AI-Powered Voice Recorder by Anker Promises to Transform Conversations
Anker has unveiled its latest product, the Soundcore Work, an AI-powered voice recorder capable of transcribing, summarizing, and highlighting key moments from conversations. This innovative device, resembling offerings from competing brands, aims to provide users with a practical and efficient tool for capturing important discussions, reports 24brussels.
Scheduled for launch in September, the Soundcore Work is designed to be compact, measuring just 0.91 inches, making it smaller than a quarter. Despite its size, it offers a thickness that accommodates an impressive range of features. It retails for $99.99, which includes basic services, while a subscription model at $15.99 per month will provide users with additional, yet-to-be-disclosed features.
The device is intended to be easily wearable, either attached to a lanyard or clipped onto clothing with a magnetic holder. Weighing only 10 grams, it boasts an eight-hour battery life, and its unique proprietary charger extends usage to 32 hours on a single charge.
Importantly, the Soundcore Work does not continuously record throughout the day. Instead, recording is initiated through a single tap on the device, with a double tap available to mark significant portions of conversations for later reference in transcripts.
Utilizing advanced AI technology, specifically GPT-4.1 and anticipated GPT-5.0, the device can transcribe recordings in over 100 languages. Users will find their transcripts and audio recordings accessible in the Soundcore mobile app, where they can be searched or exported to various formats. However, during the transcription process, the encrypted audio files are temporarily sent to the AI provider’s cloud for processing and are deleted after use, a point Anker previously misstated. They clarified that audio is also sent during the transcription process, not just when sharing files.
Correction, September 4th: Anker originally stated the Soundcore Work only sends audio recordings to the cloud when sharing them, but later clarified that they’re also temporarily sent to the cloud when being transcribed.