diff --git a/coastsnap/photoshop_registration.bat b/coastsnap/photoshop_registration.bat
new file mode 100644
index 0000000..49bb5f2
--- /dev/null
+++ b/coastsnap/photoshop_registration.bat
@@ -0,0 +1 @@
+"C:\Program Files\Adobe\Adobe Photoshop 2022\Photoshop.exe" -r "C:\Users\z5079346\OneDrive - UNSW\Projects\Coastsnap\coastsnap\photoshop_registration_all_sites.jsx"
\ No newline at end of file
diff --git a/coastsnap/photoshop_registration_all_sites.jsx b/coastsnap/photoshop_registration_all_sites.jsx
new file mode 100644
index 0000000..69b26e0
--- /dev/null
+++ b/coastsnap/photoshop_registration_all_sites.jsx
@@ -0,0 +1,318 @@
+// TO DO
+
+// Create another script that can run
+// for site in sites:
+    // for year in years:
+        // register_images()
+
+// VARIABLE DEFINITIONS
+
+// images_to_register        = All images to be registered for a given site and year (no target or seed)
+// batch_images_to_register  = Batch images to be registered (no target or seed)
+// batch_images_all          = Target, seed and batch images to be registered 
+
+var batch_size = 10;
+
+// Must use forwardslashes in filepath, not backslashes
+var batch_download_csv = File("C:/Users/z5079346/OneDrive - UNSW/Projects/Coastsnap_test/CoastSnap_Sites.csv")
+
+// retreive site names from batch_download.csv
+var csv_data=[];
+batch_download_csv.open('r');
+while(!batch_download_csv.eof){   
+    var InputLine = batch_download_csv.readln(); 
+    if(InputLine.length > 3) csv_data.push(InputLine);
+}  
+batch_download_csv.close();
+var site_names = csv_data.toString().split(",")
+
+// Images parent directory
+var parent_folder_path = "C:/Users/z5079346/OneDrive - UNSW/Projects/Coastsnap_test/Images_Test";
+
+var batch_images_to_register = []; // Used in exportLayersToPNG
+
+// Loop through sites
+for(var i=5; i<site_names.length; i+=5) {
+    var site_name = site_names[i];
+    var site_path = parent_folder_path + "/" + site_name;
+
+    // Retrieve target and seed images for the site
+    var target_folder = new Folder(site_path + '/Target Image');
+    var seed_folder = new Folder(site_path + '/Target Image' + '/Seed Images');
+    var target_image = target_folder.getFiles("Target.jpg");
+    var seed_images = seed_folder.getFiles("*.jpg");
+
+    // Retrieve processed image years for the site
+    var processed_folder = new Folder(site_path + '/Processed');
+    var processed_subFolders = processed_folder.getFiles()
+
+    // Loop through years 
+    for (var j = 0; j < processed_subFolders.length; j++) {
+        
+        var year = processed_subFolders[j].name.toString();
+
+        var processed_folder = new Folder(site_path + '/Processed/' + year);
+        var photoshop_folder = new Folder(site_path + '/Photoshop/' + year);
+        var processed_images_all = processed_folder.getFiles("*.jpg");
+        var photoshop_images = photoshop_folder.getFiles("*.jpg");
+    
+        // Ignore images in processed that have already been registered
+        var images_to_register = imagesNotRegistered(processed_images_all, photoshop_images);
+
+        // Register images in batches, to avoid reaching the image limit that causes photoshop to crash
+        for (var k = 0; k < images_to_register.length; k += batch_size) {
+            batch_register_images(k, site_path, site_name, images_to_register, target_image, seed_images);
+        } 
+    }
+}
+
+
+// This is the main function, responsible for calling photoshop functions
+// in a sequential order to register all_images
+function batch_register_images(batchIndex, site_path, site_name, images_to_register, target_image, seed_images) {
+
+    var batch_images_all = [];
+    batch_images_to_register = [];
+    batch_images_all.push(target_image[0])
+
