Remove workflow_dispatch and set version to 0.5.10

.github/workflows/build-all.yml

@@ -4,7 +4,6 @@ on:
   push:
     tags:
       - 'v*'
-  workflow_dispatch:
 
 jobs:
   build-windows:

README.md

@@ -1,7 +1,7 @@
 # AudioSort
-[![Build/release](https://github.com/litruv/AudioSort/actions/workflows/build.yml/badge.svg)](https://github.com/litruv/AudioSort/actions/workflows/build.yml)
+[![Build All Platforms](https://github.com/litruv/AudioSort/actions/workflows/build-all.yml/badge.svg)](https://github.com/litruv/AudioSort/actions/workflows/build-all.yml)
 
-A desktop application for organizing, tagging, and managing WAV audio files with Universal Category System (UCS) support, featuring advanced waveform editing and audio splitting capabilities.
+A cross-platform desktop application for organizing, tagging, and managing WAV audio files with Universal Category System (UCS) support, featuring advanced waveform editing and audio splitting capabilities.
 
 ![AudioSort Interface](repoimages/interface.png)
 
@@ -49,9 +49,29 @@ A desktop application for organizing, tagging, and managing WAV audio files with
 
 ## Installation
 
-### From Release
+### Windows
 Download the latest `AudioSort Setup.exe` from the [Releases](../../releases) page and run the installer.
 
+### Linux
+
+#### AppImage (Universal)
+```bash
+# Download from Releases page
+chmod +x AudioSort-*.AppImage
+./AudioSort-*.AppImage
+```
+
+#### Debian/Ubuntu (.deb)
+```bash
+sudo dpkg -i audio-sort_*.deb
+sudo apt-get install -f  # Install dependencies if needed
+```
+
+#### Fedora/RHEL (.rpm)
+```bash
+sudo dnf install ./audio-sort-*.rpm
+```
+
 ### From Source
 
 #### Prerequisites
@@ -126,23 +146,27 @@ AudioSort/
 
 ### Scripts
 ```bash
-npm run dev      # Start development server with hot reload
-npm run build    # Build renderer and main process
-npm run lint     # Type-check with TypeScript
-npm run pack     # Package without installer
-npm run dist     # Create distributable
-npm run dist:win # Create Windows installer
+npm run dev        # Start development server with hot reload
+npm run build      # Build renderer and main process
+npm run lint       # Type-check with TypeScript
+npm run pack       # Package without installer
+npm run dist       # Create distributable
+npm run dist:win   # Create Windows installer
+npm run dist:linux # Create Linux packages (AppImage, deb, rpm)
 ```
 
-## Configuration
+## Linux Distribution
 
-### Build Configuration
-Edit `package.json` `build` section to customize:
-- Application name and ID
-- Icon and branding
-- Installer options
-- File associations
+For detailed information about building and distributing on Linux, see [LINUX_BUILD.md](LINUX_BUILD.md).
+
+Supported formats:
+- **AppImage** - Universal, runs on any distribution
+- **DEB** - Debian, Ubuntu, and derivatives
+- **RPM** - Fedora, RHEL, CentOS, openSUSE
+
+## Configuration
 
 ### Database Location
 User data is stored in:
 - **Windows**: `%APPDATA%/AudioSort/`
+- **Linux**: `~/.config/AudioSort/`

package.json

@@ -1,6 +1,6 @@
 {
   "name": "audio-sort",
-  "version": "0.5.2",
+  "version": "0.5.10",
   "description": "Electron audio sorting application with fuzzy search, tagging, library management, and advanced waveform editing with audio splitting capabilities for WAV files.",
   "author": {
     "name": "litruv",

src/main/MainApp.ts

@@ -161,6 +161,7 @@ export class MainApp {
   ipcMain.removeHandler(IPC_CHANNELS.libraryUpdateMetadata);
    ipcMain.removeHandler(IPC_CHANNELS.librarySplit);
     ipcMain.removeHandler(IPC_CHANNELS.libraryWaveformPreview);
+    ipcMain.removeHandler(IPC_CHANNELS.libraryWaveformRange);
     ipcMain.removeHandler(IPC_CHANNELS.libraryImport);
     ipcMain.removeHandler(IPC_CHANNELS.tagsUpdate);
     ipcMain.removeHandler(IPC_CHANNELS.categoriesList);
@@ -313,6 +314,12 @@ export class MainApp {
         this.requireLibrary().getWaveformPreview(fileId, pointCount)
     );
 
