Zero-Touch Podcast Production
Record. Stop. Done. From recording to edited clips, transcripts, and show notes—automatically. Our AI production pipeline processes your podcast the moment you stop recording. No manual uploads. No drive swapping. No waiting.
Powered by NVIDIA GPU acceleration
The content creator's burden
Every podcast episode requires hours of post-production work that takes you away from creating.
| Task | Time (Manual) | Pain Point |
|---|---|---|
| File transfer | 15-30 min | Swapping drives, uploading |
| Transcription | 1-2 hours | Waiting for services, editing |
| Clip selection | 1-3 hours | Scrubbing through footage |
| Show notes | 30-60 min | Summarizing, formatting |
| Total | 4-8 hours | Per episode |
The result: Creators spend more time editing than creating.
AI-Powered Production Pipeline
Your ATEM shares its USB drive over the network. Our AI watches for new recordings and processes them automatically.
Record
Record as usual on your ATEM Mini Pro ISO
Detect
AI detects completion within seconds
Process
Transcription, diarization, clips generated
Deliver
Assets ready for publishing
Everything you need, automatically generated
After every recording, you get a complete package of production-ready assets without lifting a finger.
Auto-Transcription
Full episode transcripts with speaker labels and timestamps. Export as JSON, SRT subtitles, or plain text—ready for YouTube, your website, or accessibility compliance.
Smart Clip Detection
AI identifies and clips key moments automatically—highlights, quotable segments, and engaging soundbites ready for social media promotion.
AI-Generated Show Notes
Comprehensive summaries, chapter timestamps, and links extracted automatically. Publish-ready show notes that would take an hour to write manually.
Speaker Diarization
Multi-speaker shows? No problem. Our AI identifies who said what, with per-speaker segments and talk time statistics for each episode.
Built on NVIDIA for local processing
Your content never leaves your network. Process everything locally with NVIDIA GPU acceleration—no cloud fees, no upload latency, no privacy concerns.
NVIDIA DGX Spark
Local GPU processing for AI inference. No cloud upload required—your content stays on your network.
NeMo Framework
State-of-the-art speech recognition and diarization models optimized for podcast audio.
ATEM Integration
Direct network access to recordings via ATEM's network share feature. Zero file transfers, sub-minute latency.
Temporal Workflows
Reliable, resumable processing pipeline. If something fails, it picks up where it left off.
What you get after every recording
/output/ ├── episode_001/ │ ├── transcript.json # Full transcript with timestamps │ ├── transcript.srt # Subtitles ready for YouTube │ ├── show_notes.md # AI-generated summary │ ├── clips/ │ │ ├── highlight_01.mp4 # Auto-detected key moments │ │ ├── highlight_02.mp4 │ │ └── ... │ ├── speakers/ │ │ ├── speaker_segments.json # Who spoke when │ │ └── speaker_stats.json # Talk time per speaker │ └── metadata.json # Episode metadata
Frequently Asked Questions
Ready to automate your podcast?
Join our early access program and be among the first to experience zero-touch podcast production. For podcasters, studios, and developers.