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Crop&Fit

Inessa NarkevichInessa Narkevich

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Use cases

About

The Crop&Fit mind map template is a technical documentation framework used by product managers, QA engineers, and video editor developers to map out image and video processing logic. This 90-node cheat sheet covers the functional requirements for media scaling, including the 'Fit' and 'Fill' logic, padding color behaviors, and server-side validation parameters. It serves as a comprehensive guide for ensuring that media assets maintain correct aspect ratios across different layouts like 'PRT layouts' and 'SQR layouts'. By utilizing this Xmind template, teams can track complex state changes such as 'Clean/Dirty states' and 'BI events' to ensure a seamless user experience during the media editing process.

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Terms and Conditions

When to use this template

Product Managers and System Architects

Defining functional requirements for a new video or image editing software feature

QA Engineers and Manual Testers

Creating a test plan to verify media scaling and padding behavior across different device orientations

Backend Developers and Full-stack Engineers

Mapping out API parameters for media transformation and server-side rendering

How to use this template

Step 1

Import the technical map

Open the .xmind file in Xmind to view the full hierarchy of media processing events and scaling logic.

Step 2

Customize scaling parameters

Modify the 'Scaling' branch to match your specific application's minimum and maximum zoom values or input field behaviors.

Step 3

Align with brand assets

Update the 'Color fills the padding' nodes to reflect your specific brand kit integration and secondary color selection rules.

Frequently asked questions

In this template, 'Fill' indicates the source media covers the entire layout box without padding, while 'Fit' ensures the whole image or video is visible within the layout rectangle, often resulting in padding.

The template specifies that padding colors should default to the secondary color of the existing color palette or the user's 'Brand Kit' when adding additional footage or creating new videos.

Yes, it is ideal for QA. It includes specific nodes for 'Undo/Redo' regression testing, 'Snap to Grid' guidelines, and 'Clean/Dirty states' to verify that changes are saved or reset correctly.

The map tracks 'Server Params' such as 'is_manual_crop' booleans and 'source_footage_rect' to ensure the final rendered video matches the user's scaling and positioning in the editor.

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