Format comparison

CSV vs ODT

How do CSV and ODTcompare? Here's everything you need to know to choose the right format — and how to convert between them.

Comma-Separated Values

CSV is the simplest tabular data format — rows of values separated by commas. It's the universal exchange format for data between databases, spreadsheets, and programming languages.

Open Document Text

ODT is an open-standard document format used by LibreOffice, OpenOffice, and Google Docs. It's the free, vendor-neutral alternative to DOCX for word processing.

SpecificationCSVODT
Full nameComma-Separated ValuesOpen Document Text
Extension.csv.odt
MIME typetext/csvapplication/vnd.oasis.opendocument.text
CategoryDocumentDocument
DeveloperIBM (original concept)OASIS (Organization for the Advancement of Structured Information Standards)
Year introduced19722005

CSV advantages

  • Universal data exchange format
  • Human-readable plain text
  • Tiny file sizes
  • Supported by every data tool

CSV limitations

  • No formatting or styling
  • No data types — everything is text
  • Encoding and delimiter issues common
  • No support for multiple sheets or formulas

ODT advantages

  • Open standard — no vendor lock-in
  • Free to use with no licensing fees
  • Supported by LibreOffice, Google Docs, and more
  • Long-term archival format (ISO standard)

ODT limitations

  • Less common in business environments
  • Formatting differences with Microsoft Office
  • Fewer advanced features than DOCX
  • Limited template ecosystem

Which should you use?

CSV and ODT serve different purposes. CSV is ideal for data import and export, while ODT excels at government and public sector documents.

Best uses for CSV

Data import and export
Database migrations
API data exchange
Data science and analysis pipelines

Best uses for ODT

Government and public sector documents
Academic and educational use
Open-source workflows
Long-term document archival

Convert between CSV and ODT

Need to switch formats? Convert for free with SquishConvert.