Best if
- - You already have long-form footage to repurpose
- - Your team values transcript-driven clipping and captions
- - The goal is more content distribution, not net-new ad generation
This pricing page focuses on what Vizard's free and paid plans actually mean for teams repurposing long-form content, and where that workflow stops being enough for ad creation.
Last updated: March 17, 2026
Vizard pricing makes sense when the workflow is built around clipping and repurposing existing footage. The key limitation is that those plans still do not replace a net-new ad-generation stack.
For teams producing creator-style ads from scratch, the bigger cost question is not Vizard's monthly price. It is how much additional tooling is still required before a campaign can launch.
| Option | Monthly pricing | Typical output basis | Effective cost/video |
|---|---|---|---|
| EzUGC Startup | $49 | 10 videos / month | $4.90 |
| EzUGC Growth | $99 | 20 videos / month | $4.95 |
| Vizard Free | $0 | 60 upload credits | Trial only |
| Vizard Creator | $14.50 | 600 upload credits / month | Varies by repurposing workflow |
| Vizard Business | $19.50 | 600 credits + team seats | Varies by clips, seats, and workflow |
Vizard's plans are repurposing-oriented. Public HTML exposes the free tier and monthly credit packaging more clearly than exact team-plan totals, so paid benchmarks should be re-verified before purchase.
This pricing page uses Vizard's public pricing, help-center documentation, and workflow assumptions so the benchmark stays tied to real repurposing use cases.
Snapshot date: March 17, 2026
The free plan helps validate the editing workflow, but it does not answer whether Vizard can replace enough of your ad-production system to matter long term.
Teams still need to translate upload credits into how many usable clips actually make it into paid-social tests.
If scripting, AI actors, and new creator-style assets happen elsewhere, total campaign cost extends beyond the Vizard plan quickly.
These answers focus on pricing mechanics, fit, and what teams usually miss when they benchmark the sticker price.
After pricing, the next useful step is usually to separate review intent from switch-planning intent so you can compare fit without mixing page purposes.
Let ChatGPT, Claude, or Perplexity do the thinking for you. Click one button and see what each AI says about EzUGC.ai.