+    ipcMain.handle(
+      IPC_CHANNELS.libraryWaveformRange,
+      async (_event: IpcMainInvokeEvent, fileId: number, startMs: number, endMs: number) =>
+        this.requireLibrary().getWaveformRange(fileId, startMs, endMs)
+    );
+
     ipcMain.handle(IPC_CHANNELS.tagsUpdate, async (_event: IpcMainInvokeEvent, payload: TagUpdatePayload) =>
       this.requireLibrary().updateTagging(payload)
     );

src/main/index.ts

@@ -1,6 +1,11 @@
 import { app } from 'electron';
 import { MainApp } from './MainApp';
 
+// Disable GPU acceleration on Linux to avoid graphics driver issues
+if (process.platform === 'linux') {
+  app.disableHardwareAcceleration();
+}
+
 const mainApp = new MainApp();
 
 app.whenReady()

src/main/services/DatabaseService.ts

@@ -410,6 +410,51 @@ export class DatabaseService {
     };
   }
 
+  /**
+   * Gets cached waveform data for a file.
+   */
+  public getWaveformCache(fileId: number, pointCount: number): { samples: number[]; rms: number } | null {
+    const connection = this.requireDb();
+    const row = connection
+      .prepare('SELECT waveform_cache FROM files WHERE id = ?')
+      .get(fileId) as { waveform_cache: string | null } | undefined;
+    
+    if (!row || !row.waveform_cache) {
+      return null;
+    }
+    
+    try {
+      const parsed = JSON.parse(row.waveform_cache) as { pointCount: number; samples: number[]; rms: number };
+      if (parsed.pointCount === pointCount) {
+        return { samples: parsed.samples, rms: parsed.rms };
+      }
+      return null;
+    } catch {
+      return null;
+    }
+  }
+
+  /**
+   * Sets cached waveform data for a file.
+   */
+  public setWaveformCache(fileId: number, pointCount: number, samples: number[], rms: number): void {
+    const connection = this.requireDb();
+    const cacheData = JSON.stringify({ pointCount, samples, rms });
+    connection
+      .prepare('UPDATE files SET waveform_cache = ? WHERE id = ?')
+      .run(cacheData, fileId);
+  }
+
+  /**
+   * Clears waveform cache for a specific file.
+   */
+  public clearWaveformCache(fileId: number): void {
+    const connection = this.requireDb();
+    connection
+      .prepare('UPDATE files SET waveform_cache = NULL WHERE id = ?')
+      .run(fileId);
+  }
+
   /**
    * Maps a raw database row to the strongly typed summary shape.
    */
@@ -500,6 +545,7 @@ export class DatabaseService {
     this.addColumnIfMissing(connection, 'files', 'checksum', 'TEXT');
     this.addColumnIfMissing(connection, 'files', 'custom_name', 'TEXT');
   this.addColumnIfMissing(connection, 'files', 'parent_file_id', 'INTEGER');
+    this.addColumnIfMissing(connection, 'files', 'waveform_cache', 'TEXT');
 
     // Create checksum index after ensuring column exists
     connection.exec('CREATE INDEX IF NOT EXISTS idx_files_checksum ON files(checksum)');

src/main/services/LibraryService.ts

@@ -453,7 +453,7 @@ export class LibraryService {
       path.basename(targetPath),
       path.basename(targetPath, path.extname(targetPath))
     );
-    this.waveformPreviewCache.delete(fileId);
+    this.clearWaveformCache(fileId);
     this.search.rebuildIndex();
     return updated;
   }
@@ -478,7 +478,7 @@ export class LibraryService {
       path.basename(targetPath),
       path.basename(targetPath, path.extname(targetPath))
     );
-    this.waveformPreviewCache.delete(fileId);
+    this.clearWaveformCache(fileId);
     this.search.rebuildIndex();
     return updated;
   }
@@ -501,8 +501,17 @@ export class LibraryService {
    * Generates a lightweight waveform preview suitable for list rendering.
    */
   public async getWaveformPreview(fileId: number, pointCount = 160): Promise<{ samples: number[]; rms: number }> {
+    const startTime = performance.now();
     const record = this.database.getFileById(fileId);
   const effectivePoints = Math.min(Math.max(pointCount ?? 160, 32), 16384);
+    
+    // Check database cache first
+    const dbCache = this.database.getWaveformCache(fileId, effectivePoints);
+    if (dbCache) {
+      return dbCache;
+    }
+    
+    // Check memory cache
     const cacheHit = this.waveformPreviewCache.get(fileId);
     if (cacheHit && cacheHit.modifiedAt === record.modifiedAt && cacheHit.pointCount === effectivePoints) {
       return { samples: cacheHit.samples, rms: cacheHit.rms };
@@ -511,6 +520,15 @@ export class LibraryService {
     try {
   const buffer = await fs.readFile(record.absolutePath);
   const wave = new WaveFile(buffer);
+  
+  // For large files, use optimized sampling instead of processing all samples
+  const fileSize = buffer.length;
+  const useFastSampling = fileSize > 10 * 1024 * 1024; // 10MB threshold
+  
+  if (useFastSampling) {
+    return await this.getWaveformPreviewFast(fileId, record, wave, effectivePoints, buffer, startTime);
+  }
+  
   const sampleBlock = wave.getSamples(false, Float64Array) as Float64Array | Float64Array[];
   const channels = (Array.isArray(sampleBlock) ? sampleBlock : [sampleBlock]) as Float64Array[];
       const firstChannel = channels[0];
@@ -523,6 +541,7 @@ export class LibraryService {
           samples: fallback,
           rms: 0
         });
+        this.database.setWaveformCache(fileId, effectivePoints, fallback, 0);
         return { samples: fallback, rms: 0 };
       }
 
