diff --git a/api/routes.py b/api/routes.py
index 238b67f..74274a3 100644
--- a/api/routes.py
+++ b/api/routes.py
@@ -16,6 +16,9 @@ from .models import SonarrWebhook, RadarrWebhook, HealthResponse, TVSeasonReques
 # Import core utilities  
 from core.logging import _log
 from core.database import NFOGuardDatabase
+from core.fs_cache import fs_cache, clear_all_caches
+from core.xml_cache import xml_cache
+from core.batch_operations import optimize_library_scan
 
 
 async def _read_payload(request: Request) -> Optional[Dict[str, Any]]:
@@ -260,4 +263,61 @@ def register_routes(
     @app.post("/bulk/update")
     async def bulk_update():
         """Bulk update functionality"""
-        return {"message": "Bulk update - implementation needed"}
\ No newline at end of file
+        return {"message": "Bulk update - implementation needed"}
+
+    # Performance monitoring endpoints
+    @app.get("/cache/stats")
+    async def cache_stats():
+        """Get comprehensive cache performance statistics"""
+        fs_stats = fs_cache.get_cache_stats()
+        xml_stats = xml_cache.get_cache_stats()
+        
+        # Combine stats
+        combined_stats = {
+            "filesystem_cache": fs_stats,
+            "xml_processing_cache": xml_stats,
+            "overall_hit_rate": round(
+                ((fs_stats["cache_hits"] + xml_stats["xml_cache_hits"]) /
+                 (fs_stats["cache_hits"] + fs_stats["cache_misses"] + 
+                  xml_stats["xml_cache_hits"] + xml_stats["xml_cache_misses"]) * 100
+                ) if (fs_stats["cache_hits"] + fs_stats["cache_misses"] + 
+                      xml_stats["xml_cache_hits"] + xml_stats["xml_cache_misses"]) > 0 else 0, 2
+            )
+        }
+        
+        return combined_stats
+    
+    @app.post("/cache/clear")
+    async def clear_cache():
+        """Clear all caches"""
+        clear_all_caches()
+        return {"status": "success", "message": "All caches cleared"}
+    
+    @app.post("/scan/optimized")
+    async def optimized_scan(background_tasks: BackgroundTasks):
+        """Trigger optimized library scan using batch operations"""
+        try:
+            _log("INFO", "Optimized scan triggered via API")
+            
+            def run_optimized_scan():
+                # Combine all library paths
+                all_paths = list(config.tv_paths) + list(config.movie_paths)
+                existing_paths = [p for p in all_paths if p.exists()]
+                
+                if not existing_paths:
+                    _log("WARNING", "No valid library paths found")
+                    return
+                
+                # Run optimized scan
+                results = optimize_library_scan(existing_paths)
+                _log("INFO", f"Optimized scan complete: {results}")
+            
+            background_tasks.add_task(run_optimized_scan)
+            return {
+                "status": "started", 
+                "message": "Optimized library scan initiated",
+                "note": "Uses batch operations and caching for improved performance"
+            }
+        except Exception as e:
+            _log("ERROR", f"Optimized scan failed: {e}")
+            raise HTTPException(status_code=500, detail=f"Optimized scan failed: {str(e)}")
\ No newline at end of file
diff --git a/core/batch_operations.py b/core/batch_operations.py
new file mode 100644
index 0000000..3e6996e
--- /dev/null
+++ b/core/batch_operations.py
@@ -0,0 +1,251 @@
+#!/usr/bin/env python3
+"""
+Batch Operations for NFOGuard
+Optimizes bulk file processing and NFO operations
+"""
+import os
+import time
+from pathlib import Path
+from typing import Dict, List, Optional, Tuple, Any
+from concurrent.futures import ThreadPoolExecutor, as_completed
+from datetime import datetime
+
+from core.logging import _log
+from core.fs_cache import fs_cache
+from core.xml_cache import xml_cache
+
+
+class BatchNFOProcessor:
+    """Handles batch NFO operations for improved performance"""
+    
+    def __init__(self, max_workers: int = 4):
+        self.max_workers = max_workers
+    
+    def batch_find_video_files(self, directories: List[Path]) -> Dict[Path, List[Path]]:
