Comparison
Cutroom vs MakeUGC: who reads it, or what survives the cut
MakeUGC answers which script works. It generates many reads without a shoot day. Cutroom starts where that finishes, from a take you filmed, and turns it into a finished ad. This page covers what a proven sentence is worth, what a cut adds to it, and what each route costs in credits. By the end you will know which half of the job you are buying.
- credits per avatar minute
- 320
- credits per voice-over minute
- 70
- credits per batch, paid once
- 100
Fifteen hooks tested by Monday lunchtime beats a shoot day, and MakeUGC does that
Answering which hook works without burning a shoot day is the service. Write fifteen openings, generate fifteen reads, put them in front of a real audience by the afternoon.
The data says which angle has legs. That is the cheapest route to learning something true about your market. Filming is an expensive way to ask the same question.
It removes scheduling entirely. No creator brief. No waiting on delivery. No second round because line four came out flat and the creator has already moved on.
It is also the right call when you cannot appear on camera and still need a person on screen. That constraint is more common than the internet admits, and it is not cowardice.
For a hook test the presenter barely matters. Nobody is being asked to trust anyone yet. You are asking one question. Does this opening sentence hold a stranger for two seconds.
The moment the answer is yes, the job changes shape. That is where Cutroom starts.
A proven sentence and a flat uncut take are two different objects
Say the test worked and hook seven wins. You hold a proven sentence. What you do not hold is a finished ad. That is a different object entirely.
The right pace. The right footage over the right phrases. Captions that survive a muted feed on a bright pavement. A middle that does not sag, and an ending that asks for something.
A generated read arrives as a flat continuous take, with the winning sentence sitting inside it and nothing done about the rest.
There is a sameness problem too. Performer libraries are shared across everyone who buys the tool. The face reading your script in March reads a competitor's in April.
That is fine for a hook test. It is awkward for the creative carrying four figures a week. It is worse when the offer depends on believing one specific person. The limit shows up in the CPA, not in the preview.
This is the whole editor
Highlight a phrase and a clip lands on those exact words. No timeline, no keyframes, no layers.
One in fourteen wins, which is why everyone here is selling you volume
It helps to know why every tool in this category sells quantity. Motion's analysis of 550,000 plus Meta ads puts winning creatives at roughly 5 to 8 percent, which is one in thirteen to one in twenty.
At six creatives a month you are drawing six times from a deck where about one card in fourteen wins. Some months you get nothing. Nothing feels identical to failure while being ordinary maths.
So the case for generating reads is sound. More draws, cheaper, faster. The gap is that a draw only counts once it is a finished ad in front of a real audience.
A generated read sitting uncut in a folder is not a draw. It is an intention. Cheap scripts with an expensive edit leaves the bottleneck exactly where it was.
What a 7 percent win rate looks like as a deck of cards
Every tool in this category is selling you more draws. Only a finished ad counts as a draw.
Cutroom starts where the read ends, and the face in it is yours
It takes a take of up to three minutes and turns it into a finished vertical ad. Transcription, a drafted cut, b-roll over the phrases that need showing, captions styled, an opening headline drafted.
You direct on the transcript, so the loop runs in words rather than frames. Delete the line that hedges. Change the pace from normal to fast and the whole video re-cuts. Coverage moves from 45 to 52 percent.
Swap the clip in any spot. Emphasise the word carrying the claim. Trim the opening if the first sentence was a warm-up. Fix a mis-heard product name and the burned-in caption follows it.
There is an avatar module here too and it is deliberately not a casting room. A photo you supply plus a voice-over becomes a lip-synced presenter. That is 320 credits a minute against 20 for cutting a take you filmed.
That gap is the recommendation. Your own face is the only asset in the account nobody else can license out from under you.
- Your own face is the one asset in the account nobody else can license
- Eleven editor actions, all of them on the transcript
- 100 credits a batch, 20 credits per output minute
- Six caption packs, five clip transitions, no timeline
Credits per minute, by which route you take
Cutting a take you filmed is the cheapest path by a wide margin. The pricing was built to say so.
- Export a cut of your own take20 CR
- Generated voice-over70 CR
- Avatar render from a photo320 CR
Test the script there, then bring the winning read here to be cut
Pick MakeUGC if the open question is which script works. Pick it if you need many faces reading one script, or if filming is genuinely unavailable to you.
Pick Cutroom if you will film and the blocker is the edit rather than the script. If the product has a founder story attached, your own face does work no generated presenter can do.
The sane combination is sequential. Test angles synthetically, because that is cheap. Then film the winner and cut it here. That is the version carrying the spend.
The facts a buyer needs. There is no library of licensed actors here. There is no way to type a script and hear it back. There is no text input anywhere in the product.
The source is a single talking-head take of three minutes or less. Output is a 9:16 MP4. There is no timeline underneath, so a beat that lands early gets fixed on the words instead.
Costs, plainly. 100 credits a batch, 20 per output minute, $39.99 a month for 2,500 credits. Read their page for theirs. We will not state anyone else's price as fact.
MakeUGC and Cutroom, row by row
Two rows go to MakeUGC, and they decide it while the script is still the open question. The other six are what turns a read into an ad.
| MakeUGC | Cutroom | |
|---|---|---|
| Many faces reading one script | A library of presenters | One face, and it is yours |
| Hook testing in a day | Fifteen reads by lunchtime | You film each read |
| Finished cut, not a flat take | A read, still uncut | Drafted cut, captions burned in |
| B-roll on phrases you name | Nothing to place it against | Highlight words, clip lands |
| Speaker held on screen by a cap | No cap on a flat read | 40, 45 or 52 percent b-roll |
| Delete a line, cut rebuilds | Regenerate the whole read | The transcript is the interface |
| A face nobody else licenses | Shared performer library | Your own, on purpose |
| Cheap second version | Generate the read again | 20 credits per output minute |
Questions people ask
- Does Cutroom have AI actors I can choose from?
- No. There is no library of licensed performers. The avatar module works from a photo you provide plus a voice-over, at 320 and 70 credits per rendered minute.
- Can I cut a generated video in Cutroom?
- Yes, if it is a single talking-head take of three minutes or less. Cutroom does not care where the footage came from, only what shape it is.
- Is a filmed ad better than a generated one?
- Not automatically. A bad filmed take loses to a good generated one. The advantage is narrow: a real person is credible in a way a shared licensed face is not.
- Who should buy MakeUGC instead of us?
- Anyone whose open question is the script rather than the edit, and anyone who cannot get in front of a camera at all. Test the hooks there, then bring the winning read here to be cut for 100 credits.
Finding the line is half of it. Cutroom does the other half and hands back a finished 9:16 ad with your own face on it.