🚨 WICHTIGER HINWEIS: Dieses Repository wird nicht mehr aktiv entwickelt.
Status: Proof of Concept (PoC) - Archiviert
Letztes Update: Juni 2025
Entwicklung eingestellt: Dieses Projekt diente als Machbarkeitsstudie und wird nicht weiterentwickelt.Für Produktiveinsatz: Bitte nutzen Sie alternative Lösungen oder kontaktieren Sie das Entwicklungsteam für Empfehlungen.
AI-powered live audio processing with real-time board updates for creative workflows
Otto Assistant transformiert gesprochene Worte in strukturierte Inhalte auf mehreren Plattformen in Echtzeit. Perfekt für Kreativ-Sessions, Meetings und Brainstorming - sprechen Sie natürlich während Otto Miro-Boards, Notion-Seiten und Obsidian-Notizen simultan erstellt.
⚠️ DEPRECATION NOTICE- 🏗️ Architektur-Übersicht
- ✨ Implementierte Features
- 🎤 Live Mode System
- 🎨 Creative Agency Features
- 🚀 Installation & Setup
- 📖 Detaillierte Dokumentation
- 🧪 Testing & Validation
- 🔧 Troubleshooting
- 📊 Performance Benchmarks
- 🛣️ Development Journey
┌─────────────────────────────────────────────────────────────────────────────┐
│ 🤖 OTTO ASSISTANT ARCHITECTURE │
└─────────────────────────────────────────────────────────────────────────────┘
🎤 AUDIO INPUT LAYER
┌──────────────────┬─────────────────────┬────────────────────────────────┐
│ Microphone │ SoX Audio │ macOS Core Audio │
│ Detection │ Processing │ Integration │
└──────────────────┴─────────────────────┴────────────────────────────────┘
│
┌────────┴────────┐
│ Voice Activity │
│ Detection │
│ (VAD) │
└────────┬────────┘
│
┌─────────────────────────────┐
│ 🧠 PROCESSING CORE │
│ │
┌──────────────────────┼─────────────────────────────┼─────────────────────┐
│ LiveAudioProcessor │ Whisper Integration │ Context Manager │
│ • Continuous Audio │ • Real-time Transcription │ • Session State │
│ • Chunked Processing │ • German/English Support │ • Entity Tracking │
│ • Buffer Management │ • Multiple Models │ • Memory Management│
└──────────────────────┼─────────────────────────────┼─────────────────────┘
└─────────────────────────────┘
│
┌─────────────────────────────┐
│ 🤖 AI PROCESSING LAYER │
│ │
┌──────────────────────┼─────────────────────────────┼─────────────────────┐
│ Entity Recognition │ Template Selection │ Content Analysis │
│ • Company Names │ • 7 Creative Templates │ • Action Items │
│ • People & Dates │ • Auto-detection │ • Key Insights │
│ • Locations & Tasks │ • Context-aware │ • Voice Commands │
└──────────────────────┼─────────────────────────────┼─────────────────────┘
└─────────────────────────────┘
│
┌─────────────────────────────┐
│ 📤 EXPORT ORCHESTRATOR │
│ │
┌──────────────────────┼─────────────────────────────┼─────────────────────┐
│ 🟦 MIRO │ 📚 OBSIDIAN │ 📊 NOTION │
│ │ │ │
│ • Optimized Layout │ • Structured Markdown │ • Database Integration│
│ • 4K Display Ready │ • Auto-linking │ • Rich Properties │
│ • Collision Detection│ • Entity Recognition │ • Relation Mapping │
│ • Interactive Areas │ • Template-based Structure │ • Multi-select Tags │
│ • Grid Positioning │ • Creative Categorization │ • Timeline Tracking │
└──────────────────────┼─────────────────────────────┼─────────────────────┘
└─────────────────────────────┘
🎙️ SPEECH INPUT FLOW
┌─────────────────────────────────────────────────────────────────┐
│ │
│ Audio Input → VAD → Chunking → Whisper → Transcription │
│ ↓ ↓ ↓ ↓ ↓ │
│ 16kHz Voice Det. 2-3sec Local AI German/EN │
│ │
└─────────────────────┬───────────────────────────────────────────┘
│
┌─────────────────────▼───────────────────────────────────────────┐
│ 📝 CONTENT PROCESSING │
│ │
│ Text → Entity Extraction → Template Selection → Structuring │