+        """Find video files in multiple directories concurrently"""
+        results = {}
+        
+        with ThreadPoolExecutor(max_workers=self.max_workers) as executor:
+            # Submit all directory scans
+            future_to_dir = {
+                executor.submit(fs_cache.find_video_files, directory): directory 
+                for directory in directories if directory.exists()
+            }
+            
+            # Collect results
+            for future in as_completed(future_to_dir):
+                directory = future_to_dir[future]
+                try:
+                    video_files = future.result()
+                    results[directory] = video_files
+                except Exception as e:
+                    _log("ERROR", f"Error scanning directory {directory}: {e}")
+                    results[directory] = []
+        
+        return results
+    
+    def batch_check_nfo_files(self, nfo_paths: List[Path]) -> Dict[Path, bool]:
+        """Check multiple NFO files for NFOGuard data concurrently"""
+        results = {}
+        
+        with ThreadPoolExecutor(max_workers=self.max_workers) as executor:
+            # Submit all NFO checks
+            future_to_path = {
+                executor.submit(xml_cache.check_nfo_has_nfoguard_data, nfo_path): nfo_path 
+                for nfo_path in nfo_paths
+            }
+            
+            # Collect results
+            for future in as_completed(future_to_path):
+                nfo_path = future_to_path[future]
+                try:
+                    has_data = future.result()
+                    results[nfo_path] = has_data
+                except Exception as e:
+                    _log("ERROR", f"Error checking NFO {nfo_path}: {e}")
+                    results[nfo_path] = False
+        
+        return results
+    
+    def batch_extract_nfo_dates(self, nfo_paths: List[Path]) -> Dict[Path, Optional[Dict[str, Any]]]:
+        """Extract date information from multiple NFO files concurrently"""
+        results = {}
+        
+        with ThreadPoolExecutor(max_workers=self.max_workers) as executor:
+            # Submit all NFO extractions
+            future_to_path = {
+                executor.submit(xml_cache.extract_nfo_dates_cached, nfo_path): nfo_path 
+                for nfo_path in nfo_paths if nfo_path.exists()
+            }
+            
+            # Collect results
+            for future in as_completed(future_to_path):
+                nfo_path = future_to_path[future]
+                try:
+                    dates_data = future.result()
+                    results[nfo_path] = dates_data
+                except Exception as e:
+                    _log("ERROR", f"Error extracting dates from NFO {nfo_path}: {e}")
+                    results[nfo_path] = None
+        
+        return results
+    
+    def batch_update_file_mtimes(self, file_mtime_pairs: List[Tuple[Path, datetime]]):
+        """Update file modification times in batch"""
+        updated_count = 0
+        error_count = 0
+        
+        for file_path, target_datetime in file_mtime_pairs:
+            try:
+                if file_path.exists():
+                    # Convert datetime to timestamp
+                    timestamp = target_datetime.timestamp()
+                    os.utime(file_path, (timestamp, timestamp))
+                    updated_count += 1
+                else:
+                    error_count += 1
+                    _log("WARNING", f"File not found for mtime update: {file_path}")
+            except Exception as e:
+                error_count += 1
+                _log("ERROR", f"Error updating mtime for {file_path}: {e}")
+        
+        _log("INFO", f"Batch mtime update complete: {updated_count} updated, {error_count} errors")
+        return {"updated": updated_count, "errors": error_count}
+    
+    def scan_series_episodes_optimized(self, series_path: Path) -> Dict[Tuple[int, int], List[Path]]:
+        """Optimized episode scanning using batch operations"""
+        disk_episodes = {}
+        
+        # Get season directories