+    for (var i = 0; i < seed_images.length; i++ ) {
+        batch_images_all.push(seed_images[i]);
+    }
+    
+    for (var i = batchIndex*1; i < batchIndex + batch_size; i++) {
+        if(i < images_to_register.length) {
+            batch_images_all.push(images_to_register[i]);
+            batch_images_to_register.push(images_to_register[i].name);
+
+        }
+    }
+
+    stackFiles(batch_images_all);
+    lockTarget();
+    selectAllLayers();
+    autoAlign();
+    var target_size = cropToTarget();
+    var target_width = target_size[0];
+    var target_height = target_size[1];
+
+    savePhotoshopDocument(site_path, site_name);
+    exportLayersToPNG(target_width, target_height, batch_images_to_register, seed_images); // Won't overwrite images that already exist
+
+    app.activeDocument.close(SaveOptions.DONOTSAVECHANGES)
+}
+
+
+function imagesNotRegistered(site_images_all, photoshop_images) {
+    
+    var site_images = [];
+
+    // Extract images that haven't been registered 
+    for (var i = 0; i < site_images_all.length; i ++) { // For each site image
+        var isRegistered = false;
+        for (var j = 0; j < photoshop_images.length; j++ ) {  // Check if already exists in photoshop images    
+            var site_name_CHECK = site_images_all[i].name.slice(0,-4) + '_CHECK.jpg';
+            if((site_images_all[i].name.toString() == photoshop_images[j].name.toString()) || (site_name_CHECK.toString() == photoshop_images[j].name.toString())) {
+                isRegistered = true;
+                break;
+            }
+        }
+        if(!isRegistered) { // If it doesn't, register it
+            site_images.push(site_images_all[i]);
+        }
+    }  
+    return site_images
+}
+
+function stackFiles(sFiles){  
+
+    var loadLayersFromScript = true;  
+    
+    var SCRIPTS_FOLDER =  decodeURI(app.path + '/' + localize('$$$/ScriptingSupport/InstalledScripts=Presets/Scripts')); 
+    
+    $.evalFile( new File(SCRIPTS_FOLDER +  '/Load Files into Stack.jsx'));   
+    
+    loadLayers.intoStack(sFiles, false);  
+    
+};
+
+function selectAllLayers() {
+
+    var desc = new ActionDescriptor();
+
+    var ref = new ActionReference();
+
+    ref.putEnumerated( charIDToTypeID('Lyr '), charIDToTypeID('Ordn'), charIDToTypeID('Trgt') );
+
+    desc.putReference( charIDToTypeID('null'), ref );
+
+    executeAction( stringIDToTypeID('selectAllLayers'), desc, DialogModes.NO );
+
+};
+
+function autoAlign() {
+
+    var desc = new ActionDescriptor();
+    
+    var ref = new ActionReference();
+    
+    ref.putEnumerated( charIDToTypeID('Lyr '), charIDToTypeID('Ordn'), charIDToTypeID('Trgt') );
+    
+    desc.putReference( charIDToTypeID('null'), ref );
+    
+    desc.putEnumerated( charIDToTypeID('Usng'), charIDToTypeID('ADSt'), stringIDToTypeID('ADSContent') );
+    
+    desc.putEnumerated( charIDToTypeID('Aply'), stringIDToTypeID('projection'), charIDToTypeID('Auto') );
+    
+    desc.putBoolean( stringIDToTypeID('vignette'), false );
+    
+    desc.putBoolean( stringIDToTypeID('radialDistort'), false );
+    
+    executeAction( charIDToTypeID('Algn'), desc, DialogModes.NO );
+        
+};
+
+function lockTarget() {
+    var layerRef = app.activeDocument.artLayers.getByName("Target.jpg")
+    layerRef.allLocked = true;
+    app.activeDocument.activeLayer.linkedLayers
+}
+
+
+// CROP 
+function cropToTarget() {
+    var layerRef = app.activeDocument.artLayers.getByName("Target.jpg")
+    app.activeDocument.crop(layerRef.bounds)
+    var theBounds = app.activeDocument.activeLayer.bounds;
+    var layerWidth = theBounds[2] - theBounds[0];
+    var layerHeight = theBounds[3] - theBounds[1];
+    return [layerWidth, layerHeight];
+
+}
+
+// TO BE IMPLEMENTED
+// function imageSize(layerRef) {
