A Practical Workflow for Turning Video into Subtitles

People often say they want subtitles when what they really want is a faster way to get words out of a recording.

That distinction matters.

Step 1: Start with transcript text

The transcript is your raw language layer. It lets you:

• review what was actually said
• fix names and terminology
• remove obvious recognition errors
• break long text into readable phrases

Without this step, subtitle editing becomes slower and messier.

Step 2: Clean for readability, not verbatim purity

Subtitles rarely benefit from perfect verbatim output. They benefit from readable chunks.

That usually means:

• trimming filler words
• splitting run-on sentences
• removing repeated false starts
• shortening dense phrases

Step 3: Confirm timing support before subtitle export

Reliable subtitle files need segment-level timing in addition to transcript text. If your source only contains plain text, add and review timing in a subtitle editor.

Wave2Text exports TXT transcripts and does not currently export SRT or VTT subtitle files.

Step 4: Decide the subtitle standard you need

There is a big difference between:

• internal review captions
• social media captions
• platform-ready subtitle files
• broadcast-grade subtitles

Do not build for the heaviest case if you only need the lighter one.

A better mental model

Think of subtitle work as a stack:

1. speech to text
2. text cleanup
3. timing
4. formatting
5. final QA

Treating each layer separately makes the final subtitles easier to review and correct.