Plaud Boosts Note-Taking Device with Expanded Range and Battery Savings
AI Gadgets
Note-Taking Device
Audio Recording
Artificial Intelligence
Plaud
GPT
Claude
Gemini
Tech
Gadgets
7
Refined Utility
Media Hype
6/10
Real Impact
7/10
What is the Viqus Verdict?
We evaluate each news story based on its real impact versus its media hype to offer a clear and objective perspective.
AI Analysis:
While not a revolutionary product, the Plaud Note Pro’s refined utility and consistent integration with top LLMs ensure it will gain traction, particularly as consumers increasingly seek discreet, AI-powered solutions for information capture. The score reflects the incremental progress rather than a groundbreaking innovation.
Article Summary
Plaud, the company behind the functional AI wearable, is expanding its ecosystem with the Note Pro, an upgraded iteration of its credit card-sized AI note-taker. The core functionality—AI-powered recording, transcription, and summarization—remains, but the Note Pro boasts significantly improved capabilities. Dual microphones extend the audio pickup range to 16.4 feet, while a new ‘endurance’ battery mode provides up to 50 hours of recording on a single charge, sacrificing some range. The device also features a 1-inch display showing battery status and recording mode. Users can ‘press-to-highlight’ key information, leveraging the power of large language models (including OpenAI’s GPT, Anthropic’s Claude, and Google’s Gemini) to generate more detailed summaries within the Plaud app. A key addition is MagSafe compatibility, allowing users to attach the device to their phone. The Note Pro costs $179 and includes a tiered subscription model for increased transcription minutes and priority feature access. The device's AI is updated frequently to increase its abilities.Key Points
- The Plaud Note Pro has a 16.4-foot audio pickup range, significantly broader than the original Plaud Note.
- A new ‘endurance’ battery mode extends recording time to 50 hours with a reduced audio pickup range.
- The ‘press-to-highlight’ feature utilizes large language models to create detailed summaries from recordings.