Rask AI 168

Rask ai is a next-generation translation and dubbing tool for videos. Powered by AI, Rask provides everything needed to localize videos quickly and efficiently. The platform offers innovative technologies such as "text-to-speech" and "voice cloning", allowing users to add human-like voiceovers to their videos without hiring voice actors.

Rask AI, the next-generation video translation and dubbing AI tool, translates videos or audio from approximately 130 different languages into more than 60 commonly used languages through AI-generated voices and subtitles, making it easier for global audiences to access content. Rask AI also provides innovative technologies such as "text-to-speech" and "voice cloning", allowing users to add human voices to videos without hiring voice actors. The company has received recognition and high praise from many professionals and is one of the innovative AI tools recently recognized by the tech and blogger community.

Rask AI supports more than 60 languages including Chinese and English. Currently, every new user can translate 2 videos for free to try out the experience. The tool is also very easy to operate. First, open the webpage, then upload the video you want to translate.

After uploading to Rask AI, the video is automatically translated and dubbed right away. The page also displays the text version of the original video's audio as well as the translated video's audio, along with a preview of the translated video effect. The translated video can be downloaded directly.

Rask Ai Operation:

1. Upload a video with one or more people in the frame.

2. Translate the video into another language.

3. Press the "Lip Sync Check" button, and the algorithm will evaluate the lip-sync compatibility of the video.

5. If the video passes the check, press "Lip Sync" and wait for the result.

6. Download the video.

Maria Chmir, founder and CEO of Rask AI, stated that this new feature will help content creators expand their audience. Artificial intelligence visually adjusts lip movements to make characters appear to speak the language as fluently as native speakers.

The technology is based on Generative Adversarial Networks (GAN) learning, which consists of a generator and a discriminator. The generator and discriminator compete with each other to stay one step ahead. The generator clearly generates content (lip movements), while the discriminator is responsible for quality control.