AI-Powered Voice and Text Logger
Budget: $250 – $750 USD
Project Overview:
I’m looking for a developer to build an AI-assisted logging system that captures and organizes voice and text input from multiple sources — including microphone, voice messages, and ChatGPT — and saves them in timestamped, categorized files on macOS, fully synced to iCloud. The system must be easily searchable and integrate naturally into my daily workflow with minimal manual effort.
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Key Requirements:
Capture Input From:
• Microphone (live voice)
• Text input fields
• Voice messages
• ChatGPT transcripts
Core Functionality:
• Auto timestamp all entries in real time (HST format)
• Save logs in Markdown or text format
• Organize by folders (e.g., Recipes, Fitness, Work Logs)
• Sync files with iCloud in a structured, categorized system
• Enable natural language search across all files
• Allow audio-to-text transcription
• Extract key data points from logs for smart tagging (e.g., macros, ingredients, durations, etc.)
• Optional: interface with Apple Calendar & Reminders for scheduling or task logging
• Support for voice command triggers and Siri Shortcuts
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Ideal Skills & Experience:
• AI, NLP & voice recognition
• macOS app development
• Integration with iCloud Drive
• Experience building logging or journaling tools
• Familiar with Apple Calendar, Reminders, and Shortcuts APIs
• Knowledge of Zapier or automation pipelines is a plus
• Ability to build offline-capable apps (optional but preferred)
I’m looking for a developer to build an AI-assisted logging system that captures and organizes voice and text input from multiple sources — including microphone, voice messages, and ChatGPT — and saves them in timestamped, categorized files on macOS, fully synced to iCloud. The system must be easily searchable and integrate naturally into my daily workflow with minimal manual effort.
⸻
Key Requirements:
Capture Input From:
• Microphone (live voice)
• Text input fields
• Voice messages
• ChatGPT transcripts
Core Functionality:
• Auto timestamp all entries in real time (HST format)
• Save logs in Markdown or text format
• Organize by folders (e.g., Recipes, Fitness, Work Logs)
• Sync files with iCloud in a structured, categorized system
• Enable natural language search across all files
• Allow audio-to-text transcription
• Extract key data points from logs for smart tagging (e.g., macros, ingredients, durations, etc.)
• Optional: interface with Apple Calendar & Reminders for scheduling or task logging
• Support for voice command triggers and Siri Shortcuts
⸻
Ideal Skills & Experience:
• AI, NLP & voice recognition
• macOS app development
• Integration with iCloud Drive
• Experience building logging or journaling tools
• Familiar with Apple Calendar, Reminders, and Shortcuts APIs
• Knowledge of Zapier or automation pipelines is a plus
• Ability to build offline-capable apps (optional but preferred)