In this 10-minute video, Don McAllister gives you a tour of Tembo and highlights what makes Tembo unique. Sometimes good things come in small packages. This adage applies equally to this screencast and to Tembo.
Geocoding using GPS data is arguably the quickest method of adding location information to photos. The GPS data comes in the form of a tracklog file recorded by a GPS device or smartphone app. Every few seconds a record of the current time and location is added to the tracklog.
Besides location coordinates, the GPS device can record additional information like altitude, heading, or speed. When HoudahGeo matches photos to the tracklog it can copy both location coordinates and such additional information to photo metadata.
At the same time, some cameras have sensors that can provide such additional information even when not using a GPS receiver to add location coordinates to a photo.
A compass built into the camera body can, for example, provide viewing direction information. This would be more accurate than a view direction computed from the direction of travel between to locations recorded in the tracklog.
When the same information is available from two sources – the GPS tracklog and photo metadata – you are left with the choice of which to trust.
Summer is here. Summer holidays are just around the corner. This is the time of year when many of us usually plan to travel and explore the world. Not so this year.
Explore. Reminisce. Show
This year we can reminisce about past travels and adventures. This summer we can dig into our well-organized photo collections. Photos organized by location now allow us to virtually jump around the globe and through time. We can explore photos in Google Earth to feel teleported to places we had the luck to visit. With photos pinned to precise map locations, we can retrace our steps in Google Maps. Nothing refreshes the memory like photos combined with the aerial views that reveal how the individual pictures connect.
When we refer to time we can say “It’s 2 PM”. This is easy enough to understand. It is early afternoon at our current location.
Digital cameras record date and time in a similar manner. When you load a photo onto your computer, you can see the time as recorded by the camera: 2 PM. The computer, however, cannot make much sense of this information. It is missing an important clue: location or time zone. For all it knows, “2 PM” could mean early afternoon in Hawaii or early afternoon in New York. A 6-hour difference!
What’s more, the camera clock may not actually have the correct time. You could have forgotten to set it as you traveled through time zones. Your photo of the New York night sky could indeed show a “2 PM” camera time.
We thus face two tasks:
Set the correct time on the photo. E.g. “2 PM Hawaiian time”
Make that time look “right”. E.g. “8 PM New York time”
HoudahSpot by Houdah Software is a powerful file search tool for macOS. It takes the guesswork out of Spotlight searches and helps you find files hidden deep in the “haystack” of files accumulated over the years.
Service Station can put HoudahSpot at the top level of the Finder context menu. You can then right-click or control-click a selection of folders in Finder and start a new HoudahSpot search within these folders.
HoudahGeo 6 is an application packed with features to help geocode and add metadata to your photos. With its simple steps of Load, Process, and Output; with all of the features packed in each of these steps HoudahGeo is the application that could start your entire photo workflow and it is the first application that launches when I load my photos to make sure I have all of the metadata embedded in the images themselves so that that data will follow the photo into any photo management application I choose to use.
Todd walks you through the various ways to get photos into HoudahGeo and then covers all of the steps from geocoding, over exporting metadata, to sharing and publishing. Todd does an excellent job describing the many features and finer details. We recommend all HoudahGeo users watch this tutorial.
It’s already been a year since we released HoudahSpot 5.0. In that time HoudahSpot saw a series of minor updates bring enhancements, compatibility with macOS 10.15 Catalina, and – yes – bug fixes.
HoudahSpot 5.1 adds a handful of improvements. These are not so much features as seemingly small tweaks that will delight you by subtly improving your file searching experience.
Enhanced Quick Look Preview
XMP sidecars are files that sit next to image files to hold metadata like location information, keywords, and description. Precisely this rich information sometimes makes it easier to find the sidecars than the actual image files. Yet it is the images we want to see. Quick Look preview in HoudahSpot 5.1 locates the image file associated with the XMP sidecar and uses that image for a preview.
DEVONthink is a smart document management solution for Mac. It can catalog, organize, and work with any type of file. When HoudahSpot 5.1 comes upon a DEVONthink item it will call upon Quick Look to show a preview of the cataloged file.
“It’s the little details that are vital. Little things make big things happen.” – John Wooden
In HoudahSpot, search templates serve as starting points for searches that you perform repeatedly.
HoudahSpot comes with a set of sample templates. These include, for example, a template for finding photos. This template is set up to search for image files having a resolution of at least 7 MP. Search results show image previews. The Refine pane is pre-configured for searches by camera make and model, ISO speed, and flash settings. To find photos you just need to fill in the blanks and start the search.
Templates can also act as dynamic file lists. The Recent Files template, for example, lists files used or modified within the last 7 days.
You will certainly create your own templates or customize the sample templates to fit your needs. You may, for example, want to update the My Photos template to search only for files matching your camera make and model.
As templates become a central part of your workflow, you will want quick access to your favorite ones.