A caption within the hour
The spa's new facial-package photo gets a ready caption fast enough to post while the moment — and the photo's freshness — still matters to an Instagram audience.
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The whole team
Nineteen specialists, each with a defined job and an honest status label.
See all nineteenThe business posts consistent, on-brand captions across platforms without staring at a blank composer box.
Works with
What it does
The user describes the post (a photo, an offer, an announcement) and picks the platform, and Lekha writes a caption sized and styled for that platform's norms, with relevant hashtags. Multiple variations are offered so the user can pick a favorite or mix lines from each.
A spa posts a photo of its new facial package and needs a caption within the hour, not after a considered afternoon of drafting — social moves fast, the post has to sound right for Instagram specifically, not read like a shortened email, and it needs hashtags that are actually current, not the same five tags the salon has reused since last year.
This is built for that speed: describe the post — a photo, an offer, an announcement — pick the platform, and get a caption sized and styled to that platform's norms, with hashtags attached, in variations to pick from or mix together rather than one single take to accept as-is.
Lekha runs this directly on the platforms your customers already use — no separate app for them to install.
How it works
Say what the post is about — a new facial package, a festive offer — and choose the platform, since Instagram, Facebook, and other channels each have their own norms for length and tone worth matching.
If a photo is attached, Lekha can read what's actually shown in it, so the caption reflects the real image — the facial package's setting, say — rather than a generic line that could apply to any post.
Multiple options are generated at once, styled for the chosen platform, giving the spa a favourite to pick outright or individual lines to mix from across the different variations offered, rather than settling for a single first attempt.
Relevant hashtags come with each caption variation, sized appropriately for the platform, as a useful starting point rather than a guaranteed reach driver on their own, since platform trends shift faster than any static suggestion list can reliably track.
Why it matters
The spa's new facial-package photo gets a ready caption fast enough to post while the moment — and the photo's freshness — still matters to an Instagram audience.
A caption styled for Instagram doesn't read like a trimmed email, matching the casual, quick-scroll tone the platform's audience actually expects from a post that's competing for attention against dozens of others in the same feed.
Several variations at once mean picking a favourite outright or combining the strongest lines from each, rather than settling for whatever the single first draft happened to produce.
The detail
Vision-enabled captioning — reading an attached photo to ground the caption in what's shown — is genuinely useful for avoiding a generic line that could sit under any photo, but it also means the caption is only as good as what the model correctly identifies in the image. A photo with poor lighting or an ambiguous shot can produce a caption that describes the wrong thing confidently, worth a quick glance before posting rather than assumed correct simply because an image was attached.
Hashtags deserve treating as a starting point precisely because platform trends shift continuously, and a set that performed well six months ago may be stale or no longer what the platform's algorithm favours today — this tool suggests relevant tags based on the post's content, but it isn't tracking live platform trend data, and a suggestion should be sense-checked against what's currently active rather than trusted as guaranteed reach on its own merit.
The speed this is built for is also its main limitation: a caption drafted in the time it takes to describe a photo hasn't been checked against the spa's actual current offers or pricing, and any specific detail mentioned — a price, a limited-time window, a result promised from the facial package — needs the same quick verification any other generated copy does before going out, however casual a social caption might feel compared to a longer piece of marketing copy.
Industry use cases
11 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 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 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
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Learn moreThe business reaches Hindi-speaking and code-mixed audiences with copy that reads naturally, not like a literal translation.
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 moreQuestions
Usually, but not guaranteed — a photo with poor lighting or an ambiguous shot can occasionally be misread, producing a caption that confidently describes something slightly wrong about the image the spa actually posted. A quick glance to confirm the caption actually matches what's shown is worth doing before posting, rather than assuming correctness just because a real photo was attached and processed.
They're relevant to the post's content, but this tool isn't tracking live, real-time platform trend data, so a suggested hashtag reflects general relevance rather than a guarantee it's currently performing well on the platform right now. Treating hashtags as a solid starting point to sense-check against current trends, rather than a guaranteed reach driver on their own, is the safer way to use them.
It can draft a caption implying that kind of outcome if asked to, but a specific wellness or skin-improvement result is exactly the category of claim that needs the spa owner's own confirmation before it's used, particularly in an ad rather than a plain caption. This overlaps with the regulated-claim review this suite offers elsewhere, and a claim like this shouldn't go out without that check.
No — it only knows what's in the brief supplied for that specific caption request, so a price or an offer window mentioned in the caption needs to match what's actually current at the time of posting it live. A caption drafted quickly still deserves the same quick check against real, up-to-date details as any longer piece of marketing copy would need before it goes out.
The rest of your stack
No rip-and-replace — write social media captions works alongside the systems already running your business.
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