Comparison guide
AI Captions vs Human Captions
accuracy is only half the problem
Auto-captioning is 92 to 97 percent accurate on clean audio, which sounds close to solved until you count what that means: a visible error every two or three sentences, usually on the product names and jargon that matter most. Accuracy is the easy half. Styling, timing and emphasis are what actually move retention.
Last updated · Reviewed by the Media Strategy Lab edit team
Benchmark data from our 1.2B+ view dataset
Aggregated from short-form campaigns produced by Media Strategy Lab in 2025-2026.
42% with styled captions
median hook retention
19%
3-sec drop-off
27s
avg. watch time
captioned problem-statement
best hook type
2.5 cuts per 10s
cut density
Format and pacing profile
dominant format
Vertical with burned-in kinetic captions
shot length
2-4 seconds
B-roll ratio
40:60 B-roll to face
pacing note
Caption chunks of 3-5 words, one idea per card, keyword emphasised.
Clean dialogue with a music bed ducking -20 LUFS under voice.
Technical specifications
| Auto-caption accuracy, clean audio | 92–97% |
|---|---|
| Auto-caption accuracy, jargon/accents | 78–90% |
| Human review pass | 99%+ |
| Styling control | Auto: minimal · Human: full |
| Caption chunk size | 3–5 words |
| Safe zone | Avoid bottom 250px |
| Accessibility (WCAG) | Requires accurate captions + SRT |
| Time to review a 60s short | 6–10 minutes |
Buyer context and objections
who buys
Social manager or accessibility-conscious brand lead
typical budget
Included in retainer; $15–$35 standalone per video
common objection
The platform captions are free and mostly right
failed prior attempt
Auto-captions that misspelled the product name in every video for a month
Our 5-step process
01
Brief and audit — we review your goals, past performance and raw material before touching a timeline.
02
Hook extraction — every asset is scanned for the highest-retention 1-3 second opener.
03
Native edit — pacing, captions, safe zones and sound are tuned to the destination platform.
04
Revision rounds — two included rounds with timestamped comments, no ticket queue.
05
Delivery pack — masters, verticals, captions, thumbnails and a posting brief in one drop.
Case example
A health tech brand ran auto-captions for eight weeks. Their product name was transcribed three different wrong ways and appeared in 34 published videos. Beyond the brand damage, keyword-emphasised styled captions in the following period lifted average watch time by 19 percent on otherwise identical edits.
Pricing anchor
Our monthly retainers start at $2,495/mo for 15 shorts and scale to $3,995/mo for 30 shorts plus long-form support. Every retainer includes research, scripting, editing, uploading, captions, weekday support and monthly reporting.
Styling is the retention lever
Three to five word chunks, one idea per card, the operative keyword emphasised in colour or weight, positioned above the platform UI. That pattern consistently outperforms full-sentence auto-captions in our own A/B tests, typically by 15 to 20 percent on average watch time.
It works because captions pace the viewer's reading rhythm. Full sentences dumped on screen invite skimming; short emphasised chunks pull the eye forward.
Accessibility is a separate requirement
Burned-in captions serve sound-off viewing but do not satisfy screen readers or caption toggling. For accessibility compliance you also need an accurate SRT or VTT track, speaker identification on multi-speaker content, and non-speech audio cues where relevant.
We deliver both: styled burned-in captions for retention, and a clean caption file for accessibility and platform indexing.
Video editing cost calculator
Interactive, no email required. Numbers come from our own production data.
Agency retainer (est.)
$2,865/mo
Fixed scope, two revision rounds, managed pipeline.
Freelance equivalent
$2,105/mo
Excludes your time for briefing, QA and chasing revisions.
In-house editor (loaded cost)
$5,400/mo
Salary, payroll tax, software, hardware amortisation.
Frequently asked questions
Are platform auto-captions good enough?
For internal or low-stakes content, usually. For brand content, no — 92 to 97 percent accuracy means a visible error every few sentences, and the errors cluster on product names and industry terms. Those are precisely the words viewers screenshot.
Do styled captions improve retention?
In our A/B tests, yes — typically 15 to 20 percent higher average watch time versus plain auto-captions on the same edit. The gain comes from chunking and keyword emphasis pacing the viewer's reading, not from the captions simply being present.
Should captions be burned in or uploaded as a file?
Both. Burned-in captions guarantee identical rendering across placements and survive re-uploads. A separate SRT or VTT file serves accessibility tools and helps platform indexing. Delivering only one leaves either accessibility or consistency on the table.
Where should captions sit on the frame?
In the centre-vertical safe zone, clear of the top 250 and bottom 250 pixels where platform UI, usernames and CTA buttons appear. Testing on a real device beats trusting your editing timeline preview, which does not show platform chrome.
How long does human caption review take?
Six to ten minutes for a 60-second short, covering accuracy, chunking, timing and emphasis. That is the cheapest quality improvement available on short-form and it is included in every edit we deliver.
Do captions matter if viewers have sound on?
Yes. Even with sound on, captions raise comprehension of names, numbers and technical terms, and they hold attention during pauses. They also make the video usable in the majority of feed contexts where audio starts muted.
Get a sample edit for AI Captions vs Human Captions
Send us your raw footage and a brief. We'll deliver a polished sample edit so you can judge the quality, pacing and fit before committing to a retainer.
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