linyqh/narratoai

利用 AI 大模型,一键解说并剪辑视频

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Summary Information

Updated 25 minutes ago
Added to GitGenius on September 5th, 2026
Created on August 12th, 2024
Open Issues & Pull Requests: 7 (+0)
GitHub issues: Enabled
Number of forks: 1,518
Total Stargazers: 11,006 (+0)
Total Subscribers: 62 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 8.4 days
Mean response time: 48.0 days
90th percentile: 205.5 days
Tracked items: 168

How this project is maintained

Around half of the issues opened in the past year never receive a reply. Only 23% of issues opened in the past year have been closed. Three people close 94% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 2
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 53 days
Stale 30+ days: 1
Stale 90+ days: 0

Recent activity

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

Top labels

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Most active issues this week

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Detailed Description

Narratoai is a video editing tool that uses AI language models to automatically generate narration and edit videos.

The tool addresses the time-consuming process of video narration and editing by leveraging large language models to analyze video content and produce spoken commentary automatically. It integrates with AI APIs and uses MoviePy for video manipulation, allowing users to process videos with a single command rather than manually recording voiceovers and performing edits.

The project suits developers and content creators who need to quickly produce narrated video content without extensive manual editing work. It works best for scenarios where automated narration is acceptable and where the source material can be effectively analyzed by AI models. The tool is designed for users comfortable working with Python and configuring API integrations.

Development activity shows consistent engagement with the codebase through regular commits and active issue tracking. The project maintains responsiveness to user feedback and bug reports. Documentation and examples are kept current to reflect the tool's capabilities and usage patterns.