Paste any customer review and AI detects whether it is fake and its emotional sentiment.
It is a free AI tool that reads customer reviews and reveals the real emotion behind the words rather than just the star rating. A review can be five stars and still contain a quiet complaint, or three stars from someone who actually liked the product but had one bad delivery experience. Sentiment analysis separates what customers say from what they feel, showing praise, frustration, disappointment, relief or sarcasm. That gap between the rating and the emotion is usually where the useful business insight lives. 🎯
It can flag reviews that show the typical fingerprints of fake or paid feedback. Genuine reviews carry specific detail and uneven emotion: someone mentions the exact problem, the day it happened, or one thing they loved and one that annoyed them. Fake reviews tend to be flat, generic and oddly balanced, praising everything without naming anything concrete, or repeating the product name in a way real customers never do. The AI highlights those patterns so you know which reviews deserve weight and which look manufactured. It is a strong signal, not proof, so use it to prioritize what to check further. 🕵️
It detects joy, anger, sadness, fear, surprise and disgust, plus the review-specific tones that matter commercially: disappointment, sarcasm, resignation, relief and the polite frustration that hides behind phrases like it was fine or does the job. That last category is the most valuable one. Customers who are mildly unhappy rarely say so directly, they just quietly stop buying. Seeing that muted frustration across dozens of reviews tells you about a problem long before it shows up in your ratings or your revenue. 🎭
Yes, it is 100% free with no account, no credit card and no limit on how many reviews you analyze. You can paste a single review or a whole batch pulled from your store, marketplace or support inbox. Nothing is stored on our servers, so analyzing customer feedback does not mean handing your data to another platform. There is no trial that expires and no locked premium tier, because the tool is meant to be useful to a solo seller with twenty reviews as much as to a team with two thousand. 🎉
Yes. The AI reads reviews in many languages and detects the emotional tone in each one, which is essential if you sell across several markets. This matters more than it sounds, because politeness norms differ sharply by language and culture. A German review often reads as blunt by American standards while being perfectly neutral in intent, and a Japanese review may express serious dissatisfaction in wording that looks mild in translation. The model accounts for those differences rather than judging every review against English-language directness. 🌍
Stars compress a whole experience into one number, and that number hides almost everything useful. A four-star review can contain a serious complaint from someone who was being generous, while a two-star review might come from a loyal customer who is frustrated precisely because they care. Sentiment analysis reads the actual words and shows you the feeling behind them, so you learn what to fix rather than just how you scored. Across many reviews it also surfaces patterns, letting you see whether the same quiet complaint keeps repeating. ⭐