Bilibili Video Info Parser

This is a web application designed to parse Bilibili video links, display detailed video information, and provide a formatted text output for easy copying. It also includes automatic subtitle generation using AI-powered speech recognition.

It works on both web frontend and api endpoints.

Setup

Environment Variables

Copy .env.example to .env and configure the required variables:

bash cp .env.example .env

Edit .env and set:

• WHISPER_ASR_URL: URL of your Whisper ASR service for subtitle generation

Whisper ASR API Deploy

Deploy the whisper ASR API in GPU machine.

bash docker run -d --gpus all -p 9000:9000 --name whisper \ -e ASR_MODEL=base \ -e ASR_ENGINE=openai_whisper -v $HOME/.cache:/root/.cache -e "UID=$UID" -e "GID=$GID" \ controlnet/whisper-api

Developing

bash npm install npm run dev

Web Interface

Visit http://localhost:5173 in your browser.

API Endpoints

The application provides the following API endpoints for programmatic access to video information.

1. Get Parsed Video Information (JSON)

• Endpoint: /api/parse
• Method: GET
• Purpose: Retrieves detailed video information as a JSON object.
• Query Parameter:
  • url (required): The Bilibili video URL or text containing the URL (e.g., https://www.bilibili.com/video/BVxxxxxx or Check this out: https://www.bilibili.com/video/BVxxxxxx some text). Remember to URL-encode this parameter if it contains special characters.
• Example Request: GET http://localhost:5173/api/parse?url=BVxxxxx
• Example Success Response (JSON): json { "title": "示例视频标题", "upName": "示例UP主", "upMid": "123456", "upFans": "10.5万", "pic": "https://i0.hdslb.com/bfs/cover/xxxxxxxx.jpg", "views": "100万", "danmaku": "1万", "likes": "5000", "coins": "2000", "favorites": "1000", "shares": "500", "description": "这是一段视频简介...", "watchingTotal": "1000", "watchingWeb": "800", "cleanedUrl": "https://www.bilibili.com/video/BVxxxxx", "cid": "789012", "bvid": "BVxxxxx" }

2. Get Formatted Text for Copying

• Endpoint: /api/copy
• Method: GET
• Purpose: Retrieves a pre-formatted plain text string of the video information, suitable for direct copying.
• Query Parameter:
  • url (required): The Bilibili video URL or text containing the URL. Remember to URL-encode this parameter.
• Example Request: GET http://localhost:5173/api/copy?url=https%3A%2F%2Fwww.bilibili.com%2Fvideo%2FBVxxxxx
• Example Success Response (Plain Text): text 标题: 示例视频标题 UP主: 示例UP主 粉丝: 10.5万 https://i0.hdslb.com/bfs/cover/xxxxxxxx.jpg 👀播放: 100万 💬弹幕: 1万 👍点赞: 5000 💰投币: 2000 📁收藏: 1000 🔗分享: 500 📝简介: 这是一段视频简介... 🏄‍♂️ 总共 1000 人在观看，800 人在网页端观看 https://www.bilibili.com/video/BVxxxxx

3. Generate Subtitles

• Endpoint: /api/subtitles
• Method: POST
• Purpose: Generates AI-powered subtitles from video audio using Whisper ASR.
• Request Body (JSON): json { "bvid": "BVxxxxx", "cid": "xxxxxx" }
• Example Success Response (JSON): json { "success": true, "audioUrl": "https://...", "subtitles": { "text": "Complete transcript text here...", "segments": [ { "start": 0.0, "end": 3.5, "text": "Hello, welcome to this video" } ] } }

Note: This endpoint requires a configured Whisper ASR service URL in the environment variables.