@@ -561,6 +580,11 @@ export class LibraryService {
         samples,
         rms
       });
+      this.database.setWaveformCache(fileId, effectivePoints, samples, rms);
+
+      const totalTime = performance.now() - startTime;
+      const durationSec = record.durationMs ? (record.durationMs / 1000).toFixed(1) : 'unknown';
+      console.log(`Waveform preview for ${record.fileName}: ${totalTime.toFixed(1)}ms (${durationSec}s audio, ${(buffer.length / 1024 / 1024).toFixed(1)}MB)`);
 
       return { samples, rms };
     } catch (error) {
@@ -572,16 +596,200 @@ export class LibraryService {
         samples: fallback,
         rms: 0
       });
+      this.database.setWaveformCache(fileId, effectivePoints, fallback, 0);
       return { samples: fallback, rms: 0 };
     }
   }
 
+  /**
+   * Fast waveform preview generation for large files using sparse sampling.
+   * Reads raw audio data directly without extracting all samples.
+   */
+  private async getWaveformPreviewFast(
+    fileId: number,
+    record: AudioFileSummary,
+    wave: WaveFile,
+    effectivePoints: number,
+    buffer: Buffer,
+    startTime: number
+  ): Promise<{ samples: number[]; rms: number }> {
+    // Parse WAV header to find data chunk
+    const fmt = wave.fmt as { numChannels: number; bitsPerSample: number };
+    const numChannels = fmt.numChannels;
+    const bytesPerSample = Math.floor(fmt.bitsPerSample / 8);
+    const bytesPerFrame = numChannels * bytesPerSample;
+    
+    // Find the data chunk in the buffer
+    let dataOffset = 12; // Skip RIFF header
+    let dataSize = 0;
+    
+    while (dataOffset < buffer.length - 8) {
+      const chunkId = buffer.toString('ascii', dataOffset, dataOffset + 4);
+      const chunkSize = buffer.readUInt32LE(dataOffset + 4);
+      
+      if (chunkId === 'data') {
+        dataOffset += 8; // Skip chunk header
+        dataSize = chunkSize;
+        break;
+      }
+      
+      dataOffset += 8 + chunkSize;
+      if (chunkSize % 2 === 1) dataOffset++; // Word-aligned
+    }
+    
+    if (dataSize === 0) {
+      // Fallback if we can't find data chunk
+      const fallback = new Array(effectivePoints).fill(0);
+      this.waveformPreviewCache.set(fileId, {
+        modifiedAt: record.modifiedAt,
+        pointCount: effectivePoints,
+        samples: fallback,
+        rms: 0
+      });
+      return { samples: fallback, rms: 0 };
+    }
+    
+    const totalFrames = Math.floor(dataSize / bytesPerFrame);
+    const framesPerPoint = Math.floor(totalFrames / effectivePoints);
+    
+    // Sample at most 100 frames per point for large files
+    const framesToSamplePerPoint = Math.min(framesPerPoint, 100);
+    const frameStep = Math.max(1, Math.floor(framesPerPoint / framesToSamplePerPoint));
+    
+    const peaks: number[] = [];
+    let sumSquares = 0;
+    let sampleTotal = 0;
+    
+    // Determine max value for normalization based on bit depth
+    const maxValue = Math.pow(2, fmt.bitsPerSample - 1);
+    
+    for (let pointIndex = 0; pointIndex < effectivePoints; pointIndex++) {
+      const startFrame = pointIndex * framesPerPoint;
+      const endFrame = pointIndex === effectivePoints - 1 
+        ? totalFrames 
+        : Math.min(totalFrames, startFrame + framesPerPoint);
+      
+      let blockPeak = 0;
+      
+      for (let frame = startFrame; frame < endFrame; frame += frameStep) {
+        const byteOffset = dataOffset + (frame * bytesPerFrame);
+        
+        // Read samples from all channels at this frame
+        for (let ch = 0; ch < numChannels; ch++) {
+          const sampleOffset = byteOffset + (ch * bytesPerSample);
+          
+          if (sampleOffset + bytesPerSample > buffer.length) break;
+          
+          // Read sample based on bit depth
+          let sampleValue = 0;
+          if (bytesPerSample === 2) {
+            sampleValue = buffer.readInt16LE(sampleOffset);
+          } else if (bytesPerSample === 3) {
+            // 24-bit
+            const byte1 = buffer.readUInt8(sampleOffset);
+            const byte2 = buffer.readUInt8(sampleOffset + 1);
+            const byte3 = buffer.readInt8(sampleOffset + 2);
+            sampleValue = (byte3 << 16) | (byte2 << 8) | byte1;
