release: OpenTranscribe v0.1.0 - First Official Release

This is the first official release of OpenTranscribe, marking the transition
from internal development to public availability.

MAJOR CHANGES:
- License changed from MIT to GNU AGPL-3.0 for open source protection
- Version numbering starts at 0.1.0 on path to v1.0.0
- Comprehensive documentation and release materials added

LICENSE UPDATE:
- Migrated to GNU Affero General Public License v3.0 (AGPL-3.0)
- Updated all license references across codebase and documentation
- Added AGPL-3.0 protections for network copyleft
- Ensures modifications to network services remain open source

VERSION SYNCHRONIZATION:
- Set version to 0.1.0 in VERSION file
- Updated pyproject.toml from 2.0.0 to 0.1.0
- Updated frontend/package.json from 0.2.0 to 0.1.0
- All version references now consistent across project

DOCUMENTATION:
- Added comprehensive CHANGELOG.md with complete feature list
- Created RELEASE_NOTES_v0.1.0.md for GitHub release
- Published blog post announcing v0.1.0 release
- Updated all documentation site references

KEY FEATURES HIGHLIGHTED:
✅ Media file upload with drag-and-drop (up to 4GB)
✅ Video file size detection with client-side audio extraction
✅ AI-powered summaries with multi-provider LLM support
✅ AI-powered topic generation for tags and collections
✅ YouTube video and playlist URL processing
✅ Browser microphone recording (localhost/HTTPS) with background operation
✅ Auto speaker labeling and profile generation
✅ Timestamp-based user comments on videos
✅ Cross-video speaker recognition with voice fingerprinting
✅ 70x realtime transcription speed on GPU
✅ OpenSearch 3.3.1 with 9.5x faster vector search
✅ Multi-GPU worker scaling for high-throughput systems
✅ Complete offline/airgapped deployment support

ROADMAP TO v1.0.0:
- Backwards compatibility efforts (no guarantees until v1.0.0)
- Real-time transcription for live streaming
- Enhanced speaker analytics
- Better speaker diarization models
- Google-style text search
- LLM powered RAG Chat with transcripts

🤖 Generated with Claude Code (https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

Author: davidamacey

CHANGELOG.md

@@ -935,7 +935,13 @@ WHISPER_MODEL=base                # Faster processing
 
 ## 📄 License
 
-This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
+This project is licensed under the GNU Affero General Public License v3.0 (AGPL-3.0) - see the [LICENSE](LICENSE) file for details.
+
+The AGPL-3.0 license ensures that:
+- The source code remains open and accessible to everyone
+- Any modifications to the software must be made available to users
+- Network use (SaaS) requires source code availability
+- Protects the open source community and prevents proprietary forks
 