+
+// }
+
+// SAVE PHOTOSHOP DOCUMENT
+function savePhotoshopDocument(site_path, site_name) {
+    var PSdocumentFile = new File(site_path + '/' + site_name + '.psd');
+    app.activeDocument.saveAs(PSdocumentFile)
+}
+
+
+
+// EXPORT LAYERS TO IMAGES
+
+// $.evalFile(File(app.path + '/Presets/Scripts/Export Layers To Files.jsx'));
+function exportLayersToPNG(target_width, target_height, batch_images_to_register, seed_images){
+    if(!documents.length) return;
+    var doc = activeDocument;
+    var oldPath = activeDocument.path;
+    
+    var outFolder = new Folder(oldPath + "/Photoshop/" + year);
+    if (!outFolder.exists) {
+        outFolder.create();
+    }
+    
+    scanLayerSets(doc);
+    
+    function scanLayerSets(el) {
+
+        // // find layer groups
+        // for(var a=0;a<el.layerSets.length;a++){
+        //     var lname = el.layerSets[a].name;
+        //     if (lname.substr(-4) == ".jpg") {
+        //         saveLayer(el.layers.getByName(lname), lname, oldPath, true);
+        //     } else {
+        //         // recursive
+        //         scanLayerSets(el.layerSets[a]);
+        //     }
+        // }
+        
+        var layerToRegister = true;
+        // find plain layers in current group that are site images only (not target or seed)
+        for(var j=0; j<el.artLayers.length; j++) { // Loop through photoshop document layers (images)
+            var name = el.artLayers[j].name; 
+            layerToRegister = true;
+
+            // for (var i = 0; i < seed_images.length; i++ ) {
+            //     if((seed_images[i].toString() == name.toString()) || (name.toString() == 'Target.jpg')) {
+            //         layerToRegister = false;
+            //     }
+            // }
+            // if(layerToRegister) {
+                    
+            //     app.activeDocument.activeLayer = el.layers.getByName(name);
+            //     var theBounds = app.activeDocument.activeLayer.bounds;
+            //     var aligned_image_width = theBounds[2] - theBounds[0];
+            //     var aligned_image_height = theBounds[3] - theBounds[1];
+
+            //     var name_updated = name;   
+            //     // COMAPRE THE DIMENSIONS OF THE ALIGNED IMAGE WITH THE TARGET
+            //     // IF SIGNIFICANT DIFFERENCE (30%), TAG IMAGE WITH '_CHECK.jpg'
+            //     if((aligned_image_width/target_width) < 0.7 || (aligned_image_height/target_height) < 0.7) {
+            //         name_updated = name.slice(0,-4) + '_CHECK.jpg';
+            //     }
+
+            //     saveLayer(el.layers.getByName(name), name_updated, oldPath, false);
+            // }
+
+            for (var i = 0; i < batch_images_to_register.length; i++ ) { // Loop through batch_images_to_register 
+                if(batch_images_to_register[i].toString() == name.toString()) {
+                    
+                    app.activeDocument.activeLayer = el.layers.getByName(name);
+                    var theBounds = app.activeDocument.activeLayer.bounds;
+                    var aligned_image_width = theBounds[2] - theBounds[0];
+                    var aligned_image_height = theBounds[3] - theBounds[1];
+
+                    var name_updated = name;   
+                    // COMAPRE THE DIMENSIONS OF THE ALIGNED IMAGE WITH THE TARGET
+                    // IF SIGNIFICANT DIFFERENCE (30%), TAG IMAGE WITH '_CHECK.jpg'
+                    if((aligned_image_width/target_width) < 0.7 || (aligned_image_height/target_height) < 0.7) {
+                        name_updated = name.slice(0,-4) + '_CHECK.jpg';
+                    }
+
+                    saveLayer(el.layers.getByName(name), name_updated, oldPath, false);
+                }
+            }
+
+        }
