LeaseLens – AI-Powered Lease Agreement Analyzer
AI-powered LeaseLens analyzes residential leases, extracts clauses, compares norms, and explains risks through clear reports.
Project overview
What this project is about.
LeaseLens is an AI-powered web application that helps users understand residential lease and leave-and-licence agreements. Lease documents often contain lengthy legal language, complex clauses, and jurisdiction-specific conditions that can be difficult for tenants, property owners, and students to review.
Users can upload a lease agreement in PDF, PNG, or JPEG format and select the relevant jurisdiction. LeaseLens extracts the document text using direct PDF extraction or OCR for scanned documents. It then identifies and categorizes important clauses such as rent, security deposit, notice period, termination, maintenance, renewal, utilities, restrictions, and other essential conditions.
The application compares each extracted clause with curated jurisdiction-specific norms. It generates a structured report containing a deviation score, an overall summary, severity classifications, original clause text, plain-English explanations, reasons for flagged clauses, and the norms used for comparison.
LeaseLens classifies clauses into three primary categories: Normal, Worth Noting, and Red Flag. This allows users to quickly identify clauses that appear consistent with the selected norms, require clarification, or deserve careful review.
The platform includes a complete analysis workflow with document upload, extraction progress, clause segmentation, norms lookup, AI analysis, report generation, document history, retry support, and transparent norms inspection. It currently supports Maharashtra and Andhra Pradesh jurisdictions and is designed to support additional regions in the future.
The project combines artificial intelligence, document processing, OCR, web development, and database technologies into a practical legal-technology demonstration. It is intended for educational and informational purposes only. LeaseLens does not provide legal advice, determine whether an agreement is legally valid, or replace consultation with a qualified legal professional.
Key features
- AI-powered lease clause extraction
- Plain-English clause explanations
- Jurisdiction-specific norms comparison
- Support for PDF, PNG, and JPEG documents
- OCR support for scanned lease documents
- Deviation score calculation
- Normal, worth noting, and red flag classifications
- Clause-level original text and evidence display
- Analysis progress tracking
- Document history
- Norms and rules transparency
- Re-analysis and retry support
- Responsive web interface
- Legal disclaimer and responsible AI guidance
Technology stack
PythonFastAPIReactViteJavaScriptPostgreSQLSQLAlchemyAlembicGroq APILarge Language Model analysisPDFPlumberPDF2ImageTesseract OCRPopplerPydanticPyYAMLHTML5CSS3
Usage and use case
1. Upload a residential lease document in PDF, PNG, or JPEG format.
2. Select the applicable jurisdiction.
3. Allow LeaseLens to extract and analyze the document.
4. Review the deviation score and summary report.
5. Filter clauses by Normal, Worth Noting, or Red Flag severity.
6. Review the original clause text, explanations, and applicable norms.
Requirements
Python 3.11 or 3.12
Node.js 20 or newer
PostgreSQL 16 or newer
Docker Desktop, optional
Tesseract OCR
Poppler with pdftoppm
Groq API key
Windows, macOS, or Linux
Internet connection for live AI analysis
Project add-ons
Additional add-ons for this project.
Ask about project-specific add-ons through the ProjectVybe enquiry channel.
Documentation support
Create clear, well-structured project documentation covering implementation, technologies, features, methodology, and project outcomes.
Presentation support
Prepare professional project presentations that clearly explain your project idea, workflow, technologies, implementation, results, and key highlights.
Publication support
Get guidance in preparing and structuring project work for technical papers, research publications, and academic submission requirements.
1:1 mentorship
Get personalized guidance from project planning and technology selection to implementation, debugging, documentation, and final presentation.
Frequently asked questions
Questions about this project.
How can I ask about this project?
Use the enquiry button to share the project context and the kind of support you are looking for. ProjectVybe will review the enquiry and respond directly.
Is a demo available?
A YouTube demo has not been added for this project yet.
Can I request changes or additional support?
Yes. Describe your requested changes or learning goals in an enquiry so the ProjectVybe team can review them.
Are project add-ons available?
The available project add-ons are listed above and can be selected when you send an enquiry. Add-ons are enquiry-based; no online checkout or public pricing is provided.
How do I get started?
Review the project information, then use the enquiry button to send the details you would like to discuss.
RepoMap - Python Repository Intelligence & Codebase Analysis Platform
Map Python repositories into evidence-based onboarding guides, dependency graphs, histories, and PDF reports.
View project
HealthLens AI | AI-Powered Health Risk Screening
Explore HealthLens AI, an educational AI and machine-learning application for diabetes and heart disease risk screening, AI-assisted report analysis, and healthcare discovery.
View project
CareerMatch AI – Intelligent Resume Analysis and Job Matching System
CareerMatch AI analyzes resumes, scores ATS compatibility, matches job descriptions, and provides personalized career recommendations.
View projectBuild. Learn. Grow.
Ready to discuss this project?
Send ProjectVybe the project context you are exploring, or continue browsing the published catalogue.