lemony-lrc-parser 0.2.1

A simple LRC parser for Python.

Lemony LRC Parser

柠檬味的 Python LRC 歌词解析器.

Lemon-flavored LRC Parser for Python.

Features

• 解析标准 LRC 歌词文件
• 支持 EnhancedLRC / SPL 的逐字歌词标签
• 支持 metadata 标签
• 支持折叠时间标签
• 支持参照行
• 支持歌词合并
• 完整的类型注解

Installation

推荐使用 uv.

It's recommend to use uv.

uv add lemony-lrc-parser

用 pip 也行.

It's okay to use pip.

pip install lemony-lrc-parser

Usage

Quick Start

import lemony_lrc_parser as llp

lrc_text = """[ti: Never Gonna Give You Up]
[ar: Rick Astley]

[00:18.684]We're no strangers to love
[00:18.684]我们都是情场老手

[00:22.657]You know the rules and so do I
[00:22.657]你和我都知道爱情的规则

[00:27.070]A full commitment's what I'm thinking of
[00:27.070]我在想的正是一份实打实的承诺

[00:31.459]You wouldn't get this from any other guy
[00:31.459]你从其他人那里得不到的
"""

# 解析
lyrics = llp.loads(lrc_text)

# 访问 metadata
print(lyrics.metadata["ti"])  # "Never Gonna Give You Up"
print(lyrics.metadata["ar"])  # "Rick Astley"

# 遍历歌词行
for line in lyrics:
    print(f"{line.start}ms: {line.text}")

# 序列化回 LRC 文本
output = llp.dumps(lyrics)

OOP Interface

Lyrics 类提供面向对象的解析和序列化入口:

from lemony_lrc_parser import Lyrics

lyrics = Lyrics.loads(lrc_text)

# Lyrics 同时是序列容器
print(len(lyrics))    # 行数
print(lyrics[0].text) # 第一行文本
print(lyrics[-1].text)

# 切片访问
first_three = lyrics[0:3]

# 序列化
lrc_output = lyrics.dumps()

# __str__ 等价于 dumps()
print(lyrics)

Word-level Lyrics

解析逐字 (Enhanced LRC / SPL) 歌词:

lrc_text = "[00:01.000]<00:01.000>Never <00:01.500>gonna <00:02.000>give <00:02.500>you <00:03.000>up[00:03.500]"

lyrics = llp.loads(lrc_text)
line = lyrics[0]

for word in line.content:
    print(f"  [{word.start} -> {word.end}] {word.content!r}")
    # [1000 -> 1500] 'Never '
    # [1500 -> 2000] 'gonna '
    # [2000 -> 2500] 'give '
    # [2500 -> 3000] 'you '
    # [3000 -> None] 'up'

# 行级时间: line.start=1000, line.end=3500

Reference Lines (Translation / Transliteration)

LRC 文件中, 紧跟在带时间标签行后面的无标签行, 或与主行的时间戳相同的行, 会被解析为参考行, 常用于存放翻译或音译:

lrc_text = """[00:01.000]Hello
你好
[00:02.000]World
[00:02.000]世界
"""

lyrics = llp.loads(lrc_text)

line = lyrics[0]
print(line.text)                              # "Hello"
print(line.reference_lines[0][0].content)     # "你好"

Combining Lyrics

将两份歌词 (如原文和翻译) 按时间标签合并:

main = llp.loads("[00:01.000]Hello\n[00:02.000]World\n")
translation = llp.loads("[00:01.000]你好\n[00:02.000]世界\n")

# combine 方法: 翻译行挂到同时间点的 reference_lines 中
combined = main.combine(translation)

# 也可以用 + 运算符
combined = main + translation

for line in combined:
    print(line.text)  # 主歌词
    for ref in line.reference_lines:
        ref_text = "".join(w.content for w in ref)
        print(f"  -> {ref_text}")  # 参考行

# other_as_refline_only=False 时, 翻译中找不到对应时间点的行会作为新行保留
combined = main.combine(translation, other_as_refline_only=False)

Implicit Line End

当歌词行没有显式结束时间时, 可以自动用下一行的开始时间填充:

lyrics = llp.loads(lrc_text, fill_implicit_line_end=True)

# lyrics[0].end == lyrics[1].start

Serialization Options

dumps 支持以下选项:

output = lyrics.dumps(
    with_metadata=True,                 # 是否输出 metadata 段
    use_bracket_for_byword_tag=False,   # 逐字标签使用 [...] 还是 <...> (默认) 
    apply_offset_from_metadata=False,   # 是否读取并应用 metadata 中的 offset
)

apply_offset_from_metadata 的行为: 正 offset 会让歌词显示提前 (display_time = tag_time - offset) . 如果应用 offset 会导致时间戳变负, 则只应用安全的部分, 剩余写回 metadata["offset"].

References

LRC Wikipedia

SPL Specification

UwU?

UwU!

License

MIT License