+    
+    }
+    
+    function saveLayer(layer, lname, path, shouldMerge) {
+        activeDocument.activeLayer = layer;
+        dupLayers();
+        if (shouldMerge === undefined || shouldMerge === true) {
+            activeDocument.mergeVisibleLayers();
+        }
+        //activeDocument.trim(TrimType.TRANSPARENT,true,true,true,true);
+        var saveFile = File(path +"/Photoshop/"+year+"/"+lname);
+        SavePNG(saveFile);
+        app.activeDocument.close(SaveOptions.DONOTSAVECHANGES);
+    }
+    
+};
+    
+function dupLayers() { 
+    var desc143 = new ActionDescriptor();
+    var ref73 = new ActionReference();
+    ref73.putClass( charIDToTypeID('Dcmn') );
+    desc143.putReference( charIDToTypeID('null'), ref73 );
+    desc143.putString( charIDToTypeID('Nm  '), activeDocument.activeLayer.name );
+    var ref74 = new ActionReference();
+    ref74.putEnumerated( charIDToTypeID('Lyr '), charIDToTypeID('Ordn'), charIDToTypeID('Trgt') );
+    desc143.putReference( charIDToTypeID('Usng'), ref74 );
+    executeAction( charIDToTypeID('Mk  '), desc143, DialogModes.NO );
+};
+    
+function SavePNG(saveFile){
+    var pngOpts = new ExportOptionsSaveForWeb; 
+    pngOpts.format = SaveDocumentType.PNG
+    pngOpts.PNG8 = false; 
+    pngOpts.transparency = true; 
+    pngOpts.interlaced = false; 
+    pngOpts.quality = 200;
+    activeDocument.exportDocument(new File(saveFile),ExportType.SAVEFORWEB,pngOpts); 
+}
\ No newline at end of file
diff --git a/coastsnap/spotteron_batch_download.bat b/coastsnap/spotteron_batch_download.bat
new file mode 100644
index 0000000..d3fef71
--- /dev/null
+++ b/coastsnap/spotteron_batch_download.bat
@@ -0,0 +1,3 @@
+call activate coastsnap 
+python "C:\Users\z5079346\OneDrive - UNSW\Projects\Coastsnap\coastsnap\spotteron_batch_download.py"
+call conda deactivate
\ No newline at end of file
diff --git a/coastsnap/spotteron_batch_download.py b/coastsnap/spotteron_batch_download.py
new file mode 100644
index 0000000..928fbcf
--- /dev/null
+++ b/coastsnap/spotteron_batch_download.py
@@ -0,0 +1,285 @@
+"""
+Test download
+"""
+
+import datetime
+import re
+from pathlib import Path
+from urllib.parse import urljoin
+from os import path, makedirs
+
+import attr
+import pytz
+import requests
+#import typer
+import pandas as pd
+from loguru import logger
+from timezonefinder import TimezoneFinder
+from werkzeug.utils import secure_filename
+
+#app = typer.Typer()
+coastsnap_sites = pd.read_csv("C:/Users/z5079346/OneDrive - UNSW/Projects/Coastsnap_test/CoastSnap_Sites.csv")
+
+
+
+@attr.s()
+class SpotteronImage:
+    """
+    Parses the dictionary from the Spotteron API into an object to make it easier to
+    get the required parameters
+    """
+
+    raw_data = attr.ib()
+    site_name = attr.ib()
+
+    __img_url = "https://files.spotteron.com/images/spots/"
+
+    def exists(self, folder):
+        """
+        Check if image has already been downloaded
+        """
+        folder = path.join(folder, str(self.dt.year))        
+        output_filepath = Path(folder, self.output_filename)
+                
+        if output_filepath.is_file():
+            return True
+        else:
+            return False
+
+    def save(self, folder):
+        
+        # Concatenate year to parent dir
+        # For example: "C:\Users\z5079346\OneDrive - UNSW\My files\CoastSnap\Images\alex\Processed" 
+        # + "\2022" 
+        folder = path.join(folder, str(self.dt.year))
+        
+        # Check if the folder already exists
+        if not path.exists(folder):
+            makedirs(folder)
+
+        # Concatentate filename to parent dir
+        # For example: "C:\Users\z5079346\OneDrive - UNSW\My files\CoastSnap\Images\alex\Processed\2022" 
