Reads native, not translated
A Hinglish caption written for the home décor brand's audience sounds like something a person from that audience actually wrote, not an English pitch run through a translator.
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See all nineteenThe business reaches Hindi-speaking and code-mixed audiences with copy that reads naturally, not like a literal translation.
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What it does
The user selects a target language, including Hindi, major regional languages, or Hinglish, and Lekha generates copy natively in that register rather than translating word-for-word from English. Devanagari and Roman-script Hindi are both supported as separate output options.
A home décor brand's Instagram audience reads and writes in Hinglish, not textbook Hindi, and a literal translation of an English caption into formal Devanagari lands like a government notice rather than a friendly nudge to buy cushion covers. "Best price" translated word for word doesn't carry the same casual pitch a Hinglish caption does, and there's no single agreed spelling for half the words that make Hinglish sound natural in the first place.
This capability writes natively in the target register rather than translating from an English draft underneath. Hindi, major regional languages, and Hinglish are each generated as their own piece of writing, with Devanagari and Roman-script Hindi offered as separate choices, so a caption written for a Hinglish audience actually reads like something a person from that audience would write themselves.
Lekha runs this directly on the platforms your customers already use — no separate app for them to install.
How it works
Select Hindi, a regional language, or Hinglish, and choose Devanagari or Roman script for Hindi specifically, since the same content reads very differently depending on which script the audience actually expects to see it written in day to day.
Lekha writes directly in the chosen language and register rather than drafting in English first and translating afterwards, avoiding the stiff, literal phrasing that word-for-word translation tends to produce, particularly for idioms and sale-pitch language that doesn't survive a direct conversion.
The business can set preferred spellings and terms at the organisation level, so "offer" doesn't get spelled three different ways across three different captions written for the same brand, which matters most in Hinglish, where no single spelling standard actually exists to fall back on.
A post-processing pass catches and fixes inconsistencies where Devanagari and Roman script have mixed inside one piece of copy in a way that reads as sloppy rather than deliberately code-mixed, which matters most in a caption meant to feel natural rather than accidental.
Why it matters
A Hinglish caption written for the home décor brand's audience sounds like something a person from that audience actually wrote, not an English pitch run through a translator.
An organisation-level glossary keeps a term like "offer" or a product name spelled the same way every time, across every caption, instead of drifting post to post.
The same underlying message can go out in English, Hindi, and Hinglish without three separate writers each interpreting the tone differently, keeping the pitch coherent across every language a customer might actually read it in.
The detail
Quality here isn't uniform across languages, worth knowing before relying on this for anything sensitive. Fluency is strongest in Hindi and the more widely used regional languages, and noticeably weaker in less-common regional languages and in technical or regulated vocabulary — a casual Hinglish sale caption and a Marathi description of a medical procedure's risks are not equally safe bets for the same tool, and the second deserves a native speaker's review regardless of how confident the draft reads.
Hinglish specifically has no single spelling standard, which means "consistency" has to be defined by the business, not assumed from the language itself — the glossary feature exists because two equally correct Hinglish spellings of the same word will otherwise appear across different captions and read as careless rather than intentional. A brand that cares about this needs to actually set and maintain that glossary; without it, drift is the default, not the exception.
Idiom is where literal thinking causes the most visible damage, even inside native generation. A phrase that works perfectly in English can translate into something flat, confusing, or unintentionally funny elsewhere even when every individual word is technically correct — this is why native generation is used instead of translating a finished English draft, but it's not a complete guarantee against every awkward phrase slipping through, particularly for less common languages. A native speaker's quick read-through before anything goes out publicly, especially for a first campaign in a new language, catches what an automated pass alone might miss.
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 turns one piece of English copy into ready-to-use versions in other languages without hiring a translator for routine content.
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
No — fluency is generally strongest in Hindi and the more widely used regional languages, and weaker in less-common ones and in technical or regulated vocabulary specifically. A casual social caption in a well-supported language is a safer bet than a detailed, specific claim in a less common one, and the latter deserves a native speaker's review before it's used anywhere important to the business.
Hinglish has no single agreed spelling standard, so without a set preference, two equally valid spellings of the same word can appear in different pieces of copy for the same brand. Setting an organisation-level glossary of preferred spellings and terms is the fix, and it's worth actually maintaining rather than leaving as an unused default setting nobody ever revisits once it's first configured.
It generates natively in the target language rather than translating a finished English draft word for word, which avoids most literal-translation problems, but an idiom or culturally specific phrase can still occasionally land awkwardly even in native generation, particularly in less common languages. A quick native-speaker read before a first campaign in a new language is the practical safeguard against this.
Yes, script is a separate choice from language, so the same message can be generated in either Devanagari or Roman-script Hindi depending on which one the target audience actually expects and reads comfortably day to day. Many businesses choose based on where the audience is likely reading — a formal document leaning Devanagari, a casual WhatsApp broadcast often leaning Roman script for that same brand.
The rest of your stack
No rip-and-replace — write in hindi and hinglish works alongside the systems already running your business.
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