Foobar2000 AI元数据处理插件

前言

为什么需要这个插件？最近在听韩语 OST 时，歌曲的标题、专辑、作者、所属韩剧等等基本上都是韩语，严重影响听歌体验。找了一圈发现没有插件在做类似的事情，就干脆用 AI 自己写个了。

正文

最近，用AI写了个fb2k的元数据处理插件，用来：

  1. 刮削歌曲元数据（图片暂时还不支持）；
  2. 翻译非中文（日语、韩语等）标题、专辑等字段为中文；
  3. 识别歌曲版本号、曲风；

目前算是一个 MVP 版本吧，简陋但可用。至少满足了我的需要。

下载连接。foo_metadata_enhancer

v1.1.0

  • 支持规范化歌手名称；
  • 支持自定义 ai 提供商，例如 ai 公益站；
  • 一些其他问题修复

后续主要从Github下载插件，地址为 foo_metadata_enhancer

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下面是说明。

foo_metadata_enhancer

License
foobar2000

A foobar2000 plugin that uses AI to automatically analyze, scrape, and enhance music metadata.

Features

  • Stage 1: Metadata Scraping - Automatically fetches metadata from MusicBrainz, Discogs, and AI
  • Stage 2: Enhancement - AI-powered translation, genre classification, and edition identification
  • Multi-source Support - MusicBrainz (authoritative) → Discogs (supplemental) → AI (fallback)
  • Smart Caching - SQLite-based cache to reduce redundant API calls
  • Backup & Rollback - Automatic backup before modifications with rollback support
  • Multiple AI Providers - Supports OpenRouter, Zhipu AI, Google Gemini, and Ollama (local)

Requirements

  • Register and get API KEY from ZHIPU AI (https://bigmodel.cn/console/overview).This is a free ai service for some models now.
  • foobar2000 2.0 or later
  • Windows 10/11
  • Python 3.11+ (required)
  • External Tags (recommended for CUE sheet support) - Download from foobar2000 components
    • Configure under Advanced → Tagging → External Tags:
      • ◉ Use only SQLite (fastest)
      • ☑ Open properties dialog after external tag creation
      • ☑ Enable art support in external tags
      • ☑ Take over all tagging (Optional, but recommended)

Installation

  1. Download the latest release from Releases
  2. Extract the archive
  3. Copy foo_metadata_enhancer.dll and foo_metadata_enhancer folder to your foobar2000 components folder
  4. Restart foobar2000

Quick Start

  1. Select one or more tracks in foobar2000
  2. Right-click → AI Metadata → Stage 1: Scrape Metadata
  3. Review the results and select fields to write
  4. Click Apply Selected
Command Description
Stage 1: Scrape Metadata Fetch basic metadata from MusicBrainz/Discogs/AI
Stage 2: Enhance Metadata AI-powered translation, genre classification, edition identification
Rollback to Initial Restore tracks to original state before AI processing
Cache Statistics View cache hit rate and database size
Clear Cache Clear cached metadata for selected tracks or all

Configuration

Access settings via: File → Preferences → AI Metadata

General Settings

Setting Description
Provider AI provider (OpenRouter, Zhipu, Gemini, Ollama)
API Key Your API key for the selected provider
Model AI model to use
Use Env Var Use environment variable for API key

Python Settings

Setting Description
Python Path Path to Python executable (auto-detected)
Auto-install Packages Automatically install required Python packages.Only checked at the first time, otherwise unchecked.

Cache Settings

Setting Description
Enable Cache Enable/disable caching
Expiration (days) Cache entry expiration time
Max Size (MB) Maximum cache database size
Auto Cleanup Automatically clean expired entries

Advanced Settings

Setting Description Default
Task Queue Batch Size Number of tracks per batch for Stage 1 50
AI Batch Size Number of tracks per batch for Stage 2 10
Per-Track Timeout (sec) Timeout per track 60

Supported Tags

Stage 1 Output

Tag Description
TITLE Track title
ARTIST Artist name
ALBUM Album name
YEAR Release year
TRACKNUMBER Track number
DISCNUMBER Disc number
COMPOSER Composer
LYRICIST Lyricist
LABEL Record label

Stage 2 Output

Tag Description
GENRE AI-classified genre
EDITION AI-identified edition
TITLE_ZH Chinese translation of title
ALBUM_ZH Chinese translation of album
ARTIST_ZH Chinese translation of artist
posted @ 2026-03-27 20:16  ztcheck  阅读(104)  评论(0)    收藏  举报