{"id":"2535be1a-3463-4033-a9db-13242082f9d4","kind":"companies","code":"UB-C13194","name":"Shengyi","nameBasis":"translated","summary":"macOS voice input method—speak faster than typing","description":"VoiceInput is a macOS voice input method: hold right Option to speak, release and text lands at the cursor; each sentence also settles into searchable on-device memory; iPhone has a separate keyboard App. Free tier works out of the box; local engine can be fully offline.","country":null,"category":null,"originalName":"声忆","eventDate":null,"website":"https://voiceinput.app/","sourceUpdatedAt":"2026-10-26T00:00:00.000Z","englishUpdatedAt":"2026-11-01T02:13:59.725Z","reviewedAt":"2026-11-01T02:13:59.725Z","snapshotAt":"2026-11-01T00:40:31.077Z","sourceHash":"5f28f6fa92452117a81a6bd65bafffc23917ea7b51a2cd36453020bbc82e483c","companyId":null,"foundedYear":null,"logoUrl":null,"originalText":"macOS 语音输入法，说得比打字快\n\n声忆（VoiceInput）是一款 macOS 上的语音输入法，用来按住右 Option 说话、松手后文字直接落在光标处，每一句同时沉淀为可搜索的本机记忆；iPhone 另有独立的键盘 App。免费版开箱即用，本地引擎可完全离线。","sources":[],"related":[{"id":"ad13edfa-d404-492b-aae4-0067dd34b481","kind":"products","code":"UB-D7532","name":"Shengyi","nameBasis":"transliterated","summary":"Shengyi (VoiceInput) is an AI-native voice-input and knowledge-capture platform for macOS users, indie full-stack developers, writers, and digital geeks chasing ultra-fast text entry. It focuses on high perceived latency of traditional voice IMEs, filler words, poor brand-term recognition, and long voice fragments that fail to become lasting personal memory. On a Mac, hold the right Option key to speak; on release the system places finished text precisely at the current cursor within 1.4 seconds. It deeply fuses multiple local offline ASR engines, seamless semantic tidy logic, and lightweight local typesetting rules—cutting the friction of high-frequency window switches among typing, recording, and polish. Unlike traditional voice IMEs that lean hard on external cloud calls (easy commercial-privacy leaks) or only one-shot static transcription, Shengyi stresses deep fusion of \"tool, data, intelligence\" and absolute local data. The stack natively supports SenseVoice, Paraformer, and Apple local offline engines, and commits that aside from reporting seconds for global pulse stats, recordings and text stay fully on-device.","description":"Shengyi (VoiceInput) is an AI-native voice-input and knowledge-capture platform for macOS users, indie full-stack developers, writers, and digital geeks chasing ultra-fast text entry. It focuses on high perceived latency of traditional voice IMEs, filler words, poor brand-term recognition, and long voice fragments that fail to become lasting personal memory. On a Mac, hold the right Option key to speak; on release the system places finished text precisely at the current cursor within 1.4 seconds. It deeply fuses multiple local offline ASR engines, seamless semantic tidy logic, and lightweight local typesetting rules—cutting the friction of high-frequency window switches among typing, recording, and polish. Unlike traditional voice IMEs that lean hard on external cloud calls (easy commercial-privacy leaks) or only one-shot static transcription, Shengyi stresses deep fusion of \"tool, data, intelligence\" and absolute local data. 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It focuses on high perceived latency of traditional voice IMEs, filler words, poor brand-term recognition, and long voice fragments that fail to become lasting personal memory. On a Mac, hold the right Option key to speak; on release the system places finished text precisely at the current cursor within 1.4 seconds. It deeply fuses multiple local offline ASR engines, seamless semantic tidy logic, and lightweight local typesetting rules—cutting the friction of high-frequency window switches among typing, recording, and polish. Unlike traditional voice IMEs that lean hard on external cloud calls (easy commercial-privacy leaks) or only one-shot static transcription, Shengyi stresses deep fusion of \"tool, data, intelligence\" and absolute local data. The stack natively supports SenseVoice, Paraformer, and Apple local offline engines, and commits that aside from reporting seconds for global pulse stats, recordings and text stay fully on-device.","description":"Shengyi (VoiceInput) is an AI-native voice-input and knowledge-capture platform for macOS users, indie full-stack developers, writers, and digital geeks chasing ultra-fast text entry. It focuses on high perceived latency of traditional voice IMEs, filler words, poor brand-term recognition, and long voice fragments that fail to become lasting personal memory. On a Mac, hold the right Option key to speak; on release the system places finished text precisely at the current cursor within 1.4 seconds. It deeply fuses multiple local offline ASR engines, seamless semantic tidy logic, and lightweight local typesetting rules—cutting the friction of high-frequency window switches among typing, recording, and polish. Unlike traditional voice IMEs that lean hard on external cloud calls (easy commercial-privacy leaks) or only one-shot static transcription, Shengyi stresses deep fusion of \"tool, data, intelligence\" and absolute local data. 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