Introducing "Tag Bridging" and deep batch embedding of covers and lyrics to seamlessly integrate with your professional workflow.
Pure Lab 3.0: Next-Gen AI Audio & Asset Workstation
Designed for producers, DJs, and sound designers, Pure Lab 3.0 leverages on-device AI to transform chaotic local files into a highly organized, production-ready asset library. Experience powerful AI analysis, dynamic file management, and industry-standard metadata tools.
Core Features
1. Deep AI Analysis & "Tag Bridging"
AI Smart Tagging: Automatically extract Genre, Style, Mood, and Instruments locally without manual listening.
Tag Bridging: Embed AI-generated tags directly into audio files for seamless recognition in DJ software (Rekordbox, Serato) and Hi-Res players.
BPM & Key Detection: Auto-scan BPM and Camelot Key for flawless DJ mixing.
2. Advanced Physical Management
Dynamic Renaming: Auto-rename files and restructure folders based on metadata (e.g., Artist/Album/Title).
Batch Embedding: Bulk embed high-res covers and lyrics into thousands of files instantly.
Hardcore Snapshots: "Global Snapshot" provides instant disaster recovery and version rollbacks to protect your data.
3. Pro Workflows & Industry Standards
Hollywood Standards: Native support for UCS auto-classification and BWF metadata (Read/Write).
DAW "Music Basket": A floating hub to collect, drag, drop, and auto-convert audio directly into any DAW or DJ software.
Excel I/O: Bulk edit library tags seamlessly via Excel import/export.
AI Retrieval: Use Text-to-Audio or Audio-to-Audio search to find the perfect sample instantly.
4. Hi-Res Quality Check
Detect "Fake Lossless": Analyze true audio quality with spectrum scoring and cutoff frequency detection.
Universal Formats: Supports WAV, FLAC, MP3, AAC, OGG, DSF, DFF, and more.
100% Local & Secure
All AI models and algorithms run entirely offline. Zero uploads mean your commercial secrets and local assets stay strictly private.
Plans & Features
Free: Basic tagging, single-track rollback, Hi-Res checks, and limited AI analysis.
Plus: Unlimited AI Analysis & Tag Bridging, dynamic renaming, batch covers/lyrics, Music Basket conversion, Excel I/O, and Global Snapshots.
Pro: Plus features + AI Smart Search (Text/Audio retrieval), UCS auto-classification, BWF support, and Custom Tags for top-tier pipelines.
Contact Us
Efficient Lab – Crafting professional hi-fi audio tools.
Website: https://efficient-lab.com/
Ratings & Reviews
This app hasn’t received enough ratings or reviews to display an overview.
1. "Tag Bridging" Feature
Seamless Integration with Pro Software: Bridged tags can now be perfectly recognized and read by major professional DJ software (such as Rekordbox, Serato) and various local Hi-Res music players. Your AI analysis results are no longer isolated within the app, but truly integrated into your entire professional workflow.
2. Batch Cover & Lyric Embedding
Deep Physical Embedding: Introducing a lightning-fast batch embedding feature. You can now directly write and embed high-resolution album covers and lyrics into the underlying physical structure of your audio files.
Cross-Device Consistency: Whether you are backing up files, sharing them with collaborators, or importing them to other playback devices, your embedded covers and lyrics will be accurately read and flawlessly displayed, perfectly meeting the high standards of local music collectors.
If you enjoy using Pure Lab, please consider leaving us a rating and review in the store!
Version 3.3.3
The developer, 颖祺 高, indicated that the app’s privacy practices may include handling of data as described below. For more information, see the developer’s privacy policy .
Data Not Collected
The developer does not collect any data from this app.
Privacy practices may vary, for example, based on the features you use or your age. Learn More
Accessibility
The developer has not yet indicated which accessibility features this app supports. Learn More
Information
Seller
颖祺 高
Size
88.5 MB
Category
Music
Compatibility
Requires macOS 12.0 or later and a Mac with Apple M1 chip or later.
Mac Requires macOS 12.0 or later and a Mac with Apple M1 chip or later.