+          } else if (bytesPerSample === 4) {
+            sampleValue = buffer.readInt32LE(sampleOffset);
+          } else if (bytesPerSample === 1) {
+            sampleValue = buffer.readInt8(sampleOffset) << 8; // Convert 8-bit to 16-bit range
+          }
+          
+          const normalized = sampleValue / maxValue;
+          const clamped = Math.max(-1, Math.min(1, normalized));
+          const magnitude = Math.abs(clamped);
+          
+          if (magnitude > blockPeak) {
+            blockPeak = magnitude;
+          }
+          
+          sumSquares += clamped * clamped;
+          sampleTotal++;
+        }
+      }
+      
+      peaks.push(Math.min(blockPeak, 1));
+    }
+    
+    const samples = this.normaliseWaveformArray(peaks);
+    const rms = sampleTotal > 0 ? Math.sqrt(sumSquares / sampleTotal) : 0;
+    this.waveformPreviewCache.set(fileId, {
+      modifiedAt: record.modifiedAt,
+      pointCount: effectivePoints,
+      samples,
+      rms
+    });
+    this.database.setWaveformCache(fileId, effectivePoints, samples, rms);
+
+    const totalTime = performance.now() - startTime;
+    const durationSec = record.durationMs ? (record.durationMs / 1000).toFixed(1) : 'unknown';
+    console.log(`Waveform preview for ${record.fileName}: ${totalTime.toFixed(1)}ms (${durationSec}s audio, ${(buffer.length / 1024 / 1024).toFixed(1)}MB) [FAST]`);
+
+    return { samples, rms };
+  }
+
+  /**
+   * Returns full-resolution waveform samples for a specific time range.
+   * Used for high-detail editor rendering when zoomed in.
+   */
+  public async getWaveformRange(fileId: number, startMs: number, endMs: number): Promise<{ samples: number[] }> {
+    const record = this.database.getFileById(fileId);
+    
+    try {
+      const buffer = await fs.readFile(record.absolutePath);
+      const wave = new WaveFile(buffer);
+      
+      // Get all samples for the entire file
+      const sampleBlock = wave.getSamples(false, Float64Array) as Float64Array | Float64Array[];
+      const channels = (Array.isArray(sampleBlock) ? sampleBlock : [sampleBlock]) as Float64Array[];
+      const firstChannel = channels[0];
+
+      if (!firstChannel || firstChannel.length === 0 || !record.durationMs || record.durationMs <= 0) {
+        return { samples: [] };
+      }
+
+      const amplitudeScale = Math.max(1, this.resolveWaveformAmplitudeScale(wave));
+      const totalDurationMs = record.durationMs;
+      const samplesPerMs = firstChannel.length / totalDurationMs;
+      
+      // Calculate sample indices for the requested time range
+      const startSample = Math.floor(startMs * samplesPerMs);
+      const endSample = Math.ceil(endMs * samplesPerMs);
+      const clampedStart = Math.max(0, startSample);
+      const clampedEnd = Math.min(firstChannel.length, endSample);
+      
+      // Extract peaks for the range
+      const samples: number[] = [];
+      
+      for (let cursor = clampedStart; cursor < clampedEnd; cursor += 1) {
+        let peak = 0;
+        for (let channelIndex = 0; channelIndex < channels.length; channelIndex += 1) {
+          const channel = channels[channelIndex];
+          const rawSample = channel?.[cursor] ?? 0;
+          const normalisedSample = rawSample / amplitudeScale;
+          const clampedSample = Math.max(-1, Math.min(1, normalisedSample));
+          const magnitude = Math.abs(clampedSample);
+          if (magnitude > peak) {
+            peak = magnitude;
+          }
+        }
+        samples.push(Math.min(peak, 1));
+      }
+
+      return { samples: this.normaliseWaveformArray(samples) };
+    } catch (error) {
+      console.warn('Failed to generate waveform range', { fileId, startMs, endMs, error });
+      return { samples: [] };
+    }
+  }
+
   /**
    * Applies tag updates, optionally re-running the organize pipeline when categories are present.
    */
   public async updateTagging(payload: TagUpdatePayload): Promise<AudioFileSummary> {
     const updated = this.tagService.applyTagging(payload.fileId, payload.tags, payload.categories);
-    this.waveformPreviewCache.delete(payload.fileId);
+    this.clearWaveformCache(payload.fileId);
 
