
Record meetings, interviews, lectures, or app audio directly on your iPhone.
Generate transcripts on-device with support for 90+ languages and multilingual workflows.
Use Mac for higher-accuracy transcription, speaker separation, editing, and structured summaries.
Turn conversations into searchable notes, summaries, and structured workflows for long-term reference.
Capture conversations anywhere.
Built for fast recording, mobile transcription, app audio capture, and quick multilingual workflows directly on your iPhone.
Built for deeper review and AI workflows.
Designed for high-accuracy transcription, speaker separation, transcript editing, summaries, and structured AI processing on Apple Silicon.
Sensitive recordings stay on your device whenever possible.
Built for interviews, lectures, meetings, podcasts, and extended conversations.
Generate summaries, organized notes, and reusable transcripts.
Capture on iPhone. Review deeply on Mac.
| Feature | iPhone | Mac |
|---|---|---|
| Recording | ✅ | ✅ |
| App Audio Capture | ✅ | ✅ |
| Offline Transcription | ✅ | ✅ |
| Offline Summaries | — | ✅ |
| Cloud Transcription | ✅ | ✅ |
| Cloud Summaries | ✅ | ✅ |
| Long-Form Transcription | Limited | Excellent |
| Best For | Fast Capture | Deep Review & AI Workflows |
Can't find the answers you're looking for? Click the button below to find the answers you need.
The iPhone app focuses on fast capture, mobile transcription, and app audio workflows. The Mac app is designed for deeper review, including higher-accuracy transcription, speaker separation, AI summaries, and structured editing workflows.
Yes. Many Geode workflows are designed to run directly on your device using local AI processing, reducing dependence on cloud infrastructure.
Yes. Geode supports transcription and translation workflows across more than 90 languages.
Yes. One Geode account works across iPhone, iPad, and Mac, allowing users to combine mobile capture with deeper desktop workflows.
Geode is optimized for Apple Silicon because local AI transcription and summarization rely heavily on GPU and Neural Engine performance for speed and accuracy.
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