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Doubao Input Method Launches macOS Version

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88Z AI, 14 May — ByteDance's Doubao Input Method has officially launched its macOS version, enabling Apple computer users to input text via voice. Built on the same speech model as the Doubao app, it features real-time transcription without time limits, supporting various dialects, mixed Chinese-English speech, and intelligent error correction.

At a glance

  • The macOS version supports real-time speech-to-text without time limits, displaying text as you speak.
  • It features intelligent error correction, support for multiple dialects, mixed Chinese-English input, and memory of personal habits.
Cover image for Doubao Input Method Launches macOS Version
Cover image for Doubao Input Method Launches macOS Version

The update

ByteDance's Doubao Input Method has officially launched its macOS version, offering Apple computer users a new voice input experience. The version utilizes the same speech model technology as the Doubao app, allowing users to perform real-time speech-to-text conversion in any input field. A key feature is its ability to display text as you speak without any time limits on voice duration, significantly improving the fluency of long-text input. In terms of functionality, the new input method supports recognition of various dialects and mixed Chinese-English input. It also features robust intelligent processing capabilities, automatically correcting filler words, grammatical errors, and slips of the tongue to ensure output accuracy. Furthermore, the system remembers users' personalized word correction habits, providing input services that better align with individual styles over time.

Sources & editorial note

This article is an AI-assisted synthesis by 88Z AI based on the public sources below. Product claims and availability are attributed to their publishers. It does not represent independent testing or first-hand reporting.

  1. 豆包Source published

Source dates above refer to the original announcements; the date under the headline is this article’s publication on 88Z AI.

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