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MakeUGC

MakeUGC is an AI UGC video platform with 1,000+ avatars, product-in-hand scenes, Video Agent ad recreation, and credit-based generation for performance marketers.

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MakeUGC is an AI user-generated content video platform for ecommerce brands, agencies, and performance marketers who need talking-head ad creatives without hiring creators. Users write a script, pick from 1,000+ realistic AI actors, and generate lip-synced videos in about two minutes. MakeUGC adds product-in-hand shots, motion-controlled avatar re-creation, B-roll generators, batch workflows, and a Video Agent that rebuilds reference ads using your product assets.

Key Features

  • AI actor library: Choose from 1,000+ presenters across demographics with 50+ language support for localized ads.
  • Talking head generation: Scripts become lip-synced UGC-style clips using models such as OmniHuman and Nova V2 with credit-based pricing.
  • Product in hand: Pro-tier avatars hold, showcase, or consume products on camera for ecommerce demonstrations.
  • Video Agent: Upload a reference ad and rebuild pacing, structure, and flow with your product and creator images.
  • Content Library: Browse high-performing UGC formats by niche and recreate them with one click plus your dialog.
  • Built-in editor: Add captions, music, B-roll, and trims without leaving the platform.
  • Batch and API options: Scale generation with batch mode or API Starter and API Pro plans for production pipelines.

Video Models and Credits

MakeUGC routes jobs through multiple video backends including Kling, Veo 3.1, WAN, Seedance, Pixverse, and Sora 2 variants with per-feature credit costs. Talking actor clips typically cost one to two credits, while premium B-roll or Sora Pro outputs consume more. Credits reset monthly per plan, and enterprise sales offers custom workflows with strategists and Slack support.

Pricing and Plans

PlanMonthly PriceIncludes
Startup$49/month5 AI videos/month, 1,000+ actors, batch mode, B-roll and image tools, $1 trial entry
Growth$69/month10 videos/month, expanded generation limits for testing creatives
Pro$119/month20 videos/month, product in hand, Video Agent, PDF to video, custom avatars
API Starter$99/month20 videos/month via API, 500+ actors
API Pro$299/month60 videos/month, higher concurrency and priority queue

Annual plans advertise up to 50% savings. A $1 promotional trial lowers entry risk for new accounts. Enterprise plans add dedicated strategists, ElevenLabs voice integration, and custom AI workflows via sales calls.

Pros and Cons

Pros:

  • Rapid UGC ad iteration helps performance teams test hooks without creator contracts.
  • Large avatar library and multilingual support suit global ecommerce campaigns.
  • Video Agent and Content Library accelerate remaking proven ad structures.
  • API tiers enable embedding generation into existing creative ops stacks.

Cons:

  • Low-tier plans exclude product-in-hand and Video Agent features reserved for Pro.
  • Monthly video counts are modest relative to credit consumption on premium models.
  • AI UGC may require disclosure and platform compliance review for paid ads.
  • Enterprise-grade volume still demands custom pricing beyond standard Pro limits.

Compliance and Creative Strategy

Performance marketers should review platform ad policies and regional disclosure rules before publishing synthetic UGC at scale. MakeUGC helps teams test hooks, offers, and calls to action faster than traditional creator sourcing cycles. Agencies can maintain a library of winning scripts and swap avatars or languages for geo-targeted campaigns. Product-in-hand and Video Agent features on Pro plans are especially useful for ecommerce brands showcasing packaging, unboxing moments, and before-and-after demonstrations without studio rentals.

Who Should Use MakeUGC

MakeUGC fits DTC brands, Shopify sellers, mobile app marketers, and agencies running high-velocity paid social tests who need many UGC-style variants quickly. Teams with established creator relationships may use it for filler variants or rapid concept testing. Brands requiring fully live-action authenticity or broadcast compliance without synthetic presenters should evaluate hybrid workflows.

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