 ## 🙏 Acknowledgments
 

LICENSE

@@ -0,0 +1,221 @@
+# OpenTranscribe v0.1.0 - First Official Release
+
+**Release Date:** November 5, 2025
+**License:** GNU Affero General Public License v3.0 (AGPL-3.0)
+
+## Overview
+
+We're thrilled to announce the first official release of OpenTranscribe! After 6 months of intensive development starting in May 2025, what began as a weekend experiment has evolved into a production-ready, fully-featured AI transcription platform.
+
+OpenTranscribe is a powerful, self-hosted AI-powered transcription and media analysis platform that combines state-of-the-art AI models with a modern web interface to provide high-accuracy transcription, speaker identification, AI summarization, and advanced search capabilities.
+
+## Why AGPL-3.0?
+
+We've chosen the GNU Affero General Public License v3.0 to:
+- **Protect open source** - Ensure the code remains open and accessible to everyone
+- **Prevent proprietary forks** - Require that modifications, especially network services, remain open
+- **Ensure transparency** - Network users have the right to access the source code
+- **Build community** - Foster collaboration and shared improvements
+
+## Key Highlights
+
+### 🎧 Professional-Grade Transcription
+- **70x realtime speed** on GPU with large-v2 model
+- **Word-level timestamps** using WAV2VEC2 alignment
+- **50+ languages** supported with automatic translation
+- **Universal format support** - Audio and video files up to 4GB
+
+### 👥 Advanced Speaker Intelligence
+- **Automatic speaker diarization** using PyAnnote.audio
+- **Cross-video speaker recognition** with voice fingerprinting
+- **AI-powered speaker suggestions** using LLM context analysis
+- **Global speaker profiles** that persist across all recordings
+- **Speaker analytics** with talk time, pace, and interaction patterns
+
+### 🤖 AI-Powered Insights
+- **LLM integration** - Support for OpenAI, Claude, vLLM, Ollama, OpenRouter, and custom providers
+- **BLUF format summaries** - Bottom Line Up Front structured analysis
+- **Custom AI prompts** - Unlimited prompts with flexible JSON schemas
+- **Intelligent sectioning** - Handles transcripts of any length automatically
+- **Local or cloud processing** - Privacy-first local models or powerful cloud AI
+
+### 🔍 Powerful Search & Discovery
+- **Hybrid search** - Keyword + semantic search with OpenSearch 3.3.1
+- **9.5x faster vector search** - Significantly improved performance
+- **25% faster queries** with 75% lower p90 latency
+- **Advanced filtering** - Search by speaker, tags, collections, date, duration
+- **Interactive navigation** - Click-to-seek on transcripts and waveforms
+
+### ⚡ Enterprise Performance
+- **Multi-GPU scaling** - Optional parallel processing (4+ workers per GPU)
+- **Specialized work queues** - GPU, CPU, Download, NLP, and Utility queues
+- **Non-blocking architecture** - Parallel processing saves 45-75s per 3-hour file
+- **Model caching** - Efficient ~2.6GB cache with automatic persistence
+- **Complete offline support** - Full airgapped deployment capability
+
+## Installation
+
+### Quick Install (Recommended)
+```bash
+curl -fsSL https://raw.githubusercontent.com/davidamacey/OpenTranscribe/master/setup-opentranscribe.sh | bash
+cd opentranscribe
+./opentranscribe.sh start
+```
+
+Access at: **http://localhost:5173**
+
+### Docker Hub Images
+Pre-built multi-platform images (AMD64, ARM64):
+- `davidamacey/opentranscribe-backend:v0.1.0`
+- `davidamacey/opentranscribe-frontend:v0.1.0`
+
+### From Source
+```bash
+git clone https://github.com/davidamacey/OpenTranscribe.git
+cd OpenTranscribe
+git checkout v0.1.0
+cp .env.example .env
+# Edit .env with your settings
+./opentr.sh start dev
+```
+
+## What's Included
+
+### Core Features
+✅ **Transcription** - WhisperX with faster-whisper backend
+✅ **Speaker Diarization** - PyAnnote.audio integration with auto-labeling and profile generation
+✅ **Media File Upload** - Direct upload of audio/video files up to 4GB with drag-and-drop
+✅ **Video File Size Detection** - Client-side audio extraction option for large video files
+✅ **YouTube Support** - Direct URL and playlist processing for batch transcription
+✅ **Browser Microphone Recording** - Built-in recording (localhost or HTTPS) with background operation
+✅ **AI-Powered Summaries** - Multi-provider LLM integration with customizable formats
+✅ **AI Topic Generation** - Automatic tag and collection suggestions from transcript content
+✅ **Timestamp Comments** - User annotations anchored to specific video moments
+✅ **Search Engine** - OpenSearch 3.3.1 with hybrid keyword and vector search
+✅ **Collections** - Organize media into themed groups with AI suggestions
+✅ **Analytics** - Speaker metrics and interaction analysis
+✅ **Waveform Visualization** - Interactive audio timeline