+        season_dirs = fs_cache.get_directory_contents(series_path)
+        valid_season_dirs = []
+        
+        for season_dir in season_dirs:
+            if (season_dir.is_dir() and 
+                season_dir.name.lower().startswith("season")):
+                valid_season_dirs.append(season_dir)
+        
+        if not valid_season_dirs:
+            return disk_episodes
+        
+        # Batch scan all season directories
+        season_video_files = self.batch_find_video_files(valid_season_dirs)
+        
+        # Process results
+        for season_dir, video_files in season_video_files.items():
+            # Extract season number
+            try:
+                season_name = season_dir.name.lower()
+                if "season" in season_name:
+                    season_part = season_name.replace("season", "").strip()
+                    season_num = int(season_part)
+                else:
+                    continue
+            except (ValueError, IndexError):
+                continue
+            
+            # Process video files
+            for video_file in video_files:
+                from core.fs_cache import parse_episode_from_filename
+                episode_info = parse_episode_from_filename(video_file.name)
+                if episode_info:
+                    file_season, file_episode = episode_info
+                    key = (season_num, file_episode)
+                    if key not in disk_episodes:
+                        disk_episodes[key] = []
+                    disk_episodes[key].append(video_file)
+        
+        return disk_episodes
+    
+    def batch_series_nfo_check(self, series_paths: List[Path]) -> Dict[Path, Dict[str, Any]]:
+        """Check multiple series for NFO data in batch"""
+        results = {}
+        
+        # Collect all NFO paths to check
+        nfo_paths_to_series = {}
+        
+        for series_path in series_paths:
+            if not series_path.exists():
+                continue
+                
+            # Check main series NFO
+            tvshow_nfo = series_path / "tvshow.nfo"
+            if tvshow_nfo.exists():
+                nfo_paths_to_series[tvshow_nfo] = (series_path, "tvshow")
+            
+            # Check season NFOs
+            season_dirs = fs_cache.get_directory_contents(series_path)
+            for season_dir in season_dirs:
+                if season_dir.is_dir() and season_dir.name.lower().startswith("season"):
+                    season_nfo = season_dir / "season.nfo"
+                    if season_nfo.exists():
+                        nfo_paths_to_series[season_nfo] = (series_path, f"season_{season_dir.name}")
+        
+        if not nfo_paths_to_series:
+            return results
+        
+        # Batch check all NFOs
+        nfo_results = self.batch_check_nfo_files(list(nfo_paths_to_series.keys()))
+        
+        # Organize results by series
+        for nfo_path, has_nfoguard_data in nfo_results.items():
+            if nfo_path in nfo_paths_to_series:
+                series_path, nfo_type = nfo_paths_to_series[nfo_path]
+                if series_path not in results:
+                    results[series_path] = {}
+                results[series_path][nfo_type] = has_nfoguard_data
+        
+        return results
+
+
+# Global batch processor instance  
+batch_processor = BatchNFOProcessor()
+
+
+def optimize_library_scan(library_paths: List[Path]) -> Dict[str, Any]:
+    """Perform optimized library scan using batch operations"""
+    start_time = time.time()
+    stats = {
+        "total_paths": len(library_paths),
+        "processed": 0,
+        "errors": 0,
+        "series_found": 0,
+        "movies_found": 0,
+        "processing_time": 0
+    }
+    
+    series_paths = []
+    movie_paths = []
+    
+    # Categorize paths
+    for lib_path in library_paths:
+        if not lib_path.exists():
+            stats["errors"] += 1
+            continue
+        
+        # Use cached directory scanning
+        items = fs_cache.get_directory_contents(lib_path)
+        for item in items:
+            if item.is_dir() and "[imdb-" in item.name.lower():
