hanshuaikang/ai-media2doc

一键将音视频转化为小红书/公众号/知识笔记/思维导图/视频字幕等各种风格的文档。

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Summary Information

Updated 32 minutes ago
Added to GitGenius on September 17th, 2026
Created on April 12th, 2025
Open Issues & Pull Requests: 11 (+0)
GitHub issues: Enabled
Number of forks: 545
Total Stargazers: 4,025 (+1)
Total Subscribers: 22 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 0.8 hours
Mean response time: 2.3 days
90th percentile: 3.3 days
Tracked items: 49

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Issue Activity (beta)

Open issues: 9
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 201 days
Stale 30+ days: 9
Stale 90+ days: 7

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • documentation (1)
  • enhancement (1)
  • help wanted (1)
  • question (1)
  • 已解决 (1)

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Detailed Description

ai-media2doc is a tool that converts audio and video content into formatted documents across multiple styles and platforms.

The tool addresses the problem of manually transforming media content into platform-specific document formats. It accepts audio and video files as input and uses AI processing to automatically generate output in various styles including Xiaohongshu posts, WeChat official account articles, knowledge notes, mind maps, and video subtitles. The conversion happens through a single-click workflow that handles the extraction and reformatting of content from the source media.

Developers should consider this tool if they need to repurpose video or audio content across multiple Chinese social platforms and documentation formats. It suits projects involving content distribution, educational material conversion, or media management where the same source needs to be adapted for different audiences and platforms. The tool integrates with AI services for content processing, making it relevant for teams already using AI-powered workflows.

The project shows active development with regular commits and ongoing feature additions. The codebase maintains a clear separation between frontend implementation in Vue and backend processing logic. Documentation and issue tracking indicate responsiveness to user needs and feature requests.