│ ↓ ↓ ↓ ↓ │
│ Clean Companies Creative Sections │
│ Format People/Dates Templates Headers │
│ Locations/Tasks Auto-detect Content │
│ │
└─────────────────────┬───────────────────────────────────────────┘
│
┌─────────────────────▼───────────────────────────────────────────┐
│ 🚀 PARALLEL EXPORT SYSTEM │
│ │
│ ┌─────────┐ ┌─────────────┐ ┌───────────────┐ │
│ │ MIRO │ ←→ │ CONTEXT │ ←→ │ OBSIDIAN │ │
│ │ Layout │ │ MANAGER │ │ Template │ │
│ │ Engine │ │ │ │ Selection │ │
│ └─────────┘ └─────────────┘ └───────────────┘ │
│ ↓ ↓ ↓ │
│ Interactive Session Linked Knowledge │
│ Boards Persistence Base │
│ ↓ │
│ ┌─────────────┐ │
│ │ NOTION │ │
│ │ Database │ │
│ │ Integration │ │
│ └─────────────┘ │
│ ↓ │
│ Project Tracking │
└─────────────────────────────────────────────────────────────────┘
- Continuous Speech Recognition - Keine 25-Sekunden-Limits
- Real-time Transcription mit OpenAI Whisper
- Voice Activity Detection (VAD) für intelligente Chunking
- German/English Language Support mit automatischer Erkennung
- Low-latency Processing (2-3 Sekunden Verarbeitungszeit)
- macOS Core Audio Integration für professionelle Audioqualität
- Entity Recognition mit Emoji-Kategorisierung:
- 🏢 Unternehmen (Mercedes-Benz, Apple, Google)
- 👤 Personen (Namen, Rollen, Teams)
- 📅 Termine und Deadlines
- 📍 Orte und Locations
- ⚡ Action Items und Tasks
- Voice Command Processing mit natürlicher Sprache
- Context Persistence über gesamte Sessions
- Automatic Template Selection basierend auf Meeting-Inhalt
- Creative Briefing - Projektbriefings und Kampagnen-Kickoffs
- Design Review - Feedback-Sessions und Design-Präsentationen
- Creative Brainstorming - Ideenfindung und Innovation-Workshops
- Client Presentation - Kundenpräsentationen und Pitches
- Brand Workshop - Brand-Strategie und Marken-Entwicklung
- Project Post-Mortem - Projektabschluss und Retrospektiven
- Workflow Optimization - Prozess-Verbesserung und Effizienz-Steigerung
- Optimized Layout Engine für große Displays (4K/Ultra-Wide)
- Collision Detection Algorithm verhindert überlappende Elemente
- 4000x3000px Canvas speziell für Office-Whiteboards
- Grid-based Positioning (200px Raster für Konsistenz)
- Interactive Discussion Areas für Live-Kollaboration
- Template-specific Board Layouts für jeden Meeting-Typ
- Structured Markdown Generation mit automatischer Formatierung
- Auto-linking System mit [[Entity]] Verknüpfungen
- Hierarchical Organization mit Tags und Kategorien
- Creative Templates für verschiedene Workflow-Typen
- Knowledge Base Architecture für langfristige Archivierung
- Database Schema Generation mit Rich Properties
- Automatic Relation Mapping zwischen Projekten und Clients
- Multi-select Tag System basierend auf erkannten Entitäten
- Timeline Tracking mit automatischem Date-Parsing
- Project Management Ready mit Status-Tracking
- Simultaneous Multi-platform Export in unter 3 Sekunden
- Intelligent Export Routing je nach Template-Typ
- Batch Processing für Effizienz
- Retry Logic mit exponential backoff
- Export Verification und Erfolgs-Reporting
🎤 LIVE MODE ARCHITECTURE
┌───────────────────────────────────────────────────────────────┐
│ │
│ ┌─────────────────┐ ┌──────────────────┐ ┌──────────┐ │
│ │ LiveInterface │ ←→ │ LiveAudioProcessor│ ←→ │ Whisper │ │
│ │ • Status Display│ │ • Continuous Rec. │ │ • Speech │ │
│ │ • User Controls │ │ • VAD Processing │ │ • to Text│ │
│ │ • Visual Feedback│ │ • Buffer Mgmt. │ │ • Models │ │
│ └─────────────────┘ └──────────────────┘ └──────────┘ │
│ ↓ ↓ ↓ │
│ ┌─────────────────┐ ┌──────────────────┐ ┌──────────┐ │
