Transcribe audio and video files with remarkable accuracy—completely offline for privacy. AI Transcription uses OpenAI’s advanced Whisper speech recognition (ASR) to convert speech (from podcasts and presentations to meetings, lectures, and voice messages) into text and subtitles. It’s designed to perform reliably even with strong accents, background noise, or domain-specific language. Features • AI-powered audio-to-text converter • Just drag & drop: Transcription starts automatically • Supercharged by OpenAI’s Whisper speech recognition technology (ASR) • Privacy by design: Your audio never leaves your Mac. Everything is processed on-device, fully offline. • User-friendly, lightweight design, yet powerful • Export transcriptions as plain text, CSV, SBV, SRT and WEBVTT files • Split transcripts into words, sentences, or time segments • Supported input formats: MP3, WAV, CAF, AIFC, M4A, MP4 This app wouldn’t be possible without the work of Georgi Gerganov an his excellent port of OpenAI’s Whisper model in C/C++ (whisper.ccp) ⁂ Support If you need help or want to make a feature suggestion, I’d love hearing from you → https://appahead.studio/help/ Feedback Enjoying AI Transcription? I’d love your support with a kind review on the App Store. About I’m Martin — designer, developer, and founder of App ahead. Since 2015, I’ve been creating ambitious apps for Apple devices, driven by a strong vision and thoughtful, forward-thinking design. Terms of Use: https://appahead.studio/terms Privacy Policy: https://appahead.studio/privacy
App's data is regularly updated.
Last update:
I’ve fine-tuned the timecodes to make your transcriptions even sharper. Plus, there’s a brand-new export format: SBV (SubViewer)—perfect for YouTube, for example!
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