Video · Lesson 3.4
A Week to Working Auto Captions AI: An Illustrative Plan
This is a worked example, not a case study. No real business, number or test is reported here. Instead, picture a made up bakery and walk through a realistic week of getting auto captions AI working, day by day, so you can copy the plan with your own videos and record your own numbers.
The bakery is called Corner Loaf, run by one owner who posts short videos of bread, pastries and behind the scenes prep. Everything about Corner Loaf below is invented to show the shape of the work.
Lesson 3.4 teaches the same path with screens to follow: Captions in your style, automatically.
You can get a captioning routine working in a week if you decide the style on day two, build the word list on day three and only measure from day five.
The starting point
Corner Loaf posts a few short videos a week. Captions are inconsistent: some videos have them, some do not, and when they do, the look is different each time. The owner wants one saved style, a short list of tricky words and a routine that takes little time.
Notice what is missing from that goal: a claim that captions will raise sales or views. They might help people follow along and watch without sound, but that is something to test, not assume.
Day by day
- Day 1: AuditLook at the last five videos. Note which have captions, how they look and which words were wrong. This is your baseline.
- Day 2: Pick the styleChoose font, size, colour and position. Save it as the default. Make one test video and view it on a phone.
- Day 3: Build the word listWrite down the shop name, product names (for example sourdough, focaccia, croissant), staff names, and prices said aloud.
- Day 4: Run the first real videoGenerate captions, fix against the list, read on mute, publish. Time every step.
- Day 5: Run two moreRepeat, and note how many corrections each took. Add new words to the list.
- Day 6: BatchRecord or collect the next week of clips, generate all drafts, fix them together, export together.
- Day 7: ReviewCompare against Day 1. What was quicker, what still went wrong, what to change.
What the owner would have found on each day
These are the kinds of things that usually come up, not reported outcomes.
- Day 1: captions sit in different places, and some cover the loaf in the shot.
- Day 3: food names are a likely weak spot, and a general speech tool may not know them. Check anything unusual.
- Day 4: numbers need a close read. The W3C gives a warning example where "4 to 5 minutes" became "45 minutes" and "should not preheat" became "should know to preheat". Baking times are exactly the kind of detail that can go wrong.
- Day 6: the batch step is where the word list pays off, as the same terms recur.
What to measure
Choose numbers you can collect without special software, and write them in a simple table. Here is a blank one you can copy.
| Measure | Day 1 baseline | Day 7 |
|---|---|---|
| Videos with captions out of last five | fill in | fill in |
| Minutes per video from draft to export | fill in | fill in |
| Corrections per video | fill in | fill in |
| Wrong names caught after publishing | fill in | fill in |
Four columns of your own data tell you more than any number from a stranger. If minutes and corrections fall over the week, the routine is working. If they do not, look at audio first.
What could fail
Be ready for these, because they are common causes, not rare ones:
- No captions generated. YouTube lists a long silence at the start, overlapping speakers, poor sound and multiple languages at once as possible reasons.
- A language problem. Automatic captions on YouTube cover a set list of languages, so check yours is supported.
- Style not saved. If your tool does not store a default, keep a written note of your settings.
- Over trusting the draft. The W3C and YouTube both say to review.
What the plan does not prove
A week of practice shows whether the routine fits your day. It does not show whether captions change your audience's behaviour. To learn that, you would need to compare videos with and without captions over a longer period and keep other things the same. Even then, many things change from video to video, so be careful about the conclusion you draw.
Adjusting for your business
Swap the bakery for your own business and the plan still fits. A plumber would list trade terms and local place names. A coach would list programme names and client first names, with permission. A florist would list flower varieties.
Questions people ask
Is this a real case study?
No. Corner Loaf is invented, and nothing here is a reported result. The plan is a template for your own week.
Can I do this faster than seven days?
Possibly. The steps are short, and the week is mainly to give you a few real videos to learn from.
What if I only post once a week?
Stretch the plan, but keep the order: style, word list, first video, then batch.
Keeping the habit after week one
The first week is about building the routine. The weeks after are about keeping it light. Keep the word list and the style note in one place, add to them after each video and resist the urge to redesign. Repeat the Day 7 comparison once a month, using the same four measures, and write one sentence about what changed.
If you skip a week, do not start over. Open the notes, run the next video through the same steps and carry on. A routine that survives a busy fortnight is worth more than a perfect one that only works when you have time.
Where to go next
Run Day 1 today and fill in your baseline. The full routine is taught in Lesson 3.4 walks you through it step by step: Captions in your style, automatically. If you want to compare methods before you commit, see auto captions AI vs the manual way.