Voice Memos is an audio recorder App for iPhone and iPad that covers some of the new technologies and APIs introduced in iOS 8 written in Swift.
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Updated
Feb 19, 2018 - Swift
Voice Memos is an audio recorder App for iPhone and iPad that covers some of the new technologies and APIs introduced in iOS 8 written in Swift.
Export audio files from macOS Voice Memos App with right filename and date created
Diktafon is a private, open-source voice memo app that transcribes and summarizes your recordings entirely on your device — organized like cassette tapes.
A private, open-source Google Keep alternative for Obsidian: a trio of card-grid plugin, Android companion app, and Chrome web clipper. Install all three for the full Keep experience. Offline, no account, plain Markdown.
Apple Watch → structured voice notes: Voice Memos → 妙记 (Lark Minutes) STT with server-side speaker diarization → Apple Notes / Feishu / Obsidian / custom deliveries. Ships with 回音壁 EchoWall, a local-first desktop app to browse, play, tag speakers, and manage the archive.
🎙一款在科大讯飞基础上二次开发的语音识别功能的开源框架,目前支持两种样式:1.键盘上方语音按钮;2.按钮调用自定义语音界面;
A simple Audio Recorder and Playback application written in C# using Visual Studio and the Universal Windows Platform (UWP) framework.
Private voice memos with offline speech recognition, real-time transcription, and AES‑256 encryption.
科大讯飞语音识别SDK,为其他开源项目做引用,仅仅SDK
local desktop transcription and search for apple voice memos and videos
Bsticky is tag based memo taking application.
🐝 A VSCode Extension that allows you to record voice memos as you code.
Private transcription for people who work with words.
A voice recording app for Windows Phone
macOS Voice Memos watcher that reads recordings locally and auto-transcribes them with WhisperKit
Local Apple Voice Memos ingestion, transcription, search, and safe Codex workflow handoff
Starter project for the Voicey API
Turn macOS Voice Memos into structured Obsidian notes automatically — local whisper.cpp transcription + Codex analysis, no API key.
A student companion app developed as a submission for an Android Development Module 300CEM at Coventry University
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