Find likely travel periods.
Mapliva reads your library on the iPhone, then sends structured date and coordinate evidence — not image files — for AI grouping.
Photos become field notes · iPhone beta
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Your camera roll already holds the rough chronology: when you left, where you stopped, and when you came home. Mapliva helps turn that outline into trips you can review.
Starting a travel diary years after the trip can feel impossible. Exact dates blur. City order gets rearranged. The smallest moments — the train platform, the afternoon detour, the name of the second town — are often the first to go.
Photos preserve useful anchors. Mapliva reads dates and available location metadata from PhotoKit. When you start the AI photo flow, it sends structured timestamps, coordinates, counts, and travel clues through Mapliva's backend to OpenAI, which groups likely travel periods and proposes a draft. A suggestion is not an automatic verdict. You can approve it, change the dates, reshape the stops, or skip it.
Once the outline is right, the record can stay simple: a title, a stamp, and the places you visited. Or it can grow into day-by-day notes and a personal atlas. The goal is to reduce the cost of beginning without pretending software understands the memory better than you do.
Mapliva reads your library on the iPhone, then sends structured date and coordinate evidence — not image files — for AI grouping.
Merge or remove stops, adjust the dates, name the trip, and reject anything that was not really travel.
Keep a spare log or expand it into a journal. Mapliva gives the memory a structure without forcing a daily habit.
Illustrated example with sample dates and places. These are not results from a real photo scan or a customer’s travel history.



In this example, dated photos outline a journey from Lisbon through Madrid to Barcelona, between 14 and 20 June. A photo without location metadata is a gap to review; it is not evidence of an extra stop.
Suppose you left home on 13 June, a day before the first photo. Correct the start date. Keep Madrid if you visited the city; remove it if the photos only record a connection you do not want counted as a visit. Review the stop order and return date before approving.
For this example, the finished record is “A week in Iberia” · 13–20 June 2024 · Lisbon, Madrid and Barcelona. Add a note about the journey. Mapliva’s trip record and atlas give you places to return to, even when your original photos leave details unanswered.
Try this with one trip you remember well. Try Mapliva on TestFlight, then compare the photo-based draft with your own dates and places.
Mapliva can read the photos you make available through iPhone photo permissions. A limited selection can leave gaps in your trip history. Start with photos from one trip and review the resulting dates and places.
Check departure and return dates, especially around overnight travel or time-zone changes. Several photos can describe the same stop, and missing GPS can leave a gap. Compare the draft with what you remember rather than treating photo counts as a count of visits.
The app reads photo metadata on your iPhone. AI trip drafts require an internet connection because structured dates and coordinates are processed through Mapliva’s backend. You can also create a record manually or stamp a place from memory.
As far back as your camera roll goes, depending on the dates and location metadata available in those photos.
Location-poor sections may need more review or manual editing. Mapliva treats the metadata as evidence for a draft, not a guarantee.
No image or video files are uploaded for detection. The AI photo flow does send structured timestamps, coordinates, counts, and travel clues through Mapliva's backend to OpenAI. Read the privacy policy for the full data flow.
Try the Mapliva iPhone beta on TestFlight and start with a past trip you remember.
Try Mapliva onTestFlight