HiddenLine - Content Analysis Tool

An iOS productivity app that analyzes various types of content to reveal hidden assumptions, blind spots, and potential risks that users might overlook.

Overview

HiddenLine processes articles, websites, YouTube videos, documents, images, text, and code to surface deeper implications and help users identify what warrants closer examination. Results are presented in a clear, structured format designed to help users grasp core ideas quickly.

Key Features

Multi-Format Analysis:
- Web articles and links
- YouTube videos
- Document uploads (PDFs, text files)
- Images and screenshots
- Raw text input
- Code snippets and repositories
Intelligent Content Processing:
- Identifies hidden assumptions
- Reveals potential blind spots
- Highlights misleading advice
- Surfaces potential pitfalls
- Uncovers deeper implications
Clear Presentation:
- Structured, easy-to-understand results
- Core ideas highlighted
- Risk areas clearly marked
- Actionable insights
Cross-Platform Support:
- iPhone (iOS 26.0+)
- iPad compatibility
- Mac (Apple Silicon)
- Apple Vision Pro

Technical Highlights

Content Analysis

Multi-format content ingestion (links, documents, video, images, text, code)
AI/ML-powered analysis for identifying patterns and assumptions
Structured output generation
Real-time processing

Platform Features

Universal app design
Modern iOS 26 features
Privacy-focused (no data collection)
Efficient processing pipeline

App Characteristics

App size: 8.5 MB
Requires iOS 26.0 or later
Age rating: 4+
Category: Productivity

Use Cases

Content Verification: Analyze articles and videos for potential biases or hidden assumptions
Code Review: Identify potential issues in code snippets
Research: Uncover blind spots in research materials
Decision Making: Reveal overlooked factors in decision-related content
Learning: Better understand complex topics by surfacing implicit assumptions

What I Learned

Building sophisticated content analysis tools for iOS
Implementing multi-format content processing
Designing clear, actionable output for complex analysis
Creating privacy-first productivity tools
Universal app development for iOS 26+
Balancing power and simplicity in analysis tools

Privacy & Security

The app follows a privacy-first approach:

No data collection
All processing done on-device where possible
User content not shared or stored
Privacy policy available at dheerajn.github.io/Plainly/privacy

Future Enhancements

Additional content source support
Customizable analysis depth
Export and sharing options
Team collaboration features
Browser extension integration