SleekRank for a Japanese kanji encyclopedia
Each row in a kanji CSV becomes one WordPress page at /kanji/{slug}/. Map characters to H1, onyomi and kunyomi readings to reading lists, stroke order SVG to an animated diagram, JLPT level and frequency rank to badges, and example compounds to vocabulary grids. A real kanji reference at joyo scale.
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An indexable page per kanji, not one giant character table
Japanese pedagogy centers on the 2,136 joyo kanji a learner needs for newspaper-level reading. Each character has multiple onyomi readings, multiple kunyomi readings, a fixed stroke count, a stroke order sequence, a JLPT level, a frequency rank in modern usage, a radical, and a long list of common compounds. Search demand splits accordingly. Each kanji is its own search query, ranked on its own result page.
SleekRank reads a kanji CSV with one row per character and produces one indexable WordPress page per row. The slug drives the URL at /kanji/{slug}/. The onyomi and kunyomi columns render reading lists. The stroke_order_svg column injects an animated SVG. The jlpt_level and frequency_rank columns drive badges. The compounds column renders a vocabulary grid with each compound linking to a sibling kanji page.
The whole encyclopedia is one base WordPress page. Edit a kunyomi reading for kanji-yama in the sheet and every page that shares that reading picks up the update on the next cache refresh. Add an emerging non-joyo character row, it ships immediately. Retire a duplicate slug, the URL drops out cleanly. No 2,200 WordPress drafts, no per-character maintenance, no engineer redeploys.
Workflow
Launch a kanji encyclopedia in four steps
Compile the kanji CSV
Design the kanji base page
Wire the mappings
Publish and cache
Data in, pages out
One row per kanji, one page per row
| slug | character | stroke_count | jlpt_level | frequency_rank |
|---|---|---|---|---|
| yama | 山 | 3 | N5 | 108 |
| kawa | 川 | 3 | N5 | 292 |
| hi | 日 | 4 | N5 | 1 |
| tsuki | 月 | 4 | N5 | 23 |
| mizu | 水 | 4 | N5 | 85 |
/kanji/{slug}/
- /kanji/yama/
- /kanji/kawa/
- /kanji/hi/
- /kanji/tsuki/
- /kanji/mizu/
Comparison
Embedding Jisho vs SleekRank kanji pages
Embedding Jisho or WaniKani
- All traffic flows to the embedded tool's domain, not yours
- Google ranks Jisho or WaniKani, not your site, for every kanji query
- No control over the reading layout, stroke order, or example compounds
- Cannot bundle editorial content like radical breakdowns or mnemonics per character
- Embeds slow page load and hurt Core Web Vitals on every visit
- Site captures zero long-tail traffic from a query category dominated by exact-character searches
SleekRank
-
One indexable WordPress page per kanji at
/kanji/{slug}/ - Onyomi and kunyomi rendered as reading lists from CSV columns
-
Stroke order animated SVG injected per page from a
stroke_order_svgcolumn - JLPT level and frequency rank badges per character
- Compounds rendered as a grid linking to sibling kanji and vocabulary pages
- Sitemap auto-includes every generated kanji URL
Features
What SleekRank gives you for Japanese kanji one-per-character
Both reading lists per page
Onyomi readings come from Chinese-borrowed contexts, kunyomi from native Japanese. SleekRank renders both as separate labelled lists per character, drawn from the CSV's onyomi and kunyomi columns. Each reading optionally links to a vocabulary page that uses the reading in a compound, building a learning graph automatically.
Animated stroke order SVG
Store the stroke order as inline SVG per row in a stroke_order_svg column. The selector mapping injects the SVG directly into the rendered page, where CSS animation reveals the strokes in sequence. Each generated URL serves only its own SVG, keeping the page light even with the full reading list rendered.
JLPT and frequency badges
The jlpt_level column drives a level badge from N5 to N1, color-coded to match standard pedagogy. The frequency_rank column drives a rank badge with bucketed coloring for common, intermediate, and rare characters. Learners scan both badges to gauge whether to study the character immediately or defer.
