Photo tagging
Puts reviewed keywords on a shoot as it lands, so a decade-old library is findable by the words a client actually says out loud.
When a shoot is imported, list the suggested keywords with the file name, drop the ones that miss, post the approved list, and write only those to the library.
The job, and what good looks like.
Machine labelling is fast and confidently wrong. It calls confetti a birthday, tags eight hundred near-identical dance floor frames, and writes a landmark nobody will ever search for. A photographer who trusts that output ends up with a library that cannot be searched at all, because the words that matter were never in it. This workflow takes the suggested labels for a new import, pulls them into a list against the file name, drops the ones that miss, and offers replacements drawn from the terms the photographer already uses. A sample of frames with the chosen labels goes back for a person to confirm before the batch is written to the library, so a bad run costs one folder instead of a season. The photographer still decides which words matter, what a frame from this job is called, and when the older years get their turn.
When it is handled
- Keywords reviewed before they reach the library
- Wrong labels caught inside one folder
- Search answers to the words clients use
- Each new shoot labeled on arrival
Works with tools like
- Amazon Rekognition
- Google Cloud Vision
- Adobe Lightroom
- Photo Structure
Ready-made automations. Pick the one that fits.
Each one is a plain-language document. Run it as it is, or change the timing, the rules and the tools to match your team.
Auto-Tag Approval Queue
When a shoot is imported, list the suggested keywords with the file name, drop the ones that miss, post the approved list, and write only those to the library.
When a shoot is imported
Label Spot Check
When labeling runs on a new folder, post ten random frames with the labels the tool picked so I can confirm the run before the keywords go live.
When labeling runs on a new folder
You stay in charge.
At every step.
It checks and files. Every creative call stays yours.
- It never deletes on its own
It checks, lists and files. Deleting or formatting anything waits for your OK.
- Undo a move you don't want
Every step is recorded, and files it moved or renamed can be put back.
- Your drives stay yours
It works on the folders you point it at, on your computer. Nothing is uploaded to a new library.
Auto-Tag Approval Queue
Approve before it updates the sheet and posts in Slack?
Before you download.
- Where does it run?
- On your Mac or Windows computer, in the background. It keeps working after you close its window, and only reaches the folders and apps you connect for each automation.
- How does it connect to our CRM and other tools?
- Through each app's own connection where it offers one, signed in once by you, or by using the app in a browser the way you would. Each automation gets only the connections you give it, and the tools a page names are examples you can swap for your own.
- Does it run when my computer is asleep?
- It keeps your computer awake while a job runs and just before a scheduled one. While the computer is closed or off, nothing runs; when it wakes, it checks the inbox, calendar and other sources it watches for anything that arrived meanwhile.
- How does my team use it?
- Each person who runs automations installs the app. Keep a project in a shared folder, such as Google Drive or a network drive, and teammates can open it and follow every run, while one person owns it and runs it.
- Do I need anyone technical to set it up?
- No. Download the app, add an automation in plain words, and connect only what that job needs. Nothing runs until you switch it on.
Already have tools for this? Here is the difference.
Presets and actions in your editor
Repeating the same edit across many files.
They can't check a delivery against an approval or tell you a card didn't copy.
Flowchart automation tools
Moving data between cloud apps.
They rarely reach local drives, and every exception becomes another branch.
Doing it by hand
Knowing exactly what happened.
It is the part of the job that waits until midnight.
AUTOMATE.md
Your routine, written in plain words. It runs on its own, follows your rules, handles the exceptions a flowchart can't, and asks you when it matters. The file stays yours, whichever AI model runs it.
Start with one job.
Make it your own.
macOS — coming soon- 1
Get the app
It runs on your computer, next to your files.
- 2
Add the automation
Paste the instructions into the app, or save them as a file next to your work.
- 3
Try it, then turn it on
Run it once and check the result. It only runs on its own once you switch it on.