좀 더 구체적인 관계를 설명해주시면 해석이 훨씬 명쾌해집니다. 궁금한 점도 함께 적어주세요.
Spend enough time in a group chat and you start to sense things. Your messages seem to disappear more often than others'. Someone else gets a reply every single time. Chat Analyzer finds the evidence for those hunches in your actual message history.
Upload an exported chat from KakaoTalk, LINE, or WhatsApp, and get a psychological profile of each participant along with the relationship structure of the room. How self-focused someone is, how socially attuned, and how people genuinely respond to them — all grounded in data.
A group chat looks like one shared room, but the experience inside it is rarely the same for everyone. One person drops a single line and three replies appear. Another writes a careful paragraph and the conversation moves on as if nothing was said. We usually explain this away as personality, but the chat log itself holds a far more specific answer.
Read the transcript closely and patterns emerge. Certain people reliably draw responses; others do not. Some receive replies whenever they speak but rarely answer anyone else. That directionality is something participants sense but almost never say out loud.
Chat Analyzer surfaces that structure with numbers attached. Nothing here is a mood judgement. Every figure comes from counting the actual order of messages and the responses that followed them.
Ignore rate measures how often you spoke and the topic simply moved on without anyone picking it up. When this runs high, timing and message length are usually more to blame than content. Brush-off rate tracks replies that were nothing but laughter or a one-word answer, which often signals that the other person did not want to continue.
The psychological profile rates self-regard, self-centredness, sociability, empathy and intellectual style on a five-point scale. To avoid unfounded claims, each rating is presented alongside the specific part of the conversation it was drawn from.
You will also see a predicted MBTI type, an inferred occupation, peak activity hours, characteristic vocabulary, how topics evolved over time, and the chemistry between participants.
Treat the output as a mirror rather than a diagnosis. A high ignore rate does not mean something is wrong with you. Room dynamics, how close the participants are, and the period the messages cover will all move the same person is numbers substantially.
The most useful approach is to focus on what you can actually change. If your messages get buried, try breaking them into shorter lines, or raising a topic when the room is already active. Those two adjustments alone often shift response rates noticeably.
And if your results come back flattering, take that at face value too. Finding a flaw in everyone would not make the analysis more accurate.
Uploaded chat files are never stored on our servers. Message counts, ignore rates, hourly distribution and every other statistic are computed inside your own browser, so the file itself never leaves your device.
When the AI commentary is generated, only the excerpts required for that analysis are transmitted, and they are discarded once processing completes. Results are retained only if you choose to create a share link, and those expire automatically after 90 days.
Full details are available in our privacy policy.
Free to use, no account required. Statistics are computed entirely in your browser and your original file is never stored.
조금만 기다려주세요!
대화에서 관찰된 패턴을 요약한 참고 정보입니다. 사람의 마음이나 관계를 확정적으로 판정하지 않아요.