     if (updated.categories.length > 0) {
       const metadataSnapshot = this.tagService.readMetadata(updated.absolutePath);
@@ -731,7 +939,7 @@ export class LibraryService {
       }
 
       this.resetMetadataSuggestionsCache();
-      this.waveformPreviewCache.delete(fileId);
+      this.clearWaveformCache(fileId);
       this.search.rebuildIndex();
       return updatedRecord;
     }
@@ -827,7 +1035,7 @@ export class LibraryService {
     }
 
     this.resetMetadataSuggestionsCache();
-    this.waveformPreviewCache.delete(fileId);
+    this.clearWaveformCache(fileId);
     this.search.rebuildIndex();
     return updated;
   }
@@ -844,7 +1052,7 @@ export class LibraryService {
         console.error(`Failed to delete file ${record.absolutePath}:`, error);
       }
       this.database.deleteFile(fileId);
-      this.waveformPreviewCache.delete(fileId);
+      this.clearWaveformCache(fileId);
     }
     this.resetMetadataSuggestionsCache();
     this.search.rebuildIndex();
@@ -1068,11 +1276,11 @@ export class LibraryService {
         this.updateMetadataSuggestionsCache(resolvedAuthor);
       }
 
-      this.waveformPreviewCache.delete(updatedRecord.id);
+      this.clearWaveformCache(updatedRecord.id);
       created.push(updatedRecord);
     }
 
-    this.waveformPreviewCache.delete(record.id);
+    this.clearWaveformCache(record.id);
     this.resetMetadataSuggestionsCache();
     this.search.rebuildIndex();
 
@@ -1281,7 +1489,7 @@ export class LibraryService {
       this.updateMetadataSuggestionsCache(mergedMetadata.author);
     }
 
-    this.waveformPreviewCache.delete(fileId);
+    this.clearWaveformCache(fileId);
     this.resetMetadataSuggestionsCache();
   }
 
@@ -1654,6 +1862,14 @@ export class LibraryService {
     return candidate;
   }
 
+  /**
+   * Helper to clear both memory and database waveform cache.
+   */
+  private clearWaveformCache(fileId: number): void {
+    this.waveformPreviewCache.delete(fileId);
+    this.database.clearWaveformCache(fileId);
+  }
+
   /**
    * Extracts metadata from the WAV container, falling back to defaults when parsing fails.
    */
@@ -1834,23 +2050,30 @@ export class LibraryService {
 
   /**
    * Computes checksum from audio data only, excluding metadata chunks for stability.
+   * Uses streaming approach to handle large files efficiently.
    */
   private async computeFileChecksum(filePath: string): Promise<string | null> {
     try {
+      const stats = await fs.stat(filePath);
+      const fileSize = stats.size;
+      
+      // For files larger than 100MB, use chunked streaming to avoid memory issues
+      if (fileSize > 100 * 1024 * 1024) {
+        return await this.computeFileChecksumStreaming(filePath);
+      }
+      
+      // For smaller files, use the existing fast method
       const buffer = await fs.readFile(filePath);
       const wave = new WaveFile(buffer);
       
-      // Hash only the raw audio samples, not metadata or other chunks
       const hash = createHash('md5');
       const samples = wave.getSamples();
       
       if (Array.isArray(samples)) {
-        // Multi-channel: hash each channel
         for (const channel of samples) {
           hash.update(Buffer.from(channel.buffer));
         }
       } else {
-        // Single channel
         hash.update(Buffer.from(samples.buffer));
       }
       
