Routine translation, handled fast
The tour operator gets a Hindi version of the Kerala package description without commissioning a translator for every routine piece of content that needs one.
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In build
The whole team
Nineteen specialists, each with a defined job and an honest status label.
See all nineteenThe business turns one piece of English copy into ready-to-use versions in other languages without hiring a translator for routine content.
Works with
What it does
The user pastes or selects existing text and picks one or more target languages, and Lekha returns a natural, brand-voice-consistent translation rather than a literal one. The original and translation are shown side by side for a quick accuracy check.
A tour operator has one polished English description of a Kerala backwaters package and needs it in Hindi for a domestic audience — but the person who wrote the original isn't the person translating it, and a word-for-word conversion risks flattening the pitch or, worse, quietly changing what's actually being promised about the package's inclusions.
This takes existing text and produces a natural translation rather than a literal one, in one or more target languages at once, and shows the original and the translation side by side so a quick read catches anything that shifted in meaning. It's built for turning finished English copy into ready-to-use versions elsewhere, not for drafting something new.
Lekha runs this directly on the platforms your customers already use — no separate app for them to install.
How it works
Start with a finished piece of English copy — a package description, a product page, an email — that already says exactly what the business wants and only needs a language change, not a rewrite.
Pick the languages needed, and Lekha translates the same source into each of them in a single pass, useful when the same content needs to go out in Hindi and a regional language together for a mixed domestic audience.
Rather than a literal, word-for-word conversion, Lekha aims for a version that reads as something written for that language's audience, staying consistent with any saved brand voice and avoiding the stiff, obviously-translated tone that a mechanical conversion typically produces.
Both versions are shown together for comparison, making it straightforward to check that a specific detail — an inclusion, a date, a price — reads the same way in both languages before it's used anywhere.
Why it matters
The tour operator gets a Hindi version of the Kerala package description without commissioning a translator for every routine piece of content that needs one.
A translation aimed at meaning rather than literal wording avoids the stiff, obviously-translated tone that makes copy feel foreign to the audience reading it, particularly for a tour package pitch that needs to feel like a genuine invitation.
The side-by-side view makes it quick to confirm that what's promised in the original is still what's promised in the translation, rather than trusting the conversion blind.
The detail
Translation is not immune to the quality variation affecting generation more broadly, and low-resource regional languages carry more risk of a subtle mistranslation than Hindi or a widely spoken regional language does. The side-by-side comparison exists precisely because a translated line can read fluently and still say something meaningfully different from the source — a package described as including breakfast in English and, through an imprecise translation, reading as ambiguous about it in Hindi is a real, checkable risk, and the kind of error a fluent-sounding translation won't announce on its own.
An optional back-translation check — translating the result back into the source language as a rough fidelity pass — can catch some of this, but it adds another step and isn't a substitute for a bilingual read-through. It's a useful extra signal, not a guarantee, and treating a clean back-translation as proof the forward translation is fully accurate skips that both passes share the same blind spots.
For anything regulated — a loan product's terms, a health claim, a legal notice — a translated version needs checking by someone who can verify the regulated meaning survived the language change, not just that the sentence reads naturally. A translation that unintentionally softens or alters a specific term or condition is a compliance problem dressed up as a language problem, and the businesses most exposed to it — finance, health, anything with a formal contractual promise — are exactly the ones that should route translated copy to human review before publishing, regardless of how fluent the output looks.
Industry use cases
13 industries where Lekha applies this directly.
A used-car dealer pastes the make, model, year, and mileage for a new arrival, and Lekha drafts a listing description plus a short social caption, both flagging that any claim about condition or history beyond the given facts needs the dealer's own confirmation before posting.
See the automotive playbookA sales manager sets up a persona for "IT decision-maker at a mid-size manufacturer," and every rep on the team generates cold-email drafts from the same persona so outreach feels coordinated rather than ad hoc.
See the b2b sales playbookA regional NBFC drafts a loan-product social post, and Lekha flags the line mentioning an interest rate range as a regulated claim, holding the post in a pending-review queue until the compliance officer confirms the number matches the current approved rate sheet.
