GoHighLevel GPS Photo Uploader

Job ID: 40187436

Budget: $1,500 – $3,000 USD

Project: GoHighLevel SaaS – Mobile Photo Upload + Automatic GPS Tagging (MVP Module)
I’m building a GoHighLevel-based SaaS in SaaS mode and want to finalize the job/project photo upload + GPS tagging module first.

Goal (this sprint)
When a field tech finishes a job:
they take/upload a photo from mobile,
it lands in the correct GHL sub-account,
the system captures GPS automatically (no manual typing),
the photo + metadata is stored in a searchable way for future website publishing.

What I need built (MVP)
A mobile-first photo-only upload interface inside GoHighLevel (native form/survey OR a GHL-hosted custom page—use what’s most reliable).
Automatic latitude/longitude capture:
Primary method: HTML5 browser geolocation (navigator.geolocation) captured at upload time
Secondary method (bonus): EXIF GPS extraction when present
No manual entry allowed.
Save photo + metadata to a structured record in the sub-account:
timestamp
lat/long
optional: job type tag / service category (can be auto-set later)
Storage approach must be scalable and repeatable:
Recommend best method (GHL media library vs external storage like Cloudinary/S3) with URL saved in GHL
Must support future “publish to website” automation
A simple admin view for the client user (sub-account user) to:
view uploads
delete uploads
(optional) edit label/tag fields
without needing agency-level access
Short handoff notes or a Loom explaining:
fields/custom objects used
workflows/triggers/webhooks
any external services
Constraints
Platform: GoHighLevel SaaS mode
Photos only (no video)
GPS tagging mandatory (auto capture only)
Must work across many sub-accounts without custom per-client setup
Future proofing: data will feed a “publish pins to website” engine next sprint
To apply (required)
Please include:
A brief explanation of how you’d implement GPS capture inside GHL (geolocation vs EXIF approach)
Any example of similar work (GHL custom pages, webhooks, media handling, custom objects)
Whether you recommend Cloudinary/S3 and why