+                # Determine if it's a series or movie based on structure
+                season_dirs = [d for d in fs_cache.get_directory_contents(item) 
+                              if d.is_dir() and d.name.lower().startswith("season")]
+                
+                if season_dirs:
+                    series_paths.append(item)
+                    stats["series_found"] += 1
+                else:
+                    movie_paths.append(item)
+                    stats["movies_found"] += 1
+    
+    # Batch process series
+    if series_paths:
+        _log("INFO", f"Batch processing {len(series_paths)} TV series")
+        series_results = batch_processor.batch_series_nfo_check(series_paths)
+        stats["processed"] += len(series_results)
+    
+    # Movies can be processed similarly
+    stats["processing_time"] = round(time.time() - start_time, 2)
+    
+    _log("INFO", f"Optimized library scan complete: {stats}")
+    return stats
\ No newline at end of file
diff --git a/core/fs_cache.py b/core/fs_cache.py
new file mode 100644
index 0000000..fa94ef5
--- /dev/null
+++ b/core/fs_cache.py
@@ -0,0 +1,240 @@
+#!/usr/bin/env python3
+"""
+File System Caching for NFOGuard
+Provides LRU caching for expensive file system operations
+"""
+import os
+import time
+from functools import lru_cache
+from pathlib import Path
+from typing import Dict, List, Optional, Tuple, Any
+from datetime import datetime, timezone
+
+from core.logging import _log
+
+
+class FileSystemCache:
+    """Smart caching for file system operations with mtime invalidation"""
+    
+    def __init__(self, max_cache_size: int = 1000):
+        self.max_cache_size = max_cache_size
+        self._dir_cache: Dict[str, Tuple[float, List[Path]]] = {}
+        self._file_cache: Dict[str, Tuple[float, Any]] = {}
+        self._mtime_cache: Dict[str, float] = {}
+        self._cache_hits = 0
+        self._cache_misses = 0
+    
+    def get_directory_contents(self, directory_path: Path, pattern: str = "*") -> List[Path]:
+        """Get directory contents with caching and mtime invalidation"""
+        cache_key = f"{directory_path}:{pattern}"
+        
+        if not directory_path.exists():
+            return []
+        
+        # Check if directory mtime has changed
+        current_mtime = directory_path.stat().st_mtime
+        
+        if cache_key in self._dir_cache:
+            cached_mtime, cached_contents = self._dir_cache[cache_key]
+            if cached_mtime == current_mtime:
+                self._cache_hits += 1
+                return cached_contents
+        
+        # Cache miss - scan directory
+        self._cache_misses += 1
+        contents = []
+        
+        try:
+            if pattern == "*":
+                contents = list(directory_path.iterdir())
+            else:
+                contents = list(directory_path.glob(pattern))
+        except (OSError, PermissionError) as e:
+            _log("DEBUG", f"Error scanning directory {directory_path}: {e}")
+            return []
+        
+        # Cache the results
+        self._dir_cache[cache_key] = (current_mtime, contents)
+        self._cleanup_cache()
+        
+        return contents
+    
+    def find_video_files(self, directory_path: Path) -> List[Path]:
+        """Find video files with caching"""
+        video_extensions = {".mkv", ".mp4", ".avi", ".mov", ".m4v"}
+        cache_key = f"videos:{directory_path}"
+        
+        if not directory_path.exists():
+            return []
+        
+        current_mtime = directory_path.stat().st_mtime
+        
+        # Check cache
+        if cache_key in self._file_cache:
+            cached_mtime, cached_files = self._file_cache[cache_key]
+            if cached_mtime == current_mtime:
+                self._cache_hits += 1
+                return cached_files
+        
+        # Find video files
+        self._cache_misses += 1
+        video_files = []
+        
+        try:
+            for file_path in directory_path.iterdir():
+                if file_path.is_file() and file_path.suffix.lower() in video_extensions:
