How to use the same voice with a different accent for another market

This page may contain affiliate links from which Blur Studio earns commissions.

This comes up most for businesses selling into more than one English-speaking market, or more than one Arabic-speaking market, where the language doesn't change but the accent that feels native does. A neutral American accent can feel foreign to a Gulf audience, and an Indian-English accent recorded for a domestic audience can feel out of place dubbed straight onto a UK product page. The fix isn't a new voice from scratch, it's an accent shift on the one you already have.

Why remixing is the right tool, and Dubbing isn't

These solve two different problems that sound similar. ElevenLabs' Voice Remixing changes how an existing voice you own sounds, in the same language: its accent, gender, speaking style, pace or audio quality, through a written prompt. Dubbing, by contrast, actually translates content into a different language and generates it in a matching voice. If your market speaks the same language as your original audience but you want the accent to feel more native to them, remixing is the direct path. If your market speaks a genuinely different language, you need dubbing instead, and remixing won't get you there. For Arabic and English, the subtitles, dubbing and lip sync options are compared in one place.

A quick way to tell which one you actually need: if you'd be happy reading the exact same English script to both audiences, just performed differently, that's a remixing job. If you'd need to write different words in a different language for the second market, that's a dubbing job, and no amount of accent prompting on the remixing side will substitute for an actual translation. If dubbing is the right fit, compare the best AI dubbing tools.

A worked example: one product, two English-speaking markets

Say a software company recorded its product-demo voice for a US audience and is now launching in the Gulf, where most of the audience is comfortable in English but a flat American accent reads as generic and imported rather than considered for them specifically. The product copy itself doesn't need rewriting, since English is still the language; what needs to change is how the voice sounds saying it. The same idea works if you redo a webinar for other regions.

• Start from the existing US-accented clone, the one already used across the product's demo videos and in-app walkthroughs.
• Pull 3 to 4 sentences straight from the actual demo script, including the product name and any feature names that get said out loud, as the test script for the remix preview.
• Prompt something specific: "the same voice with a neutral Gulf-accented English delivery, same gender and pace." Avoid vague prompts like "make it sound Middle Eastern," which gives the model too much room to guess what you actually mean.
• Listen to the preview against the original side by side, specifically on the product name. If the name comes out wrong, that's the detail to fix before anything else, since it's the one thing every listener will hear in every video.
• Once it's right, create the new voice and give it a name that makes its market obvious in your voice library, something like "Product Demo, Gulf English," so whoever's producing the next video doesn't have to guess which voice ID is for which market.

The whole exercise, test script included, usually takes less time than recording a single new voiceover line from scratch, which is the actual case for using remixing instead of starting a new voice from zero.

One more thing worth doing before you roll the remixed voice out everywhere: drop the new voiceover into one actual finished video, with its background music, UI sound effects and pacing, rather than judging it only as an isolated audio clip. An accent that sounds right on its own can land differently once it's sitting under screen-recording narration at normal speaking pace with other audio around it. This is a five-minute check, and it catches the rare case where a remix sounds fine in isolation but slightly off once it's actually doing the job it was made for.

How to shift a voice's accent, step by step

1. Start from the voice you already own. This has to be a clone or design you have rights to, or a Voice Library voice available with no removal notice period attached. You can't remix a voice you only have a license to use as-is.
2. Write a short test script that includes your market-specific content. Not a generic sentence: use a real product name, a real place name, or whatever vocabulary your actual content will contain. Accent shifts can mishandle specific proper nouns in ways a generic test sentence won't reveal.
3. Open ElevenLabs' Voice Remixing tool and write the remix prompt describing the target accent plainly. "The same voice with a light British English accent" or "the same voice with a neutral Gulf-accented English delivery" works better than vague direction. Keep gender, pace and style unchanged unless you specifically want those to shift too, since the fewer attributes you change at once, the easier it is to judge whether the accent landed right.
4. Generate the preview and listen for your test vocabulary specifically, not just the general accent. A convincing accent on common words with a mangled brand name or place name is still a problem you'll hear on launch day.
5. Iterate if it's not right. There's no limit on how many times you can remix, and each attempt can build on the last, so refine the prompt in small steps ("slightly less pronounced" or "a touch more formal") rather than starting over from scratch each time.
6. Create the new voice once you're happy, which keeps it separate from your original. You'll end up with two voice IDs: the original accent for its market, and the remixed accent for the new one, both usable going forward.

What to watch for

Accent shifts can sound convincing on neutral sentences and still slip on the words that matter to your actual business: product names, local place names, industry terms. This isn't a flaw unique to ElevenLabs, it's true of any voice model asked to carry an accent it wasn't originally recorded in. The fix is testing with your real content before rollout, not after a customer in the new market points it out. If the voice consistently mishandles a specific term no matter how you phrase the prompt, it's usually faster to accept a manual pronunciation note for that one word (ElevenLabs supports pronunciation dictionaries for exactly this) than to keep tweaking the accent prompt trying to fix it indirectly. If your audience is Arabic or Indian, see how to find a native-sounding AI voice.

Second market, different naming conventions or honorifics are a common miss too: a voice remixed for a new accent still needs a script written the way that market actually talks, not a literal translation of the first market's script into a new voice. Accent and copywriting are two separate jobs, and fixing only the first one still leaves content that reads as written for somewhere else. A phrase like "reach out anytime" reads as friendly in a US context and oddly casual in a more formal Gulf business context, regardless of how native the accent sounds saying it, so a script pass by someone who actually knows the second market is still worth doing even after the accent itself is right.

Managing several market voices without losing track

Once you're past one or two markets, the real risk stops being "does the accent sound right" and becomes "does the right person know which voice ID to use for which market." A small naming convention solves most of this: something consistent like "[Brand voice name], [market]," applied to every remixed voice the moment you create it, rather than relying on memory or a note buried in someone's messages. Keep a short reference sheet, even a simple spreadsheet, mapping each market to its voice ID, the date it was created, and the prompt that produced it, so a future remix (a slight tweak, a refresh) starts from a known baseline instead of someone's best guess at what was done before.

How I'd approach this

For one voice and one or two markets, the steps above are something most teams can do themselves in an afternoon, including the testing. Where this becomes worth building something custom is when a business is running the same content across several markets regularly, product descriptions, ad scripts, IVR messages, and needs a reliable process that doesn't depend on someone remembering which remixed voice ID goes with which market. I've built that as a simple pipeline before: content goes in once, the right market-specific voice comes out automatically, with the pronunciation fixes and accent choices already baked in rather than redone by hand every time, and a lookup table (market to voice ID) sitting behind it so adding a new market later is a configuration change, not a research project.