BILIVE: The Ultimate Automated Bilibili Live Streaming Recorder with AI-Powered Features

Introduction to BILIVE: Revolutionizing Live Stream Archiving

BILIVE is an open-source solution designed for automated 24/7 recording and processing of Bilibili live streams. By integrating cutting-edge AI models and optimized workflows, this tool enables creators to effortlessly capture broadcasts, generate subtitles, slice highlights, and publish content—all without manual intervention. Ideal for content archivists, streamers, and community managers, BILIVE addresses the growing demand for efficient live stream management.

Core Technical Capabilities

1. Automated Multi-Channel Recording

• 24/7 Monitoring: Simultaneously track multiple Bilibili live rooms
• Adaptive Quality: Adjusts recording resolution based on network conditions
• Network Resilience: Automatic reconnection and fragment merging

2. Intelligent Content Processing Pipeline

• Danmaku Conversion: Transforms XML bullet comments into ASS subtitles
• AI Subtitle Generation: Supports Whisper (local/API) for multilingual transcription
• Smart Highlight Detection: Identifies key moments using engagement metrics

3. AI-Enhanced Post-Production

• Title Generation: Leverages GLM-4V and Gemini 1.5 Pro for contextual titling
• Cover Art Design: Utilizes 10+ image models (Stable Diffusion 3.5, Tencent Hunyuan)
• Platform Optimization: Auto-tags videos using Bilibili’s trending topics API

System Architecture & Performance

Technical Workflow Diagram

Hardware Compatibility Matrix

Deployment Guide: From Setup to Production

Step 1: Environment Preparation

# Clone repository with submodules
git clone --recurse-submodules https://github.com/timerring/bilive.git
cd bilive

# Install dependencies
python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt

Step 2: Critical Configuration Settings

# bilive.toml
[asr]
method = "deploy"  # Options: deploy/api/none
model_path = "models/small.pt"

[slice]
enable = true
duration = 180  # Seconds per clip
model = "gemini"  # Title generation model

Step 3: Secure Authentication

# Install Bilibili auth toolkit
pip install bilitool
bilitool login --export  # Generates encrypted cookie.json

Operational Best Practices

1. Bandwidth Management

• Prioritize upload bandwidth allocation
• Set reserve_for_fixing = false for storage-constrained systems
• Use upload_line = "bda2" for optimal Bilibili CDN routing

2. Content Moderation

• Implement gift_price_filter to exclude low-value interactions
• Configure keyword blocklists in settings.toml

3. Maintenance Protocols

• Regularly rotate logs in ./logs directory
• Monitor GPU VRAM usage for Whisper deployments
• Update submodules monthly:
  git submodule update --remote

Compliance & Ethical Considerations

1. Explicit Consent: Always obtain streamer authorization
2. Content Guidelines: Adhere to Bilibili’s community standards
3. Rate Limiting: Maintain <3 concurrent recordings per account
4. Data Privacy: Automatically purge sensitive cookies post-authentication

Future Development Roadmap

1. Adaptive bitrate streaming (ABS) implementation
2. Multi-platform distribution via looplive
3. Digital fingerprinting for duplicate detection
4. Kubernetes cluster support

Conclusion: Transforming Content Preservation

BILIVE demonstrates how open-source innovation can democratize live stream archiving. By combining robust engineering with state-of-the-art AI, this tool significantly lowers the barrier for high-quality content preservation. As streaming platforms evolve, tools like BILIVE will play crucial roles in digital heritage conservation—when used responsibly and ethically.

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Technical Documentation |
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