+        # + "\1641158046.Mon.Jan.03_07_14_06.AEST.2022.alex.snap.Raymond_b.jpg"
+        output_filepath = Path(folder, self.output_filename)
+        
+        logger.info(f"Downloading {output_filepath}")
+        response = requests.get(self.url, stream=True)
+        if response.status_code == 200:
+            with open(output_filepath, "wb") as f:
+                f.write(response.content)
+
+    @property
+    def id(self):
+        return self.raw_data["id"]
+
+    @property
+    def lat(self):
+        return self.raw_data["attributes"]["latitude"]
+
+    @property
+    def lon(self):
+        return self.raw_data["attributes"]["longitude"]
+
+    @property
+    def tz(self):
+        """
+        Finds timezone based on lon/lat
+        """
+
+        tf = TimezoneFinder()
+        return tf.timezone_at(lng=self.lon, lat=self.lat)
+
+    @property
+    def dt(self):
+        """
+        Parses 'spotted at' attributes and returns a timezone aware python datetime
+        """
+        spotted_at = self.raw_data["attributes"]["spotted_at"]
+        spotted_dt = datetime.datetime.strptime(spotted_at, "%Y-%m-%d %H:%M:%S")
+        spotted_dt_tz = pytz.timezone(self.tz).localize(spotted_dt)
+        return spotted_dt_tz
+
+    @property
+    def timestamp(self):
+        return datetime.datetime.timestamp(self.dt)
+
+    @property
+    def url(self):
+        """
+        URL to download the image
+        """
+        img_name = f"{self.raw_data['attributes']['image']}.jpg"
+        return urljoin(self.__img_url, img_name)
+
+    @property
+    def author(self):
+        author = self.raw_data["attributes"]["spotted_by_name"]
+
+        # Sanitize author and remove spaces
+        author = secure_filename(author)
+        author = re.sub(r"\s+", "", author)
+        return author
+
+    @property
+    def output_filename(self):
+        """
+        Define the name of the image depending on its properties. Optional site_name
+        can be included.
+        """
+
+        if self.site_name:
+            return (
+                f"{int(self.timestamp)}."
+                f'{self.dt.strftime("%a.%b.%d_%H_%M_%S.")}{self.dt.tzname()}.{self.dt.strftime("%Y")}.'
+                f"{self.site_name}.snap.{self.author}.jpg"
+            )
+        else:
+            print("Please provide a site-name. Otherwise file names won't follow the reccomended naming convention")
+            return (
+                f"{int(self.timestamp)}."
+                f'{self.dt.strftime("%a.%b.%d_%H_%M_%S.%z.%Y")}.{self.author}.jpg'
+            )
+
+
+@attr.s
+class Spotteron:
+    """
+    Refer to https://www.spotteron.com/docs/api/v2?topic_id=37&key=LDazWbK5n62lbNA4hRNHtLa6hkyqz6Tr
+    for API documentation
+    """
+
+    api_url = "https://www.spotteron.com/api/v2/spots"
+
+    def save_images(self, root_id, output_folder, site_name, limit, overwrite):
+
+        page = 1
+        n_downloaded = 0
+        while True:
+            json_data = self.get_data(page=page, root_id=root_id)
+            images = [
+                SpotteronImage(raw_data=x, site_name=site_name)
+                for x in json_data["data"]
+            ]
+
+            if not images:
+                logger.info("No images returned. Check correct root_id is supplied")
+
+            for img in images:
+
+                if img.exists(output_folder) and overwrite == False:
+                    logger.info("Existing images found. Stopping getting images")
+                    break
+                else:
+                    img.save(output_folder) # THIS SHOULD BE THE PARENT DIR
+                    n_downloaded += 1
+
+                if n_downloaded >= limit:
+                    logger.info(f"Downloaded limit of {limit} images. Stopping.")
