--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "YOM - Text to Speech OCR Scan" developer_entity: "Akira Ishikawa" bundle_id: "ishikawa-pro.YOM" app_store_id: "6756840796" category: "Education" primary_platform: "ios" primary_monetization: "Freemium" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2026-08-22" report_date: "2026-08-23" last_verified: "2026-08-23T00:00:00.000Z" report_version: "3.6.0" total_reviews: 0 confidence: "low" confidence_score: 0.2 data_age_days: 14 momentum_velocity: "active" intelligence_version: 3 tags: ["education", "freemium", "mobile app", "app review", "app analysis", "students,", "researchers,", "professionals"] canonical_url: "https://marlvel.ai/apps/yom-text-to-speech-ocr-scan" license: "CC-BY-NC 4.0" content_version: "v2" --- # YOM - Text to Speech OCR Scan Intelligence Report ## TL;DR {#tldr} - **Category**: Education · Freemium > **TL;DR:** YOM - Text to Speech OCR Scan is a education app by Akira Ishikawa, available on iOS. > > **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence. > **Key Insight:** YOM - Text to Speech OCR Scan is a education app by Akira Ishikawa. ## Quick Facts | Fact | Value | | :--- | :--- | | **Category** | Education | | **Developer** | Akira Ishikawa | | **Pricing** | Freemium | | **Platforms** | iOS | | **Confidence** | Low (0.2/1.0) | | **Data Age** | 14d | ## Metadata & Market Performance - **Publisher:** Akira Ishikawa - **Category:** Education - **Target Audience:** Students, researchers, and professionals who need to process dense textbooks or technical documents into audio for better retention. - **Platforms:** iOS - **Version Reviewed:** 3.6.0 - **Report Date:** 2026-08-23 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0.2/1.0) - **App Store ID (iOS):** 6756840796 - **Bundle ID:** ishikawa-pro.YOM - **Performance Trend:** Stable - **Data Window:** Analysis based on signals collected up to 2026-08-23 ## Executive Snapshot **What it is:** YOM is an education app that uses OCR and AI-driven text-to-speech to convert physical textbook pages into audio for students and professionals on iOS. **Why users hire it:** It removes the cognitive load of silent reading by pacing the user's eyes with natural narration, helping users finish material they otherwise struggle to retain. ## App DNA (Features & Intent) - **[Differentiator] AI Scan Refine:** Rewrites OCR-scanned text into natural prose by stripping typos, headers, and figure fragments. * *User Intent:* Users seek enhanced value through premium features. - **[Differentiator] Scan & Listen:** Parallel capture and playback allows narration to continue while the user photographs subsequent pages. - **[Differentiator] On-device Translation:** Translates foreign-language text in real-time using local processing without network dependency. * *User Intent:* Users seek enhanced value through premium features. ## Market Position {#market-position} YOM occupies a niche in the Education category by focusing on physical-to-digital conversion for study retention. The recent integration of iOS Shortcuts signals a shift toward power-user workflows to differentiate from general-purpose OCR tools. ## Monetization Strategy - **Model:** Freemium - **Tiers:** Free tier with 10,000 starting tokens, Light plan at $4.99/month for 80,000 tokens, Standard plan at $9.99/month for 300,000 tokens - **Analysis:** Freemium model uses a token-based consumption system for cloud AI features while keeping offline processing unlimited. ## SWOT Analysis {#swot} **Core Strengths:** - On-device translation processing removes latency barriers for international language learners. - Parallel scan-and-listen workflow optimizes study session throughput. **Growth Levers:** - Integrating with academic LMS platforms could unlock institutional distribution. - Expanding to tablet-optimized layouts would improve the experience for textbook readers. ## Recent Changes (v2 → v3) {#recent-changes} The product strategy has shifted from feature expansion to addressing core workflow bottlenecks, specifically targeting manual scanning limitations. The outlook has transitioned from 'improving' to 'stable' due to increased scrutiny of the token-based monetization model. **Overall trend**: Stable **Compared at**: 2026-08-23 ### High-impact changes - **[Added] Expanded Competitive Threats** (swot) - **[Shifted] Prioritization of Bulk-Export** (features) ### Medium-impact changes - **[Shifted] Outlook Trend Adjustment** (positioning) ## What's New - **Latest (v3.6.0, today):** Integrated iOS Shortcuts support for direct text/image processing, automated playback, and queued content chaining. ## App Momentum (Active) {#momentum} - Shipped iOS Shortcuts integration. - Ships frequent stability updates. > **Cadence:** 2 total versions · 1 majors in last 6 months · 0 days since last update · 12 days avg between updates ## The "So What?" (Strategic Takeaway) {#so-what} YOM - Text to Speech OCR Scan is an education app that is free with in-app purchases. > **Bottom Line:** Automating the conversion of physical textbooks into audio addresses a specific cognitive friction point for students, but the token-based monetization model must prove its value against free, general-purpose AI alternatives to retain power users. **Best for:** Students, researchers, and professionals who need to process dense textbooks or technical documents into audio for better retention. ### PM Action Plan (Next Best Moves) - [ ] [INVEST] Ship bulk-export functionality because users report manual page-by-page scanning is the primary bottleneck for long textbooks → increase session utility. ### Outlook: Stable The market for AI-assisted study tools is consolidating around workflow automation, with users favoring tools that minimize manual input. YOM's focus on physical-to-audio conversion provides a defensible niche, but the team must address the token-based friction to maintain growth against free, general-purpose alternatives. - 🟢 The latest release integrates iOS Shortcuts, which reduces workflow friction and signals active investment in power-user productivity features. - ⚪ The token-based pricing model creates a recurring cost barrier that may limit adoption among price-sensitive students compared to free alternatives. