How many kinds of video does your company make? Count them.

Sales wants personalised outreach. Support wants explainers. HR wants onboarding. Marketing wants ads.

One system that serves all of them, with an avatar library, translation and an API, is a sensible way to buy that.

Translation is the standout. One recording becoming nine markets with matched lip movement is not something a cutting room can do.

Procurement usually settles it before anyone compares features. One vendor, one contract, one security review, one invoice.

If the requirement spans departments, buy the platform and stop there.

Here is what the render does not include. The file arrives as one person speaking cleanly for sixty seconds.

It still needs captions, coverage on the claims, a first line that interrupts and a pace that does not sag.

Cutroom is that second stage. Any talking-head take under three minutes goes in, including a presenter render.

Back comes a finished 9:16 MP4, captions burned in and coverage sitting on the words you marked.

Most of the feed is muted, so captions are not optional. A minute of one framing is where a viewer leaves.

That second stage is what people quietly do in another app afterwards, and it is where the hour goes.

Here it is one batch of 100 credits and eleven marks on the transcript.

So the two are more often sequential than competing, until you are only making ads.

The evidence is in your own folder. Count the renders that went live untouched against the ones that went into another app first.

If the second number is larger, the second app is the product this replaces.

Upload a talking-head take of up to three minutes. It comes back transcribed, drafted and captioned as a vertical MP4.

Highlight a phrase and a clip lands over exactly it. Swap the clip, or search millions of free ones.

Delete the line that sagged and the cut rebuilds around the gap. Change the pace and the whole piece re-cuts.

Emphasise the word your claim turns on so it pops in the captions. Fix a mis-heard word and the burned-in text follows.

Six caption packs cover the look. Five entrances cover how each clip arrives. Music sits under the read at a level you set.

There is no timeline, no keyframes and no layer stack. That is the entire reason the loop is four minutes.

Coverage is capped by pace: 40 percent on chill, 45 on normal, 52 on fast. The presenter is on screen for most of the ad.

Trim the opening or the ending, and write the headline that carries the first three seconds.

One talking-head take of up to three minutes goes in. One 9:16 MP4 comes out, captions burned in.

One language per take. There is no translation and no dubbing route of any kind.

There is no API and no way to put video generation inside another product.

There is no avatar library. The module animates a photo you already own and nothing else.

There is no approval flow, no shared workspace and no version history.

There is no timeline underneath, and nothing of yours is stamped on the finished file.

Those are the facts to plan around. The one number they do not touch is attempts, which is next.

Count the kinds of video your company ships this quarter. More than one means buy the platform.

One kind, twenty or thirty times, means the constraint is the finishing work rather than the presenter.

Winners run at 5 to 8 percent of creatives, per Motion's analysis of 550,000+ Meta ads. Attempts decide the account.

Six a month draws under one winner. Reaching thirty needs a second attempt costing minutes, not an afternoon.

Here that is 20 credits a finished minute from a take already batched, and about four minutes of attention.

One finished minute from a fresh take is about 120 credits. Seven days and 300 credits with no card covers two.

Send one presenter render through the batch and see what comes back before anything is committed.