Standout features
Vidu is a fast, affordable AI video generator — its standout is reference-to-video, keeping multiple characters and objects consistent across shots from a few reference images.
Worldwide search interest, indexed 0–100 · Google Trends.
Vidu is ShengShu’s AI video platform — fast, affordable, and built around reference-to-video, where multiple characters and objects stay consistent across shots.
- By ShengShu Technology, Beijing; founded 2023 (Tsinghua).
- Reference-to-video / multi-entity consistency (3–7 refs).
- Text-, image- and reference-to-video; ~10s/clip, 1080p.
- 10M+ users, 200+ countries; Alibaba-backed Series B.
Vidu centers on consistency.
- Reference-to-video: 3–7 images for a consistent cast.
- Text-to-video and image-to-video too.
- Newer Q3 adds long-form + native audio.
- Particularly strong on anime / animation.
Freemium, low-cost.
Vidu fits consistency-driven creators.
- Anime + animated-series makers.
- Character-driven storytelling.
- Budget-conscious creators wanting speed.
- Top-end photoreal cinematic work.
- Teams avoiding China-based services.
No tool is perfect — the trade-offs to weigh:
- Photoreal ceiling trails the top models.
- Short clips by default.
- China-based service may concern some.
- Credits meter generation.
- ✓Reference-to-video consistency
- ✓Fast (~10s) + affordable
- ✓Strong for anime / animation
- ✓Text + image + reference modes
- ✓Alibaba-backed, fast-iterating
- ✕Photoreal trails leaders
- ✕Short clips by default
- ✕China-based may concern some
- ✕Credit-metered
Creators value Vidu for reference-to-video consistency — keeping the same characters and objects across shots — plus fast, cheap generation and strong anime results. The gripes are a photoreal ceiling below the top models, short clips, and credit metering. Sentiment is positive for consistency-driven and animation work.
Vidu is the AI video platform from ShengShu Technology, founded by Tsinghua researchers.
Company figures are drawn from public disclosures and reputable trackers (gathered Jun 2026). User and revenue numbers are estimates and move fast.
Pick up to two other coding tools to see them head-to-head on the same rubric.