Conversion Guide Hub
Excel Conversion: Every Format Covered
Convert Excel to CSV, JSON, XML, PDF, HTML, SQL, TSV, or Markdown — or the other way around. Every conversion method explained, with free browser tools for each.
Best for
Import into databases, CRM systems, marketing tools, and any app that accepts tabular data.
Watch out for
Leading zeros (ZIP codes, IDs) are dropped. Dates may reformat. Only one sheet per CSV file.
Best for
Open CSV exports from databases, payment systems, analytics tools, and data pipelines.
Watch out for
Double-clicking a CSV strips leading zeros and reformats dates. Always use Data → From Text/CSV instead.
Best for
Feed data into APIs, web applications, and JavaScript front-ends. First row becomes object keys.
Watch out for
Merged cells and complex formatting are flattened. JSON is for data — not presentation.
Best for
Data imports into ERPs (SAP, Oracle), CMS platforms, and legacy systems that require XML.
Watch out for
Column headers must be valid XML tag names — no spaces or special characters.
Best for
Read-only sharing — the layout is preserved exactly regardless of the recipient's software or settings.
Watch out for
PDFs cannot be edited back into spreadsheets without OCR. Page breaks and print area settings affect output.
Best for
Embed a table on a website or in an email. Preserves basic formatting in most HTML renderers.
Watch out for
Complex formatting (merged cells, charts) does not transfer cleanly to HTML.
Best for
Generate INSERT statements for loading spreadsheet data into a relational database.
Watch out for
Data types must match the target table schema. Text fields with quotes need proper escaping.
Best for
Include tables in documentation, README files, wikis, and Markdown-based content systems.
Watch out for
Markdown tables must be simple — no merged cells, no colours, no formulas.
Which File Format Should You Use?
Choose based on what the recipient needs to do with the file.
.xlsxDefault Excel format — use for all standard workbooks with formulas and formatting.
.xlsbBinary format — 25–75% smaller than .xlsx, loads faster. Good for large internal files.
.xlsmExcel with macros — required when the workbook contains VBA code.
.csvPlain text, universal compatibility — use for data imports and cross-system exchange.
.jsonStructured data for web apps and APIs — use when the receiver is a developer or an application.
.pdfRead-only sharing — use when the recipient should see but not edit the spreadsheet.
.xmlLegacy system imports — use only when the destination system requires XML.
CSV Guides
Convert Excel to CSV — 4 Methods
Save As, Python, and a free tool — with encoding and date format options.
Read guide →
Convert CSV to Excel — The Right Way
Why double-clicking goes wrong and how to import correctly with the wizard.
Read guide →
CSV Delimiter Guide: Comma vs Semicolon vs Tab
Why semicolons appear instead of commas and how to control the delimiter.
Read guide →
Keep Leading Zeros in CSV Files
ZIP codes, IDs, and account numbers — preventing Excel from stripping zeros.
Read guide →
All Free Conversion Tools
All tools run entirely in your browser — files never leave your device.
Frequently Asked Questions
What is the best way to convert Excel to CSV?
For a quick single-sheet export: File → Save As → CSV (Comma Delimited). For multi-sheet files or bulk conversion: use the free ExcelErrorFinder Excel to CSV tool, which converts all sheets and handles encoding correctly.
Why does Excel change my CSV data when I open it?
Excel applies auto-format rules when opening CSV files directly — converting leading-zero numbers to integers, reformatting dates, and sometimes misreading delimiters. Fix: import using Data → From Text/CSV instead of double-clicking. You can then specify each column's data type and prevent auto-formatting.
What file format should I use to share Excel files?
For other Excel users: .xlsx or .xlsb (smaller). For read-only sharing: .pdf. For data import into databases or web apps: .csv for flat data, .json for structured data. For cross-application compatibility: .csv is supported by virtually every application that handles tabular data.