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Clean subtitle text for language practice

Remove timestamp lines from a copied subtitle excerpt and keep the original sentences.

结果示例
00:00:01,000 --> 00:00:03,000
Hello, how are you?
→
Hello, how are you?

准备工作

An AI coding tool and a short subtitle excerpt you have permission to use.

所有设备使用自己的 AIYour AI coding tool may require a paid plan. The resulting local tool has no specified hosting cost.

快速开始

1. Build the formatter with a small, permitted excerpt.
2. Compare every output line against the input.
3. Copy the plain text for your own study notes.

限制与支持

Malformed or unusual subtitle formats may need manual cleanup. Only process text you are allowed to use.

Starter example; questions are welcome, with no ongoing support commitment.

用你的智能体重新制作

把它交给你自己的 AI 智能体,做出你的版本。这是别人写的指令,运行前请先阅读。

有 Disposable 技能时,对智能体说:

帮我重新制作这个 Disposable 工具: https://disposable.xify.kr/zh-Hans/tools/subtitle-text
获取技能 →
Build a standalone local page that converts an SRT subtitle excerpt into plain study text. Let me paste text, preview the transformation and copy the result. Remove only valid SRT sequence-number lines and timestamp lines. Keep dialogue punctuation, speaker labels, line breaks within dialogue and original language. Do not translate, summarize or change words. Display input/output line counts and explain which patterns were removed. Render text safely without interpreting HTML or scripts. Do not access external URLs or store pasted content. Include tests for malformed timestamps, numbered dialogue, empty input and non-English text.

向作者提问

问题、错误和“我试过了”都发到 GitHub issue,由作者回复。发帖需要 GitHub 账号。