Eliminate Bilibili Ads: The Ultimate AI-Powered Skip Solution

When Technology Meets Viewing Experience: Next-Gen Ad Skipping
Have you ever been immersed in a captivating Bilibili video only to be interrupted by “This video is sponsored by…”? Traditional ad blockers fail against these native content advertisements, while manual skipping risks missing crucial content. Enter Bilibili AI Skip – a revolutionary Chrome extension that uses artificial intelligence to detect and skip in-video promotions, restoring your uninterrupted viewing experience.
Core Functionality Deep Dive
1. Dual-Mode Detection Engine
graph TD
A[Video Playback] --> B{Subtitles Available?}
B -->|Yes| C[Subtitle Analysis]
B -->|No| D[Enable Audio Processing]
C --> E[AI Identifies Ad Segments]
D --> F[Alibaba Cloud Speech-to-Text]
F --> E
E --> G[Auto/Manual Skip]
Subtitle Analysis Priority:
-
Scans CC subtitle text in real-time -
Identifies promotional keywords and contextual patterns -
Automatically expands analysis range for segments exceeding 20 seconds
Audio Fallback Solution:
-
Utilizes Alibaba Cloud’s paraformer-v2 speech recognition -
Supports 8 languages including Chinese dialects (Cantonese), English, Japanese -
Maintains contextual awareness during conversion
Cost Notice: Alibaba Cloud offers 10 free hours monthly (overage: $0.04/hour). Enable “Manual Audio Control” in settings to conserve resources.
2. Flexible Skip Modes
+ Auto-Skip Mode:
Instantaneous ad skipping without interaction
- Manual Mode:
Displays countdown prompt with skip button
Pro Tip: Due to potential AI misidentification, manual mode is recommended. Orange progress bar markers indicate detected ad segments:
3. Collaborative Data Network
-
Queries global ad segment database via Cloudflare API -
User corrections improve community accuracy -
Eliminates redundant analysis, boosting response speed by 300%
Step-by-Step Implementation Guide
Installation Process
-
Visit Chrome Web Store Listing -
Click “Add to Chrome” -
Verify activation at chrome://extensions/
Critical Configuration Settings
Access settings via right-clicking the extension icon:
Setting | Recommended Value | Purpose |
---|---|---|
API Key | Required | Gemini/Grok/GPT-4 credentials |
AI Model | gemini-1.5-flash | Optimal cost-performance |
Auto-Skip | Disabled | Prevents content mis-skipping |
Creator Filter | Name entries | Excludes specific channels |
Pro Configuration: Use “Test API Connection” to validate setup before use
In-Playback Controls
Three status indicators during viewing:
-
Blue: AI Analyzing...
(subtitle processing) -
Yellow: Audio Converting...
(~1 minute) -
Orange: Ad Detected: Click to Skip
(5-second countdown)
Error Correction (v2.3.8+):
-
Click “Correct” icon in player controls -
Adjust sliders to mark actual ad segments -
Submit to synchronize with global database

Technical Architecture Exposed
Ad Detection Algorithm
def detect_ad(content):
# Keyword detection
ad_indicators = ["sponsor", "promotion", "partner", "advertisement"]
# Contextual analysis
if any(indicator in content for indicator in ad_indicators):
# Temporal expansion
start = max(0, current_time - 10)
end = min(video_length, current_time + 30)
# Entity extraction
brand = identify_brand(content)
return AdSegment(start, end, brand)
# ML model fallback
return prediction_model.analyze(content)
Multimodal Processing Workflow
-
Subtitle Extraction: Parses Bilibili’s JSON subtitle data -
Audio Processing: Streams 15-second clips to Alibaba Cloud -
Semantic Analysis: Executes via configured AI model -
Action Module: Executes skip or prompt based on settings
Performance Optimization
-
Local Caching: Stores video data in IndexedDB -
Request Consolidation: Limits analysis to once per video per hour -
Resource Throttling: Reduces frequency during continuous playback
Mobile Integration Solutions
iOS Implementation
[Surge Module Configuration]
1. Download [bilijump.sgmodule](script/bilijump.sgmodule)
2. Import into Surge
3. Enable MitM capability
Adapted from Sparkle project, supports OP/ED skipping in anime and “tap-to-skip” via danmaku on iPads
Performance Validation
Accuracy Benchmarks
Ad Type | Subtitle Accuracy | Audio Accuracy |
---|---|---|
Verbal Ads | 92% | 89% |
Corner Logos | 85% | N/A |
Native Placement | 78% | 82% |
Resource Consumption
-
Memory: <15MB background usage -
CPU: <3% peak during analysis -
Data: ~150KB per audio processing
Troubleshooting Manual
Common Solutions
Q: Inaccurate detections?
-
Enable “AI Re-analysis” (v2.3.9+) -
Switch AI models (Gemini Pro recommended) -
Submit corrections via error reporting
Q: No ad detection?
// Console diagnostic command
chrome.runtime.sendMessage(extensionId, {action: "debug"})
-
Verify returned videoID matches current content -
Confirm channel isn’t in creator filter
Q: Audio processing failure?
-
Check Alibaba Cloud quota -
Verify microphone permissions -
Adjust video quality (impacts audio clarity)
Community-Driven Improvement
User Collaboration System
-
Data Contribution: Anonymous error corrections enhance global database -
Model Refinement: Usage patterns optimize AI prompts -
Open Ecosystem: Script directory open for community contributions
Licensed under MIT:
git clone https://github.com/xxxx/bilibili-ai-skip cd src && npm install
Development Roadmap
Per v2.3.x changelog, upcoming features:
-
Category-based filtering (selective ad skipping) -
Enhanced memory management -
Multi-API load balancing
Expert Usage Recommendations
-
Platform Strategy: Use Surge for anime, extension for live streams -
Cost Management: Set Alibaba Cloud usage alerts -
Precision First: Disable auto-skip for critical viewing -
Update Protocol: Each version improves accuracy 3-5%
Compliance Statement: This tool operates locally without modifying Bilibili’s servers, fully compliant with cybersecurity regulations.
If this tool enhances your experience, star the GitHub repo. Your engagement fuels continued development!