AIOn-device AI transcription means the speech model runs on the phone itself — there is no upload step for your audio to take. What actually happens between the microphone and the text, what the Neural Engine does, why memory (not compute) decides which model your app runs, and what on-device genuinely cannot do.
GuideFive iOS apps that transcribe without uploading your audio — compared on models, speaker labels, exports, device requirements, and price.
GuideSeven iPhone and iPad speech-to-text apps compared on where your audio is processed, language coverage, exports, and price.
GuideCompare LoroNote and Aiko for private offline Whisper transcription, recording, speaker labels, supported Apple devices, exports, and pricing.
GuideFrom copying the built-in Voice Memos transcript to converting existing audio and video files into speaker-labeled text and SRT subtitles — every practical way to transcribe a recording on iPhone.
GuideTurn a meeting recording into useful minutes with speaker labels, decisions, owners, deadlines, and open questions. Includes a copy-ready meeting minutes template.
GuideA practical comparison of LoroNote and Otter.ai covering price, transcription limits, offline use, privacy, AI summaries, and meeting collaboration — and when a private on-device app is the better Otter.ai alternative.
AIA clear look at how Whisper Large V3 Turbo makes the Large V3 architecture faster and lighter, where it still has limits, and why it powers transcription in LoroNote.
GuideLearn how LoroNote automatically separates speakers in meetings and interviews, then rename speakers and correct individual or multiple segments on iPhone and iPad.
GuideWhy on-device transcription beats the cloud on speed, cost, and privacy — and how to turn any recording into accurate text on your iPhone or iPad without an internet connection.
