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Oyomi - Japanese reader icon

How much does Oyomi - Japanese reader earn?

Android app from Myoland Studio · Tools

ML forecast ★ 4.7 · 172 Free

~169/mo

ML revenue forecast. Calibrated against 77129 apps in this category.

Confidence band
±15%
High — many comparable apps with verified data

At a glance

What the app looks like

Live screenshots from the Play Store, captured by our snapshot worker. Tap any image to enlarge.

Oyomi - Japanese reader screenshot 1 Oyomi - Japanese reader screenshot 2 Oyomi - Japanese reader screenshot 3 Oyomi - Japanese reader screenshot 4

Oyomi - Japanese reader's revenue trajectory

Forecast revenue from snapshot history. Last 1 months.

Where Oyomi - Japanese reader sits in Tools

Revenue distribution of 77129 comparable apps. Oyomi - Japanese reader highlighted.

Oyomi - Japanese reader vs comparable apps

Revenue trajectory side-by-side. Bold = Oyomi - Japanese reader, ghosted = peers.

App spec

Version
1.4.100
Last update
Jul 02, 2026
Launched
Jun 27, 2020
Price
Free
Monetization
Free

What Oyomi - Japanese reader actually does (from store listing)

Oyomi is a Japanese "grammar analyzer" and "learning" App. Part of speech: Use machine learning to automatically break sentences and mark the parts of speech and pronunciation of Chinese characters in sentences and paragraphs to improve your reading efficiency. Semantic analysis: Combining machine learning techniques, the Oyomi can accurately analyze and generate the semantic structure of sentences and paragraphs, sort out the modification relationship between short sentences, and help you…
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Comparable Android apps

The five apps in Tools with the closest revenue to Oyomi - Japanese reader. Click any to see its detail page.

AppRevenueRatingRatings
AMC MUD CALC™ icon AMC MUD CALC™ 169 0
Compass icon Compass 169 0
Bela Blok icon Bela Blok 169 0
HH4TRACK icon HH4TRACK 169 0
Instant Improv! icon Instant Improv! 169 ★ 4.8 29
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How we calculated this

Each forecast combines App Store rating, ratings count, monetisation model, pricing tier, IAP signals and ad-supported flag. The base estimate is then multiplied by a per-category scaling factor learned from apps with founder-verified MRR. Every number on this page comes from public APIs and bumetric's own snapshot history.

Full methodology covers input variables, accuracy bands per category and how we treat apps without comparable anchors. See also the live data on Oyomi - Japanese reader's tracker page for current rating, reviews and snapshot timeline.

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