Professional AI Transcription & Subtitling Platform
An AI-powered platform for fast, accurate transcription and professional subtitle workflows.
Professional AI Transcription & Subtitling Platform
An AI-powered platform for fast, accurate transcription and professional subtitle workflows.
Professional AI Transcription & Subtitling Platform
An AI-powered platform for fast, accurate transcription and professional subtitle workflows.
Professional AI Transcription & Subtitling Platform
An AI-powered platform for fast, accurate transcription and professional subtitle workflows.
Handling hours of media content can slow creative teams. This solution delivers fast, reliable transcription, translation, and subtitle editing, directly integrated with industry editing tools.
Duration
3-4 months
Target audience
Content creators, broadcasters, enterprises
Sector
AI-powered media transcription and post-production
Services
Transcription, translation, subtitle editing, media processing, workflow integrations
Technology
MacOS, iOS, Swift, Angular, Node.js, Python, MongoDB
Handling hours of media content can slow creative teams. This solution delivers fast, reliable transcription, translation, and subtitle editing, directly integrated with industry editing tools.
Duration
3-4 months
Target audience
Content creators, broadcasters, enterprises
Sector
AI-powered media transcription and post-production
Services
Transcription, translation, subtitle editing, media processing, workflow integrations
Technology
MacOS, iOS, Swift, Angular, Node.js, Python, MongoDB
Handling hours of media content can slow creative teams. This solution delivers fast, reliable transcription, translation, and subtitle editing, directly integrated with industry editing tools.
Duration
3-4 months
Target audience
Content creators, broadcasters, enterprises
Sector
AI-powered media transcription and post-production
Services
Transcription, translation, subtitle editing, media processing, workflow integrations
Technology
MacOS, iOS, Swift, Angular, Node.js, Python, MongoDB
Handling hours of media content can slow creative teams. This solution delivers fast, reliable transcription, translation, and subtitle editing, directly integrated with industry editing tools.
Duration
3-4 months
Target audience
Content creators, broadcasters, enterprises
Sector
AI-powered media transcription and post-production
Services
Transcription, translation, subtitle editing, media processing, workflow integrations
Technology
MacOS, iOS, Swift, Angular, Node.js, Python, MongoDB
About
Simon Says is a professional AI-powered transcription and subtitling platform for content creators, broadcasters, and enterprise media teams, enabling large-scale transcription, translation in 100+ languages, subtitle editing, and seamless export to professional editing tools.
Built as a macOS application for professional media workflows, the platform supports high-volume transcription and localisation while maintaining reliability in demanding production environments. I worked as a Senior macOS Developer, focusing on performance-critical workflows, advanced media handling, and deep integration with post-production ecosystems. The platform is also designed to meet professional compliance standards, including GDPR and CCPA, ensuring it can be safely used by enterprise media organisations.
About
Simon Says is a professional AI-powered transcription and subtitling platform for content creators, broadcasters, and enterprise media teams, enabling large-scale transcription, translation in 100+ languages, subtitle editing, and seamless export to professional editing tools.
Built as a macOS application for professional media workflows, the platform supports high-volume transcription and localisation while maintaining reliability in demanding production environments. I worked as a Senior macOS Developer, focusing on performance-critical workflows, advanced media handling, and deep integration with post-production ecosystems. The platform is also designed to meet professional compliance standards, including GDPR and CCPA, ensuring it can be safely used by enterprise media organisations.
About
Simon Says is a professional AI-powered transcription and subtitling platform for content creators, broadcasters, and enterprise media teams, enabling large-scale transcription, translation in 100+ languages, subtitle editing, and seamless export to professional editing tools.
Built as a macOS application for professional media workflows, the platform supports high-volume transcription and localisation while maintaining reliability in demanding production environments. I worked as a Senior macOS Developer, focusing on performance-critical workflows, advanced media handling, and deep integration with post-production ecosystems. The platform is also designed to meet professional compliance standards, including GDPR and CCPA, ensuring it can be safely used by enterprise media organisations.
About
Simon Says is a professional AI-powered transcription and subtitling platform for content creators, broadcasters, and enterprise media teams, enabling large-scale transcription, translation in 100+ languages, subtitle editing, and seamless export to professional editing tools.
Built as a macOS application for professional media workflows, the platform supports high-volume transcription and localisation while maintaining reliability in demanding production environments. I worked as a Senior macOS Developer, focusing on performance-critical workflows, advanced media handling, and deep integration with post-production ecosystems. The platform is also designed to meet professional compliance standards, including GDPR and CCPA, ensuring it can be safely used by enterprise media organisations.
Our approach
Problem Statement
Professional media teams handle extremely large audio and video files that require accurate transcription, translation, subtitle editing, and export into complex post-production pipelines. Traditional tools struggle with performance, long-running tasks, memory limitations, and unreliable integrations with editing software. Additionally, media companies require compliance-grade data handling and seamless workflows that do not interrupt creative production processes.
Solution Architecture
I designed and enhanced a modular macOS architecture built with Swift, separating media processing, AI service communication, subtitle rendering, and export systems into scalable components. The application integrates with backend AI services for transcription and translation while maintaining resilient local processing for file ingestion, editing, and exports. Automation layers using AppleScript and Python enabled direct integration with professional tools like Final Cut Pro and DaVinci Resolve, ensuring smooth post-production workflows. The architecture was optimised for long-running jobs, memory efficiency, and crash resilience.
Our approach
Problem Statement
Professional media teams handle extremely large audio and video files that require accurate transcription, translation, subtitle editing, and export into complex post-production pipelines. Traditional tools struggle with performance, long-running tasks, memory limitations, and unreliable integrations with editing software. Additionally, media companies require compliance-grade data handling and seamless workflows that do not interrupt creative production processes.