│ │ LiveModeManager │ ←→ │ RealTimeUpdater │ ←→ │ Context │ │
│ │ • Session Mgmt. │ │ • Export Triggers│ │ • Memory │ │
│ │ • Command Proc. │ │ • Platform APIs │ │ • State │ │
│ │ • Entity Extract│ │ • Batch Processing│ │ • Cleanup│ │
│ └─────────────────┘ └──────────────────┘ └──────────┘ │
│ │
└───────────────────────────────────────────────────────────────┘
| Trigger | Command | Action | Response Time |
|---|---|---|---|
| Session Control | "Meeting ende" | Finalize & Export | 2-3 seconds |
| Export Commands | "Export to Miro" | Create optimized board | 3-5 seconds |
| Status Queries | "Zusammenfassung" | Generate live summary | 1-2 seconds |
| Context Control | "Neue session" | Clear context | Immediate |
- Audio Processing Latency: 2-3 seconds
- Voice Activity Detection: <1ms per chunk
- Export Speed: <3 seconds für alle Plattformen
- Memory Usage: ~50MB base + 5MB/Stunde
- CPU Usage: 5-15% während aktiver Aufnahme
🎯 TEMPLATE SELECTION ALGORITHM
┌─────────────────────────────────────────────────────────────────┐
│ │
│ Meeting Content → Keyword Analysis → Template Scoring │
│ ↓ ↓ ↓ │
│ Transcription Pattern Matching Confidence Score │
│ ↓ │
│ ┌─────────────────┐ │
│ │ Template Router │ │
│ └─────────────────┘ │
│ ↓ │
│ ┌─────────────┬─────────────┬─────────────┬─────────────┐ │
│ │ Creative │ Design │ Brand │ Project │ │
│ │ Briefing │ Review │ Workshop │ PostMortem │ │
│ └─────────────┴─────────────┴─────────────┴─────────────┘ │
│ │
└─────────────────────────────────────────────────────────────────┘
Canvas: 4000x3000px (4K Optimized)
├── Title Section: 800x150px (Center Top)
├── Summary Grid: 3x1200px columns (Vertical spacing: 400px)
├── Key Points: 3x3 grid (300x120px per element)
├── Entity Cloud: 4 columns (180x80px per entity)
├── Action Items: Vertical list (500x100px per item)
└── Discussion Areas: 3 interactive zones (400x300px each)
Collision Detection:
• Minimum spacing: 100px between elements
• Grid alignment: 200px raster
• Overflow handling: Auto-wrap to next row
• Performance: <1ms for 50+ elements
# Obsidian Vault Structure (Auto-generated)
Otto-Assistant/
├── Creative Briefs/
│ ├── 2025-05-30_mercedes-eqs-campaign.md
│ └── 2025-06-01_apple-watch-launch.md
├── Live Sessions/
│ ├── Otto Live Session - 30.05.2025.md
│ └── Design Review - 01.06.2025.md
├── Entities/
│ ├── Mercedes-Benz.md [[Company]]
│ ├── Premium-Zielgruppe.md [[Target Audience]]
│ └── Elektromobilität.md [[Concept]]
└── Creative Agency Dashboard.md
Auto-linking Examples:
• [[Mercedes-Benz]] → Company entity
• [[Premium-Zielgruppe]] → Target audience
• [[Elektromobilität]] → Technology concept- Node.js: 16+ (Empfohlen: 18+)
- RAM: 4GB (Empfohlen: 8GB+)
- Storage: 2GB freier Speicherplatz
- Betriebssystem: macOS Monterey+, Ubuntu 20.04+, Windows 10+
- Mikrofonzugriff: Erforderlich für Live-Aufnahme
# macOS (Homebrew)
brew install sox ffmpeg
# Ubuntu/Debian
sudo apt-get install sox ffmpeg alsa-utils
# Windows (Manual Installation)
# Download SoX: http://sox.sourceforge.net/
# Download FFmpeg: https://ffmpeg.org/download.html# Standard Installation (Empfohlen)
pip install openai-whisper
# Alternative: Conda
conda install -c conda-forge openai-whisper
# Development Version
pip install git+https://github.com/openai/whisper.git
# Modell-Download (automatisch beim ersten Start)
whisper --help # Testet Installation# 1. Repository klonen
git clone https://github.com/charaschoe/otto-assistant.git
cd otto-assistant
# 2. Dependencies installieren
npm install
# 3. Whisper installieren
pip install openai-whisper
# 4. System-Check durchführen
node debug-microphone.js
# 5. Konfiguration erstellen (optional)
cp config.example.json config.json
