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15 / 17 · AI & Audio Processing

Voice Notes AI

A Whisper-powered speech-to-text app for fast, searchable voice transcription.

GitHub Source
Voice Notes AI
AI & Audio Processing
Architecture & Overview

A speech-to-text application powered by OpenAI's Whisper model, converting voice recordings into searchable, timestamped transcripts with export options.

The Problem

Voice memos are quick to record but tedious to search, organize, and reference later without manual listening.

The Approach & Implementation

Integrated Whisper AI with client-side audio normalization, streaming chunk processing, automated punctuation, and fast vector keyword indexing.

Measurable Outcome

Delivered near-instant, high-accuracy timestamped transcripts with 1-click export to Markdown, JSON, and PDF.

Technologies & Skills
PythonWhisper AINLPFastAPIReactTypeScript
Key Verification Metrics
Timestamped speech-to-text transcription
OpenAI Whisper model integration
Instant search and multi-format export (JSON/PDF/TXT)
Noise-resilient audio pre-processing
Project Availability
View Repository
Codebase showcase · Live deploy upon request