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Total Reviews | 0 | | Confidence | Low | | Pricing Model | Freemium | | Platforms | iOS | | Key Features | 3 analyzed | | Trend | Stable | | Outlook | Stable | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **YOM - Text to Speech OCR Scan** (this app) | N/A/5 | N/A | Akira Ishikawa | | [AlgoApp - Flashcards](https://marlvel.ai/apps/algoapp-flashcards) | 4.5/5 | n/a | AlgoApp Inc | | [Elevate - Brain Training Games](https://marlvel.ai/apps/elevate-brain-training-games) | 4.7/5 | n/a | The Mind Company | | [Flashcards Deluxe](https://marlvel.ai/apps/flashcards-deluxe) | 4.5/5 | N/A | OrangeOrApple.com | | [Flash Cards Flashcards Maker](https://marlvel.ai/apps/flash-cards-flashcards-maker) | 4.0/5 | Mixed | Infinite Wave Media, LLC | | [Flashcards maker - AI generate](https://marlvel.ai/apps/flashcards-maker-ai-generate) | 4.1/5 | Mixed | Teleprompter LLC | ## Company Profile - **Developer:** Akira Ishikawa - **Website:** [https://yomlearn.app/en](https://yomlearn.app/en) ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/us/app/yom-text-to-speech-ocr-scan/id6756840796?uo=4) - **Dev Site:** [Official Website](https://yomlearn.app/en) - **Sources:** Developer website content, App store metadata. ## Related Intel Reports - [*AlgoApp - Flashcards*](https://marlvel.ai/apps/algoapp-flashcards) (AlgoApp Inc) · 4.5/5 Rating - [*Elevate - Brain Training Games*](https://marlvel.ai/apps/elevate-brain-training-games) (The Mind Company) · 4.7/5 Rating - [*Flashcards Deluxe*](https://marlvel.ai/apps/flashcards-deluxe) (OrangeOrApple.com) · 4.5/5 Rating - [*Flash Cards Flashcards Maker*](https://marlvel.ai/apps/flash-cards-flashcards-maker) (Infinite Wave Media, LLC) · 4.0/5 Rating - [*Flashcards maker - AI generate*](https://marlvel.ai/apps/flashcards-maker-ai-generate) (Teleprompter LLC) · 4.1/5 Rating - [*Impulse - Brain Training*](https://marlvel.ai/apps/impulse-brain-training) (GMRD Apps Limited) · 4.6/5 Rating - [*Peak - Brain Training*](https://marlvel.ai/apps/peak-brain-training) (Synaptic Labs) · 4.7/5 Rating - [*자주 틀리는 우리말*](https://marlvel.ai/apps/app--424) (DaolSoft, Co., Ltd.) · N/A Rating - [*달공부 - 한 달 공부 다이어리 + 루틴/공부 타이머*](https://marlvel.ai/apps/azlabs-dalstudy) (SuWon Choi) · N/A Rating - [*타요콘 - 타요 아바타 놀이동화*](https://marlvel.ai/apps/com-kigle-project-tayocon) (KIGLE) · 3.1/5 Rating ## Frequently Asked Questions {#faq} ### Is YOM suitable for students with heavy reading loads? Yes, YOM is designed for students and professionals who need to process dense textbooks by converting them into audio, allowing for simultaneous reading and listening to improve retention. ### Does YOM work without an internet connection? YOM supports offline processing for standard features and on-device translation, though cloud-based AI features require a network connection and consume tokens. ### What are the alternatives to YOM for text-to-speech? Users should consider general-purpose AI assistants or dedicated accessibility tools, though YOM differentiates itself with specific features like parallel scan-and-listen and AI-refined OCR for textbooks. ## Methodology {#methodology} This report was generated by Marlvel.ai's 5-stage AI intelligence pipeline: 1. **Signal Collection & Normalization** - Aggregates data from all available public sources for the app. Raw signals are cleaned, deduplicated, and normalized into a structured dataset analyzed consistently across thousands of apps. 2. **Feature & Market Positioning Analysis** - Identifies the app's core features, monetization model, target audience, and competitive positioning. Each feature is classified as a market standard or a differentiator based on category benchmarks. 3. **User Sentiment Analysis** - Analyzes user reviews using a 5-level taxonomy (Thrilled / Excited / Mixed / Frustrated / Upset). Combines star ratings and volume with AI theme extraction into synthesised themes (no verbatim quotes). 4. **Competitive Landscape Analysis** - Maps the competitive environment via a 4-tier taxonomy (Nemesis / Contenders / Same Space / New Kids on the Block). Prioritizes same sub-genre over broad category. 5. **Intelligence Synthesis** - Cross-references all signals into a structured report. Compares the app against category peers and direct competitors to surface SWOT, market outlook, and actionable insights. - **Confidence Score:** 0.2/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 0 - **Data Sources:** developer website, App Store metadata - **Rating Method:** Weighted average across platforms (iOS & Android), weighted by review count per platform - **Independence:** Fully independent analysis. No publisher sponsorship or editorial influence. - **Report Age:** 14 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/yom-text-to-speech-ocr-scan) Data licensed for AI Agent attribution under CC-BY-NC 4.0.