Here’s a feature request draft based on your example:

Feature Request: Support for Copying Plain Text Tables into Nodes

It would be very helpful to have the ability to copy and paste plain text tables (e.g., Markdown-style tables) directly into the mind-mapping software, with the software automatically converting the table into a structured set of nodes. For example, rows in the table could become sibling nodes, and columns could populate as properties or nested nodes.

Example: I often work with tools like ChatGPT, which provide tables in plain text formats that resemble Markdown tables. Currently, if I want to recreate these tables in the mind-mapping software, I have to manually type out each node and structure it, which is time-consuming and frustrating. Allowing the software to recognize these plain text tables and convert them into nodes would significantly improve my workflow, especially when dealing with data-heavy projects or brainstorming sessions.

Proposed Implementation:

• When a user pastes a table formatted in Markdown or CSV style, the software could interpret the rows and columns, creating nodes that match the structure.
• Perhaps a toggle or paste option could allow users to choose how the data is structured (e.g., rows as sibling nodes or rows as properties of a parent node).

This feature would streamline the process of bringing structured data into the mind-mapping software, making it faster and more efficient for users like me who often work with tables.