--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "English / French dictionary" developer_entity: "Editions Larousse" bundle_id: "fr.larousse.traducteur.anglais" app_store_id: "338712994" category: "Reference" primary_platform: "ios" primary_monetization: "Paid" offline_capable: true market_region: "US" platforms: "iOS" app_last_updated: "2018-10-02" report_date: "2026-06-21" last_verified: "2026-06-21T21:35:42.060Z" report_version: "2.4.2" total_reviews: 65 overall_rating: 3.02 sentiment: "Frustrated" sentiment_score: 25 confidence: "high" confidence_score: 0.7 top_praise_theme: "Comprehensive dictionary content provides reliable translations for daily language learning and reference needs" top_complaint_theme: "Audio pronunciation feature triggers frequent app crashes across multiple device models" top_request_theme: "Dark mode integration to reduce eye strain and improve battery efficiency during night use" review_sample_size: 65 total_review_count: 49 analyzed_review_count: 49 data_age_days: 10 momentum_velocity: "zombie" intelligence_version: 3 nemesis: "Reverso translate and learn" competitor_count: 6 tags: ["reference", "paid", "frustrated sentiment", "mobile app", "app review", "app analysis", "language", "learners,", "students,"] canonical_url: "https://marlvel.ai/intel-report/reference/fr-larousse-traducteur-anglais" license: "CC-BY-NC 4.0" content_version: "v2" --- # English / French dictionary App Audit ## TL;DR {#tldr} - **Category**: Reference · Paid - **Signal**: Rating 3.02 · Sentiment Frustrated - **Recent focus**: Audio pronunciation feature triggers frequent app crashes across multiple device models (top complaint) · Comprehensive dictionary content provides reliable translations for daily language learning and reference needs (top praise) · Dark mode integration to reduce eye strain and improve battery efficiency during night use (top request) > **TL;DR:** English / French dictionary is a reference app by Editions Larousse, rated 3.02/5 by 65 users, with Frustrated user sentiment (25/100), available on iOS. > > **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence. > **Key Insight:** English / French dictionary faces Frustrated user sentiment (3.02/5 from 65 reviews), with audio pronunciation feature triggers frequent app crashes across multiple device models as the primary user concern. ## Quick Facts | Fact | Value | | :--- | :--- | | **Rating** | 3.02/5 (65 reviews) | | **User Mood** | Frustrated | | **Category** | Reference | | **Developer** | Editions Larousse | | **Pricing** | Paid | | **Platforms** | iOS | | **Confidence** | High (0.7/1.0) | | **Data Age** | 0d | ## Metadata & Market Performance - **Publisher:** Editions Larousse - **Category:** Reference - **Target Audience:** Language learners, students, and travelers requiring a comprehensive, offline-capable English-French reference tool. - **Platforms:** iOS - **Version Audited:** 2.4.2 - **Audit Date:** 2026-06-21 - **Signal Count:** 49 reviews analyzed - **Confidence:** High (0.7/1.0) - **App Store ID (iOS):** 338712994 - **Bundle ID:** fr.larousse.traducteur.anglais - **Performance Trend:** Declining - **Data Window:** Analysis based on signals collected up to 2026-06-21 ## Executive Snapshot **What it is:** English / French Dictionary is a reference app for language learners providing offline word and conjugation lookups on iOS. **Why users hire it:** Users hire this tool for reliable, offline linguistic reference that avoids the data-dependency of modern AI translators. ## App DNA (Features & Intent) - **[Differentiator] Offline Dictionary Access:** Full dictionary database stored locally on the device. * *User Intent:* Users want uninterrupted access without internet dependency. - **[Standard] Recorded Pronunciation:** Audio playback for 450,000 words and phrases. * *User Intent:* Users seek enhanced value through premium features. - **[Standard] Verb Conjugation Tables:** Full conjugation tables for all verbs across all tenses. ## Market Position {#market-position} The app