Why convert DAT to XML?
The .dat extension is a generic catch-all with no fixed structure. .xml is a portable, self-describing format that databases, APIs, and business tools can import. When a .dat holds structured data such as lab exports, GPS records, or config files, converting it to XML makes that data accessible to systems that do not know the original .dat layout.
How to convert DAT to XML
Python OPEN-SOURCE
For text-delimited .dat files: use the csv and xml.etree.ElementTree standard library modules to read each row and write XML records; works on Windows, macOS, and Linux with no extra packages.
About these formats
.DAT
Program Data File (generic)
A DAT file holds generic data created by a specific program, and the extension alone won't tell you which one or what's inside. Open a copy in a text editor first: readable text means it's…
Open .DAT details →
.XML
Extensible Markup Language Document
An XML file is a plain-text document that stores structured data in nested, custom tags. Because it is just text, any text editor opens it - drag it into a browser tab for a quick,…
Open .XML details →Quality & what to watch
- Open the .dat in a text editor before scripting - binary content cannot be converted this way; the Python approach only works for structured readable text.
- Confirm the delimiter (comma, tab, semicolon, pipe) in the text editor before setting it in the script.
- There is no ready-made GUI converter for generic DAT to XML; the Python script is the practical tool for text-based files, and the originating application is the only option for binary files.
Frequently asked questions
Do I need to install anything to use the Python script?
csv and xml.etree modules are part of the standard library and need no separate installation.What if my .dat has no header row?
csv.reader instead of csv.DictReader in the script and supply field names manually to generate meaningful XML element names.
