ChatlogwebUI: A WeChat Group Chat AI Analysis & Chat History Query System Based on Chatlog 75

ChatlogwebUI is a Chinese chat history query and AI analysis system based on Node.js. It comes with a web interface for searching chat records, viewing contact and group chat information, and supports using AI to analyze chat records.

Main Features

• Chat History Query

• Filter by time range, contacts, or group chats

• Keyword search and content matching

• Supports large-volume queries (unlimited)

• AI Intelligent Analysis

• Preset templates for programming, science learning, reading discussion analysis, and more

• Supports custom prompts for analysis

• Analyze multiple group chats with one click

• Choose from models like DeepSeek and Gemini

• Visualized Reports

• Generate HTML analysis reports

• Includes statistical charts and trend analysis

• Contains keyword cloud and activity analysis

Main Characteristics

• Smart time filtering (today, yesterday, last week, etc.)

• Supports querying contact and group chat records

• WeChat-style chat interface

• Click images to enlarge

• Supports voice and file messages

• Paginated browsing for large amounts of data

• Export chat records with one click

• Responsive design, mobile-friendly

Installation and Startup

Install the chatlog Chat Data Service

1. Go to the chatlog project homepage

2. Download the precompiled version for your system (Windows/macOS)

3. Extract to get the chatlog executable file

4. Double-click or run it in the terminal, and follow the prompts to decrypt WeChat data

5. Select "Enable HTTP Service" and keep the program running (default port 5030)

Start chatlogwebUI

• Linux/Mac: Run the ./start.sh script in the project root directory

• Windows: Run the start.bat script in the project root directory

Usage Steps

1. Open the website: Visit http://localhost:3000

2. Check connection: The top right shows "Connected to Chatlog Service"

3. Load data: Click "Load Contacts" or "Load Group Chats"

4. Set filters: Select time range and chat targets

5. Query records: Click "Query Chat Records"

6. Browse messages: View them in the chat area

7. Export data: Can be exported as a text file

Project Address

https://github.com/Backtthefuture/chatlogwebUI