Usability58Design66Speed58Security50Accessibility80Growth62

Cycling through all six. Tap any point to stop.

Measured on six things

Generate up to 4K videos with native audio from images an...

Security

50

HTTPS and HSTS are in place, but the probe found no CSP, frame protection, Referrer-Policy, or Permissions-Policy (4/12), and no SPF/DMARC. No SOC 2, ISO, or bug-bounty page found.

Screenshots

1 / 1

About this app

Vidu Q4 is an AI video model from Shengshu Technology that generates video and synchronized audio together. Launched as a Preview in early October 2026, it supports image-to-video and reference-to-video modes, producing clips from 3 to 16 seconds at resolutions up to 4K. The model excels at maintaining character consistency with up to 15 reference images and 3 voice references, making it ideal for AI series, advertising, social content, and previsualization. While it lacks text-to-video support (unlike its predecessor Vidu Q3), its native audio generation, high-resolution output, and multi-reference capabilities position it as a powerful tool for creators who start from images and need polished, sound-integrated results. Pricing is credit-based, with draft renders at 540p costing significantly less than final 4K outputs.

Key features

  • 1Reference-to-video with up to 15 reference images and 3 voice references for character and voice consistency across clips.
  • 2Native synchronized audio generation — dialogue, lip-sync, and sound effects produced in the same pass as the video.
  • 3Output from 540p to 4K in 3–16 second clips, with per-second credit pricing that makes 540p drafts cheap.

Target customer profile

Drawn from the product itself, not from a survey.

Demographic

AI series and short drama makers

Pain points

Maintaining character consistency across episodes and syncing dialogue

Primary needs

Up to 15 reference images and 3 voice references for consistent cast

Demographic

Advertisers and brand teams

Pain points

Expensive reshoots and post-production audio syncing

Primary needs

Turn product stills into moving shots with native audio at 2K/4K

Demographic

Social media creators

Pain points

Creating engaging short-form video with sound quickly

Primary needs

3-16 second clips with sound, ready to upload, aspect ratio preserved

Demographic

Filmmakers and previs artists

Pain points

Visualizing action scenes and camera moves before shooting

Primary needs

Fast generation of complex action sequences and multi-shot scenes

Scout Review

Written by AI from measured evidence, scored out of 100.

Vidu Q4 is a Preview-stage AI video model from Shengshu Technology that generates video and synchronized audio together from images and references. The site is a working studio with live credit math, real generated examples, and clear resolution tiers from 540p to 4K. It's strongest where it's most specific: character consistency via up to 15 reference images and 3 voice references, aimed at series makers and advertisers. It's weakest on the fundamentals around the product — no trial before sign-in, no docs, inconsistent reference limits between copy and UI, and a security posture that stops at HTTPS and HSTS. Desktop performance is excellent; mobile LCP of 6.6s is not. Accessibility is solid on automated checks. Growth potential is real but unproven against three well-funded incumbents.

Measure by measure

Usability

58

Live cost estimate and resolution/audio toggles make generation predictable, but sign-in is required before any trial, docs are absent, and the UI caps references at 12 while the copy promises 15.

Design

66

A working studio UI with real generated examples and clear per-second credit math. Copy-heavy and utilitarian rather than polished, but the tool itself is legible and the gallery proves the output.

Speed

58

Desktop Lighthouse 99/100 and TBT 0ms show a light site, but mobile LCP of 6.6s drags the mobile score to 72. No published render-time benchmarks; queue tiers are advertised but not quantified.

Security

50

HTTPS and HSTS are in place, but the probe found no CSP, frame protection, Referrer-Policy, or Permissions-Policy (4/12), and no SPF/DMARC. No SOC 2, ISO, or bug-bounty page found.

Accessibility

80

Lighthouse 95/100 with CLS 0. Failing audits are narrow (aria/role mismatches, unlabeled table cells in the credits table). No a11y statement or WCAG claim, and the site is English-only.

Growth

62

Real, specific wedge: reference-driven character consistency plus native synced audio for series and ad work. Crowded category (Runway, Sora, Pika) and no text-to-video, but the segment it names is underserved.

Improvement areas

  • No text-to-video support (a regression from Vidu Q3) and no anonymous trial or demo before sign-in.
  • Thin security posture: no CSP, frame protection, Referrer-Policy, Permissions-Policy, SPF, or DMARC; no audit page.
  • Reference limit inconsistency (UI caps at 12 images, copy promises 15) and no docs or help center beyond a pricing FAQ.

