Lahjty

Arabic breaks most multilingual marketing tools in a way their feature lists never admit. Ask a general-purpose model for Arabic ad copy and you get Modern Standard Arabic — correct, formal, and instantly recognisable to a Gulf reader as something written by an institution rather than by a brand that knows them.

Lahjty is built on that gap. You pick a market before you write anything, and the output comes back in the dialect that market actually speaks: Saudi, Emirati or Egyptian, with the same source idea rendered three different ways rather than translated once.

Around that sits more than a copy generator. The same brief drives campaign images with Arabic text rendered into them, dialect-aware voice, and long-form SEO articles grounded in your own brand sources — a combination that tools like Jasper AI cover in English and largely leave to translation everywhere else.

Five Things Lahjty Puts In One Place

• Dialect-aware copy: one source idea rewritten as Saudi, Emirati or Egyptian campaign copy, not translated into formal Arabic and left there.
• Images with real Arabic text: campaign visuals generated with the Arabic wording built into the workflow, which is where most image generators quietly fail.
• Voice in dialect: approved copy turned into audio with dialect-aware voice profiles, with playback, regeneration and download.
• Articles grounded in your sources: long-form Arabic SEO pieces built from brand URLs, PDFs and notes you supply, rather than from the model's general knowledge.
• A developer surface: a Partner API, an MCP server, OpenAPI docs and an llms.txt — unusually complete for a product this size.

Why Does Arabic Marketing Need Dialect Awareness?

Because the written standard and the spoken language are genuinely different things. Modern Standard Arabic is the language of news bulletins, government notices and school textbooks. It is understood everywhere and spoken natively nowhere, and a brand that advertises in it sounds like an announcement rather than a conversation.

The gap is not decorative. Vocabulary, sentence rhythm and the words that carry warmth or urgency all shift between Gulf, Levantine and Egyptian speech. A weekend offer written for Riyadh and the same offer written for Dubai differ in wording a translator would not change and a local reader would notice immediately.

Lahjty's own demonstration makes the point better than its marketing does: one English brief, rendered as Saudi, Emirati and Egyptian copy side by side, with visibly different phrasing in each. That is the product in a sentence.

Turn one source idea into Saudi, Emirati, and Egyptian campaign copy that sounds written for the market, not translated into it. — Lahjty, September 2026

What Can You Produce From A Single Brief?

Four output types, all driven from the same brand context rather than from four separate prompts. This is the structural idea worth understanding, because it is what separates Lahjty from running the same request through a chatbot four times.

You describe the product, pick a target dialect, a platform and a tone, and the workspace produces:

• Ad copy and headlines shaped for the platform you chose — the length and register that suit Instagram are not the ones that suit WhatsApp or X.
• Dialect conversion of copy you already have, so approved messaging can move between Gulf markets without a rewrite from scratch.
• Campaign images generated for the chosen platform, with the Arabic wording optionally rendered into the artwork rather than added afterwards.
• Dialect-aware speech from approved copy, with named voice profiles per market and regeneration until the read is right.
• SEO articles built in stages — setup, outline, writing — from brand sources you attach, with a target keyword and market set at the start.

How Brand Context Travels Between Generations

You save a brand profile once: the offer, the audience, the voice, plus URLs, PDFs and free notes. Every later generation pulls that context in automatically, which is the difference between a tool that knows your business and a chat window you re-brief every morning.

It also underpins the article writer. Long-form Arabic generated from a model's general knowledge is where factual drift shows up fastest; generating from sources you attached is a meaningfully different proposition, and the workspace shows which sources fed a given piece.

Brand profile counts are what the paid tiers actually ration, alongside credits — one profile on the free tier, more as you move up. For an agency running several clients, that is the number to check before anything else.

The Free Arabic Tools Around The Paid Product

Lahjty publishes a large set of free Arabic utilities that need no credits and, for many visitors, are the reason to arrive at all: tashkeel (adding or stripping diacritics), a dialect detector, hashtag and hook generators, an Instagram RTL fixer, a readability checker, an Arabic font pairer, a Hijri content calendar, and MENA ad-budget and influencer-rate calculators.

