Motion Control AI (branded as LaunchBert) is an AI video generation tool centered on "motion transfer," positioned to transfer dance, body movements, and camera rhythm from a reference video onto a character image to generate motion-controlled videos, targeting scenarios such as social videos, animation, and advertising.
Purpose
Once the tool's core purpose is to make a static character "move": users provide a character image as the visual subject, and then provide a reference motion video as the motion source, and the tool maps the motion timing, movement direction, and camera movement rhythm from the reference video onto the character, thereby obtaining a motion-controlled AI video. The official description emphasizes that this is a "reference-driven" motion approach, rather than relying on text prompts to guess the motion, and it also does not require skeletal rigging or keyframe setup used in traditional animation production.
Main Capabilities
According to the official page, Motion Control AI can transfer dance, gestures, walking, performance rhythm, body movements, and camera rhythm (such as push, pull, pan, and tilt) from a reference video onto a character image, while maintaining the character's facial features, clothing, and style as stably as possible. The controls listed officially include: character image input (people, avatars, illustrations, or virtual characters can all serve as the visual subject), reference motion input (dance, body movements, gestures, or camera movement footage), motion transfer, character consistency preservation, and credit refunds for tasks that fail on the platform side. The currently configured workflow supports standard or professional quality, character orientation, background source, and optional text prompts. It also provides API access capability: after creating a key, authorize requests in Bearer format, submit tasks containing modelId, visibility, and payload fields through the /api/ai-studio/execute endpoint, and then poll the task endpoint to read queued, running, successful, or failed status; API usage is billed by credits, consistent with account balance and pricing rules.
How to Use
The overall process consists of four steps: Step one, upload a character image; it is recommended to use a clear, well-lit, full-body or half-body image, and photos, illustrations, avatars, and stylized characters can all be used to determine the final appearance; Step two, add a reference motion video; dance, gestures, performance, or camera movement footage can be used, and it is best to match the framing of the image and video as closely as possible to obtain cleaner motion transfer; Step three, perform motion and camera rhythm transfer, mapping the body movement, timing, and camera rhythm of the reference video onto the character; Step four, preview, download, or regenerate; if the result shows drift, improve the material pairing or simplify the motion before trying again, rather than repeatedly investing the same input.
Use Cases
The official use cases include: vertical short-form social videos such as TikTok, Reels, and Shorts, using new people, mascots, illustrations, or virtual characters to reproduce popular dance choreography; character animation, turning static character art into performances without rigging skeletons or setting keyframes; virtual humans and AI influencers, giving digital people repeatable gestures, dances, and host-style body language; advertising and social marketing, making mascots and brand characters move for campaign hooks, product storytelling, and creator-style ads; small creative studios, prototyping and previsualizing character motion before committing to manual animation or full production. The official page also mentions suitability for short-video creators, dance and entertainment channels, AI artists, character animators, virtual human teams, marketers, e-commerce teams, and small studios.
Limitations
The official FAQ clearly states: whether a character can remain fully consistent is not absolute; the source image is only used to guide identity, clothing, and style, and complex movements, occlusions, framing mismatches, and unclear limbs can still cause visual changes; the tool cannot automatically detect all bad inputs, upload validation can only catch some file issues, and users still need to check themselves for situations such as multiple performers, covered faces, cropped limbs, blur, or framing mismatches; reserved credits are automatically returned when a platform-side task is settled as failed; commercial use depends on the purchased plan, terms of service, model rules, and the user's rights to the input materials, and the relevant terms should be reviewed before formal production use. The official page also gives practical advice: full-body character images paired with full-body motion references are more reliable; portrait materials paired with portrait images and wide-format materials paired with wider character shots can reduce forced reframing; reference clips should ideally contain only one clearly visible performer to avoid repeated occlusion.
Pricing
The official page offers annual billing plans: Creative is $118.80/year, with 1,600 credits per month, about $0.62 per 100 credits; Professional is $358.80/year, with 5,400 credits per month, about $0.55 per 100 credits; Studio is $958.80/year, with 16,000 credits per month, about $0.50 per 100 credits. There are also one-time credit packs for temporarily increasing usage, and cryptocurrency checkout is supported. New users can try the motion control workflow through a free credits path. Specific benefits (such as priority processing, batch friendliness, API access, and support) are subject to the plans listed on the page.
