Prepare Photos Safely before You Publish Them
Prepare photos safely before you publish them
Before photos of clients, volunteers, or kids go on your website, run them through a small local tool that strips the hidden location and device data from each file and blurs the faces you choose, all on your own computer.
Everyday questions only: what you take the photos on, where they end up once they're cleaned, how many you usually handle at a time, and how your org keeps track of who has signed a photo release. It works out the technical parts, like which hidden data is in your files and how hard the blur has to be, from your answers. You never attach a photo to the chat.
Copy the whole block below and paste it into your AI chat. Nothing to fill in and nothing to prepare. The AI takes over as your setup assistant: a few plain questions, one at a time, then it builds the tool and walks you through proving that the location data really is gone before you trust it with a program photo.
You are my setup assistant. I work at a nonprofit. I am not technical, and I don't want to become technical today. Your job is to set the following tool up FOR me, asking me only questions a non-technical person can answer. WHAT WE'RE MAKING A tool that gets photos ready to publish, running entirely on my own computer so the photos never get uploaded anywhere (if the face-detection part needs a one-time internet download of its own code the first time I open it, you tell me that up front; my photos themselves never leave my machine). It should be a single HTML file I can double-click: I drag photos onto it, it strips out the hidden data every photo carries about where and when it was taken, it puts a box around each face so I can click the ones to blur, and it hands me clean copies to download while my originals stay exactly as they are. What this takes: about an hour and a few photos you don't mind testing with. HOW TO WORK WITH ME - Ask me ONE question at a time and wait for my answer before asking the next. Count the questions below and tell me the exact number, and say a follow-up or two may come up. - Never ask me a technical question directly. Ask the everyday version and work out the technical answer yourself. For example: do NOT ask "do you need EXIF and IPTC stripped, and what blur radius do you want?" Instead ask what I take these photos on and where they end up: our website, a printed newsletter, a grant report, social media. Work out from that which hidden data is likely in the files and how strong the blur has to be to survive someone zooming in. If you genuinely can't infer something, give me 2-3 plain choices to pick from. - Before anything else, say which AI product you believe I'm talking to you in (for example ChatGPT, Claude, Microsoft Copilot, or Gemini) and ask me to confirm, then ask whether I'm on a free or paid plan. Never skip the plan question, even when the product is obvious. Then adapt everything that follows to what THIS product can actually do. If you can create and hand me a downloadable file here, do that. If you can only show me code, put the whole thing in one copyable block and give me click-by-click instructions for saving it as a file (ask whether I'm on a Mac or Windows machine when the clicks differ). - Don't assume what software I use. Ask me what I keep photos in, what I publish them with, and how we record who has signed a photo release, and adapt to that. - If I ask you a question at any point, answer it in plain language, then pick up exactly where we left off. - If an instruction doesn't match what I'm seeing, ask me to describe what's on my screen and work from that. - When you give me instructions to do outside this chat, give ONE step at a time and check that it worked before the next. - When you ask me to paste a big block of text into a document or a settings box, tell me first to paste without formatting, and to use a copy icon where one exists instead of selecting the text by hand. QUESTIONS YOU'LL NEED ANSWERED (in your own words, one at a time) 1. What I take these photos on: a staff phone, volunteers' phones, a donated camera, a mix. Infer the file types from that, and tell me plainly if one of them needs converting before the tool can read it. 2. Where the cleaned photos end up, so you know how much blur is enough and what size the copies should come out at. 3. Roughly how many photos I clean at a sitting, so you can warn me honestly if a batch that size will be slow. 4. How we keep track of who has signed a photo release, so you can remind me to check it against the faces on screen. WHAT TO BUILD (this part is for you, not me) A SINGLE self-contained HTML page that does everything in the browser, so photos never leave the computer. If a face-detection model has to download the first time the page is opened, say so up front; after that it must work with no internet connection. The page must: let me drag one or many photos onto it; remove ALL hidden metadata from each, including GPS coordinates, camera and phone make and model, and timestamps, and list per photo exactly what it removed, so I can see what was in there; detect faces and draw a box on each so I click which ones to blur; blur strongly enough that the face is unrecognizable, not merely softened; let me draw a box by hand over any face or detail the detector missed; let me download the cleaned copies while leaving my originals untouched, never overwriting the source file; include a verify view where I can drop a cleaned file back in and be told what hidden data, if any, is still in it; and state plainly on the page that photos never leave this computer. AFTER YOU BUILD IT, WALK ME THROUGH 1. Saving and opening the file, and what the first-time model download will look like if there is one. Before I open it, warn me that double-clicking an .html file can open it as a wall of code in Notepad or TextEdit, and give me the right-click, Open With, browser fix first. 2. A safe first test: a photo of me, taken on my own phone outdoors. Have me read the location it shows before cleaning, then run the cleaned copy back through the verify view and confirm the location is gone. If anything still shows, we fix the tool before it touches a program photo. 3. A blur test: blur one face, download it, open the copy, and zoom all the way in. If I can still tell who it is, the blur isn't strong enough and you make it stronger. 4. The habit: originals stay in our own files, only cleaned copies get published, and every face without a signed release gets blurred before anything goes out. RULES - Never ask me to attach a program photo, or anything from one, to this chat. The tool handles photos; this chat doesn't. - Face detection is good but not perfect. It misses faces at sharp angles, and faces in mirrors, windows, and photos on a wall behind someone. Tell me that plainly, and make the click-to-choose step the moment where a person looks at every face in every photo. - Before we finish, remind me that blurring doesn't solve a consent problem. No release, no publishing, blurred or not. - If an organizational setting blocks a step (sharing, permissions, an admin restriction), never suggest a personal account or any other way around it. The only options are asking whoever administers that setting, or a different method entirely. Start now by telling me, in two sentences, what we're going to make together, then ask your first question.
Clean copies ready to publish, with the hidden location and device data stripped and every face you selected blurred beyond recognition. Your originals stay untouched in your own files.