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| File Name | Rating | Downloads | ||
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Audio Fake Detector PRO v7.7 Audio Fake Detector PRO v7.7 👉 Detects fake high-quality audio files by identifying lossy-to-lossless transcodes using advanced spectral and statistical analysis. Audio Fake Detector PRO detects fake high quality audio files, including lossy sources such as MP3 or AAC that have been transcoded or disguised as lossless formats like WAV or FLAC. Audio Fake Detector PRO uses a hybrid analysis engine combining spectrogram-based detection and statistical verification depending on the file type. Lossy formats are analyzed using frequency cutoff behavior, abrupt endings, stereo anomalies, and majority-vote segment analysis, while lossless formats are verified using auCDtect statistical analysis. Each audio file is divided into multiple segments and independently evaluated to reduce false positives and false negatives caused by mixed-quality content. Detailed reports are generated in several formats, and suspicious files can automatically be moved into a dedicated folder while preserving the original folder structure. Features: Detects lossy-to-lossless and lossy-to-lossy transcodes Hybrid analysis engine using spectrogram and statistical methods Multi-segment majority voting system for improved accuracy Spectral cutoff and compression artifact detection Joint stereo anomaly detection Automatic download and use of ffmpeg, ffprobe, and auCDtect Metadata recovery with multi-step fallback analysis Fast spectrogram processing with optimized implementation Intelligent segment selection to reduce processing overhead Generates reports in LOG, CSV, and HTML formats Moves suspicious files to ~Fake while preserving folder structure Supports hidden files and batch folder analysis A file is classified as FAKE in the following cases: Bitrate < 170 kbps (pre-filter) Lossy formats (MP3/M4A/AAC/OGG/OPUS/WMA) with a hard cutoff ≤ 16.5 kHz Lossless formats (FLAC/WAV/APE/AIFF/WV) showing strong MPEG artifacts (auCDtect ≥ 80%) Lossless files with abnormal spectrogram cutoff behavior Mixed-source encoding or inconsistencies between segments Note: Automatically downloads required tools on first run: ffmpeg and ffprobe (audio decoding and analysis), and auCDtect (lossless audio verification) Note: It is designed for modern digital music collections and large batches of ... |
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253 | May 31, 2026 Alessandro Comito  |
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CHK v6.11 CHK v6.11 👉 Advanced portable file hashing and verification tool. CHK is an advanced file hashing and verification tool with a simple interface and a portable, no-install design. It can verify file integrity, find duplicate files, and compute checksums quickly, while also supporting full Unicode and drag-and-drop operation. Features: Verify the integrity of downloaded or transferred files Find and remove duplicate files Supports a wide range of algorithms including CRC-32, MD5, SHA-256, BLAKE3, xxHash3, and more Compute Shannon Entropy for files to help spot compressed or encrypted data Portable design with no installation required Full Unicode support Drag-and-drop support Free to use Supported operating systems: Windows 32-bit Windows 64-bit Supported languages: Chinese Simplified, Chinese Traditional, English, French, German, Greek, Hungarian, Italian, Japanese, Korean, Spanish Changes: v6.11 03-27-26 Major speed improvements: switched to a virtual list view + improved multithreading. Added "Exact Sizes" feature. Re-added LZ4 compression probe (same as lz4 -B6). Total size is now displayed on the status bar. GUI improvements & bug fixes. This download is for the Windows 64bit version (very bottom of page). If you need the Windows 32bit version, download here. If you need the Language Packs, download here. The Language Packs includes the following languages: Chinese Simplified, Chinese Traditional, English, French, German, Greek, Hungarian, Italian, Japanese, Korean, Spanish Click here to visit the author's website. |
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824 | Mar 30, 2026 Ilya Muravyov  |
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Vorn v1.0.3 Vorn v1.0.3 👉 Fast, private, crash-safe backup program with advanced features. Vorn is a modern local-first backup application designed to securely protect files without relying on cloud services, subscriptions, accounts, or telemetry. Instead of uploading data to external servers, Vorn stores everything inside a local vault controlled entirely by the user. The software uses content-addressable storage powered by BLAKE3 hashing, allowing duplicate data to be stored only once even across multiple backup sessions. This greatly reduces storage usage while improving backup efficiency. Vorn was built with reliability and data integrity in mind. It uses atomic writes, write-ahead logging, resumable operations, and integrity verification to help prevent corruption during crashes or unexpected shutdowns. Large files are automatically divided into chunks, making backups more resilient and easier to resume if interrupted. Optional gzip compression can reduce storage requirements further while maintaining compatibility with the portable vault format. The application features a clean desktop interface with dark and light themes, portable executables, and cross-platform support for Windows, macOS, and Linux systems. Since the backup vault is self-contained and self-describing, users can move backups between systems or restore files to different locations without depending on proprietary cloud infrastructure. Vorn is designed for users who want complete control of their backups while maintaining speed, privacy, and simplicity. Features: Local-first backup architecture with no cloud dependency Fully offline operation with no accounts or telemetry Content-addressable storage using fast BLAKE3 hashing Automatic deduplication across all backup sessions Stores identical file content only once to save disk space Chunked storage engine for efficient handling of large files Resumable backup operations after interruptions or crashes Atomic write protection for safer backup transactions Write-ahead logging to improve recovery reliability Self-describing portable vault format Integrity verification to detect damaged or missing data Optional gzip compression for reduced storage usage Smart pruning system for reclaiming unused ... |
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49 | May 29, 2026 Leonardo Ciaccio  |
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