Tag: Tips & Tricks

How to Geotag Photos Without a GPX Track Using Reference Photos

GPS track logs are one of the most reliable ways to geocode photos. Record a track during your shoot, match the timestamps, and software can determine where each photo was taken.

But what happens when there’s no track log?

Maybe you forgot to start recording. Perhaps the GPS app stopped midway through the hike. Or you just don’t want to run a tracking app every time you pick up your camera.

If you use Lightroom Classic, you’ve probably noticed that its geotagging tools depend heavily on GPX track logs. Without one, you’re largely left dragging photos onto a map by hand.

HoudahGeo offers a better option: geocoding photos using reference photos — images that already contain GPS coordinates. In many situations this is faster and more convenient than recording a track log.

What are reference photos?

A reference photo is simply a photo with a known location.

Most people carry a GPS-enabled camera in their pocket every day. Your iPhone or Android phone records GPS coordinates automatically whenever location services are enabled. Those geotagged phone photos can act as location anchors for the rest of your images.

Continue reading How to Geotag Photos Without a GPX Track Using Reference Photos

Lightroom Geotagging Beyond GPX Track Logs: When to Use HoudahGeo

Adobe Lightroom Classic has included GPS photo geotagging for many years. The Map module can load GPX track logs, match them to photo timestamps, and write GPS coordinates to your images. For many photographers, that’s all they need.

But if you’ve ever forgotten to record a track log, discovered your camera clock was wrong, or wished Lightroom could infer locations from nearby geotagged photos, you’ve probably run into the limits of its built-in tools.

That’s where HoudahGeo comes in.

HoudahGeo integrates with Lightroom Classic and handles the geocoding and geotagging tasks that Lightroom either doesn’t support at all or makes unnecessarily difficult.

Continue reading Lightroom Geotagging Beyond GPX Track Logs: When to Use HoudahGeo

Find Intel-only apps on your Mac before macOS drops Rosetta

A HoudahSpot user recently wrote in with a question that probably sounds familiar if you’ve upgraded to the macOS Tahoe 26.5:

“Using HoudahSpot, is there a way to search for Intel-based applications on my Mac? Upon opening one, I’ve been getting notifications that these apps will no longer work in an upcoming upgrade when Rosetta is discontinued.”

Good question — and yes, HoudahSpot can do exactly that.

What the warning means

When you open an application that was compiled only for Intel processors, macOS Tahoe shows a warning. The message says the app won’t be supported in the next major version of macOS, because that version will no longer include Rosetta 2.

Rosetta 2 is the translation layer that lets Apple Silicon Macs run software originally built for Intel. It has been part of macOS since the first M1 Macs shipped in 2020. But Apple announced it won’t last forever — and macOS Tahoe is sending the first clear signals that the end is near.

The problem with relying on those warnings is that you only see them when you actually open an app. If you have old utilities buried in your Applications folder that you haven’t launched in months, you won’t find out until it’s too late.

Continue reading Find Intel-only apps on your Mac before macOS drops Rosetta

Getting Camera Time Right to Match Photos with GPS Track Logs

Have you ever tried to match photos with a GPS track log and ended up with pictures placed miles away from where they were taken. If your photos don’t line up with your GPS track log, or show up in the wrong place on the map, the camera clock is almost always the reason.

You might have been standing at a scenic overlook… but your photos show up a few steps or streets away—or even in the wrong city entirely. That’s not a GPS problem. It’s a camera time problem.

HoudahGeo matches photos to locations by comparing photo timestamps with GPS track logs. If those timestamps are even slightly off, the resulting locations will be too.

The Camera Setup window in HoudahGeo 7 exists for one reason: helping HoudahGeo understand how your camera recorded time. Once that’s clear, HoudahGeo can accurately match your photos to GPS track points and place them on the map exactly where they belong.

Camera Clock Setup: Fast and Easy Way to Perfect GPS Sync

At first glance the window might look technical. In reality, it’s solving a very practical problem most photographers run into sooner or later — usually right after their first trip where they forgot to update the camera clock.

Here’s how each part works, and a few tips to make it go smoothly.

Continue reading Getting Camera Time Right to Match Photos with GPS Track Logs

HoudahSpot + Finder: All the File Management You Actually Need

A thread on r/macapps caught my attention recently. The author had spent years using QSpace Pro and Bloom — two capable third-party file managers — before deciding to ditch them both. The reason wasn’t missing features. It was RAM.

Both apps routinely consumed over a gigabyte of memory, making them the heaviest apps running outside of a browser.

Their solution: go back to Finder, then layer a handful of focused utilities on top. One of the utilities they listed was HoudahSpot.

That framing resonated with me. HoudahSpot was never designed to replace Finder. It was designed to do the one thing Finder search can’t do well: let you find files using precise, composable criteria.

What Finder search gets right — and where it falls short

Finder’s built-in search is fine for simple cases. Type a name, pick a folder, get results. For many people, most of the time, that’s enough.

But Finder makes it unnecessarily difficult to build precise, needle-in-a-haystack searches. Worse, it forgets all settings and criteria between searches — it doesn’t adapt to your workflow at all.

HoudahSpot main search window
When trying to wrangle a large number of files, Finder keeps you searching and guessing. HoudahSpot, on the other hand, helps you interactively refine your searches until you zero in on the files you need.