+                    video_files.append(file_path)
+        except (OSError, PermissionError) as e:
+            _log("DEBUG", f"Error scanning for videos in {directory_path}: {e}")
+            return []
+        
+        # Cache results
+        self._file_cache[cache_key] = (current_mtime, video_files)
+        self._cleanup_cache()
+        
+        return video_files
+    
+    def get_file_mtime(self, file_path: Path) -> Optional[float]:
+        """Get file modification time with caching"""
+        cache_key = str(file_path)
+        
+        # Always check actual mtime for files (they change frequently)
+        try:
+            current_mtime = file_path.stat().st_mtime
+            self._mtime_cache[cache_key] = current_mtime
+            return current_mtime
+        except (OSError, FileNotFoundError):
+            self._mtime_cache.pop(cache_key, None)
+            return None
+    
+    def file_exists(self, file_path: Path) -> bool:
+        """Check if file exists with smart caching"""
+        cache_key = f"exists:{file_path}"
+        
+        # For existence checks, we can cache briefly but need to be careful
+        if cache_key in self._file_cache:
+            cache_time, exists = self._file_cache[cache_key]
+            if time.time() - cache_time < 30:  # Cache for 30 seconds
+                self._cache_hits += 1
+                return exists
+        
+        # Check actual existence
+        self._cache_misses += 1
+        exists = file_path.exists()
+        
+        self._file_cache[cache_key] = (time.time(), exists)
+        return exists
+    
+    def find_episode_files(self, season_dir: Path, season_num: int, episode_num: int) -> List[Path]:
+        """Find episode files with pattern caching"""
+        cache_key = f"episode:{season_dir}:S{season_num:02d}E{episode_num:02d}"
+        
+        if not season_dir.exists():
+            return []
+        
+        current_mtime = season_dir.stat().st_mtime
+        
+        # Check cache
+        if cache_key in self._file_cache:
+            cached_mtime, cached_files = self._file_cache[cache_key]
+            if cached_mtime == current_mtime:
+                self._cache_hits += 1
+                return cached_files
+        
+        # Find episode files
+        self._cache_misses += 1
+        episode_pattern = f"S{season_num:02d}E{episode_num:02d}"
+        episode_files = []
+        
+        video_extensions = {".mkv", ".mp4", ".avi", ".mov", ".m4v"}
+        
+        try:
+            for file_path in season_dir.iterdir():
+                if (file_path.is_file() and 
+                    file_path.suffix.lower() in video_extensions and
+                    episode_pattern.upper() in file_path.name.upper()):
+                    episode_files.append(file_path)
+        except (OSError, PermissionError) as e:
+            _log("DEBUG", f"Error finding episode files in {season_dir}: {e}")
+            return []
+        
+        # Cache results
+        self._file_cache[cache_key] = (current_mtime, episode_files)
+        self._cleanup_cache()
+        
+        return episode_files
+    
+    def _cleanup_cache(self):
+        """Clean up cache when it gets too large"""
+        if len(self._dir_cache) > self.max_cache_size:
+            # Remove oldest 25% of entries
+            remove_count = self.max_cache_size // 4
+            old_keys = list(self._dir_cache.keys())[:remove_count]
+            for key in old_keys:
+                del self._dir_cache[key]
+        
+        if len(self._file_cache) > self.max_cache_size:
+            remove_count = self.max_cache_size // 4
+            old_keys = list(self._file_cache.keys())[:remove_count]
+            for key in old_keys:
+                del self._file_cache[key]
+    
+    def clear_cache(self):
+        """Clear all caches"""
+        self._dir_cache.clear()
+        self._file_cache.clear()
+        self._mtime_cache.clear()
+        _log("INFO", "File system cache cleared")
+    
+    def get_cache_stats(self) -> Dict[str, Any]:
+        """Get cache performance statistics"""
+        total_requests = self._cache_hits + self._cache_misses
