ASMR Toolkit

PyPI - Version

一个现代化的命令行工具，用于音频转换和处理。

特性

高质量音频转换为 Opus 格式
批量处理支持
多线程并行转换
保持目录结构
简单直观的命令行界面

安装

依赖

Python 3.8+（推荐 Python 3.13）
FFmpeg

使用 pip 或 uv 安装

# 使用 pip
pip install asmr-toolkit

# 或使用 uv（推荐）
uv pip install asmr-toolkit

快速开始

转换单个文件

asmr convert music.mp3

这将在同一目录下创建 music.opus.ogg 文件。

批量转换

# 转换目录中的所有音频文件（输出到 music_folder/out/）
asmr convert --recursive music_folder/

# 指定输出目录
asmr convert --output-dir converted/ --recursive music_folder/

# 设置比特率
asmr convert --bitrate 192k music.mp3

# 使用多线程加速处理
asmr convert --jobs 4 --recursive music_folder/

文档

完整文档请访问 docs/README.md。

贡献

欢迎贡献！请查看 docs/CONTRIBUTING.md 了解如何参与项目开发。本项目使用 uv 进行包管理，使用 Ruff 进行代码格式化。

许可证

本项目采用 MIT 许可证 - 详情请参阅 LICENSE 文件。

Metadata

Release files for asmr-toolkit 1.0.10

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for asmr-toolkit 1.0.10
File	Size	Uploaded
asmr_toolkit-1.0.10.tar.gz	58.3 kB	Mar 27, 2025	Details

Built distribution (wheel)

Table of built distributions (wheels) for asmr-toolkit 1.0.10
File	Interpreter	ABI	Platform	Reset
asmr_toolkit-1.0.10-py3-none-any.whl 11.4 kB Mar 27, 2025	Python 3	none	any	Details

Total release size: 69.7 kB

Release files / asmr_toolkit-1.0.10.tar.gz

Download URL	asmr_toolkit-1.0.10.tar.gz
Size	58.3 kB
Tags	Source
SHA-256 checksum How to use checksums	`14c6712e8828b92de2508e05239c0baf6495eaad8213ea0bb84f300481cee6bf`
BLAKE2b-256 checksum How to use checksums	`b16887aa1a4e0b682213937c41a7bc30b39f1b9c8f64c5851cd0bbc8e8319ef9`
Upload date	Mar 27, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.12.9`

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/xiao-cold/asmr-toolkit
Publishing commit: github.com/xiao-cold/asmr-toolkit/tree/0180ef8410a83afc24acb377b7ac7a65b1338ed8

Workflow

Publishing configuration: github.com/xiao-cold/asmr-toolkit/blob/0180ef8410a83afc24acb377b7ac7a65b1338ed8/.github/workflows/publish.yml
Publishing logs: github.com/xiao-cold/asmr-toolkit/actions/runs/14106492160/attempts/1

Artifact

Subject: asmr_toolkit-1.0.10.tar.gz
SHA-256 checksum: 14c6712e8828b92de2508e05239c0baf6495eaad8213ea0bb84f300481cee6bf Verifying attestations

Release files / asmr_toolkit-1.0.10-py3-none-any.whl

Download URL	asmr_toolkit-1.0.10-py3-none-any.whl
Size	11.4 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`fb8f78b098ea8908b609ba241878dc910d82ea9477c682a2f9e8ecfa1df28d80`
BLAKE2b-256 checksum How to use checksums	`1b46bec48a7cc7c079baeb508b913883136f3cedc055bc3bd472a6e8dc21f302`
Upload date	Mar 27, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.12.9`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/xiao-cold/asmr-toolkit
Publishing commit: github.com/xiao-cold/asmr-toolkit/tree/0180ef8410a83afc24acb377b7ac7a65b1338ed8

Workflow

Publishing configuration: github.com/xiao-cold/asmr-toolkit/blob/0180ef8410a83afc24acb377b7ac7a65b1338ed8/.github/workflows/publish.yml
Publishing logs: github.com/xiao-cold/asmr-toolkit/actions/runs/14106492160/attempts/1

Artifact

Subject: asmr_toolkit-1.0.10-py3-none-any.whl
SHA-256 checksum: fb8f78b098ea8908b609ba241878dc910d82ea9477c682a2f9e8ecfa1df28d80 Verifying attestations