Make Your Voice Anonymous
& Change Language with Lip Sync

Four Powerful Modes

How It Works

Credit Pricing

Frequently Asked Questions

Who Voice Changer is for

One studio covers voice changing and language dubbing for both audio and video — so a range of creators can re-voice content without re-recording it.

Auto or manual dubbing — your choice

Language Dubber and Video Dubber can run hands-free, or step by step when you want to review the text first. Voice Changer modes are always direct — they swap the voice without transcribing.

Tips for the best results

A few things to keep in mind so your voice-changed or dubbed output sounds clean and natural.

What is an AI voice changer, and when do people use one?

An AI voice changer transforms the voice in a recording into a different voice while keeping the original performance — the words, pace, laughs, and emotion stay, only the timbre changes. It is not a pitch-shift gimmick or a robotic filter; it re-renders the speech in a new voice identity you choose. That makes it useful for anonymizing a clip before you post it, giving a series a consistent narrator without re-recording, or swapping a voiceover on an ad you already shot.

Imagera's studio pairs that with a language dubber, so the same upload can also be translated and re-voiced into another language with lip sync. Below is how to tell which of the four modes you actually need, and how to get a clean result the first time.

Voice Changer vs Language Dubber — which mode do I need?

Both live in the same studio, but they solve different problems. Voice Changer keeps the original words and only swaps the voice identity; Language Dubber transcribes, translates, and re-voices so the content ends up in a new language. Pick by asking: do I want a different voice, or the same content in a different language?

How does the AI keep my emotion when it changes my voice?

In the Voice Changer modes the studio performs speech-to-speech conversion rather than re-reading a transcript. It maps the timing, pauses, laughs, breaths, and emphasis of your original take onto a new voice identity, so a joke still lands, a sigh still reads as a sigh, and your pacing stays intact — only the timbre changes. That is different from text-to-speech, where the AI reads words fresh and any performance in the original delivery is lost. It is why Voice Changer clips work best under about 45 seconds and why cleaner source audio produces a cleaner result.

The Dubber modes take the opposite approach on purpose: they transcribe your speech, translate it into the target language, then generate a fresh performance in a voice you choose. You can steer the translation tone — casual, formal, influencer-reel, or story narration — and in Manual mode you can fix names, slang, and technical terms before the AI ever speaks them.

When should I turn on AI lip sync for video?

Lip sync re-animates the speaker's mouth to match the new audio. It costs extra credits and is capped at 60 seconds per clip, so it is worth using selectively — it makes a dub look natural on a talking-head shot, but adds little when the speaker is off-screen or turned away.

Want to design the voice you dub into first? Create or clone one in Voice Design and it becomes available here. For deeper walkthroughs, see the voice changer and dubbing studio guide or the AI video dubbing software overview.

What can I actually do with Voice Changer?

The four modes cover the two most common re-voicing jobs — changing who is speaking, and changing what language they speak — for both audio-only and on-camera content. Here is how each one plays out in a real workflow, so you can pick the right mode before you spend credits.

What files, languages, and durations does it support?

Audio uploads accept MP3, WAV, M4A, OGG, and AAC up to 25 MB. Video accepts MP4, MOV, and WebM up to 100 MB. AI lip sync runs on clips up to 60 seconds, and Voice Changer preserves timing most reliably on clips under about 45 seconds — for longer material, cut it into scenes and process the on-camera segments individually.

Voice Changer works with source audio in any language, since it converts speech to speech rather than reading a script. The Language Dubber translates across 12 languages — English, Spanish, French, German, Italian, Portuguese, Japanese, Korean, Chinese, Russian, Arabic, and Hindi. In Manual mode you can edit the transcript and translation before generating, which is how you keep names, slang, and technical terms from coming out wrong in the new language.

Every job draws from one shared Imagera credit balance, and you are only charged for the steps a mode actually runs — an Audio Voice Changer job never pays for translation, for example. For a step-by-step walkthrough of turning long talks into clips and dubs, see how to create a podcast with AI.

Why does my dub or voice change sound glitchy, and how do I fix it?

Almost every quality problem traces back to the source file. The AI has to transcribe or convert what it hears, so heavy background noise, multiple overlapping speakers, or a very long clip make the job harder. Feed it cleaner input and the output cleans up with it. These are the fixes that matter most.

The single biggest lever is clean input: one speaker, minimal background noise, and a short clip. Get that right and Auto mode handles the rest in a couple of clicks.

See it in action