Subject separation
The app inspects a chosen image before rendering. When a foreground mask is unreliable, it reports low quality instead of presenting a weak poster as finished.
FIELD STAMP
One photograph,
a field-note poster.
An iOS prototype that turns a selected photo into a vintage explorer's notebook composition while keeping the original image intact.
MVP · Quality validation
On-device image flow
A single photo becomes a composed field record.
The prototype checks image quality before it composes the poster, then preserves the original photograph while generating an export from the selected layout.
- 01 · ChooseSelect one photo from the device library
- 02 · AssessOn-device subject and composition quality checks
- 03 · ComposeLayout, title, location, and visual treatment
- 04 · ExportFreshly rendered PNG saved from the selected composition
A deliberate rendering path
Choose one photo, check its rendering quality, then edit and export a poster.
Three layouts
A portrait, landscape, or note-led arrangement gives the selected image a clear place alongside title, location, number, and keywords.
Local archive and export
Generated posters are kept in a local archive and exported as PNG. The final image is rerendered from the same seed rather than enlarged from a preview.
From a photo to an export
The app keeps the user in control of the photo, layout, and caption.
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01
Select and inspect
Choose one photo. The pipeline checks whether the subject can support the intended stamp treatment.
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02
Compose and edit
Choose one of three layouts, then adjust the field-note details before rendering.
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03
Archive or export
Keep the poster locally or export a PNG for sharing and printing.
Illustrative workflow
- A hiker selects a summit photo.
- Field Stamp flags an uncertain mask or renders a poster with a chosen layout.
- The hiker adds a location note and exports the finished PNG.
Development workflow
Codex supports work on this prototype; it is not a feature inside the app. Claude Code is being evaluated for selected development and verification workflows.
Inputs: flows and Swift modules
We use the photo-selection flow, rendering modules, and quality-gate requirements to plan changes.
Work: scoped implementation and checks
Rendering and UI work are kept separate, then library tests and export-path regression checks run against defined failure cases.
Value: clearer recovery paths
The resulting work focuses on telling a user when a photo is unsuitable and preserving a reliable route to edit or export.
The current prototype does not call the Claude API. Other Claude API ideas will be considered only after Findoc’s planned evaluation.
Questions at this stage
Are photos uploaded to a server?
Poster generation is on device. Reverse geocoding can request a place name when GPS metadata is available.
Is the prototype ready for release?
Not yet. Physical-device performance, mask behavior on varied photos, and release-quality checks remain.
Product enquiries