Use cases
Where a kanji encyclopedia shines with SleekRank
Japanese learning platforms
Online Japanese schools publish a per-character page as the canonical reference. Course modules link to the relevant kanji URL, students bookmark pages for SRS revision, and the CSV stays the source of truth for every course module that uses the character.
Textbook companion sites
Japanese textbook publishers maintain the kanji appendix as a CSV. Each character gets its own URL with stroke order, readings, compounds, and audio, so search traffic for kanji queries lands on the publisher's site instead of a generic dictionary.
JLPT and Kanken study sites
JLPT prep services publish per-character pages organized by level. Each kanji URL shows the level badge, the frequency rank, and a grid of past test compounds. Students drilling for a level browse the per-level cluster as a dedicated subset of the same CSV.
The bigger picture
Why one URL per kanji beats one searchable widget
Kanji queries are intensely character-specific. A learner searching for the readings of yama is not the same learner searching for kawa or tsuki. One character per URL gives each query its own dedicated landing page, complete with the readings, the stroke order, the JLPT level, the frequency rank, and the structured data Google reads to evaluate page depth.
A single embedded widget sends all the traffic to the widget's host site and earns the embedder zero rankings. The CSV workflow also matches how kanji pedagogy actually evolves. Stroke order conventions get clarified, mnemonics get refined, frequency lists shift as digital corpora grow, and compound vocabulary changes with the news cycle.
Each refinement is a cell edit, and the next cache refresh updates the corresponding kanji page without anyone touching a WordPress draft. The compounds grid pays its own dividend: each compound card links to a sibling kanji page or a vocabulary page, building an internal link graph that mirrors how learners actually traverse the language. Japanese schools, textbook publishers, and JLPT prep services all benefit from the same pattern, with one canonical CSV driving public reference pages, course module links, and SRS deck data simultaneously.
Questions
Common questions about SleekRank for Japanese kanji one-per-character
One row per character. Required columns are slug, character, stroke_count, jlpt_level, and frequency_rank. Useful optional columns include onyomi list, kunyomi list, radical, mnemonic, stroke_order_svg, compounds JSON, English meaning, and related_slugs. SleekRank maps each column individually to its slot on the rendered page.
 Yes. Store inline SVG per row in the stroke_order_svg column, generated from the KanjiVG database. The selector mapping injects the SVG into the rendered page, and CSS keyframe animation reveals strokes in sequence on hover or on a play button click. Each URL serves only its own SVG.
 Store compounds as a JSON list of objects with the compound, the reading, the meaning, and the slugs of the kanji it contains. The list mapping iterates the array and renders one card per compound. Each card links to the relevant vocabulary page, and the constituent kanji link back to their own SleekRank URLs.
 Google indexes pages it considers useful and crawlable. Kanji pages serve real reference value: readings, stroke order, JLPT level, frequency rank, compounds, and mnemonic. Each URL serves its own DefinedTerm schema and competes for its own character query rather than fighting siblings for an anchor on a parent page.
 Yes. Add rows for jinmeiyo and other commonly-used non-joyo characters. The page renders identically, with the jlpt_level column showing none or jouyou-flag set to false. Extended kanji rows benefit from the same internal linking and structured data as the core joyo set, without bloating the base WordPress page.
 Store related_slugs as a JSON list per row, grouping by shared radical, similar shape, or shared reading. The list mapping iterates the array and renders one card per related kanji. The reading and meaning preview on each card lets the learner browse related characters without leaving the URL family.
 No. Each generated URL serves only its own inline SVG, not all 2,200. SVG is text-based and gzip-compressible, so the per-page weight stays well below the size of a single photo. The animation runs on CSS, which adds no JavaScript runtime cost and respects prefers-reduced-motion settings.
 SleekRank writes a DefinedTerm schema block per row, including name, description, inLanguage set to ja, and url. The character itself appears in alternateName for ASCII-search compatibility. The meta mapping inserts the JSON-LD into the head, so Google can interpret the structured data alongside the rendered HTML.
 Pricing
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