Free Japanese OCR, in your browser
Drop a screenshot, scan or photo of Japanese text and get it back as editable, copyable Markdown. Recognition runs on your own device with the Japanese model pre-selected — nothing is uploaded anywhere.
Drop an image with Japanese text
click to browse, or paste a screenshot with Ctrl+V
Why Japanese needs its own OCR model
A single Japanese sentence routinely mixes three writing systems — kanji for meaning, hiragana for grammar, katakana for loanwords — plus Latin letters and numbers, with no spaces between words. A model trained on English shreds that into noise. This page runs the Tesseract engine with its dedicated Japanese model:
- All three scripts are read together — kanji, hiragana and katakana in one pass, the way real text uses them.
- The artificial spaces are stripped. Raw Tesseract output breaks Japanese into segments with spaces ("会 議 は…"). This converter removes a space only when both neighbours are Japanese characters, so the text reads naturally while real spacing around embedded English words and numbers is kept.
- Everything stays on your device. The Japanese model is downloaded to your browser on first use — it's one of the larger ones, so the first conversion takes noticeably longer than later ones — and your image never leaves your machine.
- The output is Markdown, ready to paste into ChatGPT, Claude, a translation workflow or your notes, with a token count shown before you paste.
A real example
This is actual output from this converter. The input was a PNG with two lines of everyday Japanese — a meeting notice mixing kanji and hiragana:
会議は金曜日の午前十時に始まります。 資料を事前にお読みください。
Every character came back correctly — 会議 and 金曜日 in kanji, the grammar in hiragana, the 。 punctuation — as continuous text with no artificial gaps.
What works, and what doesn't
Horizontal text only. Books, magazines and traditional layouts often set Japanese vertically (tategaki, columns read right to left). This converter reads horizontal text; vertical passages come back scrambled. Screenshots, websites, chat apps, slides and modern documents are almost always horizontal and read well.
Furigana can add noise. The tiny reading hints printed above kanji in some books can be picked up as stray extra characters. Text without furigana converts cleanest.
Handwriting is out of scope. The model is trained on printed type; handwritten Japanese — especially cursive — mostly won't survive. Printed pages, screenshots and scans are what it's for.
Stylised fonts cost accuracy. Manga lettering, game UI fonts and decorative display type vary; plain body text in a standard font is the reliable case.
Japanese OCR questions
Is this Japanese OCR really free?
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Yes — free, unlimited, no account. Recognition runs in your browser rather than on a server, so there is no per-image cost for us to pass on and no reason to meter you.
Is my image uploaded anywhere?
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No. The Japanese recognition model is downloaded to your browser on first use, and your image is processed on your own device. You can watch the network tab while converting: the image never leaves your machine.
Why does the first conversion take so long?
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The Japanese model is one of Tesseract's larger downloads, and it arrives the first time you convert. After that it's cached by your browser and later conversions run in seconds.
Can it read manga or vertical text?
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Vertical (tategaki) text isn't supported — it comes back scrambled. Manga is a mix of vertical text, handwriting-style lettering and stylised fonts, so treat it as unsupported too. Horizontal printed text — screenshots, documents, websites — is the reliable case.
Why is the output continuous text without spaces?
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Because that's how Japanese is written. Tesseract internally splits the text into segments with spaces; this converter strips those between Japanese characters (keeping real spaces around Latin words and numbers), so what you copy reads like the original.
Image to Markdown — all languages
The same OCR reads 35 languages, from Portuguese and German to Tamil, Bengali and Vietnamese. Pick yours from the dropdown.
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