Solution Architecture
I designed and enhanced a modular macOS architecture built with Swift, separating media processing, AI service communication, subtitle rendering, and export systems into scalable components. The application integrates with backend AI services for transcription and translation while maintaining resilient local processing for file ingestion, editing, and exports. Automation layers using AppleScript and Python enabled direct integration with professional tools like Final Cut Pro and DaVinci Resolve, ensuring smooth post-production workflows. The architecture was optimised for long-running jobs, memory efficiency, and crash resilience.
Our approach
Problem Statement
Professional media teams handle extremely large audio and video files that require accurate transcription, translation, subtitle editing, and export into complex post-production pipelines. Traditional tools struggle with performance, long-running tasks, memory limitations, and unreliable integrations with editing software. Additionally, media companies require compliance-grade data handling and seamless workflows that do not interrupt creative production processes.
Solution Architecture
I designed and enhanced a modular macOS architecture built with Swift, separating media processing, AI service communication, subtitle rendering, and export systems into scalable components. The application integrates with backend AI services for transcription and translation while maintaining resilient local processing for file ingestion, editing, and exports. Automation layers using AppleScript and Python enabled direct integration with professional tools like Final Cut Pro and DaVinci Resolve, ensuring smooth post-production workflows. The architecture was optimised for long-running jobs, memory efficiency, and crash resilience.
Our approach
Problem Statement
Professional media teams handle extremely large audio and video files that require accurate transcription, translation, subtitle editing, and export into complex post-production pipelines. Traditional tools struggle with performance, long-running tasks, memory limitations, and unreliable integrations with editing software. Additionally, media companies require compliance-grade data handling and seamless workflows that do not interrupt creative production processes.
Solution Architecture
I designed and enhanced a modular macOS architecture built with Swift, separating media processing, AI service communication, subtitle rendering, and export systems into scalable components. The application integrates with backend AI services for transcription and translation while maintaining resilient local processing for file ingestion, editing, and exports. Automation layers using AppleScript and Python enabled direct integration with professional tools like Final Cut Pro and DaVinci Resolve, ensuring smooth post-production workflows. The architecture was optimised for long-running jobs, memory efficiency, and crash resilience.
Feature Engineering
Feature Engineering
Feature Engineering
Feature Engineering
AI-powered transcription & translation (100+ languages)
Large media file ingestion & processing workflows
Advanced subtitle editing with timeline-based controls
Drag-and-drop professional media handling
Speaker identification & metadata management
Flexible export configurations for multiple platforms
Final Cut Pro extensions & workflow integrations
DaVinci Resolve automation via AppleScript & Python
Performance optimisation for long-running background tasks
GDPR & CCPA compliant data handling
AI-powered transcription & translation (100+ languages)
Large media file ingestion & processing workflows
Advanced subtitle editing with timeline-based controls
Drag-and-drop professional media handling
Speaker identification & metadata management
Flexible export configurations for multiple platforms
Final Cut Pro extensions & workflow integrations
DaVinci Resolve automation via AppleScript & Python
Performance optimisation for long-running background tasks
GDPR & CCPA compliant data handling
Implementation & Impact
Technology Used
Platform
MacOS, iOS
IOS
Swift
Frontend
Angular
Backend
Node.js, Python
Data Base
MongoDB
Core Concepts
Transcription, Translation, Subtitles, MediaProcessing
Project Results
Delivered a high-performance macOS application enabling fast, accurate AI transcription and subtitle workflows across 100+ languages. Improved reliability for large media processing and long-running jobs, reduced crashes, and enhanced UX. Successfully integrated with professional tools like Final Cut Pro and DaVinci Resolve, streamlining post-production and boosting productivity for creators and enterprises.
Implementation & Impact
Technology Used
Platform
MacOS, iOS
IOS
Swift
Frontend
Angular
Backend
Node.js, Python
Data Base
MongoDB
Core Concepts
Transcription, Translation, Subtitles, MediaProcessing
Project Results
Delivered a high-performance macOS application enabling fast, accurate AI transcription and subtitle workflows across 100+ languages. Improved reliability for large media processing and long-running jobs, reduced crashes, and enhanced UX. Successfully integrated with professional tools like Final Cut Pro and DaVinci Resolve, streamlining post-production and boosting productivity for creators and enterprises.
Implementation & Impact
Technology Used
Platform
MacOS, iOS
IOS
Swift
Frontend
Angular
Backend
Node.js, Python
Data Base
MongoDB
Core Concepts
Transcription, Translation, Subtitles, MediaProcessing
Project Results
Delivered a high-performance macOS application enabling fast, accurate AI transcription and subtitle workflows across 100+ languages. Improved reliability for large media processing and long-running jobs, reduced crashes, and enhanced UX. Successfully integrated with professional tools like Final Cut Pro and DaVinci Resolve, streamlining post-production and boosting productivity for creators and enterprises.
Implementation & Impact
Technology Used
Platform
MacOS, iOS
IOS
Swift
Frontend
Angular
Backend
Node.js, Python
Data Base
MongoDB
Core Concepts
Transcription, Translation, Subtitles, MediaProcessing
Project Results
Delivered a high-performance macOS application enabling fast, accurate AI transcription and subtitle workflows across 100+ languages. Improved reliability for large media processing and long-running jobs, reduced crashes, and enhanced UX. Successfully integrated with professional tools like Final Cut Pro and DaVinci Resolve, streamlining post-production and boosting productivity for creators and enterprises.
A scalable AI-powered transcription platform designed for professional media workflows.
A scalable AI-powered transcription platform designed for professional media workflows.
A scalable AI-powered transcription platform designed for professional media workflows.
A scalable AI-powered transcription platform designed for professional media workflows.
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