In this tutorial, Angie Birmingham walks viewers through the Excire Foto application as a solution for managing massive photo collections. She begins by describing the common problem of overwhelming photo libraries and then gives a live tour of the Excire interface, showing folders, results, and database statistics (over 38,000 pictures indexed). She shares performance benchmarks, noting that 146,315 files were processed in about 3.5 hours and a 15,745‑photo download in 24 minutes. The demo highlights key features: keyword and face searches (e.g., polar bears from a Svalbard trip, people, cocktails, astronomy), duplicate detection, and smart tagging. Angie also shows how to correct mis‑tagged images by deleting or editing tags (raccoon vs. badger, bear, bobcat, etc.). She explains the workflow for adding new folders and initiating analysis, and she promotes a 14‑day free trial with a 15 % discount code “Angie Birmingham.” The video concludes with a call to action to watch related videos and subscribe.
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Do you find yourself overwhelmed with photo files? Well, I do. Do you spend hours looking for that one photo? I do. Would you like to manage your growing collection of photo files? I do. Well, stay tuned and I'll show you How to do it? Very simple, in no time at all. Don't forget to like and subscribe and ring my bell so you'll get notified the next time I post a video. All right, let's jump into Exire now. All right, so here we are in Exire. Let me just kind of show you around here. Okay, so here you've got your folders, and here you've got results, and then here you have databases, which I've got at the moment. It shows you how many files or photos you have in here. I have 38,141 pictures in here so far. Recently added was 15,680. Let me just show you. I did 2 separate downloads. So if you want to take control of your out-of-control photo library, you can try Excire for 14 days free trial. And then if you decide that you want to buy it, you can use my code Angie Birmingham and you will get 15% off your purchase. There's a link below for your 14-day free trial and also the code to get 15% off. So let me just tell you a little bit about my experience with Excire. So I am currently working on finishing up my book, but I'm trying to find photos, specific photos that I've taken for the book when I've been out on different adventures and such, and I couldn't find them. I thought I had filed them under book or in certain files that— so I could easily go back and find them. Well, I couldn't remember what I filed them under. So anyways, long story short, I was searching the internet for an easy program to organize all my photos and that I could type in keywords and search And I came across this Exire, and come to find out that Exire and Luminar Neo were together in the same booth at the PPA convention that I was just at. So I got to visit with Exire, and they are great people, and this program has just blown me away. I just— it's just so easy to use, and I love How I'm able to find images that would have been lost in my probably half a million images, which I'm working on reducing my library by deleting a bunch of duplicates, which this program also does. It'll show you all your duplicates. And here is screen snapshots of the status and how long it took. Oh, this was on my other computer. I had done 1,400— I'm sorry, 146,315 files, and that was all of one of my hard drives. And 37 of the photos could not be analyzed for some reason or not. And the amount of time that it took to do that many photos was only about 3 and a half hours, which was Amazing, in my opinion. And then the download that I just did took it 24 minutes to do 15,745 photos. And that is the download that we are going to use as our example today. That was my Salbar trip that we downloaded. And you can see here it analyzed this Fillmore bird. So it's got it under animal, bird, colorless, low contrast, and it has it classified as a seagull, which is pretty good. I guess Fillmores are probably in the seagull, in the seagull family, even though technically a seagull is not a seagull. It's just a goal, but we won't go there. Um, so let's see, we want to do a search. Let's go up here. We could search by text, so we could type in polar bear. And right here on the settings, you can choose Uh, we'll do pretty strict, and maximum number of pictures that it will come back with in the result is 50,000. Hope I don't have 50,000 pictures of a polar bear. All right, let's do the search. Drum roll, and voilà, I have 12,000 pictures of polar bears in my collection from Svalbard. If you haven't already watched it, it's a kind of an interesting video on my YouTube channel. It was part 1 of our Svalbard trip. I haven't had an opportunity yet to finish up the other parts, but I most certainly will. So yeah, it did a pretty good job coming back with polar bears. So let's do another