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.
GuideMost advice about transcription accuracy is generic. This guide ranks the five levers by measured effect: microphone distance, overlapping speakers, noise and silence, language and vocabulary, and the model variant — with the published numbers that show how much each one moves your error rate.
AIA reference page of speech-to-text statistics that all trace to a primary source: benchmark WERs by audio condition, model-by-model error rates, the human baseline, bias and hallucination findings, and dictation speed — plus the widely quoted numbers we could not verify and left out.
AIWord error rate counts substitutions, deletions, and insertions against the words actually spoken. What the formula includes, what it quietly ignores, why the same model scores differently in two papers, and how to measure your own WER in ten minutes.
AIApple's on-device SpeechAnalyzer beat Whisper in a widely shared benchmark — but that test ran Whisper Small on English audiobooks. Here is what it measured, what it did not, and which engine fits which recording.
AIWhat Whisper accuracy actually looks like: roughly 2–3% word error rate on clean read speech, about 7% across mixed English benchmarks, around 16% in meeting rooms — and what moves those numbers most.
GuideWhy an iPhone voice memo has no transcript — the device, iOS version, language, and region checks in order, plus the cases where no setting helps and what to use instead.
GuideFive iOS apps that transcribe without uploading your audio — compared on models, speaker labels, exports, device requirements, and price.
AIThe four best Whisper apps for iPhone and iPad, compared by the Whisper model variant each one actually runs and whether it runs on your device or a server.
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.
AIA practical comparison of Parakeet V3 and Whisper Large V3: benchmark accuracy, speed, language coverage, hallucination behavior, and which model fits on-device transcription.
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.
