Synthar is an AI-powered platform that localizes video and audio content into 30 languages using machine learning, voice cloning, and lip-sync technology. It reduces localization costs and time, enabling users to produce up to 100 videos monthly for as little as $30, eliminating the need for human translators and voiceover artists.
Funding
Funding not disclosed
Founders
Product
Problem
Creating localized video and audio content is traditionally expensive and time-consuming, requiring human translators, voiceover artists, and complex editing processes. This limits the ability of content creators and businesses to efficiently reach global audiences.
Solution
Synthar is an AI-powered platform that automates video and audio localization into multiple languages. By leveraging machine learning for translation, voice cloning to replicate the original speaker's voice, and lip-sync technology to align translated speech with lip movements, Synthar significantly reduces both the cost and time associated with content localization. The platform enables users to produce multilingual content without the need for manual translation or voiceover work, ensuring consistent quality and a user-friendly experience.
Target Audience
Synthar targets content creators, educators, and businesses looking to expand their reach to global audiences by efficiently localizing video and audio content.
Features
- AI-powered translation for efficient and accurate content localization
- Voice cloning to replicate the original speaker's voice, tone, and emotion
- Lip-sync technology to align translated speech with the speaker's lip movements
- Gesture and expression adaptation to match the translated speech
- Customizable adjustments to suit specific audience demographics
- Support for translating existing video content without requiring new content production
- Automatic subtitle syncing