Thoughts on AI-assisted metadata generation for audio libraries? - TrackTag

Hey Product Hunt! 👋

I'm Adi from AGsoundtrax - Stock Music Library , and I'm thrilled to launch TrackTag today!

The Story Behind TrackTag:

As a musician, I spent countless hours manually organizing my music library—trying to think of creative music descriptions, keywords, BPM values, guessing keys, and creating consistent track names. After talking to hundreds of DJs and producers, I realized everyone faces the same frustration, so we built TrackTag: an AI that does the tedious work for you.

What Makes TrackTag Different:

🎯 Accuracy: Our AI analyzes the actual audio, not just metadata

⚡ Speed: Full analysis in seconds, not minutes

🎙️ Voice Mode: Talk to TrackTag, and describe your music mood

💡 Smart: Generates contextual tags and professional names

🔒 Private: Your audio is analyzed securely and never stored

How It Works:

1. Upload your audio file (MP3, WAV, AIFF, FLAC)

2. AI analyzes the track (BPM, key, genre, mood, instruments)

3. Get AI-generated track names with adjustable creativity

4. Generate tags organized by categories

5. Export everything to TXT, CSV, or PDF

Current Features:

✅ AI audio analysis with BPM & key detection

✅ Professional track name generation

✅ Smart tag generation (30+ tags per track)

✅ Custom tag categories

✅ Description generator (short & long form)

✅ Session saving & restoration

✅ Export to multiple formats (Pro feature)

✅ Voice-activated AI assistant

We're Here All Day and I'd love your feedback on incase you think this tool is for your.

• What metadata matters most to you?

• What features would make TrackTag indispensable?

• What audio workflows frustrate you most?

Special Product Hunt Offer:

Use code PH100OFF for 100% off Pro for 1 month 🎁

Let's revolutionize music organization together! 🎵

P.S. - We're a team passionate about making tools for musicians, by musicians. Every feature we build is driven by community feedback!