+        hit_rate = (self._cache_hits / total_requests * 100) if total_requests > 0 else 0
+        
+        return {
+            "cache_hits": self._cache_hits,
+            "cache_misses": self._cache_misses,
+            "hit_rate_percent": round(hit_rate, 2),
+            "dir_cache_size": len(self._dir_cache),
+            "file_cache_size": len(self._file_cache),
+            "mtime_cache_size": len(self._mtime_cache)
+        }
+
+
+# Global cache instance
+fs_cache = FileSystemCache()
+
+
+# Cached utility functions
+@lru_cache(maxsize=500)
+def parse_episode_from_filename(filename: str) -> Optional[Tuple[int, int]]:
+    """Parse season/episode from filename with LRU caching"""
+    import re
+    match = re.search(r"S(\d{1,2})E(\d{1,2})", filename, re.IGNORECASE)
+    if match:
+        return int(match.group(1)), int(match.group(2))
+    return None
+
+
+@lru_cache(maxsize=200)
+def extract_imdb_from_path(path_str: str) -> Optional[str]:
+    """Extract IMDb ID from path with LRU caching"""
+    import re
+    match = re.search(r'\[imdb-([^]]+)\]', path_str, re.IGNORECASE)
+    return match.group(1) if match else None
+
+
+def clear_all_caches():
+    """Clear all caches including LRU caches"""
+    fs_cache.clear_cache()
+    parse_episode_from_filename.cache_clear()
+    extract_imdb_from_path.cache_clear()
+    
+    # Also clear XML caches
+    try:
+        from core.xml_cache import clear_xml_caches
+        clear_xml_caches()
+    except ImportError:
+        pass
+    
+    _log("INFO", "All caches cleared")
\ No newline at end of file
diff --git a/core/xml_cache.py b/core/xml_cache.py
new file mode 100644
index 0000000..622976c
--- /dev/null
+++ b/core/xml_cache.py
@@ -0,0 +1,204 @@
+#!/usr/bin/env python3
+"""
+XML Processing Cache for NFOGuard
+Optimizes NFO file parsing and manipulation
+"""
+import os
+import time
+from functools import lru_cache
+from pathlib import Path
+from typing import Dict, Optional, Any
+from xml.etree import ElementTree as ET
+
+from core.logging import _log
+
+
+class XMLProcessingCache:
+    """Caches parsed XML trees and NFO data with mtime invalidation"""
+    
+    def __init__(self, max_cache_size: int = 500):
+        self.max_cache_size = max_cache_size
+        self._xml_tree_cache: Dict[str, tuple] = {}  # (mtime, parsed_tree)
+        self._nfo_data_cache: Dict[str, tuple] = {}  # (mtime, extracted_data)
+        self._cache_hits = 0
+        self._cache_misses = 0
+    
+    def get_parsed_nfo(self, nfo_path: Path) -> Optional[ET.Element]:
+        """Get parsed NFO file with caching"""
+        if not nfo_path.exists():
+            return None
+        
+        cache_key = str(nfo_path)
+        current_mtime = nfo_path.stat().st_mtime
+        
+        # Check cache
+        if cache_key in self._xml_tree_cache:
+            cached_mtime, cached_tree = self._xml_tree_cache[cache_key]
+            if cached_mtime == current_mtime:
+                self._cache_hits += 1
+                return cached_tree
+        
+        # Parse XML
+        self._cache_misses += 1
+        try:
+            tree = ET.parse(nfo_path)
+            root = tree.getroot()
+            
+            # Cache the parsed tree
+            self._xml_tree_cache[cache_key] = (current_mtime, root)
+            self._cleanup_cache()
+            
+            return root
+        except (ET.ParseError, OSError) as e:
+            _log("DEBUG", f"Error parsing NFO {nfo_path}: {e}")
+            return None
+    
+    def extract_nfo_dates_cached(self, nfo_path: Path) -> Optional[Dict[str, Any]]:
+        """Extract NFOGuard date fields from NFO with caching"""
+        if not nfo_path.exists():
+            return None
+        
+        cache_key = f"dates:{nfo_path}"
+        current_mtime = nfo_path.stat().st_mtime
+        
+        # Check cache
+        if cache_key in self._nfo_data_cache:
+            cached_mtime, cached_data = self._nfo_data_cache[cache_key]
+            if cached_mtime == current_mtime:
+                self._cache_hits += 1
+                return cached_data
+        
+        # Extract data
+        self._cache_misses += 1
