Tag: macOS

Your Launcher Is Not a File Search App on macOS (And That’s Fine)

If you use Alfred, Raycast, or LaunchBar, you already know how powerful they are. Hit a hotkey, type a few letters, and you’re off — apps launch, calculations run, clipboard history appears.

These launchers are some of the best productivity tools available on macOS.

They can also help you find files on your Mac. But that’s where things can get a little confusing.

Launchers can include file search, but they’re designed primarily for fast name-based lookups, not for advanced file search. When you need to find files by metadata, content, date, or other attributes, a dedicated tool becomes much more useful.

What Launchers Do Well

When you type a file name into Alfred, Raycast, or LaunchBar, you’ll usually find it quickly. For the common case — “I know roughly what this file is called, I just want to open it” — launchers work extremely well.

They excel at fast, fuzzy matching and prioritizing recently used files. That makes perfect sense for an app launcher.

LaunchBar in particular goes further than most. Beyond launching apps, it’s also one of the best clipboard managers on macOS, with deep clipboard history, persistent clipping across restarts, and a keyboard-first design that rewards investment.

If you’re not using LaunchBar’s clipboard history, you’re leaving one of its best features on the table.

But when launchers search for files, they typically prioritize speed and convenience over structured search. They’re optimized for quickly opening something you already have in mind.

App Launchers vs Mac File Search App
Launchers help with quick file search. Deep dive needs a file search app.

Continue reading Your Launcher Is Not a File Search App on macOS (And That’s Fine)

HoudahSpot + Finder: All the File Management You Actually Need

A Reddit 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

Photos Workbench 1.6: Faster Photo Curation for Apple Photos

We’re happy to announce Photos Workbench 1.6, a performance-focused update that makes organizing and curating your photo library faster and more reliable.

If you use Photos Workbench alongside Apple Photos, this update improves the everyday workflows that matter most: browsing large libraries, comparing similar shots, and quickly identifying your best photos.

This release also follows closely on the heels of another major update: HoudahGeo 7.1, which introduced viewing direction and map improvements. Together, these updates continue our mission of making photo management on the Mac faster, clearer, and more enjoyable.

Photos Workbench for Apple Photos: Compare Photos Side by side
Compare photos, cull, and curate your Apple Photos library

Let’s look at what’s new.

Continue reading Photos Workbench 1.6: Faster Photo Curation for Apple Photos

HoudahGeo 7.1: Viewing Direction Comes to the Built-In Map

We are pleased to announce the release of HoudahGeo 7.1, a focused update that delivers one of the most requested features: visualization of viewing direction on the built-in map.

This release also:

  • improves map behavior with an off-screen target indicator
  • adds location coordinates copy & paste support from Apple Photos
  • introduces a French localization
  • and significantly reduces memory usage for photo previews.

Viewing direction indicator

    HoudahGeo 7.1 – viewing direction visualized on built-in map

Continue reading HoudahGeo 7.1: Viewing Direction Comes to the Built-In Map

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

HoudahSpot 6.7: Faster File Search, Now in Polish

You know that file is somewhere on your Mac. You’re pretty sure about the name. Maybe. Or at least part of it. Spotlight shows you a bunch of results that definitely aren’t it.

This happens to me more than I’d like to admit, which is why we keep working on HoudahSpot. Version 6.7 is out now.

What’s new in 6.7

Polish localization. Big thanks to Lukasz Preihs for translating the entire interface. If you work in Polish, HoudahSpot now speaks your language.

The Text Preview got faster. When you’re searching through documents or code, Text Preview shows you where your search terms appear, highlighted in context. I use this constantly—it saves you from opening a dozen files just to find the right one. In 6.7, we optimized how it loads and renders, especially for larger files. You’ll notice the difference if you search through a lot of text documents.

macOS 26 Tahoe compatibility. If you’re running the latest version of macOS, HoudahSpot just works. We still support back to macOS Mojave.

Continue reading HoudahSpot 6.7: Faster File Search, Now in Polish

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