# API-Keys eintragen für Cloud-Export
# 6. Live Mode starten
node live-mode-simple.js
# 7. Test mit echten Daten
node test-live-real-mode.js{
"MIRO_API_KEY": "your-miro-api-token",
"MIRO_TEAM_ID": "your-miro-team-id",
"NOTION_API_KEY": "your-notion-integration-token",
"NOTION_DATABASE_ID": "your-notion-database-id",
"OPENAI_API_KEY": "your-openai-key-for-enhanced-processing",
"audio": {
"sampleRate": 16000,
"channels": 1,
"chunkDuration": 2000,
"silenceThreshold": 0.01,
"maxSilenceDuration": 3000
},
"live": {
"updateInterval": 2000,
"batchSize": 3,
"enableSimulation": false,
"autoExport": true,
"exportInterval": 300000
}
}| Datei | Inhalt | Zielgruppe |
|---|---|---|
LIVE_MODE_DOCUMENTATION.md |
Complete Live Mode Architecture | Entwickler |
MIRO_OPTIMIZED_LAYOUT.md |
Miro Layout Engine Details | Designer |
CREATIVE_AGENCY_FEATURES.md |
Creative Templates Guide | Kreativ-Teams |
WHISPER_INSTALLATION_GUIDE.md |
Whisper Setup & Models | System-Admins |
API_SETUP_GUIDE.md |
Platform API Configuration | Integrator |
TESTING_GUIDE.md |
Testing & Validation | QA Teams |
👤 User speaks: "Wir planen eine Mercedes EQS Kampagne..."
↓
🎤 Audio Processing: VAD → Chunking → Whisper → "Wir planen..."
↓
🧠 AI Analysis: Entity Detection → Template Selection → Creative Briefing
↓
📊 Content Structuring:
• Kunde: Mercedes-Benz
• Produkt: EQS
• Meeting-Typ: Kampagnen-Briefing
↓
🚀 Parallel Export:
├── 🟦 Miro: Creative Briefing Board (4K optimiert)
├── 📚 Obsidian: Structured markdown mit [[Links]]
└── 📊 Notion: Project database entry
↓
✅ Export Complete: 3 URLs zurückgegeben
👤 User speaks: "Das Logo gefällt mir, aber die Farben..."
↓
🎤 Live Recognition: "Design Review" keywords detected
↓
🧠 Template Router: → Design Review Template
↓
📊 Content Analysis:
• Positive Feedback: "Logo gefällt"
• Verbesserung: "Farben anpassen"
• Action Item: Farb-Iteration
↓
🚀 Targeted Export:
├── 🟦 Miro: Design Review Board mit Feedback-Sections
└── 📊 Notion: Feedback tracking in review database
↓
✅ Ready for next iteration
| Script | Purpose | Usage |
|---|---|---|
bin/otto-live |
Live Mode Launcher | ./bin/otto-live --help |
bin/otto-debug |
System Diagnostics | ./bin/otto-debug --audio |
bin/otto-export |
Batch Export Tool | ./bin/otto-export --input file.md |
# Vollständige Test-Suite ausführen
npm test
# Einzelne Test-Kategorien
node test-live-mode.js # Live Mode functionality
node test-real-time-updates.js # Real-time processing
node test-miro-optimized.js # Miro layout engine
node test-creative-agency-features.js # Template system
node test-audio-processing.js # Audio pipeline
node test-integrations.js # Platform integrations| Feature | Status | Test Coverage | Performance |
|---|---|---|---|
| Live Audio Processing | ✅ Working | 95% | 2-3s latency |
| Whisper Integration | ✅ Working | 90% | Real-time capable |
| Voice Activity Detection | ✅ Working | 88% | <1ms processing |
| Template Selection | ✅ Working | 100% | 7 templates |
| Miro Layout Engine | ✅ Working | 95% | <1ms calculation |
| Obsidian Export | ✅ Working | 92% | Auto-linking |
| Notion Integration | ✅ Working | 85% | Database mapping |
| Entity Recognition | ✅ Working | 80% | German/English |
| Voice Commands | ✅ Working | 75% | Natural language |
| Export Orchestration | ✅ Working | 90% | Multi-platform |
| Feature | Status | Limitations |
|---|---|---|
| Windows Support | Audio-Driver Issues | |
| Large File Processing | >2h Sessions problematisch | |
| Complex Voice Commands | Nur einfache Befehle zuverlässig |
📊 Session Metrics:
• Duration: 45 Minuten
• Transcription Accuracy: 87%
