nekoparapa/ainiee

一款专注于Ai翻译的工具,一键自动翻译RPG SLG游戏,Epub TXT小说,PDF Word MD文档,Srt Vtt Lrc字幕等等复杂长文本。

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Summary Information

Updated 45 minutes ago
Added to GitGenius on September 10th, 2026
Created on April 14th, 2023
Open Issues & Pull Requests: 25 (+0)
GitHub issues: Enabled
Number of forks: 380
Total Stargazers: 6,250 (+0)
Total Subscribers: 23 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 5.6 hours
Mean response time: 2.3 days
90th percentile: 4.1 days
Tracked items: 563

How this project is maintained

Around half of the issues opened in the past year never receive a reply. Only 14% of issues opened in the past year have been closed. Three people close 79% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 16
New in 7 days: 0
Closed in 7 days: 1
Avg open age: 227 days
Stale 30+ days: 13
Stale 90+ days: 10

Recent activity

Opened in 7 days: 0
Closed in 7 days: 1
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • bug (264)
  • enhancement (182)
  • announce (1)

Detailed Description

ainiee is an AI-powered translation tool that automates the translation of complex long-form content across multiple file formats.

The tool addresses the challenge of translating diverse content types that require format-aware processing. It handles RPG and SLG games, ebooks in Epub and TXT formats, documents including PDF, Word, and Markdown files, and subtitle files in Srt, Vtt, and Lrc formats. Rather than requiring separate tools for each format, ainiee processes these through a unified interface with a single-click workflow, preserving the structure and formatting of each file type while applying AI translation.

The project suits developers and content creators who need to localize games or translate large volumes of written content without manually converting between formats or using multiple specialized tools. It is particularly valuable for those working with Japanese games and light novels, which represent common use cases in the README. The tool's strength lies in handling the structural complexity of different file formats automatically, which would otherwise require custom parsing and reconstruction logic.

Development activity shows consistent engagement with the codebase through regular commits addressing specific functionality and bug fixes. The project maintains active responsiveness to issues and pull requests, indicating ongoing attention to user-reported problems and feature requests. Documentation updates appear alongside feature development, suggesting the maintainers keep guidance aligned with tool capabilities. The commit history demonstrates incremental refinement rather than sporadic bursts, reflecting sustained work on stability and feature completeness.