Furigana Remover Online
Strip furigana, ruby tags, and inline kana hints from Japanese text without losing readability. Built for translators, researchers, and learners who need clean copy in one click.
Clean your text
We support ruby tags, parentheses, brackets, and slash-delimited readings collected from the most common digital Japanese sources.
Generate a private hash link that restores both your text and option choices. Perfect for collaborative review without uploading data to a server.
About this furigana remover
This furigana remover was crafted after reviewing community feedback across translator forums, r/translator threads, and localization Slack groups. Users consistently wanted a faster, lighter tool that still handled the messy markup exported by OCR engines, Kindle highlights, and dictionary apps. Our approach is to keep everything client-side, so your text never touches a server while the interface responds instantly on phones, tablets, or desktop monitors. The detection engine recognises HTML ruby tags, full-width punctuation, and redundant romaji helpers while preserving the underlying kanji context so your copy remains press-ready.
Beyond the cleaning logic, we focused on a Kadence-inspired design system: soft gradients, rounded surfaces, and focus states that stay visible even in dark rooms. The tool respects reduced-motion preferences, accepts keyboard navigation, and announces live changes for assistive technology. Whether you prepare subtitles, newswire translations, or print-ready manuscripts, the workflow here is tuned for professional throughput without the clutter seen in older utilities.
How to use the tool
Paste or drag your Japanese text into the input panel. As soon as the text lands, the remover rebuilds the output in real time: no submit button, no network request. Toggle the detection checkboxes to target ruby markup, bracketed kana, or slash-separated hints; the output refreshes instantly after each change. Use the Copy Cleaned Text button when you need frictionless clipboard access, or Download TXT if you are preparing assets for subtitling and version control.
For collaborative reviews, click Update Permalink to generate a stateful hash URL. The link packs your text and option preferences into the address bar so teammates can open the same cleaned sample offline. If you ever want to revert to the original snippet, hit Clear, paste again, or load the provided sample sentence to test additional patterns. All processing happens locally, so feel confident using confidential manuscripts, exams, or scripts.
Tips for spotless output
Before cleaning long chapters, skim the preview for unusual punctuation that may signal custom notation from your source. Enable only the filters you need: for instance, some editors keep kana in corner brackets for dictionary appendices, so you might uncheck the bracket option to retain them. When working with OCR exports, switch on whitespace normalization to tame half-width spaces and double breaks. Pair this tool with your favourite style checker or glossaries by downloading the TXT file and feeding it into downstream automation pipelines.
Remember that context matters. If you are crafting teaching material that still needs pronunciation aids for beginners, clean the text, duplicate the document, and keep an annotated version separately. For creative writing, try a quick pass with the slash filter disabled; this preserves editorial cues while still removing ruby tags that clutter ebook conversions.
FAQs
What kinds of furigana formats does this tool remove?
We detect the six most common structures: HTML ruby tags, parentheses, Japanese-style brackets, Western brackets, slash-delimited readings, and pipe-separated annotations. The engine also strips redundant <rp> helpers generated by EPUB converters.
Can I keep certain readings while removing others?
Yes. Each pattern has its own toggle, so you can keep romaji hints or bracketed tips while clearing everything else. The output updates the moment you uncheck a rule, making selective cleanup effortless.
Is my text processed offline?
All parsing runs directly in your browser with zero network calls. You can even reload this page offline after the first visit thanks to the single-file architecture.
How can I share cleaned text with a teammate?
Generate a permalink to store the input and option state inside the URL hash. Share it over chat or email and your teammate will see the exact same configuration without uploading sensitive manuscripts.
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