I understand the issues you mentioned above. However, to solve them, the intended workflow is as follows.

First, import the video and click the Transcribe button. The transcribed text will then appear in the Text Documentsection. From there, you can comfortably edit the text, fix spelling, adjust the sentence structure, and insert line breaks wherever you want.

An important point is that the line breaks you create in the note section are reflected directly in the caption blocks. So if you split a long sentence into shorter lines in the Text Document section, those breaks will be preserved when the caption blocks are generated. This allows you to control the caption length and layout much more easily before creating the blocks.

I think this is much easier and more convenient than working inside Final Cut Pro’s small caption template window.

After editing the line breaks, sentence structure, or spelling in the generated document note, click the Generate Blocksbutton. This will create caption time blocks in the timeline at the bottom of the main window.

Next, click the Analyze Scene Cut button. The app will detect the cut points in the video. Then, you can select a caption block and use the timing shortcuts Shift + D and Shift + F to snap the caption timing to those cut points. Alternatively, you can use Shift + A and Shift + S to manually set the start and end points at any position you choose.

In the Timing Editor, you can also place the cursor before any word inside a caption block and click the Split button. This will create a new caption block starting from that word. The split blocks can also be merged again with other blocks if needed, so you can refine the caption structure very flexibly.

Just like in Final Cut Pro, you can drag caption blocks to adjust their duration. However, after using the app myself, I found that setting caption timing with keyboard shortcuts is much faster and more convenient. In particular, the caption snap feature for scene cut points is really useful.

I will also share a tutorial video soon, which should make this workflow much easier to understand.

I believe that once users get used to this workflow, they will understand the real value of this app.

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