You know that moment when you’re deep in an automation build and everything is flowing beautifully, until an audio file shows up the size of a small planet and your system says,
“Nope. I don’t do that.”
Yeah. That moment.
This week’s discussion was all about audio processing systems, AI-driven workflows, and how to pick the right setup depending on whether you’re processing voicemail, sales calls, long-form recordings, or hours of client content.
And let me tell you, the gap between “simple audio automation” and “enterprise-grade processing pipeline” is very real.
Two Types of Audio Systems (And You Only Need One)
From the conversation, two clear routes emerged:
1. The “Simple & Effective” Audio Processing System
Gabe Ross shared his setup:
- Pulls audio from Google Drive or webhooks
- Processes files inside an automation
- Feeds the results into HighLevel
It works beautifully for:
- Short sales calls
- Voicemails
- Quick client recordings
- Simple analysis tasks
Downside:
⚠️ It doesn’t handle audio files over 24MB.
If you’re not working with podcasts, hour-long recordings, or giant WAV files, this system is perfectly fine.
2. The “Heavy-Duty, Enterprise-Level” Audio System
Then HighLevel demoed the big one, an audio processing rig built for a much larger company.
This thing is a monster.
- Handles files way over 24MB
- Automatically splits them into chunks
- Processes each chunk
- Reassembles the results
- Uses FFMPEG (the Swiss Army knife of audio) for precision
- Fully automated from upload → processing → data output
If you’re doing:
- Long-form call analysis
- Voice AI training
- Multi-hour content breakdowns
- Retail voice AI (like Gabe’s project)
- High-volume sales call processing
- Or anything meant to scale across thousands of files
This is the system you need.
It’s the difference between:
- 💻 Editing audio on your laptop
vs. - 🏭 Running an automated audio factory
Which System Should You Use?
Ask yourself one question:
“How big are the audio files I need to process on a regular basis?”
Because the size determines the system.
✔ Under 24MB?
Use Gabe’s simple system. Faster build, fewer moving parts, easier to maintain.
✔ Over 24MB?
You need the FFMPEG chunking pipeline. There’s no way around it, big audio requires big infrastructure.
And honestly?
That’s a good thing.
It forces you to build a scalable process instead of duct-taping a script together.
How This Connects to HighLevel
This wasn’t just a geeky audio conversation.
Audio processing ties directly into:
- AI call analysis
- Lead scoring
- Intent detection
- Sales coaching
- Automated content creation
- N8N workflows
- “Voice to CRM” data entry
- AI email + call management systems
The cleaner your audio pipeline, the more reliably your AI can:
- detect pain points
- categorize objections
- trigger automations
- generate summaries
- improve scripts
- and send personalized follow-ups
Good audio processing = good AI output.
The Future of Audio + AI Is Going to Be Wild
With:
- N8N workflows getting more powerful
- ChatGPT models getting smarter
- Voice AI becoming mainstream
- HighLevel tightening its integrations
We’re heading toward a world where:
- Sales reps get call feedback instantly
- AI writes follow-up texts based on tone
- CRM fields update themselves
- Call summaries write themselves
- Training material generates automatically
Audio isn’t a standalone task anymore. It’s a data source, one that can automate entire departments.
If You Want to Automate Smarter, Faster, and Without the Headaches…
Don’t just build automations, build better automations.
Cool Free Thing
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To save you the hassle of chasing them manually, I’m sharing the automated testimonial system my team uses. It collects, organizes, and formats testimonials without you lifting a finger.
Frequently Asked Questions
✔ Under 24MB?
Use Gabe’s simple system. Faster build, fewer moving parts, easier to maintain.
✔ Over 24MB?
You need the FFMPEG chunking pipeline. There’s no way around it, big audio requires big infrastructure. And honestly?That’s a good thing.It forces you to build a scalable process instead of duct-taping a script together.
What should I know about the “Simple & Effective” Audio Processing System?
Gabe Ross shared his setup: Pulls audio from Google Drive or webhooks Processes files inside an automation Feeds the results into HighLevel It works beautifully for: Short sales calls Voicemails Quick client recordings Simple analysis tasks Downside: ⚠️ It doesn’t handle audio files over 24MB. If you’re not working with podcasts, hour-long recordings, or giant WAV files, this system is perfectly fine.
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