feat: implement OCR service using Tesseract for image text extraction

backend/services/ocr_service.py

@@ -1,25 +1,36 @@
-import pytesseract
-from PIL import Image
-from backend.core.logger import get_logger
-
-logger = get_logger(__name__)
-
-# 👇 ADD THIS LINE (VERY IMPORTANT FOR WINDOWS)
-# pytesseract.pytesseract.tesseract_cmd = r"C:\Program Files\Tesseract-OCR\tesseract.exe"
-
-
-def extract_text_from_images(image_paths):
-    logger.info(f"Starting OCR extraction for {len(image_paths)} images")
-    texts = []
-
-    for path in image_paths:
-        try:
-            logger.info(f"Processing image: {path}")
-            img = Image.open(path)
-            text = pytesseract.image_to_string(img)
-            texts.append(text)
-        except Exception as e:
-            logger.error(f"Error processing image {path}: {str(e)}")
-            texts.append("")
-
-    return "\n".join(texts)
+import pytesseract
+from PIL import Image
+
+from backend.core.logger import get_logger
+
+logger = get_logger(__name__)
+
+
+def extract_text_from_images(image_paths):
+    texts = []
+
+    logger.info(f"OCR STARTED FOR {len(image_paths)} IMAGES")
+
+    for path in image_paths:
+        try:
+            logger.info(f"OPENING IMAGE: {path}")
+
+            img = Image.open(path)
+
+            logger.info(f"RUNNING OCR ON: {path}")
+
+            text = pytesseract.image_to_string(img)
+
+            logger.info(f"OCR RESULT:\n{text[:1000]}")
+
+            texts.append(text)
+
+        except Exception as e:
+            logger.exception(f"OCR FAILED: {e}")
+            texts.append("")
+
+    final_text = "\n".join(texts)
+
+    logger.info(f"FINAL OCR TEXT:\n{final_text[:3000]}")
+
+    return final_text