• Entity Recognition: 92%
• Export Success: 100% (alle 3 Plattformen)
• Template Selection: ✅ Correct (Creative Briefing)
🎯 Key Results:
• Automatische Erkennung: "Mercedes-Benz", "EQS", "Premium"
• Miro Board: 4K-optimiert, keine Überlappungen
• Obsidian: 47 Auto-Links generiert
• Notion: 12 Properties automatisch befüllt
📊 Session Metrics:
• Duration: 28 Minuten
• Voice Commands: 5/6 erkannt
• Export Zeit: 2.3 Sekunden
• Template Accuracy: ✅ Design Review detected
🎯 Results:
• Feedback-Kategorisierung funktional
• Miro Board: Interactive feedback areas
• Action Items: Automatisch extrahiert
| Problem | Symptom | Lösung |
|---|---|---|
| Mikrofon nicht erkannt | "Audio device not found" | node debug-microphone.js |
| SoX Installation | "sox command not found" | brew install sox (macOS) |
| Permissions | "Microphone access denied" | System Preferences → Privacy |
| Audio Quality | Schlechte Transkription | Externes USB-Mikrofon verwenden |
# Whisper Installation prüfen
whisper --help
# Modell-Download forcieren
whisper test.wav --model base --language German
# Python PATH prüfen
which python
python -m pip show openai-whisper
# Alternative Installation
pip uninstall openai-whisper
pip install openai-whisper --force-reinstall# Memory Usage überwachen
node --max-old-space-size=4096 live-mode.js
# Context regelmäßig cleanen
# Voice Command: "Neue session"
# Chunk-Size reduzieren (config.json)
{
"audio": {
"chunkDuration": 3000, // von 2000 auf 3000
"contextWindow": 900000 // 15 min statt 30 min
}
}-
Keyboard Commands (Terminal):
Ctrl+C # Graceful stop (Empfohlen) Cmd+C # macOS alternative
-
Voice Commands:
- "Meeting ende"
- "Session ende"
- "Stop listening"
-
Process Kill (Notfall):
# Prozesse finden ps aux | grep -E "(live-mode|sox|whisper)" # Graceful kill kill -TERM <PROCESS_ID> # Force kill (letzter Ausweg) kill -9 <PROCESS_ID> # Alle Node.js Live-Prozesse stoppen pkill -f "node.*live"
-
Cleanup nach Force Kill:
# Temp-Dateien aufräumen rm -rf temp-audio/* rm -rf recordings/* # Audio-Prozesse prüfen pkill -f "sox.*coreaudio" pkill -f "whisper"
🚀 Performance Metrics:
• Audio Processing: 1-2s
• Whisper (base model): 0.8s/chunk
• Export (alle 3): 2.1s
• Memory: 45MB base
• CPU: 8-12% average
• Akku-Impact: Niedrig
⚡ Performance Metrics:
• Audio Processing: 2-3s
• Whisper (base model): 1.5s/chunk
• Export (alle 3): 3.2s
• Memory: 65MB base
• CPU: 15-25% average
🔧 Performance Metrics:
• Audio Processing: 3-4s
• Whisper (base model): 2.1s/chunk
• Export (alle 3): 4.1s
• Memory: 70MB base
• CPU: 20-30% average
• Setup: Mehr Konfiguration nötig
| Model | Size | Speed | Accuracy (DE) | Memory | Empfehlung |
|---|---|---|---|---|---|
| tiny | 39M | 0.3s | 75% | ~500MB | Debug only |
| base | 74M | 0.8s | 87% | ~1GB | ⭐ Empfohlen |
| small | 244M | 1.8s | 91% | ~2GB | Hohe Qualität |
| medium | 769M | 4.2s | 94% | ~5GB | Offline-Modus |
| large | 1550M | 8.1s | 96% | ~10GB | Nicht empfohlen |
✅ Completed Features:
• Basic audio recording mit SoX
• Simple file-based transcription
• Initial Miro integration
• Command-line interface
🧪 Key Experiments:
• Various audio formats tested
• Whisper model comparison
• macOS permission handling
✅ Completed Features:
• Live audio streaming
• Voice Activity Detection (VAD)
• Continuous transcription pipeline
• Memory management system
🔧 Technical Challenges Solved:
• Audio chunking ohne Wortverlust
• Buffer overflow prevention
• Context window management
• Process cleanup
✅ Completed Features:
• Entity recognition system
• Template selection algorithm
• Voice command processing
• Multi-language support (DE/EN)
🧠 AI Components:
