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edge-tts

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图像、视频与音频内容创作与媒体工具 speech-synthesistext-to-speechtts
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NOASSERTION
许可证
Python
语言
2021-05-10
创建时间
2026-10-14
最近更新

项目能做什么

无需安装 Microsoft Edge,即可在 Python 中直接使用其在线文本转语音(TTS)服务。
来源:基于仓库元数据 · 内容以仓库实际 README 为准

使用说明 查看原始 README 原仓库文档

中文使用说明暂未生成。下面保留原仓库 README 摘录,命令与配置均以原文为准。
原始 README 摘录(英文原文,节选前 3000 字符)
# edge-tts

`edge-tts` is a Python module that allows you to use Microsoft Edge's online text-to-speech service from within your Python code or using the provided `edge-tts` or `edge-playback` command.

## Installation

To install it, run the following command:

    $ pip install edge-tts

If you only want to use the `edge-tts` and `edge-playback` commands, it would be better to use `pipx`:

    $ pipx install edge-tts

## Usage

### Basic usage

If you want to use the `edge-tts` command, you can simply run it with the following command:

    $ edge-tts --text "Hello, world!" --write-media hello.mp3 --write-subtitles hello.srt

If you wish to play it back immediately with subtitles, you could use the `edge-playback` command:

    $ edge-playback --text "Hello, world!"

Note that `edge-playback` requires the installation of the [`mpv` command line player](https://mpv.io/), except on Windows.

All `edge-tts` commands work with `edge-playback` with the exception of the `--write-media`, `--write-subtitles` and `--list-voices` options.

### Changing the voice

You can change the voice used by the text-to-speech service by using the `--voice` option. The `--list-voices` option can be used to list all available voices.

    $ edge-tts --list-voices
    Name                               Gender    ContentCategories      VoicePersonalities
    ---------------------------------  --------  ---------------------  --------------------------------------
    af-ZA-AdriNeural                   Female    General                Friendly, Positive
    af-ZA-WillemNeural                 Male      General                Friendly, Positive
    am-ET-AmehaNeural                  Male      General                Friendly, Positive
    am-ET-MekdesNeural                 Female    General                Friendly, Positive
    ar-AE-FatimaNeural                 Female    General                Friendly, Positive
    ar-AE-HamdanNeural                 Male      General                Friendly, Positive
    ar-BH-AliNeural                    Male      General                Friendly, Positive
    ar-BH-LailaNeural                  Female    General                Friendly, Positive
    ar-DZ-AminaNeural                  Female    General                Friendly, Positive
    ar-DZ-IsmaelNeural                 Male      General                Friendly, Positive
    ar-EG-SalmaNeural                  Female    General                Friendly, Positive
    ...

    $ edge-tts --voice ar-EG-SalmaNeural --text "مرحبا كيف حالك؟" --write-media hello_in_arabic.mp3 --write-subtitles hello_in_arabic.srt

### Custom SSML

Support for custom SSML was removed because Microsoft prevents the use of any SSML that could not be generated by Microsoft Edge itself. This means that all the cases where custom SSML would be useful cannot be supported as the service only permits a single `<voice>` tag with a single `<prosody>` tag inside it. Any available customization options that could be used in
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项目深度分析 规则生成(AI 未配置)

综合评分 60.5 分。该项目在“个人可实施性”维度得 60 分,“付费可能性”维度得 40.0 分,差异化空间 82.0 分(评分依据见评分卡)。

将 edge-tts 改造为垂直场景 SaaS

产品构想保留核心能力,针对某一类用户(如某行业团队)做托管版,收取月费。
目标用户有该需求的中小团队 / 独立站长
难度/周期中 · 2~4 周(MVP)
收费模式订阅制(如 ¥29~99/月)
竞争风险需验证付费意愿;注意许可证合规
依据 数据支持的判断:许可证与关键词显示存在商用与付费场景

面向细分需求的二次开发产品

产品构想基于 edge-tts 的核心能力,聚焦一个更窄的场景(如某平台、某行业)做差异化。
目标用户该细分场景用户
难度/周期中 · 2~6 周
收费模式买断制 / 订阅制 / 广告
竞争风险细分需求规模需验证
依据 AI 推测:基于项目主题标签的判断

封装为在线小工具或 API 服务

产品构想把项目最常用的一个功能做成网页小工具,靠流量变现或按量计费。
目标用户搜索引擎带来的长尾用户
难度/周期低 · 1~3 周
收费模式免费引流 + 增值功能 / API 按量计费
竞争风险同质化竞争,需做好 SEO
依据 AI 推测:基于技术栈与部署特征的判断
以上为规则引擎基于仓库公开数据生成的参考结论,包含推测成分,不构成投资或创业承诺;配置 AI 后可获得更深入的分析。
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项目优势与风险

技术成熟度创建于 2021-05-10,近 30 天仍在推送,发布过 15 个 Release
社区活跃Star 12,519 / Fork 1,181 / Issue 10(数据支持,可自行核实)
许可证NOASSERTION
主要风险上游项目方向可能变化;同赛道竞争者较多(见竞品表);热度与需求不完全等价

安装与使用

此项目未提供 Docker 镜像,安装步骤以原仓库 README 为准(涉及依赖安装与环境配置,对新手门槛较高)。