+                    break
+
+            # Break out of the nested loop if we break on an image
+            else:
+                page += 1
+                continue
+            break
+
+            pass
+
+        logger.info("Download completed")
+
+    @classmethod
+    def get_data(self, page, root_id=None):
+        """
+        Gets the json data for a particular topic_id and root_id. Returns a dictionary
+        containing data returned by api.
+        """
+
+        # Defined by Spotteron for coastsnap stations
+        topic_id = 37
+
+        payload = {
+            "filter[topic_id]": topic_id,
+            "limit": 5,
+            "page": page,
+        }
+
+        if root_id:
+            payload["filter[root_id]"] = root_id
+
+        r = requests.get(self.api_url, params=payload)
+        return r.json()
+
+
+# @app.command()
+# def from_spotteron(
+#     root_id: int = typer.Argument(..., help="Spotteron id of Coastsnap station."),
+#     output_folder: str = typer.Argument(..., help="Path to save images to."),
+#     site_name: str = typer.Option(None, help="Add site to filename."),
+#     limit: int = typer.Option(30, help="Max number of images to save."),
+#     overwrite: bool = typer.Option(False, help="Overwrite downloaded images?"),
+# ):
+    """
+    Downloads images from Spotteron API and saves to folder
+    
+    """
+def from_spotteron(root_id, output_folder, site_name, limit, overwrite):
+    spot = Spotteron()
+    spot.save_images(root_id, output_folder, site_name, limit, overwrite)
+
+
+
+# @app.command()
+# def from_spotteron_batch(
+#         overwrite: bool = typer.Option(False, help="Overwrite downloaded images?"),
+#         ):
+#     """
+#     Downloads images from Spotteron API for all beaches specified in batch_download.csv 
+#     """
+    
+#     #all_beaches = pd.read_csv(r"C:\Users\z5079346\OneDrive - UNSW\Code\coastsnap\coastsnap\spotteron_batch_download\batch_download.csv")
+    
+#     # Retrieve Parent Directory in batch_download.csv
+#     parent_directory = coastsnap_sites.parent_directory[0] 
+#     print(parent_directory)
+    
+#     for index, beach in coastsnap_sites.iterrows():
+        
+#         # Concatentate the parent directory, site name and 'Processed'
+#         # to create the output site_path
+#         site_name = beach.site_name
+#         site_path = path.join(parent_directory, site_name, 'Processed')
+        
+#         # Download the images for a given site
+#         logger.info(f"Downloading images for {beach.site_name}")
+#         from_spotteron(beach.root_id, site_path, site_name, limit = beach.limit, overwrite = overwrite)
+
+# if __name__ == "__main__":
+#     app()
+    
+#overwrite: bool = typer.Option(False, help="Overwrite downloaded images?"),
+#    ):
+"""
+Downloads images from Spotteron API for all beaches specified in batch_download.csv 
+"""
+
+#all_beaches = pd.read_csv(r"C:\Users\z5079346\OneDrive - UNSW\Code\coastsnap\coastsnap\spotteron_batch_download\batch_download.csv")
+
+# Retrieve Parent Directory in batch_download.csv
+parent_directory = coastsnap_sites.parent_directory[0] 
+print(parent_directory)
+
+for index, beach in coastsnap_sites.iterrows():
+    
+    # Concatentate the parent directory, site name and 'Processed'
+    # to create the output site_path
+    site_name = beach.site_name
+    site_path = path.join(parent_directory, site_name, 'Processed')
+    
+    # Download the images for a given site
+    logger.info(f"Downloading images for {beach.site_name}")
