Voice Recognition Tool, Web Application

This project introduces a Voice Recognition platform that allows users to effortlessly convert audio recordings into editable text, eliminating friction in transcription and improving the editing process through smart, intuitive workflows.

From streamlining phrase segmentation to enabling tagging, commenting, and export options, the app provides users with a comprehensive, accessible audio-to-text toolkit — packaged in a clean, user-first design.

Users faced several challenges with existing audio-to-text tools:

Ineffective conversion tools that delivered poor accuracy and low usability.

Difficulty breaking long text blocks into meaningful, editable phrases.

No structure to add tags, comments, or organize content effectively.

Limited tools that forced users to use multiple apps for one simple task.

To enhance transcription workflows, the new platform offers:

A smart, frictionless voice recognition engine for accurate conversion.

Tools to segment text, edit inline, and insert comments or feedback.

A scalable tagging system that helps organize and filter recordings.

Support for adding new recordings anytime, ensuring continued usability.

Together, these features bring text conversion, markup, and editing into a single, consistent system.

I developed a consistent visual language built around clear typography, spacing, and iconography. Color was used to guide attention, status, and feedback.

Icons were thoughtfully designed to act as intuitive cues, reducing onboarding time and aiding quick recognition of features across devices.

The focus was on:

Clean layout and hierarchy

Clear CTAs and functional grouping

Optimized touch and mouse interactions

Real-time performance for voice-to-text conversion

Seamless integration between editing, tagging, and downloading

Efficiency, clarity, and scalability were at the center of every choice.

Voice Input & Recognition – Accurate conversion of real-time or uploaded audio.

Text Segmentation & Editing – Break long text into phrases for contextual clarity.

Tagging System – Users can label key sections for categorization.

Commenting Tools – Highlight key parts and leave contextual notes.

Export to PDF – Clean, shareable export in just a few clicks.

The final product delivers:

A complete and intuitive audio-to-text experience

Optimized workflows for students, professionals, content creators, and more

An interface that supports freedom of editing, review, and sharing

Massive user productivity gains in transcription-heavy tasks

Got a product that bridges voice, text, or interaction? Let’s collaborate to create a smart, beautiful, and functional experience.