Finder also makes no distinction between a one-off lookup and a task you repeat every month. It assumes you’re searching by name or text content, while you may find yourself repeatedly searching by image dimensions, audio sample rate, or dozens of other metadata fields Spotlight actually knows about.

That’s the gap HoudahSpot was built to fill. HoudahSpot remembers. It lets you save task-centered searches as templates and stash ready-made search criteria as snippets.

Continue reading HoudahSpot + Finder: All the File Management You Actually Need

HoudahGeo 7.0 Video Tutorial

Todd Oltoff over at ScreenCastsOnline just published a full walkthrough of HoudahGeo 7, and it’s one of the more thorough tutorials we’ve seen of the app.

ScreenCastsOnline has been around for over 17 years and has built a solid reputation as a go-to resource for Apple software tutorials.

Their video goes through the entire HoudahGeo workflow from start to finish — loading photos from a camera or SD card, syncing a GPX track log to place images on a map, reverse geocoding coordinates into actual place names, and writing everything back to your files (or XMP sidecars, if you prefer).

Continue reading HoudahGeo 7.0 Video Tutorial

Iteratively Refining Searches in HoudahSpot

When you don’t quite remember where your files are—or what exactly they were called—your best strategy is often to begin broad and narrow as you go. HoudahSpot excels at this workflow. It gives you powerful tools to incrementally refine a search based on what you see in the results.

This post walks through a highly effective technique: start with a flood of matches, then prune and shape your search using what you learn from those results. Along the way, we’ll use drag-and-drop shortcuts, location pruning, and Find by Example to quickly zero in on the files you want.

Start Broad: Let the Results Flow In

Begin by typing a few words into the main search field.
These might be:

  • Terms you expect in file names

  • Words likely to appear in text content

  • Keywords that “should” narrow things down—but maybe not enough


HoudahSpot search window showing a broad search with thousands of results

Hit Return and watch the results roll in. HoudahSpot will typically return thousands of matches. That’s fine—we want this. The next steps are all about sculpting this mass of information into something manageable.

As the results come in, use:

  • Metadata columns to sort and surface patterns

  • Quick Look preview to confirm visual relevance

  • Text preview to check keyword context

You’re not trying to find the right file yet. You’re scanning for clues.

Continue reading Iteratively Refining Searches in HoudahSpot

Supercharge Your DEVONthink 4 Search with HoudahSpot

If you manage a large collection of documents—research notes, reference material, project files—you already know that search matters just as much as storage. DEVONthink 4 is excellent at organizing and connecting
information, while HoudahSpot offers one of the most flexible search interfaces on macOS. Used together, they turn searching into something both faster and more precise.

What Each Tool Does Best

DEVONthink 4 is built for serious document management and knowledge work. It helps you:

  • Organize large document collections with intelligent filing
  • Create meaningful links between related items
  • Store PDFs, web archives, emails, bookmarks, and more
  • Surface relevant content using AI-assisted features
  • Build a long-term personal knowledge base

HoudahSpot takes macOS Spotlight and makes it far more powerful. It gives you:

  • A visual, criteria-based query builder
  • The ability to combine many file attributes in a single search
  • Reusable search templates for recurring tasks
  • Flexible rules for searching across locations and file types
  • A focused interface that avoids Finder’s clutter

The Gap: Searching Across Everything

DEVONthink’s built-in search is strong, but there are times when you want more control. For example, you might want to:

  • Search multiple DEVONthink databases alongside regular files
  • Combine criteria that aren’t easy to express in DEVONthink’s UI
  • Use the same search interface for all your data
  • Reuse carefully tuned searches for common tasks
  • Filter quickly by attributes like date, size, or document type

That’s where HoudahSpot comes in. Continue reading Supercharge Your DEVONthink 4 Search with HoudahSpot

Find by Example — How to locate files fast when Finder fails

If you’ve ever searched for a file on your Mac using Finder (or even the Spotlight window) but come up empty — or you got tens of thousands of hits and still couldn’t find what you meant — you need a better approach. That’s where Find by Example in HoudahSpot comes in: you tell HoudahSpot “show me files like this one,” and it instantly narrows the search to mirror the example file’s properties.

I want files like this one.

HoudahSpot find by example interface: Mac file search results using example file
Continue reading Find by Example — How to locate files fast when Finder fails

No GPS Track? Create a Visual Journey from Geotagged Photos with HoudahGeo

HoudahGeo geocodes and geotags your photos and videos, embedding location information directly into the EXIF or XMP metadata—just like a GPS-enabled camera. If you’ve recorded a GPS track using a dedicated device or a smartphone app, HoudahGeo can precisely match your photos to locations along your route.

This makes it easy to see where each photo was taken and even export a Google Earth (KML) file to view your images placed along the recorded track.

But what if you didn’t record a GPS track?

These days, most of us rely on smartphones for photography. Fortunately, most modern phones automatically geotag your photos with location data. Even without a separate GPS track log, this metadata allows HoudahGeo to reconstruct a visual path of your journey.

Turn Geotagged Photos Into a Track Log

HoudahGeo can generate a track log from geotagged photos, linking them in the order they were taken. This creates a path that approximates your travels and places each photo at its location—perfect for viewing in Google Earth or mapping your trip retrospectively.

Create a GPS track log from photos
Create a GPS track log from photos

Continue reading No GPS Track? Create a Visual Journey from Geotagged Photos with HoudahGeo