That’s an interesting diversity of workflows. Here’s one more:
- photograph (often with a mix of cameras from my iPhone to my DSLR), always while having a GPS running (either the Cyclemeter app on my iPhone or our Garmin GPSMAP64 if I’m carrying a backpack)
- load photos into darktable (an excellent opensource equivalent of Lightroom) to automatically geotag all my photos, tweak exposures and crop (if necessary), and tag them all up with taxon names and iNaturalist tags (e.g, “Insect life stage=larva”), plus descriptions when needed.
- export the processed photos from darktable
- run a bash script that strips all tags that I don’t want to share (eg people’s names) — that’s optional
- upload to iNat using the website
Rinse and repeat.
It works pretty well, but it’s still slow enough that I’ve built up a backlog of many tens of thousands of photos. I can imagine a future where some clever machine learning algorithm does all the IDs and the tagging for me and I can upload many hundreds of photos a week all at once. :-)