search. Let's search for— let's search for people. So we're going to start off with any people, and we'll start the search. There we go. We got people sitting around a campfire. We got Jeff and I. You got me. And I'm not sure who that guy is. Oh, my daughter in a, in a wagon, in a coffin. So let's see here, let's look for— actually, let's go back. Let's not do whole database. Let's do just the current selection. Nope, I guess I got to go back to the folder. I'm still learning this along with y'all. So we'll go here, we'll go cell bar, and then we'll go up here and search for people. There we go, current view Folder and collection. There we go. So we got Jason, we got a boat full of people. Let's see, let's see if we can pick out the face. We're gonna go for— This one. We're gonna go and we're gonna try to find Amy. So let's give that a shot. See— oh, there we go. Did a really good job of finding her amongst all of these pictures. No, that's not her. That's not her. But I would say overall it did a really good job. All right, so let's jump back over here to folder. We'll go into this one, go into pictures that are on my computer, and we'll go into Keyword search. So you got animals, architecture, drink. We can find a drink. Let's try to find a cocktail on my computer. See if I have a picture of a cocktail. Look at that! I've got pictures of cocktails on my computer. Okay. All right. Let's try something else. Let's go keyword. Let's, let's go nature. Oh, here we go. Astronomy. We'll get rid of cocktails. And let's start our search. There we go. There's some nighttime pictures of mine. Some of these aren't mine. I don't know where these came from. Interesting, but they're on my computer. Alright, so anyways, so to download a file, you go right here to Add, go over here to Browse. And let's go over here to my— let's go to this hard drive and we will put in— let's put this— let's do this here. I don't think there's a lot of pictures in that folder, but we'll see. So it goes through a little preparing, goes through 1 of 5 steps. Okay, now it's gonna find the photos. Collecting all the photos. Definitely had a lot more photos in that file than I thought I did. Okay, so now it's going through and it is registering the 8,900— I'm sorry, 8,891 photos. And in the very last step, it goes through and analyzes every single one of those photos. So while we're letting it do this, I just want to tell you a little bit about, um, Excire. It will find faces, subjects, locations, and even emotions on people's faces. You want to just find a beach picture? Just type in beach and Excire will instantly present you with them. When it goes through and analyzes all of the pictures, the very last step that it does, it goes through and does smart tagging like you saw there on the Filmora that had seagull and bird and animal. And that's what it does. It goes through every single one of the images. It does it fairly quick too. Puts tags on each one of the photos of what it is. And if you're going through your, your photos and you notice that it's been tagged improperly, you can actually just delete that tag. While it's going through this, I will show you an example. So we're going to find it by keywords. We're going to go in here to animals. We're gonna go mammal, and we're gonna go and try to find a— here we go, raccoon. Search. Okay, so there's some raccoons. So if you click on raccoon, it has it labeled as an animal. Colorless, mammal, predator, raccoon. So let's see if there's anything in here that is not a raccoon. Oh, here we go. This, this is definitely not a raccoon, so we'll just go in here and we will delete that, and we'll just type in badger. Since that's what it is. Oh, I guess I gotta wait until the current task is done. That's my problem, is I always try to get ahead of myself. So that there is definitely not a raccoon either, or those. So there's a couple of things in here that you could Untag. That's definitely not a raccoon, that's a bear. Let's just go ahead and fast forward through this. Keywords. We're gonna go into— we're not gonna find a badger. I know there's a bobcat in here, so let's see. I'm gonna search. We're just searching for cat, see what it comes up with. Roadrunner. There it is. There's the bobcat. So we'll go into these roadrunners here, and we will remove the big cat, the leopard, the mammal, I guess it's kind of a predator. They eat snakes. All right, so let's just go in here and we'll select all of these roadrunner shots and we'll do the same to all of them. We're going to remove big cat, cheetah, not a hawk, and not a leopard. Not a mammal. It's a bird. Okay, and we'll check these. So that bobcat is not a cheetah. Kind of looks like a little mini cheetah though, doesn't he? All right, so that is your Exire. Thanks for watching. Make sure you catch this video here. And if that's not the video you want to watch, try this one. Catch you on the next video. Have a great day.
