Clark Reads is an AI chat analyzer built for the conversations people actually have in group chats. Upload an export from WhatsApp or iMessage, and it reads the entire thread in order, then writes a long-form report in plain language. Every finding is tied back to the exact lines it came from, so the reasoning can be checked rather than taken on faith.
What it does
The product is designed around multi-person threads rather than one-to-one exchanges. A family group, a friend group, or a work team is treated as several relationships running at once, with an audience. Clark Reads accounts for each participant in the conversation and reports what is present in the messages, without scoring the group or labeling its mood.
How a read works
- Upload a WhatsApp export (.zip or .txt) or a plain-text iMessage file, up to 20,000 messages.
- Media such as photos, videos, and voice notes is stripped in the browser before anything is sent.
- The full thread is read in order, with nothing sampled or skipped.
- A written report is produced, with the opening and first chapter free to read.
- The full report unlocks with a single payment of $9.90 for that report, with no subscription.
Privacy and handling
Uploaded conversations are deleted on a schedule: within 48 hours if no report was ordered, and within 7 days of the most recent report. Files are never used to train AI models and are never sold or shared. Photos, videos, and voice notes never reach the service because they are removed on the user's own device. An account and everything in it can be deleted in one click, and a conversation with no report yet is discarded when a different file is uploaded in its place.
Who it is for
Clark Reads suits anyone who wants a structured, text-based read of a long-running group conversation without turning it into therapy, legal advice, or a way to guess what someone secretly thinks. Reports are private by default, shared only through a link the user chooses to send, and kept out of search engines. The method behind the readings is documented separately for readers who want to understand how the analysis is produced.
