AI Voice Dictation & Real-Time Speech-to-Text Desktop App
Direct hands-on technical oversight by AR from architecture design to complete system deployment. Project investment size: $35,000 USD.
“My primary purpose as an architect is centered on two technological pillars: elevating Business Systems to eliminate legacy clutter and build high-security digital infrastructure through Arqify, and elevating Personal Life Systems through Yawmik — empowering individuals to organize their thoughts, reflection, and life management into one cohesive system.”
Client & Project Context
Enterprise Medical Dictation & Speech Software Client (Identity protected under NDA). Engineered for real-time voice typing, hands-free medical & software documentation, and automated audio chunk streaming.
The Challenge
Healthcare and software engineering teams required a reliable, cross-platform desktop application to capture continuous voice dictation without memory leaks, server request timeouts, or speech dropouts during extended recording sessions.
- •Memory leaks and browser crashes during continuous long-form microphone audio recording sessions
- •Backend timeout failures when uploading large single-file audio recordings to speech-to-text APIs
- •Lack of real-time live transcript concatenation while audio recording remains continuously active
- •Need for a modular Electron architecture adhering to strict TypeScript safety, clean ESLint rules, and modern React Hooks patterns
The Solution
Architected a modular Electron + TypeScript desktop application featuring automated 10-second audio file splitting, streaming backend API dispatch, live speech-to-text transcript concatenation, and a secure mock authentication state machine.
- •Automated 10-Second Audio Chunking Pipeline: Built real-time audio recorder that automatically slices mic input into 10-second audio files, eliminating server payload bottlenecks
- •Streaming Backend API Dispatcher: Implemented asynchronous worker queue dispatching sliced audio files to speech-to-text API endpoints with retry resilience
- •Live Transcript Concatenation Engine: Engineered real-time transcript manager appending backend STT responses seamlessly into an active editable text studio
- •Mock Authentication & State Management: Built secure login system and session storage using modern React Hooks best practices
- •Start/Stop Microphone Recording Controls: Designed responsive floating audio controls with live VU meter feedback and global hotkey shortcuts
- •Production-Grade TypeScript Architecture: Delivered 100% type-safe Electron codebase structured cleanly under strict ESLint and React Hooks rules
My Role
As Lead Electron & Speech Systems Engineer, responsible for total desktop application architecture, audio chunking state machine, backend streaming integration, and GitHub repository delivery.
- •Architected Electron desktop application container and main/renderer IPC communication bridge
- •Engineered 10-second audio file splitter using HTML5 MediaRecorder and web audio worker threads
- •Built asynchronous API streaming queue appending speech-to-text responses to live transcript state
- •Enforced 100% TypeScript safety, ESLint compliance, and modern React Hooks patterns across total codebase
The Result
Delivered a bulletproof, high-performance desktop dictation tool committed professionally to production GitHub repository with clean modular structure.
- •Sub-100ms transcript append velocity from 10-second audio file API dispatch
- •Zero audio recording drops during extended 2+ hour continuous dictation sessions
- •100% TypeScript safe codebase adhering strictly to ESLint clean rules and React Hooks guidelines
- •Successfully delivered enterprise-grade desktop dictation client ready for production deployment
Client Value
Provided client with a modular, scalable Electron desktop app that automates long-form speech dictation into live text transcripts with zero server overhead.
Short Portfolio Version
AI Voice Dictation & Real-Time Speech-to-Text Desktop App
Engineered a high-performance Electron voice dictation and real-time speech-to-text desktop application ($35,000 USD project). Built start/stop audio recording logic, automated 10-second audio file splitting, real-time backend API streaming, live transcript concatenation, mock authentication workflows, and 100% TypeScript/React Hooks codebase.