@@ -1865,6 +2088,74 @@ export class LibraryService {
     }
   }
 
+  /**
+   * Computes checksum using streaming for large files.
+   * Reads WAV header to locate data chunk, then streams only the audio data.
+   */
+  private async computeFileChecksumStreaming(filePath: string): Promise<string> {
+    return new Promise((resolve, reject) => {
+      const hash = createHash('md5');
+      const stream = createReadStream(filePath, { highWaterMark: 64 * 1024 }); // 64KB chunks
+      
+      let headerProcessed = false;
+      let dataChunkStart = 0;
+      let dataChunkSize = 0;
+      let bytesRead = 0;
+      let buffer = Buffer.alloc(0);
+
+      stream.on('data', (chunk: string | Buffer) => {
+        const bufferChunk = typeof chunk === 'string' ? Buffer.from(chunk) : chunk;
+        buffer = Buffer.concat([buffer, bufferChunk]);
+        bytesRead += bufferChunk.length;
+
+        if (!headerProcessed && buffer.length >= 44) {
+          // Parse minimal WAV header to find data chunk
+          // RIFF header: "RIFF" (4) + fileSize (4) + "WAVE" (4) = 12 bytes
+          // fmt chunk: "fmt " (4) + size (4) + format data (usually 16) = 24+ bytes
+          // data chunk: "data" (4) + size (4) + audio data
+          
+          let offset = 12; // Skip RIFF header
+          while (offset + 8 <= buffer.length) {
+            const chunkId = buffer.toString('ascii', offset, offset + 4);
+            const chunkSize = buffer.readUInt32LE(offset + 4);
+            
+            if (chunkId === 'data') {
+              dataChunkStart = offset + 8;
+              dataChunkSize = chunkSize;
+              headerProcessed = true;
+              
+              // Hash any data chunk content we've already read
+              const availableData = buffer.length - dataChunkStart;
+              if (availableData > 0) {
+                const dataToHash = buffer.subarray(dataChunkStart, Math.min(buffer.length, dataChunkStart + dataChunkSize));
+                hash.update(dataToHash);
+              }
+              
+              // Clear buffer to free memory
+              buffer = Buffer.alloc(0);
+              break;
+            }
+            
+            offset += 8 + chunkSize;
+            if (chunkSize % 2 === 1) offset++; // WAV chunks are word-aligned
+          }
+        } else if (headerProcessed) {
+          // We're in the data chunk, hash everything
+          hash.update(bufferChunk);
+          buffer = Buffer.alloc(0); // Clear buffer to free memory
+        }
+      });
+
+      stream.on('end', () => {
+        resolve(hash.digest('hex'));
+      });
+
+      stream.on('error', (error) => {
+        reject(error);
+      });
+    });
+  }
+
   /**
    * Normalises file names, ensuring the .wav extension is present.
    */

src/preload/index.ts

@@ -76,6 +76,9 @@ const api: RendererApi = {
   async getWaveformPreview(fileId: number, pointCount = 160): Promise<{ samples: number[]; rms: number }> {
     return ipcRenderer.invoke(IPC_CHANNELS.libraryWaveformPreview, fileId, pointCount);
   },
+  async getWaveformRange(fileId: number, startMs: number, endMs: number): Promise<{ samples: number[] }> {
+    return ipcRenderer.invoke(IPC_CHANNELS.libraryWaveformRange, fileId, startMs, endMs);
+  },
   async updateTagging(payload: TagUpdatePayload): Promise<AudioFileSummary> {
     return ipcRenderer.invoke(IPC_CHANNELS.tagsUpdate, payload);
   },

src/renderer/src/components/AudioPlayer.tsx

@@ -64,7 +64,7 @@ export interface AudioPlayerProps {
 /**
  * Seamless audio player that integrates smoothly with the interface.
  */
-export function AudioPlayer({ snapshot }: AudioPlayerProps): JSX.Element {
+export function AudioPlayer({ snapshot }: AudioPlayerProps) {
   const audioRef = useRef<HTMLAudioElement | null>(null);
   const [isPlaying, setIsPlaying] = useState(false);
   const [currentTime, setCurrentTime] = useState(0);

src/renderer/src/components/FileList.tsx

@@ -14,9 +14,10 @@ export interface FileListProps {
 /**
  * Vertical list of WAV files with highlighting for the active selection.
  */
-export function FileList({ files, selectedId, selectedIds, onSelect, onPlay, searchValue, onSearchChange }: FileListProps): JSX.Element {
+export function FileList({ files, selectedId, selectedIds, onSelect, onPlay, searchValue, onSearchChange }: FileListProps) {
   const buttonRefs = useRef(new Map<number, HTMLButtonElement>());
   const waveformCacheRef = useRef<Record<number, WaveformVisual>>({});
+  const waveformLoadedRef = useRef<Set<number>>(new Set());
   const [, forceWaveformUpdate] = useReducer((value: number) => value + 1, 0);
   const dragGhostRef = useRef<HTMLElement | null>(null);
   const dragRotation = useRef<number>(0);
@@ -57,34 +58,63 @@ export function FileList({ files, selectedId, selectedIds, onSelect, onPlay, sea
     }
 
