TEXT HUMANIZER: HUMANIZE AI
AI-assisted text transformation product for iOS and macOS that analyses AI-generated writing patterns and rewrites text toward a natural human tone with streaming response handling.
EVIDENCE BRIEF
PROBLEM
AI-generated text often exhibits repetitive sentence structures, rigid cadences, and tell-tale patterns that make content feel unnatural and mechanical to readers.
SOLUTION
Built a cross-platform Flutter application integrating NLP models to analyze syntactical rhythms and rephrase content into natural, human-styled writing with low-latency response streaming.
OUTCOMES
Engineered and launched an AI text transformation app on the App Store with real-time response processing, cloud state synchronization, and cross-platform iOS/macOS support.
- PLATFORMS
- iOS / macOS
- PROCESSING
- STREAMING NLP
CLIENT REMARK
Text Humanizer does exactly what you want it to do without making the process complicated. It takes writing that feels robotic or overly AI-generated and makes it read much more naturally. The experience is quick, simple, and easy to understand.
Babar Khan
Product Owner
descriptionCASE STUDY
CURATED BRIEFText Humanizer: Humanize AI
Project Context
Text Humanizer: Humanize AI is a dedicated text processing application engineered for iOS and macOS that helps writers, students, and professionals refine AI-generated content into fluent, natural prose.
The Challenge
Generative language models frequently produce content with characteristic syntactical patterns, repetitive transitions, and uniform paragraph rhythms. Users require an intuitive tool to analyze tone, identify unnatural phrasing, and generate human-like rewrites with high responsiveness.
Architecture & Implementation
Shahmeer Samdani developed and published the application with focus on performance, interface polish, and robust API orchestration:
- Flutter UI & State Management: Clean, responsive client designed for fast text input, clipboard manipulation, and side-by-side text comparisons.
- NLP API Integration: Orchestrated natural language processing APIs to process syntactic variations and semantic continuity while preserving original intent.
- Response Streaming: Implemented asynchronous streaming to deliver real-time sentence-by-sentence rewrites without UI blocking.
- Backend & Storage: Firebase integration for user configuration, operational metrics, and authentication state.
- App Store Lifecycle: Managed full provisioning, code signing, TestFlight testing, and App Store submission.
Key Highlights
- Published production application on iOS and macOS App Store.
- High-efficiency Flutter architecture with responsive streaming.
- Smooth cross-platform user experience across phone, tablet, and desktop viewports.