Photo analysis can estimate Bristol type, color, size, blood confidence, mucus, and float/sink, then the user can review and correct the log.
In closed testing
BristolLog
A private, structured gut health log built for people who need better answers than “I think it happened a few times this week.”
Personal health context
Turn awkward details into useful patterns.
BristolLog helps users record Bristol type, color, urgency, pain, mucus, blood confidence, float/sink, notes, and timing in a way that can actually support a medical conversation.
What makes it different
Built around the details doctors ask for, with privacy treated as a product feature.
Users can skip AI and log everything manually, including urgency, pain, straining, smell, notes, and tags.
History views and AI trend analysis help identify changes across stool type, timing, symptoms, notes, and possible meal context.
CSV exports, PDF reports, doctor-report mode, and JSON backup/restore make the data useful beyond the app screen.
An optional on-device model can keep analysis available when cloud AI is unavailable, with clear expectations about speed and accuracy.
Optional on-device meal correlation can help users connect digestive patterns with recent food logs from KCalTrack.
Positioning
For people managing symptoms, preparing for appointments, or trying to spot patterns over time.
Private logs stored on device
Photos discarded after analysis; text results are saved
Gentle reminders after gaps in logging
Premium options for unlimited AI scans, unlimited trend analysis, and ad-free use