Wavenoter is an AI driven multifunctional AI voice tool that integrates dual-mode recording, real-time transcription and translation of 112 languages, intelligent content extraction based on large models (abstracts/mind maps/action items), audio editing, multi format export and office collaboration, data security storage, and scenario based templates. It is suitable for business meetings, cross language communication, learning records, and other scenarios. The main manifestations are:
1. Dual mode recording: Supports recording call content with vibration conduction sensor (VCS) (bypassing iOS restrictions) and recording ambient sound with air conduction sensor, suitable for meetings, interviews, and other scenarios.
2. Real time transcription and translation: Supports real-time speech to text conversion in 112 languages, automatically generates text with a timeline, and provides multilingual translation functionality.
3. Intelligent content extraction: Based on GPT-4o and Claude 3.5 models, automatically generate meeting summaries, mind maps, action items, and support speaker tag editing.
4. Audio editing tool: Provides features such as noise reduction, voice enhancement, automatic mute deletion, and clip editing to optimize recording quality.
5. Multi format export and collaboration: Supports exporting to Word, PDF, JPG and other formats, and integrates with some office tools to achieve data synchronization.
6. Data security guarantee: local encrypted storage+cloud backup, in compliance with privacy regulations.
7. Scenario based templates: Provide over 20 professional templates such as meeting minutes, classroom notes, interview records, etc., to generate structured content with just one click.
8. Hardware compatibility: Suitable for magnetic wearables (such as iPhone MagSafe), with a 400mAh battery that supports 30 hours of continuous recording and stores 480 hours of audio.
9. Cross device management: Manage audio files through an app or web, support classification, search, and sharing, and import external audio files for processing.