Meet Rask AI – a one-stop-shop localization tool that allows content creators and companies to translate their videos into 60+ languages quickly and efficiently. With "Text-to-Voice" and "Voice Cloning" technologies, they can add a professional-quality voiceover to videos without the need for recording or hiring a voice actor. And now you can keep your own voice or your voiceover tone when dubbing.

In early April 2023 Rask AI won the Product of the Day award on Product Hunt, and within the first few weeks, the project hit the first milestone of 10,000 registrations! 

The team removed the 20-minute and 100 MB limits for users with a subscription. Now creators can dub long videos for YouTube or courses without any restrictions. And one more great thing - the dubbing process is three times faster and more efficient!

Multispeaker detection and translation is a unique feature that we believe sets us apart from other services. Rask's AI team is proud to be one of the first to provide this experience.

Tools are fully integrated with popular video platforms and social media sites like YouTube, Vimeo, Instagram, Twitter, and TikTok. 

In early May a team will add two great features. You will synchronize lip moves to any audio. The second feature is summarization. Or simply, it's Shorts. AI will select the most punchy moments from the video and turn them into a squeeze of the juiciest episodes. 

The Rask AI team breaks down language barriers and helps content creators and companies to share their content with different audiences worldwide, increasing their content's potential reach and impact. Check out a free trial! 


Media & Entertainment

Video

Rask AI

Rask AI's headquarters in Dover, DE, United States

This department is responsible for overall strategic direction and legal guidance within the organization.

Executive Leadership

This department focuses on the development and maintenance of software solutions while providing technical support to users.

Engineering & Support

This department focuses on developing and maintaining software applications and systems.

Engineering Department

This department focuses on implementing and managing machine learning infrastructure and processes to optimize model deployment and performance.

Machine Learning Operations

This department focuses on strategies for user acquisition while overseeing design elements related to product, brand, and marketing.

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People (2)

Jobs (0)

Other teams

Engineering & Support

Engineering Department

Machine Learning Operations

User Acquisition and Design

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People (2)

Jobs (0)

Other teams

Engineering & Support

Engineering Department

Machine Learning Operations

User Acquisition and Design

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