See the banking and finance playbookA skincare brand uploads its full product line as a spreadsheet with ingredients and benefits per item, and Lekha generates a description and a caption for each product in one bulk run instead of one at a time.
See the beauty and cosmetics playbookA test-prep institute asks Lekha for a blog post targeting the keyword "best online coaching for class 10 boards," and Lekha returns a structured draft with headings and an FAQ section, with any specific outcome claim about pass rates flagged for the institute to verify before publishing.
See the education playbookA freelance interior consultant uses Lekha to turn one client project photo caption into a LinkedIn post, an Instagram caption, and a one-line portfolio blurb, all in the same evening.
See the freelancers and consultants playbookA physiotherapy clinic drafts a social post about a new treatment offering, and Lekha flags the phrase implying guaranteed pain relief as a health claim needing review, holding it until the treating physiotherapist approves the wording.
See the health and wellness playbookA furniture retailer uploads a new collection's specs and Lekha drafts descriptions for the e-commerce listing plus a matching Instagram caption set, keeping material and dimension details exactly as supplied.
See the home decor and furnishing playbookAn agency managing five retail clients keeps five separate brand-voice profiles in Lekha, so the same campaign-brief-to-assets workflow produces distinctly different-sounding output for each client from the same underlying template.
See the marketing agencies playbookA broker pastes a property's square footage, bedroom count, and location, and Lekha drafts a listing description and a short email to interested buyers, both built strictly from the supplied facts.
See the real estate playbookA restaurant launching a new seasonal menu pastes the dish names and ingredients, and Lekha generates a description for each dish plus a launch-announcement caption, ready to review before the menu print deadline.
See the restaurants and food playbookA day spa asks Lekha to write copy for a new facial package, and Lekha drafts the description but flags a line implying a specific skin-improvement result as needing the owner's confirmation before it's used in an ad.
See the spas and salons playbookA tour operator asks for a Kerala backwaters package description in both English and Hindi, and Lekha produces two natural-reading versions rather than a literal translation of one into the other.
See the travel and tourism playbookMore from Lekha
The business gets copy that consistently sounds like them, in every language, without re-explaining tone in every prompt.
Learn moreThe business drafts a usable first version of an ad, caption, email, or product description in seconds instead of starting from a blank page.
Learn moreThe business can dial a single draft from formal to playful (or vice versa) without rewriting it from scratch.
Learn moreThe business reaches Hindi-speaking and code-mixed audiences with copy that reads naturally, not like a literal translation.
Learn moreThe business gets a blog post or landing page draft built around a target keyword, ready to publish with minimal editing.
Learn moreThe business knows before publishing whether a page is likely to rank, and gets specific fixes instead of a vague score.
Learn moreQuestions
Yes, this is the core risk with any translation, automated or human — a line can read fluently in the target language while subtly shifting what it actually commits to, particularly around inclusions, conditions, or numbers. The side-by-side view exists specifically so this can be checked, and it's worth actually doing that check rather than trusting a fluent-sounding result on its own.
It's a useful additional signal, not a full guarantee — back-translation runs through the same kind of process as the forward translation and can share its blind spots, so a clean-looking back-translation doesn't fully rule out a subtle meaning shift. A genuine bilingual read-through by a person is the more reliable check, particularly for anything with a specific promise or condition attached to it.
Yes, strongly. Regulated content — loan terms, health claims, legal notices — carries real risk if a translation unintentionally softens or alters a specific condition, even slightly, and that kind of error is a compliance issue, not just a stylistic one. This is exactly the category of content where a fluent translation still needs a human who understands both the language and the regulation to sign off before it's published anywhere.
Yes, one source text can be translated into multiple target languages in a single pass, which is useful when the same package or announcement needs to go out in Hindi and a regional language together for a mixed audience. Each translation still deserves its own side-by-side accuracy check rather than assuming that because one language came out well, the others did too.
The rest of your stack
No rip-and-replace — translate existing content works alongside the systems already running your business.
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