Design & Usability

Vidu Q4's site is a functional studio, not a landing page — upload references, set motion, resolution, duration, and audio, and the credit cost updates live per second (540P=1, 4K=8). That predictability is genuinely good UX for a credit-based tool. The Inspirations gallery shows real generated clips with prompts, which is the most honest thing on the page. Where it slips: sign-in is required before you can try anything, there's no docs or help center beyond a pricing FAQ, and the reference uploader caps at 12 images while the marketing copy promises 15. The page also buries the tool under several paragraphs explaining what a video model is — useful for SEO, tedious for a returning user.

Speed & Security

Speed is split: desktop Lighthouse 99/100 with TBT 0ms and CLS 0, but mobile LCP of 6.6s pulls the mobile score to 72. The site is light; the mobile paint is the problem, and there are no published render-time benchmarks to tell you how long a 4K clip actually takes. Security is the weakest measured dimension: HTTPS and HSTS are present, but the probe found no CSP, no frame protection, no X-Content-Type-Options, no Referrer-Policy, no Permissions-Policy, and no SPF or DMARC — 4 of 12 checklist points. No SOC 2, ISO, pen-test, or bug-bounty page was found. For a tool that takes credit-card payments and holds your uploaded reference images and voice samples, that's a thin posture.

Accessibility & Growth

Accessibility scores well on automated checks: Lighthouse 95/100, CLS 0, and the failing audits are narrow — aria/role mismatches, some visible labels without matching accessible names, and a credits table with <td> cells but no headers. No WCAG statement or language switcher, so the site is English-only and makes no conformance claim. Growth is the interesting one. The idea is specific and defensible: reference-to-video with up to 15 images and 3 voice references, native synced audio, 3–16 second clips up to 4K, aimed squarely at AI series and short-drama makers who need a consistent cast across episodes. That's a real, expensive problem — reshoots and audio syncing — and the wedge is concrete. The limits are equally concrete: no text-to-video (a step back from Vidu Q3), a crowded category with Runway, Sora, and Pika, and a domain registered in October 2026 with no traction signals in the collected evidence. The idea can grow; whether this site is the one that captures it is unproven.

Conclusion

If you make episodic AI content and the pain is keeping a character's face and voice consistent across shots, Vidu Q4's reference-to-video mode is aimed directly at you, and the per-second credit pricing makes experimentation cheap at 540p. Go in knowing what you're getting: a Preview model with no text-to-video, a site that won't let you try before signing in, and no published security certifications. Draft at 540p, check hands and limbs on the first render, then commit to 2K or 4K. The tool is real. The trust infrastructure around it isn't there yet.

Suggestions for improvement

  • Add an anonymous demo or a free first generation so users can judge output quality before creating an account.
  • Publish real render-time benchmarks per resolution and queue tier instead of just naming the tiers.
  • Reconcile the reference limit: the UI caps at 12 images, the marketing copy says 15. Pick one and match it.
  • Ship a security page with CSP, DMARC, and any audit or pen-test results — this is a paid product holding user media.
How we score

Alternatives comparison

Named competitors, point by point. Nobody paid to appear here or to be left out.

Vidu Q4 AI Video GeneratorRunway MLSora by OpenAIPika Labs
Text-to-video generationNot supported — every clip starts from at least one imageYes — core featureYes — primary input modeYes — text or image input
Native synchronized audio generationYes — dialogue, lip-sync, and sound effects in one passPartial — audio tools available, not native lip-sync generationYes — Sora generates audio with videoLimited — audio features not a core strength
Character consistency via reference imagesUp to 15 reference images + 3 voice referencesCharacter reference features available, fewer referencesLimited reference-based consistencyBasic image-to-video, limited multi-reference
Maximum output resolutionUp to 4KUp to 4K on higher tiersUp to 1080p typicallyUp to 1080p
Pricing modelOne-time credit packs: $19.9 / $49.9 / $99.9, credits never expireMonthly subscription tiersIncluded with ChatGPT Plus/Pro subscriptionFreemium with monthly subscription tiers
Free trial or demo before signupNo — sign-in required before any generationFree tier with limited creditsLimited access via ChatGPT subscriptionYes — free tier available

Comparing options? See Vidu Q4 AI Video Generator alternatives, scored side by side

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