The tourist problem is universal. At the base of the Colosseum, squeezed into the viewpoint at Machu Picchu, or shooting the famous blue-domed churches in Santorini, someone else is always in the frame. You planned the shot for months. They wandered into it by accident.
This guide covers how to remove tourists from travel photos properly: three methods, their real tradeoffs, and a step-by-step walkthrough of the approach that takes under a minute.
Why Your Phone's Eraser Tool Isn't Enough
Apple Photos and Google Photos both added object eraser features in recent years, and they work fine for small, isolated distractions near plain backgrounds. A litter bin on a gravel path. A power line across the sky. Someone at the very edge of the frame with nothing but ocean behind them.
But travel photos are rarely that clean. The person you want gone is usually standing right in front of the Eiffel Tower, or walking through a narrow Moroccan alley you spent 20 minutes finding, or blocking the symmetrical arcade you were trying to shoot in Bologna. Complex backgrounds break these tools. You end up with a blurry smear where the person used to be, or ghost artifacts where the fill algorithm couldn't figure out what the wall behind them looked like.
There's also the device problem. Apple's Clean Up tool is iOS-only. Google Magic Eraser requires a Pixel. If you shoot on a Sony mirrorless and edit on a Windows laptop, neither is available to you at all. And neither handles RAW files.
The 3 Approaches to Removing People from Travel Photos
Wait for an Empty Frame
Set up a tripod, wait for a gap in foot traffic, shoot multiple frames, and manually composite them in Lightroom or Photoshop. Works beautifully when it works. Requires a tripod, patience, cooperation from the location, and a gap that may never come. At Times Square or the Vatican, you could wait an hour and still not get a clean 3-second window.
Photoshop Content-Aware Fill
The professional standard for years. You manually lasso each person, run Content-Aware Fill, then patch and clone-stamp the rough edges. The results can be excellent. The process takes 20-40 minutes per photo if you're good at it, requires a paid Adobe subscription, and has a real learning curve. Not what you want when you have 300 photos from a two-week trip.
AI One-Click Removal (BOARD)
Upload your photo. The AI automatically detects every person as a separate object. Click the ones you want removed. Download the clean version in about 3 seconds. No brushing, no lasso, no manual selection. Works on any browser, any device, any photo format.
How to Remove Tourists from Travel Photos with BOARD
The full process takes under 30 seconds per photo. Here's exactly how it works.
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Upload your photo. Go to app.brd.ing in any browser. Drag your photo in or tap to upload from your camera roll. JPG, PNG, WebP, and HEIC all work. No account needed for your first 5 edits.
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Wait for AI detection. Within a few seconds, BOARD outlines every object it identified in the scene. Each person shows up as a separate selectable object, distinct from the landmark, background, and architecture around them. The AI separates a person standing in front of a stone wall from the stone wall itself.
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Click the tourists. Tap or click each person you want removed. If you have a crowd, click them one by one or select multiple. Each one you select queues for removal. You're not drawing masks or brushing anything. One click per person.
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Download the clean photo. Hit remove and the AI reconstructs the background behind each person in about 3 seconds. Cobblestones continue. Walls fill in. Architecture stays straight. Download the result at full resolution.
Pricing is $0.50 per edit after your 5 free credits. No subscription. If you're cleaning up a two-week trip, buying a 50-edit pack ($20) covers the whole album with room to spare.
Shooting Tips to Make Tourist Removal Easier
Even with AI removal available, how you shoot affects how clean the result comes out. These habits make the process faster and the AI fill more convincing.
Shoot in burst mode
Hold the shutter and fire 5-10 frames in a row. Foot traffic creates natural gaps. One frame in the burst will often have fewer people, or people in better positions for removal. Start with the cleanest frame you have before uploading.
Shoot in RAW when you can
RAW files contain significantly more detail than JPEGs compressed in-camera. When the AI reconstructs the background behind a removed person, it has more texture data to work with, which produces a cleaner fill. Export to TIFF or high-quality JPEG before uploading if your software supports it.
Go at golden hour
The hour after sunrise and the hour before sunset consistently have the fewest tourists at every major landmark worldwide. The light is also dramatically better. If you can get to the Colosseum, Machu Picchu, or Angkor Wat at 6am, you'll shoot fewer people into the frame in the first place and have better light for the AI to reconstruct.
Watch your angles
Shooting up at architecture tends to put people in the lower third of the frame where they're isolated from the background details. Shooting across a piazza or through a doorway compresses perspective and stacks people in ways that are harder to separate. The more visually isolated each person is from unique background elements, the cleaner the removal.
Old photos work too. You don't need to have shot in RAW or burst mode. Upload any JPG from five years ago. If you can see the people, BOARD can remove them from travel photos regardless of when or how you shot.
Before and After: What the Results Look Like
The most common worry is that the removal will look obviously edited. With modern AI fill, that's rarely the case for travel photography. Here's what works well and where it can struggle.
Stone facades, tile floors, tiled rooftops, sandy beaches, grass, sky, and water all reconstruct convincingly. The harder cases are scenes with complex repeated patterns (like a very intricate mosaic floor) or people blocking a focal element that has unusual detail. For the vast majority of landmark and street shots, the result looks like the tourist was never there.
When You Should NOT Remove People from Photos
One-click removal is for personal travel photography: cleaning up your vacation album, your prints, your social posts. It's not the right tool for every situation.
Don't remove people from documentary or news photos. Altering images that are presented as factual records is a form of misinformation. If the photo captures an event, a protest, a historical moment, the people in it are part of the record. Removing them is misrepresentation.
Don't remove named individuals to create false impressions. Editing someone out of a photo to imply they weren't present, or to fabricate a version of events, crosses into deception regardless of the tools used.
Cleaning up your shots of the Acropolis: completely fine. Doctoring a photo to change what happened: a different category of thing entirely. Know which one you're doing.
Frequently Asked Questions About Removing Tourists from Travel Photos
What is the fastest way to remove tourists from travel photos?
The fastest method is AI one-click removal. Upload your photo to BOARD, click each tourist the AI detected, and download the clean version. The whole process takes under 30 seconds per photo, including upload time.
Can I remove tourists from travel photos on my phone?
Yes. Open app.brd.ing in Safari or Chrome on your phone, upload directly from your camera roll, tap the tourists you want removed, and download the result. No app to install, no account needed for your first 5 edits.
Does removing tourists from photos look fake?
With AI reconstruction, a clean removal is virtually undetectable. The AI fills in the background based on surrounding context. Manual brush tools often leave visible halos or blurry patches. One-click AI removal produces significantly cleaner results.
How many tourists can I remove from a single photo?
As many as you need. BOARD detects every person in the frame as a separate object. Click each one you want gone. There is no enforced per-photo limit on the number of removals.
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