How to fix Arabic community and developer names in your listing voiceovers

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In Dubai real estate specifically, getting a community or developer name wrong in a listing voiceover does noticeably more reputational damage than a generic mispronunciation would cause almost anywhere else. A buyer hearing an agent's AI voiceover stumble over "Jumeirah" or a developer's name reads it as the agency not actually knowing the area, which is close to the worst impression a listing can give, right up there with getting the price or square footage wrong.

Why this is exactly what pronunciation dictionaries are for

Unlike a one-off mispronunciation on a single piece of audio, property listing names repeat constantly: the same community names, the same developer names, across dozens or hundreds of listings over time. That kind of ongoing, predictable repetition is exactly the case an ElevenLabs pronunciation dictionary is genuinely built for, rather than a workaround stretched to fit a problem it wasn't really designed for. Set the correction once, and every future listing in that community or from that developer reads correctly without anyone remembering to fix it again.

A dictionary works through rules you define once: an alias rule tells the voice to pronounce a name the way another word or phrase already sounds, which is the simplest and most broadly supported option. For names where an alias doesn't land exactly right, a phoneme-based rule gives more precise control over the exact sound, though it isn't supported identically across every ElevenLabs model, so it's worth testing rather than assuming it carries over cleanly. Which models cover Arabic is laid out in making voiceovers in Arabic, Hindi and English.

How to build the dictionary, step by step

1. List every community, developer and building name you regularly use, not just the ones that have already gone wrong. If one Arabic name is mispronounced, others with similar sounds almost certainly will be too.
2. Write an alias rule for each one using a spelling that produces the right sound when read by the engine's existing pronunciation rules for English or whichever base language you're generating in, keeping in mind that the respelled version only needs to sound right when read aloud, it doesn't need to look like a real word on its own.
3. Have a native Arabic speaker review every single rule before you trust it, not just spot-check a few, and where possible have them listen on the same device a buyer would actually use (a phone, not studio monitors), since small pronunciation issues are easier to miss on higher-quality playback than on the ordinary speaker most buyers will actually hear the listing through. A rule that sounds "close enough" to a non-native ear can still be noticeably wrong to the audience you're actually trying to reach.
4. Upload the finished dictionary as a TXT or .PLS file in your project settings, where it applies to every listing generated under that project going forward.
5. Add new names to the same dictionary as they come up, rather than starting a new one each time. One maintained list is easier to keep accurate than several scattered ones.

A worked example: a new development launch

Say a new development is launching with a name combining an Arabic word and a developer's brand name, something the engine has never encountered before and gets wrong in its first attempt every time. Here's the actual sequence before the first listing voiceover goes out:

1. Get the correct pronunciation from the developer's own marketing or sales team, not from guessing at the spelling yourself. Developers often have an official way they want their project name said, sometimes genuinely different from how an outsider would read it.
2. Write an alias rule that produces that exact sound, and generate a short test clip using the name in a full listing sentence, not the name on its own.
3. Send that test clip to the developer's own marketing contact for a sign-off, not just a native-speaker colleague internally. This protects you if there's a specific pronunciation they're precious about, and it's a cheap way to build goodwill with a developer you'll likely work with again on future phases of the same project.
4. Add the rule to your main dictionary, not a one-off file, since you'll be generating audio for every unit in this development, every future phase, and every price update for months or years to come.

Getting this right before the first listing goes out matters more than fixing it after a dozen listings have already gone live with the wrong pronunciation, since by then you're not just fixing audio, you're also explaining to the developer why their project name has been wrong in your marketing the whole time, which is a noticeably harder conversation than simply getting it right from the start.

Dialect matters here too, not just the base pronunciation

Beyond getting the raw sound technically right, the same name can land differently depending on regional accent expectations. A pronunciation that reads as natural to a Gulf-Arabic ear can sound slightly formal or imported to someone expecting a different regional register, and the reverse is also true. ElevenLabs doesn't expose a dialect picker the way some dedicated translation tools do, so this is specifically where the native-speaker review earns its keep: not just confirming the name is technically correct, but confirming it sounds natural to the specific audience your listings are actually reaching, which for most Dubai brokerages means Gulf-region buyers and agents first. Choosing a voice that already sounds local is covered in finding a native-sounding Arabic or Indian English voice. The script being read matters too: see AI listing descriptions for Dubai property.

What I'd actually tell a Dubai brokerage trying this

This is genuinely worth doing properly rather than patching one listing at a time, because the same names recur so often that the payoff compounds quickly. What I genuinely wouldn't do, under any time pressure, is treat the AI's first attempt at a pronunciation rule as good enough just because it sounds plausible on a quick listen. Dubai's property market serves both native Arabic speakers and a large non-native audience, and a name that's technically "fixed" but still slightly off can read as effort without competence, which may be worse than an obviously synthetic voice that gets the name right. Budget the native-speaker review time into this, every time, not as an occasional spot-check.

When to skip this

If you're a solo agent producing the occasional listing and the names involved are ones you already pronounce correctly when recording yourself, a dictionary is more setup than the problem needs. This is worth building once your listing volume or the number of distinct community and developer names you cover grows past what you can reliably catch by ear each time. For the same fix outside Dubai, see fixing an AI voice that says company and street names wrong.

Common mistakes worth avoiding

• Trusting a rule that sounds "close enough" without a native-speaker review. This is the single most common shortcut that undermines the whole point of building the dictionary. A name that's 90% right still reads as wrong to the audience you're trying to reach.
• Building a dictionary reactively, one complaint at a time. If a buyer or colleague flags one wrong name, that's the moment to review every other community and developer name you use, not just the one that got noticed.
• Letting the dictionary go stale as new developments launch. A dictionary that covered everything correctly a year ago is incomplete the moment a new community or developer enters your listings. Treat adding to it as a standing part of onboarding any new project, not an afterthought.
• Assuming one correct pronunciation works for every audience. If your listings reach both Gulf-Arabic buyers and a broader international audience, what reads as natural to one group may read as slightly off to the other; decide which audience matters most for a given listing and review accordingly.

How I'd approach this

Setting up and maintaining a pronunciation dictionary through ElevenLabs' own plans covers this well for most brokerages. Where I get involved is when a brokerage or developer wants this built into their actual listing workflow: new listing comes in, the system automatically checks community and developer names against a maintained, native-reviewed dictionary, and generates the voiceover with no manual step at all. A practical version of that build also flags any name in a new listing that isn't already in the dictionary, before the voiceover generates, rather than after a buyer has already heard it mispronounced, so a human reviews and approves new names once, and every future listing using that same name is correct automatically from that point on. That's worth building once you're producing listing audio at real volume, several listings a week across multiple communities and developers, not before.