Free Japanese Word Counter | Accurate Even Without Spaces
Free Japanese word counter. Japanese has no spaces between words, so an ordinary character counter can't count them correctly. This tool runs morphological analysis right in your browser (nothing is sent to a server) to count words, tokens, and show a top-20 frequency list.
Top 20 Word Frequency
| Rank | Word | Count |
|---|---|---|
| Enter text to see word frequency. | ||
What Is Japanese Word Counting?
In languages like English, where spaces separate words, you can get a word count just by counting spaces. Japanese has no such separator, so the very first step is deciding where one word ends and the next begins. This tool infers those boundaries from the sequence of characters and then reports the word count, the total token count (which also includes punctuation), and the top 20 most frequent words.
The boundary detection uses a statistical method rather than a dictionary, so the whole analysis runs entirely in your browser and nothing you type is ever sent to a server. The trade-off is that text full of technical jargon or brand-new coinages can sometimes get split in odd places. If you need a strict, dictionary-based result, pair this tool with a dedicated morphological analyzer.
How to Count Japanese Words
- Paste in your text Paste or type the Japanese passage you want to measure. Analysis starts automatically as you type.
- Read the two counters "Word Count" excludes punctuation, while "Total Tokens" counts every symbol too. Pick whichever matches what you need to report.
- Check the frequency list The top 20 words appear with how many times each occurred, so you can spot any single word that stands out unusually often.
Tips for getting more out of it
- Unlike English or German, where spaces separate words, Japanese requires automatic detection of word boundaries. This tool estimates those boundaries using a lightweight statistical method called TinySegmenter.
- The Top 20 Word Frequency table is handy for checking whether a blog post or SEO content overuses a particular keyword unnaturally.
- Punctuation and brackets are each counted as one token, so the tool shows "Total Tokens" and "Word Count (excluding punctuation)" as two separate figures.
- Proper nouns, neologisms, and words not in a dictionary can sometimes be split unnaturally depending on context. For use cases that need strict, dictionary-based morphological analysis, consider a dedicated tool such as MeCab.
Where This Word Counter Comes In Handy
Auditing keyword density in an article
The frequency table shows at a glance whether one keyword is repeated far more than natural phrasing would allow, which is a common red flag in SEO writing.
Spotting your own writing habits
Connective words and sentence endings you use out of habit tend to rise straight to the top of the list, giving you concrete places to vary your phrasing during a rewrite.
Estimating translation or outsourcing costs
When a quote is based on word count rather than character count, this tool gives you the Japanese-side word figure you need to compare against a vendor's rate.
Comparing a draft before and after editing
Run the same passage through before and after a rewrite, and the change in word count and frequency distribution gives you a numeric sense of how much tighter the text became.
Japanese Text Analysis Terms
- Word segmentation
- The process of splitting a sentence into individual words. Japanese has no built-in spacing to mark these boundaries, so a machine has to estimate them.
- Morphological analysis
- The broader technique of breaking text into its smallest meaningful units and identifying properties such as part of speech. It is the starting point for most Japanese natural language processing.
- Token
- A single unit produced by the analysis. Punctuation marks and brackets each count as one token, even though they are not words.
- TinySegmenter
- The lightweight, dictionary-free library this tool uses to estimate word boundaries from patterns in the character sequence. It is only tens of kilobytes and runs entirely in the browser.
- Word frequency
- A count of how many times each word appears in the text. It is a basic indicator for spotting repetition or bias in phrasing.
- Character count vs. word count
- Character count simply tallies every character typed, while word count reflects how many distinct words those characters form — two different measures that can tell very different stories about the same passage.
FAQ
Side Note — "Sumomo mo Momo mo Momo no Uchi" and the Difficulty of Word Segmentation
Japanese has no spaces between words (word segmentation, or wakachi-gaki, doesn't exist natively), which is one of the biggest challenges in Japanese natural language processing. A famous example is the tongue-twister "すもももももももものうち" (sumomo mo momo mo momo no uchi, roughly "plums, too, are a kind of peach"). A human can intuitively split it as "sumomo / mo / momo / mo / momo no / uchi," but for a machine with no dictionary, deciding where the boundaries fall is extremely difficult.
TinySegmenter, the library this tool uses, is a lightweight Japanese segmentation library created by Taku Kudo, a researcher also known for his work at Google and for MeCab. It has no dictionary at all — instead, it splits text using a statistically trained model that infers word boundaries from patterns in character-type transitions (hiragana, katakana, kanji, digits, and so on). Despite being only tens of kilobytes in size, it runs quickly right in the browser.
Full-scale morphological analysis engines such as MeCab or Kuromoji require dictionary data in the range of several to tens of megabytes. Because TinySegmenter needs no dictionary at all, this tool can complete the entire analysis in the browser without sending any data to a server. It trades some accuracy for that dictionary-free approach, but it's still plenty practical for getting a general word count on everyday text.