How to Auto-Caption a Video and Fix the Errors Fast

Auto-captioning turns speech into on-screen text in seconds, which makes clips watchable without sound and easier to follow. The catch is that names, jargon, and numbers get mis-heard. This guide generates captions and walks the quick review pass that catches the misses.

What you need

• A short video with clear speech
• Any editor or tool with auto-caption
• About 8 minutes for a one-minute clip

Step 1: Generate the captions

Run the auto-caption feature on your timeline. Pick the spoken language explicitly rather than letting it auto-detect, which avoids whole-track mistakes.

Step 2: Scan for the usual misses

Read the caption track once and watch for the categories models get wrong. Fixing these four covers most errors.

• Proper names and brand spellings
• Numbers, prices, and dates
• Technical jargon and acronyms
• Homophones the model picked wrong

Step 3: Edit the cue text

Correct the text directly in each cue. Keep cues short so they read in time. If a line is too long to read before it cuts, split it into two cues.

2
00:00:04,200 --> 00:00:06,000
We shipped Stackroll v2 today

3
00:00:06,000 --> 00:00:07,800
with a faster search index

Result: accurate captions in a fraction of manual transcription time, with a review pass focused only on the words machines reliably miss.