Qevoxyl Offline Transcription

SOFTWARE 2024 · Founder & Lead Developer

Software · AI

Overview

Privacy-focused offline speech-to-text software powered by Whisper, built for Windows with local processing and a clean, distraction-free interface.

The Challenge

Cloud transcription uploads sensitive audio and fails entirely without connectivity.

Constraints

Sensitive audio must never leave the deviceOffline-first requirementModel size constraintsWindows compatibilityLow-latency start

My Role

Founder & Lead Developer — I owned the technical delivery, architecture decisions, implementation phases and operational handover for this engagement.

Measurable Outcome

100% offline — zero data uploaded, sub-second start latency.

A ARCHITECTURE

                            Audio Input
                ↓                            Local Preprocessing
                ↓                            Whisper Engine
                ↓                            On-device Processing
                ↓                            Results View
                ↓                            Export / Storage
                                    

B SOLUTION

Privacy-focused offline speech-to-text software powered by Whisper, built for Windows with local processing and a clean, distraction-free interface.

Technology

PythonWhisperPyTorchFFmpegCustomTkinter

Security Considerations

Zero data upload
Local-only processing
No account required
Privacy by design
Local storage

C IMPLEMENTATION

Phase 1 — Model selection & benchmarks Phase 2 — Local pipeline Phase 3 — Interface & packaging Phase 4 — Privacy verification Phase 5 — Release & iteration

D RESULTS

100% offline — zero data uploaded, sub-second start latency.

MEASURABLE OUTCOME

2024

DELIVERED

TECHNOLOGIES

E WHAT I LEARNED

Privacy is a design property, not a feature — building offline-first changes every layer of the product, from model selection to the absence of telemetry.

F GALLERY

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