Caught before publishing, not after
The edtech company's near-duplicate paragraph gets flagged and fixed before the post goes live, rather than discovered weeks later once it's already been indexed and read.
Coming soonCopywriter
Check copy for originality
The business can publish generated copy knowing it isn't an accidental near-copy of something already online.
Works with
What it does
How Lekha handles this
Before a draft is marked final, Lekha checks the text against public web content and flags any passages that closely match existing sources. Flagged passages are highlighted with a similarity percentage so the user can rewrite just that section.
An edtech company publishes a blog post its marketing intern drafted with heavy AI assistance, and three weeks later discovers a paragraph reads almost identically to a competitor's published article — not because anyone copied deliberately, but because generated text can converge on very similar phrasing to something already online without anyone intending it. By the time it's noticed, the post has been live and indexed for weeks.
Before a draft is marked final, this checks the text against public web content and flags any passage that closely matches an existing source, highlighting it with a similarity percentage so only that specific section needs rewriting rather than the whole piece being scrapped and started over from nothing.
Where check copy for originality happens
Lekha runs this directly on the platforms your customers already use — no separate app for them to install.
- WordPress
- Google Docs
- Notion
- Canva
How it works
Step by step
- 01
Submit the finished draft
Run a piece of copy through the check once it's considered close to final, comparing it against a web-scale index of existing published content to look for close matches anywhere in the text before it goes anywhere near publication.
- 02
Matches carry a similarity score
Any passage that closely resembles existing published text is flagged with a percentage indicating how close the match is, rather than a blanket pass-or-fail verdict for the entire draft, so a strong original piece isn't discarded over one borrowed-sounding line.
- 03
Only the flagged section needs fixing
Because matches are shown at the passage level, rewriting the specific flagged sentence or paragraph resolves the issue without discarding the rest of a draft that was genuinely original to begin with and didn't need any changes at all.
- 04
Boilerplate can be marked acceptable
A flagged match on standard, expected phrasing — a common industry disclaimer, say — can be marked as acceptable so it isn't repeatedly re-flagged as a problem on every future check of similar content run afterwards for the same brand.
Why it matters
What you get out of it
Fix the passage only
A similarity flag points to the specific matching section, so only that part needs rewriting instead of scrapping an otherwise original draft entirely from scratch.
Fewer repeat false alarms
Marking a flagged match as acceptable boilerplate once means standard, expected phrasing doesn't keep triggering the same alert on every future check of similar content.
The detail
What to know before you rely on it
This check depends entirely on a third-party web-similarity service, since building a reliable, web-scale originality index in-house isn't realistic here — the accuracy and coverage of any result is bounded by whatever that underlying service can actually see and compare against. A passage matching something on a site the index doesn't cover well simply won't be flagged, so a clean result is meaningful but not an absolute guarantee nothing similar exists anywhere on the web; it's a guarantee relative to what the index can check.
False positives on common, expected phrasing are a real and recurring pattern worth planning for, not treating as a rare annoyance. Standard legal disclaimers and widely used industry phrasing will often match something else online purely because that phrasing is genuinely common across an entire industry, not because either piece copied the other. The "mark as acceptable boilerplate" option exists because re-flagging the same disclaimer on every check trains a team to start ignoring flags altogether — risking a genuine match being missed once nobody's paying attention anymore.
A check run at high volume also carries a real, direct per-check cost from the underlying service, scaling with usage in a way worth factoring into how this is used — checking every minor edit to a long-running draft adds up differently than checking once on a finished piece before publishing. Reserving the check for drafts genuinely close to final keeps the cost proportional to the actual risk being managed.
Industry use cases
Where this earns its keep
6 industries where Lekha applies this directly.
Lekha drafts outreach emails, LinkedIn posts, and case-study-style copy that stay consistent with the company's brand voice across every salesperson sending them.
A 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 playbookLekha drafts marketing copy for financial products while automatically routing any statement about returns, rates, or guarantees to a compliance reviewer before it can be published.
A 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 playbookLekha drafts course-description copy, enrollment email sequences, and SEO blog content aimed at parents and students researching options.
A 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 playbookLekha helps a solo operator produce client-ready copy quickly across formats without hiring a separate copywriter.
A 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 playbookLekha drafts patient-facing communication and clinic marketing copy while routing any health-outcome claim to a licensed staff member for sign-off before it goes live.
A 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 playbookLekha lets an agency maintain a separate brand-voice profile per client and generate on-brand copy for each account without mixing up tone between clients.
An 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 playbookMore from Lekha
Everything else it handles
Learn and apply brand voice
The business gets copy that consistently sounds like them, in every language, without re-explaining tone in every prompt.
Learn moreGenerate copy for any channel
The business drafts a usable first version of an ad, caption, email, or product description in seconds instead of starting from a blank page.
Learn moreAdjust tone per piece
The business can dial a single draft from formal to playful (or vice versa) without rewriting it from scratch.
Learn moreWrite in Hindi and Hinglish
The business reaches Hindi-speaking and code-mixed audiences with copy that reads naturally, not like a literal translation.
Learn moreTranslate existing content
The business turns one piece of English copy into ready-to-use versions in other languages without hiring a translator for routine content.
Learn moreWrite seo-ready articles
The business gets a blog post or landing page draft built around a target keyword, ready to publish with minimal editing.
Learn moreQuestions
Straight answers.
If it comes back clean, does that guarantee our content is completely original?
It's a strong signal, but not an absolute guarantee — the check is bounded by what the underlying third-party web index actually covers, so a passage matching something the index doesn't see well simply won't be flagged. A clean result means no close match was found within what the service can check, which is meaningful but not the same as certainty that nothing similar exists anywhere online.
Why does it keep flagging our standard disclaimer text as a match?
Common, widely used phrasing — a standard legal disclaimer, common industry terminology — will often match something else online purely because that phrasing is genuinely shared across an entire industry, not because anything was actually copied from anywhere. Marking that specific flagged passage as acceptable boilerplate once stops it from being re-flagged as a problem on every future check going forward.
Should we run this check on every draft as we write it, or just once at the end?
Running it once a draft is genuinely close to final is usually the more sensible approach, since each check carries a real per-check cost from the underlying third-party service, and that cost scales directly with how often it's run. Checking every minor intermediate edit along the way adds cost without adding much real value compared to one thorough check just before a piece is about to be published.
What should we actually do with a flagged passage — rewrite it, or is it fine to leave as is?
A genuine similarity flag on non-boilerplate text is worth rewriting before publishing, since the whole purpose of the check is catching an accidental near-duplicate before it goes live and creates a real problem later. Because the flag points to the specific passage, not the whole draft, the fix is usually a targeted rewrite of just that section rather than reworking an otherwise original piece from scratch.
The rest of your stack
It plugs into what you already run.
Lekha connects to your tools
No rip-and-replace — check copy for originality works alongside the systems already running your business.
- X
- MailChimp
- Webflow
- Shopify
- OpenAI
- Google Drive
- Figma
Coming soon