diff --git a/ocr/README.md b/ocr/README.md
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+++ b/ocr/README.md
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+"""Get image timestamps from Swift camera"""
+
+import os
+from glob import glob
+from datetime import datetime
+from tqdm import tqdm
+from PIL import Image
+import pandas as pd
+import pytesseract
+
+input_dir = 'jpg'
+
+jpg_names = glob(os.path.join(input_dir, '*.jpg'))
+dates = []
+
+for jpg_name in tqdm(jpg_names):
+    im = Image.open(jpg_name)
+
+    # Crop image
+    w, h = im.size
+    im = im.crop((w - 550, h - 40, w, h))
+
+    # Perform OCR with tesseract
+    text = pytesseract.image_to_string(im, lang='eng')
+
+    # Convert to datetime object
+    dates.append(datetime.strptime(text, '%d/%m/%Y %H:%M:%S'))
+
+# Save as csv
+df = pd.DataFrame(data=dates, index=jpg_names, columns=['date'])
+df.index.name = 'file'
+df.to_csv('image-dates.csv')
diff --git a/ocr/image-dates.csv b/ocr/image-dates.csv
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+file,date
+jpg\0000-SYCR0314.jpg,2019-04-25 07:00:02
+jpg\0000-SYCR0315.jpg,2019-04-25 08:00:02
+jpg\0000-SYCR0316.jpg,2019-04-25 09:00:02
+jpg\0000-SYCR0317.jpg,2019-04-25 10:00:02
+jpg\0000-SYCR0318.jpg,2019-04-25 11:00:02
+jpg\0000-SYCR0319.jpg,2019-04-25 12:00:01
+jpg\0000-SYCR0320.jpg,2019-04-25 13:00:01
+jpg\0000-SYCR0321.jpg,2019-04-25 14:00:01
+jpg\0000-SYCR0322.jpg,2019-04-25 15:00:01
+jpg\0000-SYCR0323.jpg,2019-04-25 16:00:01
+jpg\0000-SYCR0324.jpg,2019-04-25 17:00:01
+jpg\0000-SYCR0325.jpg,2019-04-26 07:00:02
diff --git a/ocr/jpg/0000-SYCR0314.jpg b/ocr/jpg/0000-SYCR0314.jpg
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diff --git a/ocr/jpg/0000-SYCR0315.jpg b/ocr/jpg/0000-SYCR0315.jpg
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Binary files /dev/null and b/ocr/jpg/0000-SYCR0315.jpg differ
diff --git a/ocr/swift_ocr.py b/ocr/swift_ocr.py
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+"""Get image timestamps from Swift camera"""
+
+import os
+from glob import glob
+from datetime import datetime
+from tqdm import tqdm
+from PIL import Image
+import pandas as pd
+import pytesseract
+
+input_dir = 'jpg'
+
+jpg_names = glob(os.path.join(input_dir, '*.jpg'))
+dates = []
+
+for jpg_name in tqdm(jpg_names):
+    im = Image.open(jpg_name)
+
+    # Crop image
+    w, h = im.size
+    im = im.crop((w - 550, h - 40, w, h))
+
+    # Perform OCR with tesseract
+    text = pytesseract.image_to_string(im, lang='eng')
+
+    # Convert to datetime object
+    dates.append(datetime.strptime(text, '%d/%m/%Y %H:%M:%S'))
+
+# Save as csv
+df = pd.DataFrame(data=dates, index=jpg_names, columns=['date'])
+df.index.name = 'file'
+df.to_csv('image-dates.csv')