+        root = self.get_parsed_nfo(nfo_path)
+        if not root:
+            return None
+        
+        dates_data = self._extract_nfoguard_dates(root)
+        
+        # Cache the extracted data
+        self._nfo_data_cache[cache_key] = (current_mtime, dates_data)
+        self._cleanup_cache()
+        
+        return dates_data
+    
+    def _extract_nfoguard_dates(self, root: ET.Element) -> Optional[Dict[str, Any]]:
+        """Extract NFOGuard date fields from parsed XML"""
+        try:
+            # Look for NFOGuard date fields
+            dateadded_elem = root.find(".//dateadded")
+            source_elem = root.find(".//nfoguard_source")
+            aired_elem = root.find(".//aired") or root.find(".//premiered")
+            
+            if dateadded_elem is not None and dateadded_elem.text:
+                result = {
+                    "dateadded": dateadded_elem.text.strip(),
+                    "source": source_elem.text.strip() if source_elem is not None and source_elem.text else "unknown",
+                    "aired": aired_elem.text.strip() if aired_elem is not None and aired_elem.text else None
+                }
+                
+                # Check if title exists for episodes
+                title_elem = root.find(".//title")
+                if title_elem is not None and title_elem.text:
+                    result["has_title"] = True
+                    result["title"] = title_elem.text.strip()
+                else:
+                    result["has_title"] = False
+                
+                return result
+        except Exception as e:
+            _log("DEBUG", f"Error extracting NFOGuard dates from XML: {e}")
+        
+        return None
+    
+    def check_nfo_has_nfoguard_data(self, nfo_path: Path) -> bool:
+        """Quickly check if NFO has NFOGuard data"""
+        cache_key = f"has_nfoguard:{nfo_path}"
+        
+        if not nfo_path.exists():
+            return False
+        
+        current_mtime = nfo_path.stat().st_mtime
+        
+        # Check cache
+        if cache_key in self._nfo_data_cache:
+            cached_mtime, has_data = self._nfo_data_cache[cache_key]
+            if cached_mtime == current_mtime:
+                self._cache_hits += 1
+                return has_data
+        
+        # Check for NFOGuard markers
+        self._cache_misses += 1
+        try:
+            # Quick text search first (faster than XML parsing)
+            with open(nfo_path, 'r', encoding='utf-8', errors='ignore') as f:
+                content = f.read()
+                has_data = '<nfoguard_source>' in content or '<!-- NFOGuard -->' in content
+            
+            # Cache result
+            self._nfo_data_cache[cache_key] = (current_mtime, has_data)
+            return has_data
+            
+        except (OSError, UnicodeDecodeError) as e:
+            _log("DEBUG", f"Error checking NFOGuard markers in {nfo_path}: {e}")
+            return False
+    
+    def _cleanup_cache(self):
+        """Clean up caches when they get too large"""
+        if len(self._xml_tree_cache) > self.max_cache_size:
+            # Remove oldest 25% of entries
+            remove_count = self.max_cache_size // 4
+            old_keys = list(self._xml_tree_cache.keys())[:remove_count]
+            for key in old_keys:
+                del self._xml_tree_cache[key]
+        
+        if len(self._nfo_data_cache) > self.max_cache_size:
+            remove_count = self.max_cache_size // 4
+            old_keys = list(self._nfo_data_cache.keys())[:remove_count]
+            for key in old_keys:
+                del self._nfo_data_cache[key]
+    
+    def clear_cache(self):
+        """Clear all XML caches"""
+        self._xml_tree_cache.clear()
+        self._nfo_data_cache.clear()
+        _log("INFO", "XML processing cache cleared")
+    
+    def get_cache_stats(self) -> Dict[str, Any]:
+        """Get XML cache performance statistics"""
+        total_requests = self._cache_hits + self._cache_misses
+        hit_rate = (self._cache_hits / total_requests * 100) if total_requests > 0 else 0
+        
