Toki Coordination
Freemium
Content creators needing quick photo-based videos
Producing a single video ad is a solved problem — producing twelve variants fast enough to feed an A/B test before your media budget resets is where most teams stall. NovAd exists specifically for that gap.
Drop an Amazon, TikTok Shop, Shopee, Shopify, App Store, or Google Play URL and the tool pulls listing data — title, photos, price, reviews — then drafts pain-point-to-benefit selling points and hands them to up to four AI avatar presenters, each generating their own video. The result is a batch of launch-ready variants in one run, not one video you then clone manually. Script editing happens before a single credit is spent, which means you control the hook before anything renders. Failed renders are refunded automatically. There is no API and no self-hosted option, so every workflow runs through the vendor's web interface.
Bottom line: Pick NovAd when your bottleneck is turning a product listing into a test matrix of avatar-led video ads fast; look elsewhere when you need programmatic batch generation at volume, custom brand voices, or any integration that requires an API.
200 credits per month, 20 videos, $1.50 per video
1000 credits per month, 100 videos, $1.29 per video
3000 credits per month, 300 videos, $1.00 per video
70 credits one-time, 7 videos, $1.70 per video, valid 1 year
490 credits one-time, 49 videos, $1.40 per video, valid 1 year (Lite+)
1300 credits one-time, 130 videos, $1.22 per video, valid 1 year (Plus+)
View full pricing on novad.ai →
Pricing may have changed since last verified. Check the official site for current plans.
Find your fit
More options in Talking Heads / Avatar Video. Compare pricing, platforms, and features side by side.
Freemium
Content creators needing quick photo-based videos
Freemium
Creators and founders needing persistent personal assistance
NovAd takes a product URL — Amazon, TikTok Shop, Shopee, Shopify, App Store, or Google Play — and runs a four-step pipeline: pull listing data, draft selling angles, assign AI presenters and voices, then render a batch of videos. Each presenter produces one video per run, up to four per batch, all sharing one ad language selected at the start. The output targets TikTok Ads, Meta Reels, YouTube Shorts, and Amazon Ads formats. The vendor describes the billing model as per-successful-render, with credit costs shown per presenter before generation starts and a line-item batch summary before any credits are committed.
The differentiating mechanic is the batch-first structure. Rather than generating one video and duplicating it, a single run ships a matrix of variants — different presenters, different voice deliveries, same underlying product — ready to feed directly into a split test. The vendor frames this as ‘ship them all, kill the losers, scale the winners,’ which matches how media buyers actually work when testing creative at the top of a funnel.
The tool fits e-commerce sellers and media buying teams who need creative volume tied directly to product listings without a production team. Where it breaks: there is no API, so generation cannot be triggered programmatically or embedded in an existing ad ops pipeline. The platform caps each batch at four presenters per run, which limits variant volume for teams running large-scale creative testing. Product listings that do not exist on the six supported platforms must be entered manually, and the degree of fidelity for manual entry relative to auto-parsed listings is not detailed in available documentation.
Multilingual output is supported — the vendor lists English, Spanish, Portuguese, Japanese, and Arabic among supported ad languages — with scripts and voices localized per market. Avatar selection and script editing are available before rendering, and the vendor states credits are never charged for failed renders, with automatic refunds and free retries on failures.
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