Upload a screenshot or paste a message to instantly analyze the conversation for toxicity, red flags, manipulation, gaslighting, emotional abuse, and toxic communication patterns.
Not sure whether someone is really being toxic or if it just feels that way? Get a second opinion with AI-powered text analysis.
See what’s really behind the words
Our smart text analyzer looks for subtle signals that are often hard to notice at first glance. It can identify passive-aggressive language, guilt-tripping, love bombing, defensiveness, emotional pressure, and other signs of unhealthy communication.
Get a toxicity score
Each message or conversation gets an unbiased toxicity assessment, plus a clearer view of the emotional tone. Use it to understand whether a chat contains possible red flags or simply a misunderstanding.
Built for real-life situations
Use the app when chatting with a partner, friend, or coworker. It helps you:
Detect red flags in text messages.
Identify toxic communication patterns.
Spot possible manipulation or gaslighting.
Get a second opinion before you reply.
Understand the emotional tone behind a message.
Why this app helps
Texts can be confusing. Sometimes a message feels off, but it’s hard to know why. This app gives you a fast and objective way to review the conversation and better understand what is being said — and what may be implied.
Private and secure
Your uploads are processed anonymously and are never shared. You can check messages with total privacy and confidence.
How it works
Upload a screenshot or paste your chat.
Let the AI analyze the text.
Review the toxicity level, red flags, and detailed insights.
Make a more informed decision before responding.
Perfect for:
Relationship text analysis.
Spotting toxic text.
Checking for emotional manipulation.
Reviewing messages before replying.
Getting clarity in difficult conversations.
Terms of Use:
https://www.apple.com/legal/internet-services/itunes/dev/stdeula/
What's new (v5.0.0)
- new loading page
- app name under icon
- splash screen
- app adjust for each user analysis