




Several faces in shot. Each speaker matched to their own translated audio, in the same frame.
Faces turned away from the camera. Profile and three-quarter angles, speakers looking at a screen or at each other.
Partly covered mouths. Beards, moustaches, glasses, a hand near the face, or a microphone in shot - even when the mouth is partly obscured, subtle facial expressions remain readable.
Cuts and camera movement. Handheld footage, pans, and edits that change angle mid-sentence.
Uneven light. A lecture hall, a sanctuary, an office at the end of the day.
Fast dialogue. Overlaps, interruptions, and the pace people talk at when they are off script.
Long recordings. Full sessions and course modules, start to finish.
Enhanced lip-sync is the level these hold at. Standard trades precision for minutes.
For recurring volume, the Rask API removes uploading files one at a time and the handoffs around it, lip-sync included.
Certified. SOC 2 Type II and GDPR compliant. Video and audio stay encrypted in transit and at rest.
Your footage stays yours. Your content is not used to train models.
Consent comes first. In many jurisdictions a voice and a face carry protections comparable to a signature. Rask works from footage you own and voices you have permission to use.
A neutral option exists. Where consent for a specific voice is unavailable, a synthetic voice with usage rights covers the same content.
The user interface is exceptionally intuitive, making the entire process ultra-easy for me. I've particularly appreciated Rask's proficiency in handling technical and specialized language commonly found in online courses. The translations consistently maintain accuracy and a natural tone.
It has an easy to use interface where both the original language and the translation can be edited. And the clone voices are quite good. In totality a top tool right now in the market. I'm the host of a local podcast that we would like to internationalize - translating it to several languages and sending it out again using the original voices, now cloned and speaking English.
The most helpful feature is to edit the translated transcript and being able to redub the video. The voice cloning feature is very accurate - that is great for delivering the content of a known guest, that people know how their voice sounds. Now they recognize the voice and understand the message.
The easy straightforward way to use it, the fact to be able to edit the translated text before rendering the final versions - we work with videos that need compliance approval for the text, so for us this is an important feature, together with the fact that the voice cloning is very well achieved. It makes it easier for us to respond quickly to client changes.
You don't need any previous knowledge, you just sign up and start translating and dubbing your videos. The possibility to correct the translations helps to get exceptional results. I have done a project of about 30 videos of about 25 minutes each in 2 languages and the results were excellent.
I used Rask to translate 18 episodes of a podcast from the original Italian. I cloned my own voice and used library voices for all the other people involved. The result is amazing. My cloned voice sounds like my own voice (with a better accent). Rask allowed me to translate an Italian podcast into English in just 3 days.
The most impressive feature is the AI's ability to maintain the speaker's original voice while translating the content. This is a game-changer for online educators like myself looking to reach a global audience. French being my first language, it was difficult for me to reach students from UK, US, etc. But with this tool, I have access to a bigger market.
I'm a Canadian YouTuber who's always wanted to translate my content to the french language. I've used it on a couple of my videos to date, and have to say I'm quite impressed with the cloned voice feature. Planning on using it for 3-4 videos per month to bring my french channel back to life without a huge time commitment.
AI lip-sync adjusts the mouth movements of a person on video so they match a new audio track. Powered by artificial intelligence, the model reads the speech in the target language - its sounds, timing, and pacing - and reshapes the speaker's mouth frame by frame to fit. This lip sync technology makes a translated video look as if it were filmed in that language. It's also used in both 2D and 3D animation to animate dialogue automatically, beyond localization use cases. The result is a lip synced video, not audio dubbing alone.
Simply upload the video to Rask and choose your target languages. Rask transcribes and translates it, then you review the result and adjust the script and the timeline. When the translation reads the way you want, click lip-sync and Rask uses lip sync technology powered by artificial intelligence to reshape the speaker's mouth across the video. Preview the output, regenerate any segment that lands off, and export.
The same three steps in the lip-sync generator: simply upload, choose your target language, approve the translation, and apply lip-sync. That's how AI lip sync works in practice: Rask handles the transcription, the translation, the voice, and the mouth movement. Your work is reviewing the script and approving the output, and that review is where the quality difference comes from when you create lip sync videos.
It depends on what you are lip-syncing, but for most teams these are the three steps they use to create lip sync videos. Tools built for short social clips optimize for speed on a single face, while localization platforms handle how lipsync AI works in one workflow: transcription, translation, voice generation, and mouth adjustment. Tools built for localization have to support long-form content, multiple speakers, terminology control, and review before publishing. We covered the current landscape in our guide to the best AI lip sync apps.
Rask bills in minutes, and one minute is a universal credit you spend on translation or lip-sync. Translation uses one minute per minute of finished video, per language.
Lip-sync depends on the level: Standard uses 1 minute per minute of video, Enhanced uses 3 minutes. A ten-minute training module into two languages with Enhanced lip-sync comes to 80 minutes - 20 for translation, 60 for lip-sync. The same module on Standard comes to 40.
In money, that puts lip-sync at from $1 per minute of video on Standard and from $3 per minute on Enhanced with discounts available on Enterprise plans.
Plans run from Creator to Enterprise, and extra minutes are available on annual plans. Full breakdown on pricing.
Upload MP4, MOV, WEBM, MKV, or AVI, or paste a YouTube or Google Drive link.
On a subscription there are no hard limits on file size or duration, and Rask supports long recordings: full course modules and recorded sessions. For videos over three hours we recommend splitting them in two for faster processing. Export is MP4, with captions burned in or delivered as a separate SRT file.
Two things decide it: the level you choose and the source material. Enhanced holds up on close inspection, including on faces with beards or glasses. Standard is looser and can read as mechanical.
Beyond that, a face that is visible and in focus, even lighting, and clean audio give the model the most to work with. You can upload videos up to 4K resolution for lip-sync. Heavy motion blur, a mouth covered for most of the shot, or a very low-resolution source give it less, and the result shows it. Because processing time depends on video length, resolution, and scene complexity, real-time progress monitoring helps you plan edits and downloads. Preview before publishing and regenerate individual segments where the delivery is off, that loop is what brings a whole library to one standard.
Yes. Processing time depends on video length, resolution, and source complexity. Rask builds the voice print from the audio already in your source video, so the voice comes straight from the footage rather than requiring an extra audio file or a separate recording of your own voice. Voice cloning is available in 32 languages, with independent controls for how closely the output matches the speaker's identity and how much emotion carries through.
Yes. Rask separates the speakers in your recording, assigns a voice to each, and matches every face in shot to its own translated audio. Panels, interviews, and two-host recordings stay usable without splitting the file. More on multi-speaker translation.
Lip-sync is legal when you hold the rights to the footage and permission from the person on camera. In many jurisdictions a voice and a face carry protections comparable to a signature, so consent is the starting point for commercial publication. Where consent for a specific voice is unavailable, a neutral synthetic voice with usage rights covers the same content.
AI dubbing replaces the audio. Lip-sync changes what the audience sees, so the best result is video content where speech and on-screen motion stay aligned and the mouth matches that new audio. Voice cloning decides whose voice they hear. The three stack: dubbing alone carries a translated voice-over, dubbing plus lip-sync makes an on-camera speaker believable, and voice cloning keeps it recognisably the same person.