+    from_spotteron(beach.root_id, site_path, site_name, limit = beach.limit, overwrite = False)
+
+
+
+
+
diff --git a/coastsnap/tag_registered.py b/coastsnap/tag_registered.py
new file mode 100644
index 0000000..c44224c
--- /dev/null
+++ b/coastsnap/tag_registered.py
@@ -0,0 +1,210 @@
+"""
+test register cli
+"""
+import datetime
+import shutil
+from enum import Enum
+from functools import cached_property
+from itertools import product
+from pathlib import Path
+
+import attr
+import cv2
+import numpy as np
+import pandas as pd
+import typer
+from loguru import logger
+from moviepy.editor import *
+
+from utils import divide_chunks, datenum_to_datetime, nearest
+
+from PIL import Image, ImageFont, ImageDraw
+import os
+from time import strptime
+from dateutil import tz
+
+import openpyxl
+import scipy.io as sio
+from datetime import datetime, timedelta
+
+# Enables command-line interface
+app = typer.Typer()
+
+#-----------------------------------------------------------------------------#
+#          Update this file path for Image Tagging - Tide Data
+# Example: parent_dir = '/Users/admin/OneDrive - UNSW/My files/CoastSnap/'
+
+parent_dir = r"C:\Users\z5079346\OneDrive - UNSW\My files\CoastSnap"
+
+#-----------------------------------------------------------------------------#   
+
+@app.command()
+def tagging(
+    folder: Path = typer.Argument(None, help="Folder with images"),
+    photoshop: bool = typer.Option(True, help="Have these images been registered with photoshop?"),
+    tide: bool = typer.Option(False, help="Do you want to add the tide to the image tag?")
+
+):
+    """
+    Tags images based on file name.
+    - Requires font file in coastsnap/fonts directory
+    """
+
+    from PIL import Image, ImageFont, ImageDraw # Throws errors if this isn't here..
+
+    # Get image paths
+    img_paths = [x for x in Path(folder).glob("*.jpg")]
+    img_names = [str(x) for x in img_paths]
+    logger.info(f"Tagging {len(img_names)} images")
+    
+    # Initialise white text box
+    rect_height = 1
+    width = 1
+
+    # Check whether the directory 'tagged' exists or not
+    path_name = img_names[0] 
+    tagged_dir = str(Path(path_name).parent) + '/tagged'
+    isExist = os.path.exists(tagged_dir)
+    if not isExist:
+      # Create a new directory because it does not exist 
+      os.makedirs(tagged_dir)
+
+
+
+    # # Set Image Label Info Based on Target Image
+    # target_image_path = str(Path(path_name).parent.parent.parent) + r"\Target Image\Target.JPG"
+    # print(target_image_path)
+    # image = Image.open(target_image_path)
+    # img_fraction = 0.6 # Change this to change the font size
+    # fontsize = 1
+    
+    # # White Text Box 
+    # width, height = image.size
+    # rect_height = height/20
+    # rect_width = width/1.5            
+    # font = ImageFont.truetype("fonts/Courier New Bold.ttf", fontsize) 
+
+    # while font.getsize(txt)[0] < img_fraction*image.size[0]:
+    #     # iterate until the text size is just larger than the criteria
+    #     fontsize += 1
+    #     font = ImageFont.truetype("fonts/Courier New Bold.ttf", fontsize) 
+
+    #"C:\Users\z5079346\OneDrive - UNSW\My files\CoastSnap\Images\cathieillaroo\Registered\2022"
+    #"C:\Users\z5079346\OneDrive - UNSW\My files\CoastSnap\Images\cathieillaroo\Target Image\Target.JPG"
+
+
+
+    # Tide Data
+    if tide:
+        # Retrieve the site name from the first image
+        filename = Path(img_names[0]).name
+        if photoshop == True:
+            fname = filename[6:-4] 
+        else:
+            fname = filename
+        filename_list = fname.split(".")
