Noteable
A local-first, privacy-focused AI notepad that runs entirely on-device, offering instant voice capture, smart summarization, and interactive chat without cloud exposure.
Architecture Map
The Challenge
Strategic Problem
Statement
Modern AI applications typically rely on remote cloud APIs, posing serious data privacy risks and latency issues. The goal was to build a highly responsive workspace where document processing, semantic auto-linking, and voice synthesis happen entirely offline.
The Solution
Engineering
Execution
Developed a local-first architecture leveraging Transformers.js and Web Assembly for client-side LLM inference. Integrated IndexedDB for secure offline storage, and built a custom Web Audio pipeline for real-time transcription and fluid voice capturing.
Outcome Report
A local-first, privacy-focused AI notepad that runs entirely on-device, offering instant voice capture, smart summarization, and interactive chat without cloud exposure.
- Achieved 100% on-device data privacy with zero cloud exposure or external API requests
- Engineered 'Note Buddy', an on-device AI chat assistant that dynamically queries and connects local notes
- Implemented a real-time speech transcription pipeline ('Fluid Capture') converting audio inputs directly into structured notes