docs Use for GitHub-style documentation tables
Excel to CSV Workbook export Use when the source file is .xlsx
CSV to SQL INSERT Small seed data Use for demos and lightweight database setup

Move rows between spreadsheet and developer formats

CSV to JSON, JSON to CSV, Excel to CSV, and Excel to JSON cover the most common handoff between analysts and developers.

Publish tables into docs and pages

CSV to Markdown, Markdown Table Generator, CSV to HTML Table, and LaTeX table tools help turn raw rows into readable publishing formats.

Prepare seed data and imports

CSV to SQL INSERT and table-to-SQL utilities are useful for small seed datasets, demos, and quick database setup.

Common mistakes

  • Keeping duplicate or blank header names before conversion.
  • Importing generated SQL without reviewing quotes and table names.
  • Expecting malformed CSV with broken quotes to convert perfectly.

FAQ

What table format should I start with?

CSV is usually the safest exchange format. Use Excel tools when the source file is an .xlsx workbook.

Can these tools parse messy CSV?

They support common CSV and TSV inputs, but malformed quotes or inconsistent columns should be cleaned before production import.

Are files uploaded?

Excel and text-table conversions are designed to run in the browser for normal use.

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