+        site_name = filename_list[6]
+        
+        # Retrieve tide data for the given site
+        db = openpyxl.load_workbook(parent_dir + "Database/CoastSnapDB.xlsx")
+        beach_data = db[site_name]
+        tide_filename = beach_data["B24"].value
+        mat_path = parent_dir + 'Tide Data/' + tide_filename
+        print("Loading tide data... (this may take half a minute)")
+        mat = sio.loadmat(mat_path)
+        tide_dict = mat['tide']
+        ts = tide_dict[0][0] # Format of tide/time Matlab data is gross
+        tt = list(ts[0])     # ts[0] = tides, ts[1] = times, ts[2] = 
+        tide_times = [datenum_to_datetime(i) for i in tt]
+      
+    fontsize = 1
+    for index, img in enumerate(sorted(img_names)):
+        print("Image " + str(index+1))
+        filename = str(Path(img).name)
+        image = Image.open(img)
+        draw = ImageDraw.Draw(image)
+        
+        
+        # Retrieve tag information from file name
+        if photoshop == True:
+            fname = filename[6:-4] 
+        else:
+            fname = filename
+        
+        filename_list = fname.split(".")
+        posix_time = filename_list[0]
+        date = filename_list[3].split("_")
+        hour = date[1]
+        minute = date[2]
+        second = date[3]
+        day = date[0]
+        month = '{:02d}'.format(strptime(filename_list[2],'%b').tm_mon) # Ensure 2-digit format
+        year = filename_list[5]
+        timezone = filename_list[4]
+        if 'snap' in filename_list:
+            contributor = filename_list[8] # Mitch filename format
+        else:
+            contributor = filename_list[6] # Leaman filename format
+        
+        # Retrieve tide data 
+        if tide:
+
+            # Account for daylight savings
+            # ASSUMPTION: All .mat tide files are in AEST. 
+            if timezone == 'AEDT':
+                hour = str(int(hour) - 1)
+            date_string = year + '-' + month + '-' + day + ' ' + hour + ':' + minute + ':' + second
+            img_datetime = datetime.strptime(date_string, "%Y-%m-%d %H:%M:%S") # Image date/time as a datetime object
+            
+            tide_date = nearest(tide_times, img_datetime)
+            mat_index = tide_times.index(tide_date)  # Retrieve the index of the .mat tide/time
+            mat_tide = round(ts[1][mat_index][0], 2) # Associated tide
+            
+            print('Image date/time: ' + date_string)
+            print('Tide record:     ' + str(tide_date))
+        
+        
+        # Image tag
+        if tide:
+            txt = ('Date:' + year + '/' + month + '/' + day +  
+                   ' Time:' + hour + ':' + minute + 
+                   ' Contributor:' + contributor + 
+                   ' Tide:' + str(mat_tide) + 'm AHD')
+        else:
+            txt = ('Date:' + year + '/' + month + '/' + day +  
+                   ' Time:' + hour + ':' + minute + 
+                   ' Contributor:' + contributor)
+
+        
+        # Set the fontsize, such that the tag covers 50% the width of the first image
+        if index == 0:
+            img_fraction = 0.6 # Change this to change the font size
+            
+            # White Text Box 
+            width, height = image.size
+            rect_height = height/20
+            rect_width = width/1.5            
+            font = ImageFont.truetype("fonts/Courier New Bold.ttf", fontsize) 
+
+            while font.getsize(txt)[0] < img_fraction*image.size[0]:
+                # iterate until the text size is just larger than the criteria
+                fontsize += 1
+                font = ImageFont.truetype("fonts/Courier New Bold.ttf", fontsize) 
+        font = ImageFont.truetype("fonts/Courier New Bold.ttf", fontsize)
+        
+        # Create white text box
+        draw.rectangle((0, 0, width, rect_height), fill='white')
+
+        # Tag image with text
+        draw.text((20, rect_height/4),txt, font = font, fill=(0, 0, 0)) 
+        
+        new_name = fname[:-4] + '_registered.jpg' 
+        print(new_name + '\n')
+        new_path = tagged_dir + "/" + new_name
+        image.save(new_path)
+        
+    logger.info(f"Tagged Images Saved")
+
+if __name__ == "__main__":
+    app()
+