Treat them as a genuine resource rather than a funnel. Several — the RTL fixer and the tashkeel tool in particular — solve small, real problems that have nothing to do with generative AI and are awkward to do by hand.

They are also the cheapest way to judge whether the product understands Arabic properly before you spend a credit on anything.

A First Session On The Free Credits

The free tier grants a small one-off credit allowance — enough, by Lahjty's own reckoning, for roughly one complete campaign across copy, image and voice. Spend it deliberately, because it does not refresh.

1. Start in the free tools, not the composer. Run some of your existing Arabic copy through the dialect detector and the readability checker — if its reading of your own material is wrong, nothing downstream will be right.
2. Build one real brand profile before generating anything. Attach a live URL and a PDF you actually use, not placeholder text; the grounding is the part being tested.
3. Generate ad copy for your true target market, with the platform and tone set to the ones you really publish on.
4. Now the part that matters: put the output in front of a native speaker from that specific market. Not an Arabic speaker generally — a Saudi reader for Saudi copy.
5. Pass/fail step: ask them one question — does this read as written for them, or as translated into Arabic? If the answer is 'translated', the core promise has failed for your use case and no amount of credits will change it.
6. If it passes, generate one image with Arabic text rendered in and inspect the lettering character by character. Arabic script joins, and generators that handle Latin text cleanly often mangle the joins.
7. Finish with one voice generation from the approved copy, and listen for the accent rather than the audio quality.

How Lahjty Charges, And What Refreshes Monthly

Credits, on a subscription, with two properties that behave differently. Plan credits refresh every month and do not accumulate; separately purchased top-ups persist while the account remains active. Mixing the two is how most credit products confuse people, and Lahjty at least states the distinction plainly on the pricing page.

The tiers ration two things at once — monthly credits and brand profiles — and for agencies the profile count usually binds first. A free tier grants a one-off credit allowance, one brand profile and a single article a month, with no API access and no top-ups. Paid tiers scale credits and profiles together, adding Partner API access partway up and priority support at the top, with a custom Enterprise arrangement above that. Billing is monthly or annual, with the annual option discounted.

AInexfinder does not publish plan amounts because vendor pricing changes without notice — the pricing page is the only current source. What is worth noting structurally is that the free tier is a genuine trial rather than a permanent free product: the credits arrive once.

Partner API, MCP And The Developer Surface

This is where Lahjty is unexpectedly ahead of its size. Beyond a Partner API on the higher tiers, it publishes an MCP server — the protocol that lets an AI assistant call a tool directly — plus OpenAPI documentation and an llms.txt describing the product to crawling models.

For an agency, the API is what turns this from a workspace someone logs into a step inside an existing content pipeline. For a product team, the MCP server means Arabic generation can be handed to an assistant already running in a developer's editor.

It is also a signal about the roadmap. A team publishing OpenAPI docs and an MCP server this early is building for integration rather than for sign-ups alone.

Arabic Marketing Terms Used On This Page

Five terms this product assumes you know, and that decide whether its output is any good.

MSA (Modern Standard Arabic)

The formal written standard used in news, government and education. Universally understood, natively spoken nowhere. It is the default output of most general-purpose models, and the reason translated Arabic advertising so often lands flat.

Dialect (لهجة)

The spoken varieties — Saudi, Emirati, Egyptian and many more — that differ from MSA and from each other in vocabulary, rhythm and idiom. Lahjty's name is the Arabic word for 'my dialect', which is the whole positioning in one word.

Tashkeel

The diacritical marks that indicate short vowels in Arabic script. Usually omitted in everyday writing, but needed for disambiguation, for correct text-to-speech pronunciation, and in religious or educational material. Lahjty offers adding and stripping them as a free tool.

RTL

Right-to-left text direction. Arabic runs right to left, which breaks layouts, truncates captions and scrambles mixed Arabic-and-Latin strings on platforms built left-to-right — a recurring practical problem that has nothing to do with the quality of the writing.

MCP server

Model Context Protocol — a standard that lets an AI assistant call an external tool directly rather than through a browser. Lahjty publishing one means its generation can be driven from inside an assistant, in the same way a coding agent calls tools in Warp or a similar environment.

Lahjty Coverage, Outputs And Limits