Voice Design
Clone, Design & Use Custom AI Voices

What is AI voice design, and how is it different from text-to-speech?

AI voice design is the step where you create the voice itself — its tone, accent, age, and personality — before you ever generate a line of speech. Instead of picking from a short list of stock narrators, you either clone a real voice from a short recording or describe the voice you want in plain language and let the studio build a new one. The result is saved as a reusable identity you own across projects.

That is a different job from plain text-to-speech, which just reads a script in a fixed, pre-made voice. Voice Design gives you a custom voice; a tool like Voice Generator then uses that voice to read your scripts. Together they let you build a signature sound once and apply it everywhere, rather than settling for whichever generic voice a TTS app ships with.

Should I clone a voice or design one from text?

Clone when you need to reproduce a specific real voice — your own, a narrator you have rights to, or a character actor from an earlier recording. Design when you want an original voice that has never existed and you only have a written brief. Cloning starts from a 5-60 second audio sample; designing starts from a description of age, gender, accent, and emotion. Both save into your reusable voice library.

How do I record a sample that clones well?

A clean 15-30 second sample almost always beats a long noisy one. Record in a quiet room with no music or background chatter, hold a steady mic distance, and speak naturally at your normal pace. One speaker only — overlapping voices confuse the speaker embedding the studio extracts. MP3, WAV, M4A, FLAC, and WebM up to 25MB are all accepted.

• Kill the background

  No music, TV, or fans. Room echo and hiss get baked into the clone and are hard to remove later.

• Speak the way you narrate

  Read a paragraph in the tone your videos use — energetic, calm, conversational — so the clone matches your real delivery.

• Match the target language

  Cloning is strongest when your sample is in the same language you will generate in. Cross-language transfer can shift accent.

• Avoid clipping

  Don't shout into the mic. Distorted peaks in the sample carry into every line the clone speaks.

What can I build with a custom AI voice?

A saved voice becomes a reusable asset. Because it is stored as a fixed embedding rather than regenerated from scratch each time, the same identity carries across every project you drop it into — that consistency is what turns a pile of voiceovers into a recognizable brand voice.

Need to change or translate a voice in existing audio and video instead of generating from text? That lives in Voice Changer, and full-length AI narration and TTS lives in the Voice Generator studio.

How many credits does creating a voice cost?

Cloning a voice from a sample costs 30 credits, and designing a voice from a text description also costs 30 credits. The 9 built-in Qwen3 preset voices are included at no extra cost — you only spend credits when you clone or design a new voice. Once a voice is saved to your library, reusing it in another project does not re-charge the creation cost. All Imagera credits are shared across the studios, so the same balance covers Voice Design, Voice Changer, and the rest of the audio suite.

Want the full breakdown of AI voice creation, cloning ethics, and workflow tips? Read the custom AI voice design guide, or compare pricing against dedicated TTS tools in the affordable ElevenLabs alternative writeup.

Voice Design, Voice Generator, or Voice Changer — what is the difference?

Imagera's audio suite splits into three studios that do different jobs, and they work together. Voice Design is where you create a voice — clone one from a sample or design one from a text brief and save it to your library. Voice Generator turns written scripts into full narration and text-to-speech using those voices. Voice Changer takes existing audio or video and swaps the voice, or translates and re-voices it into another language with optional lip sync. Create the identity once here, then use it everywhere.

A voice you save here is available in all three — clone your narrator once, then dub a whole back catalog in that same voice from Voice Changer or read fresh scripts with it in Voice Generator.

Which languages can custom AI voices speak?

Voice Design supports 11 languages: English, Chinese, Spanish, French, German, Italian, Japanese, Korean, Portuguese, Russian, and an Auto-detect option that picks the language from your input. Preset and designed voices can speak the languages the underlying synthesis supports, which makes them a fast way to localize the same content for different regions from a single identity. For cloning, results are strongest when the target language matches the language of your sample — a clone recorded in English speaking Japanese can pick up an accent, so it is worth generating a short test line before you commit to a full localized narration.

The practical win is consistency across markets: a course, product explainer, or ad series can keep the same recognizable voice while shipping in several languages, instead of hiring a different voice actor per region and losing the through-line that ties your content together.

How does the reusable voice library work?

Every voice you clone or design saves into your library as a fixed identity you can reuse across projects without re-cloning. That is the difference between a one-off generation and a real brand asset: because the saved voice is a stored embedding, the same voice comes back identical every time you select it, so episode three sounds exactly like episode one. Reusing a saved voice in a new project does not re-charge the 30-credit creation cost — you only pay to create the voice, not to use it again.

1. 1

   Create once

   Clone from a sample or design from a brief, then name and save the voice to your library.

2. 2

   Reuse everywhere

   Select the saved voice in Voice Generator, Voice Changer, or a Film Studio actor slot.

3. 3

   Stay consistent

   The identity is fixed, so narration sounds the same across every clip, episode, and language.

Why does my cloned voice sound off, and how do I fix it?

When a clone sounds robotic, muffled, or slightly wrong, the cause is almost always the input sample rather than the model. A speaker embedding can only reproduce what it can hear cleanly, so noise, echo, clipping, and overlapping voices all degrade the result. Fix the sample and the clone usually snaps into place. Here are the most common issues and what to change.

Still not landing? Try a designed voice from a text brief instead of a clone, or start from one of the 9 Qwen3 presets and generate a short test line before committing to a full narration.

More questions about voice cloning and design