Feedback before publishing
See readability, engagement, tone and AI-likeness signals before content reaches a customer or search engine.
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Featured project · AI content platformSujay Tech demo
Better content decisions, before the publish button.
LekhIQ is a content analysis and humanisation platform built to help writers, marketers and teams understand what a draft is doing and improve it without losing the voice, terminology or intent behind it.
24+ analysis metrics3 transformation modes8 professional tones
Built for
Content teams
Create with clarity
SEO writers
Optimise every draft
Agencies
Scale quality faster
Brand managers
Keep voice on-brand
Why this product exists
Content tools often solve one slice of the problem.
One tool checks grammar. Another checks SEO. A third rewrites the copy. The writer is left stitching together feedback, protecting important terms and trying to remember which version is current.
LekhIQ brings those decisions into one connected workflow. It helps a team understand a draft, improve it with a deliberate tone, and keep a record of how the content changed.
The goal is not to replace the writer. It is to give the writer better signals, a faster iteration loop and more control over the final result.
Practical benefits
One workspace from first draft to confident publish.
The value is in the connected flow: fewer handoffs, clearer feedback and a repeatable standard for content quality.
A more natural brand voice
Choose an intensity and professional tone to move from stiff or generic copy toward writing that feels intentional.
SEO guidance in the same workflow
Review keyword, heading, length, linking and readability signals without splitting the work across separate tools.
Protect what must stay intact
Named entities, protected keywords, technical terms and brand language remain part of the transformation brief.
Start with the files you already have
Bring TXT, DOCX or PDF content into the workflow instead of manually converting and copying it between tools.
Keep the content trail
Analysis and transformation history makes it easier to compare versions, recover earlier work and understand decisions.
How it works
A simple pipeline with useful depth underneath.
The interface stays approachable while the underlying workflow handles extraction, analysis, transformation and history.
01
Capture the content
Users paste content or upload a document. The extraction layer parses the source while keeping the useful structure available for analysis.
02
Analyse the writing
The analysis pipeline calculates quality, readability, engagement, AI-likeness and SEO signals to turn a draft into a practical review.
03
Humanise with intent
A selected intensity and tone guide the transformation, while brand voice, protected keywords and named entities stay in scope.
04
Compare and improve
Results are stored with version history so teams can compare iterations, learn from changes and return to an earlier result when needed.
How we built it
A product architecture designed for fast feedback and maintainable growth.
LekhIQ combines a responsive interface, server-side processing, validated data and AI-powered analysis.
Input layer
TXT, DOCX and PDF extraction with structure-aware parsing.
Analysis layer
Quality, AI-likeness and SEO metrics turned into clear signals.
Transformation layer
Intensity and tone controls with preservation rules.
History layer
Stored analyses and versions for comparison and retrieval.
Technology stack
FrontendNext.js 16, React 19, TypeScript and Tailwind CSS
BackendNext.js API routes and server-side processing
AI engineGoogle Gemini API for language analysis and transformation
DataSupabase for scalable storage and history
ValidationZod schemas for reliable input and output contracts
QualityVitest-based unit coverage and end-to-end verification
Explore the project
See the idea in action.
LekhIQ is a Sujay Tech demo project: a concrete example of how we turn a content workflow into a focused, useful product experience.