TagUI is a command-line tool for digital process automation (RPA).

Write flows (scripts) in simple TagUI language and automate your web, mouse and keyboard interactions on the desktop.

TagUI is free to use and open-source. It's easy to setup and use and works on Windows, macOS and Linux.

In TagUI language, you use steps like click and type and interact with identifiers, which includes images, screen coordinates, or even text using OCR:

https://www.typeform.com

click login
type username as [email protected]
type password as 12345678
click btnlogin

download https://admin.typeform.com/xxx to report.csv

You can run TagUI live mode directly for faster development by running tagui live on the command line.

TagUI can now click on the screen with visual automation just using text input, using OCR.

click v6 Features using ocr

You can now create a shortcut for a flow, which can be moved to your desktop and double-clicked to run the flow. The flow will be run with all the options used when creating the shortcut.

$ tagui my_flow.tag -deploy
OR
$ tagui my_flow.tag -d

You can now do tagui my_flow.tag -h instead of tagui my_flow.tag -headless. This applies to all run options.

All flow files must have a .tag extension.

When running a flow with options, prepend a - to the options.

Before v6:

$ tagui my_flow.tag headless

v6:

$ tagui my_flow.tag -headless
OR
$ tagui my_flow.tag -h

The echo, dump and write steps are now consistent with the other steps. They no longer require quotes surrounding the string input. Variables need to be surrounded by backticks.

Before v6:

echo 'This works!' some_text_variable

v6:

echo This works! `some_text_variable`

This increases readability and ease of use. Just indent your code within the if and loop code blocks (similar to in Python).

Before v6:

if some_condition
{
  do_some_step_A
  do_some_step_B
}

v6:

if some_condition
  do_some_step_A
  do_some_step_B

This project is supported by the National Research Foundation, Singapore under its AI Singapore Programme (AISG-RP-2019-050). Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not reflect the views of National Research Foundation, Singapore.