+        return {
+            "xml_cache_hits": self._cache_hits,
+            "xml_cache_misses": self._cache_misses,
+            "xml_hit_rate_percent": round(hit_rate, 2),
+            "xml_tree_cache_size": len(self._xml_tree_cache),
+            "nfo_data_cache_size": len(self._nfo_data_cache)
+        }
+
+
+# Global XML cache instance
+xml_cache = XMLProcessingCache()
+
+
+@lru_cache(maxsize=1000)
+def parse_imdb_from_filename(filename: str) -> Optional[str]:
+    """Parse IMDb ID from filename with LRU caching"""
+    import re
+    match = re.search(r'\[imdb-([^]]+)\]', filename, re.IGNORECASE)
+    return match.group(1) if match else None
+
+
+@lru_cache(maxsize=200)
+def clean_title_for_search(title: str) -> str:
+    """Clean title for searching with LRU caching"""
+    return title.lower().replace(" ", "").replace("-", "").replace("_", "")
+
+
+def clear_xml_caches():
+    """Clear all XML-related caches"""
+    xml_cache.clear_cache()
+    parse_imdb_from_filename.cache_clear()
+    clean_title_for_search.cache_clear()
+    _log("INFO", "All XML caches cleared")
\ No newline at end of file
diff --git a/processors/movie_processor.py b/processors/movie_processor.py
index 9197fd7..996db60 100644
--- a/processors/movie_processor.py
+++ b/processors/movie_processor.py
@@ -13,6 +13,7 @@ from core.database import NFOGuardDatabase
 from core.nfo_manager import NFOManager
 from core.path_mapper import PathMapper
 from core.logging import _log
+from core.fs_cache import fs_cache, extract_imdb_from_path
 from clients.radarr_client import RadarrClient
 from clients.external_clients import ExternalClientManager
 from config.settings import config
diff --git a/processors/tv_processor.py b/processors/tv_processor.py
index 3ffed03..6177fcb 100644
--- a/processors/tv_processor.py
+++ b/processors/tv_processor.py
@@ -14,6 +14,7 @@ from core.database import NFOGuardDatabase
 from core.nfo_manager import NFOManager
 from core.path_mapper import PathMapper
 from core.logging import _log
+from core.fs_cache import fs_cache, parse_episode_from_filename, extract_imdb_from_path
 from clients.sonarr_client import SonarrClient
 from clients.external_clients import ExternalClientManager
 from config.settings import config
@@ -123,7 +124,10 @@ class TVProcessor:
         disk_episodes = {}
         video_exts = (".mkv", ".mp4", ".avi", ".mov", ".m4v")
         
-        for season_dir in series_path.iterdir():
+        # Use cached directory listing
+        season_dirs = fs_cache.get_directory_contents(series_path)
+        
+        for season_dir in season_dirs:
             if not (season_dir.is_dir() and season_dir.name.lower().startswith(config.tv_season_dir_pattern)):
                 continue
             
@@ -140,15 +144,18 @@ class TVProcessor:
             except (ValueError, IndexError):
                 continue
             
-            for video_file in season_dir.iterdir():
-                if video_file.is_file() and video_file.suffix.lower() in video_exts:
-                    match = re.search(r"S(\d{2})E(\d{2})", video_file.name, re.IGNORECASE)
-                    if match:
-                        file_season, file_episode = int(match.group(1)), int(match.group(2))
-                        key = (season_num, file_episode)  # Use directory season number
-                        if key not in disk_episodes:
-                            disk_episodes[key] = []
-                        disk_episodes[key].append(video_file)
+            # Use cached video file discovery
+            video_files = fs_cache.find_video_files(season_dir)
+            
+            for video_file in video_files:
+                # Use cached episode parsing
+                episode_info = parse_episode_from_filename(video_file.name)
+                if episode_info:
+                    file_season, file_episode = episode_info
+                    key = (season_num, file_episode)  # Use directory season number
+                    if key not in disk_episodes:
+                        disk_episodes[key] = []
+                    disk_episodes[key].append(video_file)
         
         return disk_episodes