How to fix a voiceover that sounds like a foreigner reading your language

Last updated 2026-09-10 · 8 min read

What is the short version?

A synthesised voice can say every word in your language correctly and still sound like somebody who learned it last year. Native speakers hear it in the first sentence, and no amount of adjusting the script fixes a voice that is fundamentally not from there.

1. Go to Vizard Agent with the video.
2. Say the delivery sounds foreign, not just wrong.
3. Ask it to find a native voice for the language.

What do you need before you start?

The language, stated precisely, and any words you already know break. Vizard Agent searches a voice library, and "Portuguese" and "Brazilian Portuguese" are different requests — as are the words that trip a voice, which are usually acronyms, brand names and place names.

• The language. And the variety, if it matters.
• Which words break. Acronyms and names, usually.
• A sample you like. If you have one.
• The register. Advertising, documentary, instructional.
• Whether it must be one voice throughout. Usually yes.

What do you type into Vizard Agent?

Describe the impression to Vizard Agent rather than the technical fault. "The voice is wrong" gets you a different voice more or less at random; "it sounds like someone reading a language they do not actually speak" names the specific thing you want fixed and points it at the right rung of the ladder.

Prompt

Variants worth knowing:

• "Sounds like someone who does not speak it." The real complaint.
• "A native speaker's voice." What actually fixes it.
• "Let me hear each attempt." Faster than describing.

What does Vizard Agent actually do?

Here is how it went on a real advertisement narrated in a language the first voice clearly did not speak. The order matters, because two of the three rungs are cheap and the third is the one that actually holds.

1. Searches for a professional voice in that language.
2. Generates the narration and transcribes it back.
3. Checks the transcription against the script for pronunciation.
4. Tries the default voice for the language as a comparison.
5. Searches the voice library specifically for that language.
6. Tests several voices across the available engines.
7. Respells the words that still break phonetically.
8. Re-checks that the respelling produced the right sound.
9. Finds a native speaker's voice and generates with it.
10. Analyses the alignment and pronunciation one last time.

Step two is the technique worth taking away. Transcribing the generated audio back and comparing it to the script is how you find out what the voice actually said rather than what it was given, and it catches mispronunciations you would otherwise have to notice by ear.

Step seven is a repair for individual words, not for the whole read. Writing an acronym out the way it sounds fixes that acronym; it does nothing about a voice whose vowels are wrong throughout, which is why it sits below the voice search rather than above it.

Step nine is the one that resolves it. A voice trained on native speech has the rhythm as well as the sounds, and rhythm is most of what makes a read sound foreign — you cannot respell your way to it.

What does the result look like?

Narration that a native speaker hears as narration rather than as a machine attempting their language. The acronyms are said the way people actually say them, the stresses fall where they belong, and nobody watching stops to comment on the voice at all.

Vizard Agent also records which voice it settled on, so the next video in the series starts from that rather than repeating the search.

When does this not work well?

Some languages and varieties simply have thin coverage. If there is no native voice available for your language, the honest options are a human recording or accepting a near miss, and Vizard Agent will tell you which situation you are in rather than cycling through voices.

• Languages with few voices. The library may not have one.
• Regional varieties. Harder to find than the standard.
• Mixed-language scripts. Each language wants its own voice.
• Very technical vocabulary. Respelling is needed regardless.
• Dialect authenticity. A human speaker may be the only answer.

How do you fix a result that came back wrong?

Say what you heard, in the words you would use to a person. Because Vizard Agent transcribes each attempt back, "that word came out as something else" is checkable, and "still sounds foreign" is a signal to go up the ladder rather than sideways.

• "Still sounds foreign." Another voice, not another respelling.
• "That acronym is wrong." Respelled phonetically.
• "Too formal for the market." A different register.
• "The pauses are odd." Rhythm; usually the voice again.

How does Vizard Agent compare to doing it yourself?

By hand this becomes a long argument with the script — respelling words, adding commas, breaking sentences — because the script is the thing you can edit. All of that treats a voice problem as a text problem, and it never quite works.

Common questions

Why does it sound foreign? Because rhythm and vowels come from the voice, not from the words.

Will respelling fix it? Only individual words. Vizard Agent uses it for acronyms and names.

Can it try several voices? Yes, and Vizard Agent will let you hear them rather than describing them to you.

How does it check pronunciation? Vizard Agent transcribes the generated audio back and compares it to the script.

Does the variety matter? Considerably. Tell Vizard Agent which one you need.

What if there is no native voice? Vizard Agent will say so rather than cycling through near misses.

Can it clone a real speaker? With their consent and a recording, yes, though Vizard Agent treats that as a separate job.

Will the timing change? A different voice runs at a different pace, so Vizard Agent re-times the edit.

Can I keep the same voice for a series? Yes. Vizard Agent records which one was chosen.

What about place names? Vizard Agent often has to respell those even with a native voice in place.

Does the register matter? Yes. An advertising read and a documentary read are different voices.

Can it mix languages in one video? Yes. Vizard Agent uses a suitable voice for each of them.

Will the captions match? Vizard Agent generates them from the final audio, not the draft script.

Why not just edit the script harder? Because you are trying to solve a voice problem with text, and it does not reach.