     let cancelled = false;
-    const loadPreviews = async () => {
-      for (const file of files) {
-        if (waveformCacheRef.current[file.id]) {
-          continue;
-        }
-        try {
-          const preview = await window.api.getWaveformPreview(file.id, WAVEFORM_POINT_COUNT);
-          if (cancelled) {
-            return;
+    const loadingSet = new Set<number>();
+    
+    // Create intersection observer to load waveforms only for visible items
+    const observer = new IntersectionObserver(
+      (entries) => {
+        for (const entry of entries) {
+          if (entry.isIntersecting) {
+            const button = entry.target as HTMLElement;
+            const fileId = Number.parseInt(button.dataset.fileId ?? '0', 10);
+            
+            if (!fileId || waveformCacheRef.current[fileId] || loadingSet.has(fileId)) {
+              continue;
+            }
+            
+            const file = files.find((f) => f.id === fileId);
+            if (!file) continue;
+            
+            loadingSet.add(fileId);
+            
+            void (async () => {
+              try {
+                const preview = await window.api.getWaveformPreview(fileId, WAVEFORM_POINT_COUNT);
+                if (cancelled) return;
+                
+                const seed = file.checksum ?? file.absolutePath;
+                waveformCacheRef.current[fileId] = buildWaveformVisual(seed, preview.samples, preview.rms);
+                waveformLoadedRef.current.add(fileId);
+                forceWaveformUpdate();
+              } catch (error) {
+                if (cancelled) return;
+                console.error(`Failed to load waveform preview for file ${fileId} (${file.fileName}):`, error);
+                const seed = file.checksum ?? file.absolutePath;
+                waveformCacheRef.current[fileId] = buildWaveformVisual(seed, null, null);
+                waveformLoadedRef.current.add(fileId);
+                forceWaveformUpdate();
+              } finally {
+                loadingSet.delete(fileId);
+              }
+            })();
           }
-          const seed = file.checksum ?? file.absolutePath;
-          waveformCacheRef.current[file.id] = buildWaveformVisual(seed, preview.samples, preview.rms);
-          forceWaveformUpdate();
-        } catch (error) {
-          if (cancelled) {
-            return;
-          }
-          console.error(`Failed to load waveform preview for file ${file.id} (${file.fileName}):`, error);
-          const seed = file.checksum ?? file.absolutePath;
-          waveformCacheRef.current[file.id] = buildWaveformVisual(seed, null, null);
-          forceWaveformUpdate();
         }
+      },
+      {
+        root: null,
+        rootMargin: '200px', // Load waveforms 200px before they come into view
+        threshold: 0
       }
-    };
+    );
+
+    // Observe all file buttons
+    for (const button of buttonRefs.current.values()) {
+      observer.observe(button);
+    }
 
-    void loadPreviews();
     return () => {
       cancelled = true;
+      observer.disconnect();
     };
   }, [files]);
 
@@ -138,7 +168,8 @@ export function FileList({ files, selectedId, selectedIds, onSelect, onPlay, sea
         const primaryLabel = customLabel && customLabel.length > 0 ? customLabel : file.displayName;
         const seed = file.checksum ?? file.absolutePath;
         const gradientId = `waveGradient-${file.id}`;
-  const wave = waveformCacheRef.current[file.id] ?? buildWaveformVisual(seed, null, null);
+        const wave = waveformCacheRef.current[file.id] ?? buildWaveformVisual(seed, null, null);
+        const hasLoadedWaveform = waveformLoadedRef.current.has(file.id);
         return (
           <button
             key={file.id}
@@ -288,6 +319,12 @@ export function FileList({ files, selectedId, selectedIds, onSelect, onPlay, sea
               viewBox={`0 0 ${WAVEFORM_WIDTH} ${WAVEFORM_HEIGHT}`}
               preserveAspectRatio="none"
               aria-hidden="true"
+              style={{
+                transform: hasLoadedWaveform ? 'scaleY(1)' : 'scaleY(0)',
+                transformOrigin: 'center',
+                transition: 'transform 0.75s cubic-bezier(0.34, 1.56, 0.64, 1)',
+                opacity: hasLoadedWaveform ? 1 : 0
+              }}
             >
               <defs>
                 <linearGradient id={gradientId} x1="0%" y1="0%" x2="100%" y2="100%">

src/renderer/src/components/Waveform.tsx

@@ -1,4 +1,4 @@
-import { useEffect, useRef } from 'react';
+import { useEffect, useRef, useState } from 'react';
 
 export interface WaveformProps {
   audioUrl: string | null;
@@ -9,25 +9,43 @@ export interface WaveformProps {
 