maintains a presence in the paid reference category across 70+ markets, but its failure to break into the top 20 in major regions like the US and France indicates limited discovery velocity. The stagnant update cadence since 2018 suggests the product is in maintenance mode, leaving it vulnerable to AI-native competitors. ## Monetization Strategy - **Model:** Paid - **Tiers:** Single upfront purchase at $4.99 - **Price:** iOS: $4.99 - **Analysis:** The one-time purchase model targets users who prioritize offline reliability over subscription-based models. ## 🔴 User Sentiment (High Confidence: 49 of 49 reviews analyzed) {#user-sentiment} - **Overall Rating:** 3.02/5 - **Platform Split:** iOS 3.0/5 (65 ratings) - **Overall Sentiment:** Frustrated ### Top Praises - **Comprehensive dictionary content provides reliable translations for daily language learning and reference needs** ### Top Complaints (Impact Areas) - **Audio pronunciation feature triggers frequent app crashes across multiple device models** ### Top Requests (What Users Want) - **Dark mode integration to reduce eye strain and improve battery efficiency during night use** ## SWOT Analysis {#swot} **Core Strengths:** - Brand authority in lexicography - Offline-first architecture **Critical Frictions:** - Audio playback crashes - Search failure on reflexive verbs - Lack of modern OS support **Growth Levers:** - Implement dark mode - Add history sorting options **Market Threats:** - AI-native translation quality - Subscription-based competitor release cadences ## Recent Changes (v2 → v3) {#recent-changes} The app has shifted from a static reference tool to a product in decline, with critical technical debt (audio crashes) and search failures eroding its competitive standing against AI-native alternatives. **Overall trend**: Declining **Compared at**: 2026-06-21 ### High-impact changes - **[Declined] Negative Sentiment Emergence** (sentiment) — Sentiment shifted to negative, driven by frequent app crashes during audio playback. - **[Shifted] Maintenance Mode Status** (positioning) — Positioning shifted from a standard reference tool to a product in maintenance mode, vulnerable to AI-native competitors. ### Medium-impact changes - **[Improved] Offline Access Repositioning** (features) — Offline dictionary access moved from standard to differentiator status. - **[Added] New Technical Weaknesses** (swot) — Added search failure on reflexive verbs and audio playback crashes to the weakness profile. ## Rivals Landscape {#rivals} > Competitive positioning identified by AI analysis of app features, category, and market signals. ### English / French dictionary vs Reverso translate and learn — Head to Head - **[Reverso translate and learn](https://marlvel.ai/intel-report/reference/com-softissimo-reversocontext)** by Theo Hoffenberg: Dominates the English/French niche with massive scale and a high-frequency release cadence that keeps the product relevant. - **Moat strength:** High — sustainable advantage over 12 months - **Key differences:** - Provides context-based translation examples that help users understand nuance beyond simple word-for-word dictionary definitions. - Integrates language learning features like flashcards and quizzes to increase daily active user retention. - Maintains a high-velocity release schedule with five updates in the last six months alone. - **Where English / French dictionary wins:** - ✅ Larousse brand authority provides a more traditional, academic-focused dictionary experience for purists. - **Where Reverso translate and learn wins:** - ❌ Offers a comprehensive ecosystem of learning tools that keeps users engaged far longer than a static dictionary. - ❌ Leverages massive user-generated context data to provide more natural, idiomatic translation results than traditional reference books. - **Verdict:** The target app must transition from a static reference tool to an interactive learning platform to compete with Reverso's engagement-first model. ### Contenders (Strong Challengers) - **[DeepL