+✅ **PWA Support** - Installable progressive web app
+✅ **Dark/Light Mode** - Full theme support
+
+### Infrastructure
+✅ **Docker Compose** - Multi-environment orchestration
+✅ **PostgreSQL** - Relational database with JSONB
+✅ **MinIO** - S3-compatible object storage
+✅ **Redis** - Message broker and caching
+✅ **Celery** - Distributed task processing
+✅ **NGINX** - Production web server
+✅ **Flower** - Task monitoring dashboard
+
+### Security
+✅ **Non-root containers** - Principle of least privilege
+✅ **RBAC** - Role-based access control
+✅ **Encrypted secrets** - Secure API key storage
+✅ **Security scanning** - Trivy and Grype integration
+✅ **Session management** - JWT-based authentication
+
+## System Requirements
+
+### Minimum
+- **CPU:** 4 cores
+- **RAM:** 8GB
+- **Storage:** 50GB (including ~3GB for AI models)
+- **GPU:** Optional (CPU-only mode available)
+
+### Recommended
+- **CPU:** 8+ cores
+- **RAM:** 16GB+
+- **Storage:** 100GB+ SSD
+- **GPU:** NVIDIA GPU with 8GB+ VRAM (RTX 3070 or better)
+
+### Supported Platforms
+- **OS:** Linux, macOS (including Apple Silicon), Windows (via WSL2)
+- **Architectures:** AMD64, ARM64
+- **GPUs:** NVIDIA CUDA, Apple MPS (Metal)
+
+## Performance Benchmarks
+
+| Metric | Performance |
+|--------|-------------|
+| Transcription Speed (GPU) | 70x realtime |
+| Vector Search Improvement | 9.5x faster |
+| Query Performance | 25% faster, 75% lower p90 latency |
+| Multi-GPU Throughput | 4 videos simultaneously (4 workers) |
+| Model Cache Size | ~2.6GB total |
+
+## Documentation
+
+📚 **Complete Documentation:** https://docs.opentranscribe.app
+
+Key resources:
+- [Quick Start Guide](https://docs.opentranscribe.app/docs/getting-started/quick-start)
+- [Installation Guide](https://docs.opentranscribe.app/docs/getting-started/installation)
+- [User Guide](https://docs.opentranscribe.app/docs/user-guide)
+- [Configuration Reference](https://docs.opentranscribe.app/docs/configuration)
+- [Screenshots & Visual Guide](https://docs.opentranscribe.app/docs/screenshots)
+- [FAQ](https://docs.opentranscribe.app/docs/faq)
+- [Troubleshooting](https://docs.opentranscribe.app/docs/troubleshooting)
+
+## Roadmap to v1.0.0
+
+We're committed to delivering a stable, production-ready v1.0.0 release. While we'll strive for backwards compatibility, we cannot guarantee it until v1.0.0. Breaking changes will be clearly announced.
+
+**Planned features for future releases:**
+- Real-time transcription for live streaming
+- Enhanced speaker analytics and visualization
+- Better speaker diarization models
+- Google-style text search
+- LLM powered RAG Chat with transcript text
+- Other refinements along the way!
+
+## Known Issues
+
+No critical issues at release time. See [GitHub Issues](https://github.com/davidamacey/OpenTranscribe/issues) for community-reported items.
+
+## Contributing
+
+We welcome contributions from the community! See our [Contributing Guide](https://github.com/davidamacey/OpenTranscribe/blob/master/docs/CONTRIBUTING.md) for details.
+
+Ways to contribute:
+- 🐛 Report bugs and issues
+- 💡 Suggest new features
+- 🔧 Submit pull requests
+- 📚 Improve documentation
+- 🌍 Translate the interface
+- ⭐ Star the repository
+
+## Support & Community
+
+- **Issues:** [GitHub Issues](https://github.com/davidamacey/OpenTranscribe/issues)
+- **Discussions:** [GitHub Discussions](https://github.com/davidamacey/OpenTranscribe/discussions)
+- **Email:** [Contact via GitHub](https://github.com/davidamacey)
+
+## Acknowledgments
+
+OpenTranscribe builds upon amazing open-source projects:
+- **OpenAI Whisper** - Foundation speech recognition model
+- **WhisperX** - Enhanced alignment and diarization
+- **PyAnnote.audio** - Speaker diarization toolkit
+- **FastAPI** - Modern Python web framework
+- **Svelte** - Reactive frontend framework
+- **PostgreSQL** - Reliable database system
+- **OpenSearch** - Search and analytics engine
+- **Docker** - Containerization platform
+
+Special thanks to the AI community and all contributors who helped make this release possible!
+
+## License
+
+OpenTranscribe is licensed under the GNU Affero General Public License v3.0 (AGPL-3.0).
+
+See [LICENSE](https://github.com/davidamacey/OpenTranscribe/blob/master/LICENSE) for full details.
+
+---
+
+**Built with ❤️ by the OpenTranscribe community**
+
+*OpenTranscribe demonstrates the power of AI-assisted development while maintaining full local control over your data and processing.*
+
+**Download:** [v0.1.0 Release](https://github.com/davidamacey/OpenTranscribe/releases/tag/v0.1.0)
+**Docker:** [Backend](https://hub.docker.com/r/davidamacey/opentranscribe-backend) | [Frontend](https://hub.docker.com/r/davidamacey/opentranscribe-frontend)
+**Docs:** [docs.opentranscribe.app](https://docs.opentranscribe.app)

README.md

@@ -0,0 +1 @@
+v0.1.0