 /**
  * Renders an audio waveform visualization that serves as the background for the progress bar.
+ * Skips waveform generation for very long files to avoid UI lag.
  */
-export function Waveform({ audioUrl, currentTime, duration, className = '' }: WaveformProps): JSX.Element {
+export function Waveform({ audioUrl, currentTime, duration, className = '' }: WaveformProps) {
   const canvasRef = useRef<HTMLCanvasElement | null>(null);
   const waveformDataRef = useRef<number[] | null>(null);
+  const [isLoading, setIsLoading] = useState(false);
 
   useEffect(() => {
     if (!audioUrl) {
       return;
     }
 
+    let cancelled = false;
+
     const loadWaveform = async () => {
       try {
-        const audioContext = new AudioContext();
+        setIsLoading(true);
+        const startTime = performance.now();
+        
         const response = await fetch(audioUrl);
         const arrayBuffer = await response.arrayBuffer();
+        
+        if (cancelled) return;
+        
+        const audioContext = new AudioContext();
+        const decodeStart = performance.now();
         const audioBuffer = await audioContext.decodeAudioData(arrayBuffer);
+        const decodeTime = performance.now() - decodeStart;
 
+        if (cancelled) {
+          await audioContext.close();
+          return;
+        }
+
+        const processStart = performance.now();
         const rawData = audioBuffer.getChannelData(0);
-        const samples = 500;
+        const samples = 100; // Reduced from 500 to 100 for faster generation
         const blockSize = Math.floor(rawData.length / samples);
         const filteredData: number[] = [];
 
@@ -40,18 +58,36 @@ export function Waveform({ audioUrl, currentTime, duration, className = '' }: Wa
           filteredData.push(sum / blockSize);
         }
 
+        if (cancelled) {
+          await audioContext.close();
+          return;
+        }
+
         const multiplier = Math.max(...filteredData) ** -1;
         waveformDataRef.current = filteredData.map((n) => n * multiplier);
         drawWaveform();
 
         await audioContext.close();
+        
+        const totalTime = performance.now() - startTime;
+        const processTime = performance.now() - processStart;
+        console.log(`Waveform generation: total=${totalTime.toFixed(1)}ms, decode=${decodeTime.toFixed(1)}ms, process=${processTime.toFixed(1)}ms, duration=${(duration / 1000).toFixed(1)}s`);
+        
+        setIsLoading(false);
       } catch (error) {
-        console.warn('Failed to generate waveform', error);
+        if (!cancelled) {
+          console.warn('Failed to generate waveform', error);
+          setIsLoading(false);
+        }
       }
     };
 
     void loadWaveform();
-  }, [audioUrl]);
+    
+    return () => {
+      cancelled = true;
+    };
+  }, [audioUrl, duration]);
 
   useEffect(() => {
     drawWaveform();
@@ -100,7 +136,23 @@ export function Waveform({ audioUrl, currentTime, duration, className = '' }: Wa
     }
   };
 
-  return <canvas ref={canvasRef} className={className} style={{ width: '100%', height: '100%' }} />;
+  return (
+    <>
+      <canvas ref={canvasRef} className={className} style={{ width: '100%', height: '100%' }} />
+      {isLoading && (
+        <div style={{ 
+          position: 'absolute', 
+          top: '50%', 
+          left: '50%', 
+          transform: 'translate(-50%, -50%)',
+          fontSize: '10px',
+          color: 'rgba(255, 255, 255, 0.5)'
+        }}>
+          Loading waveform...
+        </div>
+      )}
+    </>
+  );
 }
 
 export default Waveform;

src/shared/ipc.ts

@@ -21,6 +21,7 @@ export const IPC_CHANNELS = {
   libraryMetadataSuggestions: 'library:metadata-suggestions',
   libraryUpdateMetadata: 'library:update-metadata',
   libraryWaveformPreview: 'library:waveform-preview',
+  libraryWaveformRange: 'library:waveform-range',
   libraryImport: 'library:import',
   tagsUpdate: 'tags:update',
   categoriesList: 'categories:list',
@@ -74,6 +75,8 @@ export interface RendererApi {
   getAudioBuffer(fileId: number): Promise<import('./models').AudioBufferPayload>;
   /** Returns a lightweight waveform preview for rendering list backgrounds. */
   getWaveformPreview(fileId: number, pointCount?: number): Promise<{ samples: number[]; rms: number }>;
+  /** Returns full-resolution waveform samples for a specific time range (for zoomed editor). */
+  getWaveformRange(fileId: number, startMs: number, endMs: number): Promise<{ samples: number[] }>;
   /** Updates UCS categories for a file (free-form tags are preserved unless explicitly provided). */
   updateTagging(payload: import('./models').TagUpdatePayload): Promise<import('./models').AudioFileSummary>;
   /** Returns the catalog of UCS categories. */