Translate](https://marlvel.ai/intel-report/reference/com-linguee-deeplmobiletranslator)** by DeepL SE [Moat: High]: The industry leader in AI-driven translation quality, posing a significant threat to traditional dictionary publishers. - Utilizes advanced neural machine translation to provide superior, human-like sentence structure compared to traditional dictionary lookups. - Maintains an aggressive innovation pace with 18 releases in the last six months to refine AI accuracy. - **[Naver Papago - AI Translator](https://marlvel.ai/intel-report/reference/com-naver-papago)** by NAVER Corp. [Moat: Medium]: A highly specialized AI translator that excels in real-time voice and image-based translation scenarios. - Features real-time voice conversation mode that allows for seamless bilingual communication in travel scenarios. - Includes image translation capabilities that allow users to translate physical signage or documents instantly via camera. ### Peers (What They Do Better) - **[Merriam-Webster Dictionary](https://marlvel.ai/intel-report/reference/com-m-w-dictionary)** by Merriam-Webster, Inc.: A direct competitor in the high-authority reference space, though focused primarily on English-to-English definitions. - Includes comprehensive word games and daily vocabulary challenges to drive recurring user engagement. - Provides deep etymological data and usage notes that appeal to academic and professional users. - **[dict.cc Dictionary](https://marlvel.ai/intel-report/reference/dict-cc-dictionary)** by dict.cc GmbH: A community-driven dictionary platform that serves as a reliable alternative for specific language pairs. - Relies on a crowdsourced database that allows for rapid inclusion of modern slang and technical terminology. - Offers an offline mode that provides full functionality without requiring an active internet connection. - **[Le Conjugueur](https://marlvel.ai/intel-report/reference/89q4mc5nw4-com-yourcompany-leconjugueur)** by Brewalan Le Dru: A niche utility focused on French verb conjugation, serving as a specialized companion to dictionary apps. - Provides exhaustive conjugation tables for every French verb, solving a specific pain point for language learners. - Operates as a lightweight, single-purpose utility that is faster to navigate than a full dictionary app. ## App Momentum (Zombie) {#momentum} - Fixed hypertext navigation bug. - No major feature releases since 2018. > **Cadence:** 5 total versions · 0 majors in last 6 months · 2758 days since last update ## The "So What?" (Strategic Takeaway) {#so-what} English / French dictionary is a challenged reference app that is a paid app. With a 3.02/5 rating from 65 reviews, it faces significant user friction. > **Bottom Line:** The app provides high-authority content but suffers from critical technical debt, so the PM must prioritize stability fixes over new features to prevent further user migration to AI-native competitors. **Best for:** Language learners, students, and travelers requiring a comprehensive, offline-capable English-French reference tool. ### PM Action Plan (Next Best Moves) - [ ] [PIVOT] [HIGH IMPACT] Rebuild audio playback engine because crashes are the #1 cited reason for negative ratings → improve rating baseline — *Audio crash is the most frequent complaint in sentiment analysis.* _(trade-off: deprioritize Pause the dark mode feature sprint to prioritize core stability.)_ - [ ] [INVEST] [MEDIUM IMPACT] Audit search input validation because reflexive verb failures prevent core dictionary lookups → reduce churn — *Search failure on reflexive verbs is a top-three complaint.* _(trade-off: deprioritize Delay the history sorting feature to focus on search logic.)