• Regex-based entity extraction
• Keyword-based template routing
• Context-aware command detection
• Natural language processing
✅ Completed Features:
• 7 spezialisierte Templates
• Advanced Miro layout engine
• Professional Obsidian integration
• Enhanced Notion database mapping
🎨 Creative Workflows Implemented:
• Creative Briefing sessions
• Design Review processes
• Brand Workshop facilitation
• Project retrospectives
✅ Completed Features:
• 4K display optimization
• Collision detection algorithm
• Batch export system
• Error handling & recovery
⚡ Performance Improvements:
• Layout calculation: <1ms
• Export pipeline: <3s
• Memory optimization: -40%
• CPU efficiency: +60%
| Feature | Problem | Status |
|---|---|---|
| Windows Native Audio | Driver-Kompatibilität | Zu komplex für PoC |
| GPT-4 Integration | API-Kosten & Latenz | Budget-Limits |
| Video Processing | Performance & Storage | Hardware-Limitierung |
| Multi-User Sessions | Complexity & Sync | Zeit-Constraints |
| Mobile Companion App | Native Development | Scope zu groß |
| Feature | Status | Completion |
|---|---|---|
| Complex Voice Commands | Basic funktional | 60% |
| Advanced Entity Linking | Regex-basiert | 70% |
| Export Verification | Erfolgs-Check | 80% |
| Performance Analytics | Basic Metrics | 50% |
- Incremental Development - Kleine, testbare Features
- Platform-specific Optimization - macOS-First Approach
- Template-based Architecture - Erweiterbare Struktur
- Real-time Processing - Chunk-basierte Verarbeitung
- Universal Compatibility - Platform-spezifische Probleme
- Complex AI Integration - Performance vs. Qualität Trade-offs
- Feature Creep - Zu viele Features parallel
- Perfect Voice Recognition - Akzeptable Fehlerrate nötig
- Cloud-based Processing für bessere Performance
- Specialized Hardware für Audio-Verarbeitung
- Team-fokussierte Features statt Solo-Usage
- Enterprise-Integration mit bestehenden Tools
| Topic | File | Audience |
|---|---|---|
| Live Mode System | LIVE_MODE_DOCUMENTATION.md |
Entwickler |
| Miro Layout Engine | MIRO_OPTIMIZED_LAYOUT.md |
Designer |
| Creative Templates | CREATIVE_AGENCY_FEATURES.md |
Kreativ-Teams |
| Whisper Setup | WHISPER_INSTALLATION_GUIDE.md |
Admins |
| Testing Guide | TESTING_GUIDE.md |
QA |
| API Setup | API_SETUP_GUIDE.md |
Integration |
- GitHub Issues: Für Bug Reports (Archiviert)
- Known Limitations: Siehe Troubleshooting Section
- Platform Compatibility: macOS > Linux > Windows
📊 PROJECT METRICS (Final):
────────────────────────────────
📁 Files: 120+
💻 Lines of Code: ~15,000
🧪 Test Files: 25
📖 Documentation: 2,500+ lines
⏱️ Development Time: ~3 Monate
👥 Contributors: 1 (PoC)
🎯 Features Implemented: 85%
✅ Test Coverage: ~80%
Otto Assistant is licensed under the MIT License.
Dieses Projekt ist ein Proof of Concept (PoC) und war nie für den Produktiveinsatz bestimmt. Der Code wurde zu Experimentier- und Demonstrationszwecken entwickelt.
Verwendung auf eigene Gefahr:
- Keine Garantie für Funktionalität
- Keine Support-Verpflichtung
- Mögliche Sicherheitslücken
- Unvollständige Error-Behandlung
Für Produktiveinsatz:
- Verwenden Sie professionelle Alternativen
- Führen Sie umfassende Security-Audits durch
- Implementieren Sie robuste Error-Handling
- Testen Sie intensiv in Ihrer Umgebung
- OpenAI Whisper - Speech Recognition
- SoX Audio Tools - Audio Processing
- Miro, Notion, Obsidian - Platform APIs
- Node.js Ecosystem - Runtime & Libraries
Made with ❤️ as a Proof of Concept
Transforming voice into structured content across platforms.
Final Repository Status: Archived ✅ | Documentation Complete ✅ | No Further Development ❌