inverza.app valid
Inverza
Landscape photography weather intelligence app for iOS.
- Authority
- 45 reach 0 · trust 5 · quality 25 · freshness 15
- Tier
- listed
- llms.txt
- https://www.inverza.app/llms.txt
- llms-full.txt
- https://www.inverza.app/llms-full.txt
- Sections
- 6
- Links
- 36
- Size
- 14895 bytes
- Country
- Germany Hosting inference
- Hosting country
- Germany Hosting inference
- Country evidence
- No published address evidence collected yet
- For agents
- Documentation: developer or product docs worth reading, nothing to call
- First seen
- 2026-10-25T19:12:22.344Z
- Last checked
- 2026-10-25T19:12:24.313Z
- Badge
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-25T19:12:22.349Z. Cached copy · Source on inverza.app
# Inverza
> Landscape photography weather intelligence app for iOS.
Inverza helps landscape photographers plan shoots by combining AI-powered weather analysis with real-time condition detection. It blends multiple weather models, METAR ground observations, and terrain data to predict 16 unique photography conditions - from colorful dawn and ground fog to aurora borealis, cloud inversions, and lenticular clouds over mountain ridges.
Unlike multi-model browsers such as Windy, Inverza is an interpretation engine: the right regional weather model is auto-selected via Open-Meteo's best-match strategy (HRRR in North America, ICON-D2/EU in Europe, ECMWF IFS for medium-range globally, GFS as a global fallback) and a stack of additional non-NWP sources is layered on top - METAR ground observations, Open-Meteo Marine sea-surface temperatures, inland water-temperature estimates from past-air-temp history, hourly aerosol/air-quality data, and previous-run model stability analysis. The output is 16 photographic conditions with confidence tiers (Possible -> Likely -> Very Likely -> Live), not raw model layers users have to read themselves.
For the full concatenated text of every page, see [llms-full.txt](https://inverza.app/llms-full.txt).
## Features
- **AI Weather Chat**: Ask about shooting conditions in plain language. Powered by Claude, Gemini, or ChatGPT (bring your own key), or the built-in model: Google's newest Gemini generation (currently Gemini 3.8 Flash).
- **Condition Detection**: Automatically detects 16 photo-worthy weather conditions with confidence scores and predicted times.
- **Smart Alerts**: Push notifications when conditions align at saved locations.
- **Photo Spot Map**: Discover viewpoints using geotagged photos, with sunrise/sunset/moonrise/moonset direction lines and terrain shadow mapping. Live dotted sun/moon lines track the time slider when the shadow map is active.
- **Photo Subjects** *(v1.5+)*: Pair each saved photo spot with a separate subject pin (up to 50 km away - mountain face, lighthouse, lake, castle). OpenStreetMap classifies the subject into one of 22 kinds (peak, glacier, waterfall, lighthouse, alpine hut, …); the AI gets a material-aware photographic playbook per kind. For distant subjects (>20 km) a second weather forecast is fetched at the subject's coordinates so the AI can reason about spotlight conditions when the photographer is in cloud but the peak is in the clear. Subject illumination is ray-marched against the SRTM horizon at the subject's location.
- **Horizon Paths** *(v1.5+)*: 360° terrain horizon strip on each spot detail card with sun and moon arcs across the day, anchored on the moon's upper transit so the position dot never vanishes at the chart edge. Hour/day navigation; Photographer/Subject toggle that re-renders the horizon profile from the subject's vantage.
- **Horizon Paths 3D** *(v1.6+)*: The same spot as an interactive SceneKit diorama - real terrain out to the surrounding peaks, OpenStre
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