AI-Powered Rental Scam DetectionAnalyzes URLs, Screenshots and WhatsApp Conversations
Built for Portugal 🇵🇹Supports Portuguese, English and Brazilian Portuguese

Stop Rental Scams
Before You Lose Money

Combining artificial intelligence, rental market data and fraud detection patterns to identify potential scam risks.

Paste a listing URL, upload a screenshot, or paste a rental message to receive a scam risk and local pricing assessment.

You can analyze listing URLs, WhatsApp messages and screenshots in Portuguese, English or Brazilian Portuguese.

Some property sites restrict automated access. If the URL cannot be read, upload a screenshot or paste the listing text.

Supported websites are automatically detected.

Potential Risk • Red Flag Detected • Further Verification Recommended

AI + scam pattern recognition

How RentScamLens AI Analysis Works

Every check combines artificial intelligence with known rental scam patterns to review the evidence you provide.

  • Listing descriptions

    Wording, missing details and scripted phrases common in fake adverts.

  • Property URLs

    Listings imported from supported Portuguese property websites.

  • Screenshots

    Text read from images of listings, profiles and chats.

  • WhatsApp conversations

    Pressure, payment requests and excuses to avoid viewings.

  • Facebook Marketplace listings

    Marketplace-specific patterns such as new seller profiles.

  • Pricing anomalies

    Rent compared with local market references, down to parish level.

  • Landlord behaviour patterns

    Claims of living abroad, keys by courier and refusal to verify identity.

  • RentScamLens combines AI analysis with rental fraud detection patterns to help identify potential risks before users send money.

Localization

Built for the Portuguese rental market

Market Model: Portugal 🇵🇹

Supported languages

  • Portuguese
  • English
  • Brazilian Portuguese

Supported analysis

  • Rental listings
  • WhatsApp conversations
  • OCR screenshots
  • Local Pricing Analysis
Note: Local Pricing Analysis currently uses Portuguese rental market references.
About RentScamLens

Know before you pay

Rental scams cost renters millions every year. RentScamLens is a free tool that helps you review suspicious listings and messages using a transparent, rule-based scoring system.

Pattern Detection

We check the text you paste against nine common rental scam patterns — from payment before viewing to keys shipped by courier.

Private by Design

Everything runs in your browser. Nothing you paste is stored, sent to a server, or shared with anyone.

Built for Renters

Whether you're moving to a new city or looking for your first flat, RentScamLens helps you spot risk signals before you pay.

Frequently asked questions

What is RentScamLens?

RentScamLens is a free rental scam detection tool. It analyzes rental listings, screenshots and property advertisement URLs for common fraud indicators before you send any money.

Is RentScamLens free to use?

Yes. RentScamLens is free, requires no login and does not store the listings or messages you analyze.

What can I analyze?

You can paste a listing URL from supported property websites, upload one or more screenshots, or paste the text of a listing, landlord message or WhatsApp conversation.

Does a low score mean a listing is safe?

No. The score is an informational risk assessment. Always view the property in person, verify the landlord's identity and use traceable payment methods.

Disclaimer

RentScamLens provides a heuristic risk assessment based on common rental scam patterns. The results are informational only and do not constitute legal, financial, or professional advice.

A low score does not guarantee that a listing is legitimate, and a high score does not mean a listing is definitely a scam. We use the terms Potential Risk, Red Flag Detected, and Further Verification Recommended to describe our findings.

Always verify the landlord's identity, view the property in person, and use secure, traceable payment methods before sending any money or personal documents.