Analyze a WhatsApp chat without losing the context
What Brandon Thinks reads the conversation across many messages, organizes observable patterns, and ties important observations back to short excerpts you can check.
Try the free previewWhat the analyzer looks for
- Who initiates, follows through and keeps a thread alive.
- Changes in tone, effort, response patterns and reciprocity.
- Group roles, alliances, private language and recurring friction.
- Turning points supported by messages in the uploaded export.
How evidence checking works
When the report presents a short quote as evidence, the server checks that the excerpt can be found in the uploaded conversation. If a claim is interpretive or weakly supported, the report should label it with lower confidence instead of presenting it as fact.
Prepare a useful export
- Choose Export chat in WhatsApp.
- Select the option without media.
- Keep the ZIP or TXT file under 25MB.
- Upload only a conversation you are entitled to use.
Questions a transcript can answer well
Text history is useful for questions about repeated behavior: who starts conversations, whether plans receive follow-through, how quickly tone changes after conflict, or which group members support one another. It is less reliable for questions that depend on body language, deleted messages, voice notes or events that happened offline. A focused question and a representative date range usually produce a clearer report than asking the AI to explain an entire relationship.
Check the result against WhatsApp
Keep the original export while reading the preview. When a section includes evidence, search for the excerpt and read the nearby messages, not only the quoted line. Context can change the meaning of a joke, a delayed reply or a brief answer. Confidence labels help prioritize what to inspect, but your knowledge of the people and circumstances remains essential.
What stays outside the report
The analyzer does not log into WhatsApp, recover deleted content or read conversations you did not upload. It cannot hear tone of voice, see facial expressions or know what happened after a message was sent. Those boundaries are important: a well-organized text analysis can reveal patterns in the export, but it cannot turn incomplete data into complete knowledge.
Frequently asked questions
How do I analyze a WhatsApp chat?
Export the conversation from WhatsApp without media, upload the ZIP or TXT file, confirm the participants and choose your report focus. You can then read two report sections free.
Can the analyzer see deleted or missing messages?
No. It can only process text present in the export you upload. Missing, deleted, voice and offline context are outside the report.
Does it analyze photos and voice notes?
No. Export without media. The report is based on the supported text transcript.
Can it tell who likes whom?
It can surface observable patterns such as initiation, reciprocity, tone shifts and attention. Those patterns may suggest possibilities, but they do not prove private feelings or intent.