_ ### Feature Gaps vs Competitors - Real-time voice translation (available in Naver Papago) - Neural machine translation (available in DeepL) ### Outlook: Declining The reference category is consolidating around AI-driven, high-frequency update models that render static dictionaries obsolete. Larousse's current posture is exposed, as the lack of maintenance will continue to erode the user base until the app is no longer viable on current hardware. - 🔴 Persistent audio crashes in the latest version drive negative sentiment, which compounds the rating drag on the app store. - 🔴 Lack of compatibility with modern OS display standards signals that the app is in maintenance mode, discouraging new user acquisition. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 3.02/5 | | Total Reviews | 65 | | Sentiment | Frustrated (25/100) | | Confidence | High | | Pricing Model | Paid | | Platforms | iOS | | Key Features | 3 analyzed | | Trend | Declining | | Outlook | Declining | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **English / French dictionary** (this app) | 3.02/5 | Frustrated | Editions Larousse | | [Reverso translate and learn](https://marlvel.ai/intel-report/reference/com-softissimo-reversocontext) | 4.7/5 | Mixed | Theo Hoffenberg | | [Naver Papago - AI Translator](https://marlvel.ai/intel-report/reference/com-naver-papago) | 4.7/5 | Mixed | NAVER Corp. | | [DeepL Translate](https://marlvel.ai/intel-report/reference/com-linguee-deeplmobiletranslator) | 4.8/5 | Mixed | DeepL SE | | [Merriam-Webster Dictionary](https://marlvel.ai/intel-report/reference/com-m-w-dictionary) | 4.8/5 | Thrilled | Merriam-Webster, Inc. | | [Le Conjugueur](https://marlvel.ai/intel-report/reference/89q4mc5nw4-com-yourcompany-leconjugueur) | 4.6/5 | N/A | Brewalan Le Dru | ## Company Profile - **Developer:** Editions Larousse - **Website:** [https://www.larousse.fr/infos/iphone](https://www.larousse.fr/infos/iphone) - **Social:** [Instagram](https://www.instagram.com/editionslarousse) · [Facebook](https://www.facebook.com/larousse.fr) · [X/Twitter](https://twitter.com/larousse_fr) ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/us/app/english-french-dictionary/id338712994?uo=2) - **Dev Site:** [Official Website](https://www.larousse.fr/infos/iphone) - **Sources:** Developer website content, About us / company information, App store metadata, User reviews. ## Related Intel Reports - [*Reverso translate and learn*](https://marlvel.ai/intel-report/reference/com-softissimo-reversocontext) (Theo Hoffenberg) — 4.7/5 Rating | Mixed Sentiment - [*Naver Papago - AI Translator*](https://marlvel.ai/intel-report/reference/com-naver-papago) (NAVER Corp.) — 4.7/5 Rating | Mixed Sentiment - [*DeepL Translate*](https://marlvel.ai/intel-report/reference/com-linguee-deeplmobiletranslator) (DeepL SE) — 4.8/5 Rating | Mixed Sentiment - [*Merriam-Webster Dictionary*](https://marlvel.ai/intel-report/reference/com-m-w-dictionary) (Merriam-Webster, Inc.) — 4.8/5 Rating | Excellent Sentiment - [*Le Conjugueur*](https://marlvel.ai/intel-report/reference/89q4mc5nw4-com-yourcompany-leconjugueur) (Brewalan Le Dru) — 4.6/5 Rating | N/A Sentiment - [*dict.cc Dictionary*](https://marlvel.ai/intel-report/reference/dict-cc-dictionary) (dict.cc GmbH) — 4.6/5 Rating | N/A Sentiment - [*Hallow: Prayer & Meditation*](https://marlvel.ai/intel-report/reference/hallow-prayer-meditation) (Hallow, Inc.) — 4.7/5 Rating | Negative Sentiment - [*Islamic World - Ramadan 2026*](https://marlvel.ai/intel-report/reference/islamic-world-ramadan-2026) (AppAspect Technologies Pvt. Ltd.) — 4.7/5 Rating | N/A Sentiment - [*Phonecard Identifier*](https://marlvel.ai/intel-report/reference/phonecard-identifier) (Amir Wald) — 5.0/5 Rating | N/A Sentiment - [*Antique Appraisal: ID Anything*](https://marlvel.ai/intel-report/reference/antique-appraisal-id-anything) (Dung Vu) — 5.0/5 Rating | N/A Sentiment ## 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 and evidence quoting. 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:** 0.7/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 49 - **Data Sources:** user reviews, developer website, company about page, 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:** 0 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/intel-report/reference/fr-larousse-traducteur-anglais) Data licensed for AI Agent attribution under CC-BY-NC 4.0.