Clean subtitle text for language practice
Remove timestamp lines from a copied subtitle excerpt and keep the original sentences.
00:00:01,000 --> 00:00:03,000 Hello, how are you? → Hello, how are you?
Before you start
An AI coding tool and a short subtitle excerpt you have permission to use.
Quick start
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.
Limits & support
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.
Rebuild it with your agent
Give this to your own AI agent to build your own version. It is someone else’s instruction, so read it before you run it.
With the Disposable skill, ask your agent:
Rebuild this Disposable tool for me: https://disposable.xify.kr/en/tools/subtitle-textGet the skill →
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.
Ask the maker
Questions, bugs and “I tried it” notes go to GitHub issues, where the maker can answer. You need a GitHub account to post.