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ease
features
design
support

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Description

Muse Video is Meta’s upcoming AI video generation model developed by Meta Superintelligence Labs as part of the company’s new media generation lineup. Previewed with Muse Image, the model is built on the same pretraining base and is designed to produce visually detailed videos with native audio support. Muse Video is focused on generating clips that follow prompts closely, maintain strong visual fidelity, and preserve temporal consistency across motion and scene changes. It can create realistic short videos with clear beginnings, actions, and payoffs, such as animals moving through a scene, handheld first-person footage, product commercials, and UGC-style social ads. The model supports audio-rich outputs that may include environmental sound, foley, music, voiceover, and synchronized spoken dialogue. Meta highlights Muse Video’s ability to handle cinematic prompts, vertical ad formats, realistic camera movement, product demonstrations, and emotionally engaging creative concepts. The company is still investing in improvements for difficult areas such as audio-video sync and physically accurate fast motion. Muse Video is expected to become available to creators and in Meta AI, expanding Meta’s generative AI tools from image creation into video. As part of Meta’s broader creative ecosystem, Muse Video is built to help users, creators, and businesses turn prompts into dynamic, shareable video content.

Description

Our advanced video fingerprinting system harnesses cutting-edge techniques in scene analysis, object tracking, and motion estimation to expertly evaluate video content, enabling the recognition of distinctive features like color palettes, scene layouts, and object movements. This capability ensures that even if a video is altered in resolution, bit-rate, encoding method, or format, it can still be accurately identified. Remarkably, the technology can also detect a video when it is embedded within another video or when only a small segment is utilized. With our software development kit (SDK), you can seamlessly embed this video identification capability into your own applications and services. Our straightforward licensing agreement allows for the inclusion of this technology in an unlimited number of products for a single payment, with no additional fees based on sales volume, meaning you can scale your offerings without worrying about extra costs. In this way, you can leverage our innovative solution to enhance your product line and provide valuable features to your users.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Facebook Yes 
Facebook Messenger Yes 
Instagram Yes 
Meta AI Yes 
Muse Image Yes 
Muse Spark Yes 
Muse Spark 1.1 Yes 
Muse Spark 1.2 Yes 
Muse Spark 1.3 Yes 
Muse Wonder Yes 
Muse Wonder Full Yes 
WhatsApp Yes 

Integrations

Facebook No 
Facebook Messenger No 
Instagram No 
Meta AI No 
Muse Image No 
Muse Spark No 
Muse Spark 1.1 No 
Muse Spark 1.2 No 
Muse Spark 1.3 No 
Muse Wonder No 
Muse Wonder Full No 
WhatsApp No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

€900 per year
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Meta

Founded

2004

Country

United States

Website

meta.ai

Vendor Details

Company Name

VisioForge

Founded

2006

Website

www.visioforge.com/video-fingerprinting-sdk

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