AI UGC ad generator

Generate ad creative faster than you can brief it

Turn one product and one angle into a set of social-ready video ads with hooks, captions, and vertical framing. Publish the pipeline as an API and your team generates the next batch without waiting on you.

Generate an ad->See pricing

Many hooks, one product

Creative testing is a volume problem. Let the language model write several hook variants from one brief, then generate a matching opening shot for each and see which one earns the scroll.

Your product in the frame

Reference images feed the video models, so a generated scene can be built around your actual product rather than something that vaguely resembles it. Note that some providers reject reference images of recognisable real people.

Vertical, square, and wide

The catalog covers 9:16, 1:1, 4:3, 16:9, and wider, so the same concept renders for in-feed, Stories, and YouTube pre-roll without a separate build for each placement.

Captions and voiceover in one pass

Narration comes from 82 voices, and captions are burned in automatically after transcription. Sound-off viewing is the default in paid social, so this is not optional.

The brand rules live in the prompt

Put tone, claims you cannot make, and visual direction in the system prompt once. Every future generation inherits them, which is a lot more reliable than remembering to say it each time.

Hand it to the team as an endpoint

Publish the pipeline and it becomes a versioned API. Marketing generates new variants through your own tool or a form, and nobody has to learn the canvas to get creative out.

How it works

From idea to finished video

Step 01
Brief it once
Product, audience, angle, and the tone you want. The language model turns that into hooks and shot descriptions instead of you writing each one.
Step 02
Generate the variants
Each hook renders as its own shot, with batch size up to four per node when you want several takes of the same idea to choose between.
Step 03
Cut, narrate, caption
Stitch the beats into a finished spot, mix the voiceover over the top, and burn in captions styled for paid social feeds.
Step 04
Ship it and scale it
Download for your ad platform, or publish the pipeline as an endpoint so the next campaign is an API call rather than a new project.

Use cases

What people build with it

Ecommerce product ads

One SKU, several angles, several hooks. Generate the whole test set from a single brief instead of booking a shoot for each variation.

UGC-style social creative

The casual, in-the-moment look that performs in feed, generated as footage. There is no avatar pretending to be a customer, which keeps you clear of the uncanny middle ground.

App install and demo spots

Pair generated scenes with screen capture in the timeline editor to show the product doing the thing while narration explains why it matters.

Seasonal and promo refreshes

Same pipeline, new offer. A sale that needs creative by Friday is a rerun with a different input rather than a fresh brief.

Agencies running many clients

One pipeline per client keeps each brand's prompt, voice, and caption style separate, and run history shows exactly what was generated and what it cost.

Creative testing at volume

Publish the pipeline as an endpoint and generate variants programmatically, so the number of concepts you can test stops being limited by production time.

FAQ

AI UGC ad generator, answered

Can I put my actual product in the video?

Yes, through reference images. Several video models accept input references, so you can pass a product photo and have the generated scene built around it. Results are strongest for objects and packaging. Be aware that some providers reject reference images containing recognisable real people, which is a provider policy rather than a Treza limit.

How is this different from a one-shot AI video tool?

A one-shot tool gives you one video per prompt and you are back at the start for the next one. Treza is a pipeline, so the brief, the hook writing, the generation, the voiceover, the captions, and the export are steps you configure once and rerun forever. The second ad costs you an input change, not a rebuild.

Can non-technical teammates use it?

Yes, in two ways. They can open a template on the canvas and change the inputs, or you can publish the pipeline as an endpoint and put your own form in front of it so they never see the canvas at all.

Does it generate UGC creator avatars?

No. Treza generates footage, not synthetic presenters, so there is no library of AI creators reading your script to camera. For UGC-style ads that means the emphasis lands on the product, the scene, and the voiceover.

What about brand safety and claims?

Put the constraints in the system prompt on the language model node so every generated script inherits them, and keep a human approval step before anything reaches an ad account. Nothing publishes on its own unless you add a publishing node and a schedule.

Can I use my own model provider keys?

Yes. Bring your own provider keys, stored encrypted, and pay that provider directly for those models. That keeps you free of lock-in on both the model and the billing side.

How much does it cost to make ai ugc ad generator with Treza?

Treza runs on prepaid credits with no subscription. Each generation is charged at the model's own rate from your balance, and only successful runs are charged, so a failed generation costs nothing. A typical video generation settles around $1.06, and credit packs start at $5 and never expire.

Can I call this as an API instead of using the canvas?

Yes. Every pipeline can be published as a versioned HTTP endpoint. Call the typed /invoke endpoint with JSON in and JSON out, or point any OpenAI SDK at the OpenAI-compatible endpoint. Swap a model on a node later and the API your product calls does not change.

Do I need to know how to edit video?

No. Start from a template, change the topic, and run it. If you do want frame-level control, the timeline editor is there with multi-track video and audio, per-clip trims, fades, and volume, but nothing about the automated path requires opening it.

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