What Brandon Thinks iMessage Chat Analyzer: Read Your TXT Export

What an iMessage chat analyzer can help you examine

An iMessage conversation may contain many small exchanges that are hard to review as a whole. What Brandon Thinks can organize the supplied messages around a question: how plans are followed up, how people respond to requests, or what changes after a disagreement. Its report presents an opening read, scorecard and findings with short excerpts you can check against the source.

The analyzer only sees text in the file you provide. It cannot recover deleted messages, listen to calls, interpret missing attachments or know someone’s private intention. A traceable quote supports checking the source; it does not automatically make an interpretation correct. Use the report to prepare a better question rather than to diagnose a relationship.

Prepare an iMessage TXT export

The site does not log into your Messages account. You first create a TXT file using an export tool you trust, then select the file yourself. Review that tool’s access and privacy terms independently: it is a separate service or application, and its handling of your messages is not determined by What Brandon Thinks.

1. Choose the conversation and a relevant period you are entitled to use.
2. Export text with dates, sender names and message bodies using your chosen tool.
3. Check the TXT under 25 MB and remove unnecessary sensitive material.
4. Upload it, review the detected participants and choose the report focus.

Export tools use different formats, so not every TXT will be recognized. The analyzer recognizes certain dated, named message lines, including rows separated by tabs, vertical bars or commas. A fictional example is 2026-10-01 09:00 | Alex | Are we still meeting Friday?. Check the file rather than assuming a screenshot, PDF or an arbitrary text dump will work.

Check participants and choose a representative period

Consistent names help the product distinguish participants. If an export labels one person with multiple identifiers, review the participant confirmation step and use the available merge or split controls where appropriate. Do not assume an ambiguous name was resolved correctly. A mistaken participant can change the meaning of a finding.

Choose a period containing several relevant exchanges. One argument or one unanswered message is a poor basis for a broad conclusion. A very long export may contain unrelated history, so balance context with data minimization. The product can process a small sample, but the preview flags a chat with fewer than 100 messages as limited and marks its interpretations low confidence. The analyzer accepts at most 50,000 messages; choose a smaller period if your export exceeds that limit.

Read the free preview and check its evidence

After the setup and delivery steps, the free preview includes the opening verdict, five scores and two findings. The free preview guide explains what remains locked. If you want to understand the layout without sharing anything, read the fictional sample report first.

For each finding, locate the excerpt in the original TXT and read what came before and after it. Compare supporting messages with counterexamples. A short reply could reflect tiredness, a busy day or a prior phone call; text alone cannot decide. A lower-confidence label is a prompt to ask what is missing, not proof that a person has a particular motive.

What the file may leave out

Before submitting the file, open it locally and inspect several entries from the beginning, middle and end. Check that dates and senders are readable, that separate conversations have not been combined and that the selected period is the one you intended. If a message is split across lines or an attachment is represented only by a placeholder, compare it with the original conversation before relying on any conclusion.

Export formats differ in how they represent images, reactions, edited messages, voice notes and group membership. If a key response is missing from the TXT, the report may see an incomplete exchange. Time stamps can also be formatted differently by different tools. Review the export and avoid drawing conclusions from a sequence that no longer reflects the original conversation.

For a group, the friend and group chat guide explains why message counts are not the same as contribution. For a relationship, look at repeated follow-through or repair rather than asking the report to prove affection. A short selection can be useful for a narrow question, but it cannot establish the complete history of the people involved.

Privacy and responsible use

Make sure you are entitled to use the conversation and consider the privacy of everyone included. Remove passwords, payment information and unrelated sensitive material. The transcript is processed to create your report and may be sent to an AI provider or a fallback provider. Review the safety page and privacy policy for application handling, retention and deletion; an export tool and AI providers may have their own policies.

If the TXT contains information you would not share with an online service, do not upload it. You can instead review a small set of messages yourself or speak with someone you trust. For abuse, safety, health or other high-stakes concerns, seek appropriate human support. A chat analyzer cannot make those decisions for you.