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: Add timing only when the pipeline supports it

This is where many products over-promise. If your transcription step does not return reliable timestamps, subtitle export becomes guesswork.

Audio Chat currently exposes TXT export first because that part is honest. Subtitle timing belongs in a later pipeline that actually supports it.

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

Trying to pretend all five layers are solved by a single button usually creates weak output.