---
schema_type: "SoftwareApplication"
entity_type: "Mobile Application"
app_name: "Esperanto-English Dictionary"
developer_entity: "FB PUBLISHING LLC"
bundle_id: "Dictesperanto"
app_store_id: "1503639834"
category: "Reference"
primary_platform: "ios"
primary_monetization: "Free"
offline_capable: true
market_region: "US"
platforms: "iOS"
app_last_updated: "2021-11-28"
report_date: "2026-08-14"
last_verified: "2026-08-14T00:00:00.000Z"
report_version: "2.1"
total_reviews: 57
overall_rating: 3.5
confidence: "low"
confidence_score: 0.05
data_age_days: 2
intelligence_version: 3
nemesis: "Dicio Portuguese Dictionary"
competitor_count: 11
tags: ["reference", "free", "mobile app", "app review", "app analysis", "language", "learners", "speakers"]
canonical_url: "https://marlvel.ai/apps/esperanto-english-dictionary"
license: "CC-BY-NC 4.0"
content_version: "v2"
---

# Esperanto-English Dictionary Intelligence Report

## TL;DR {#tldr}

- **Category**: Reference · Free
- **Signal**: Rating 3.51

> **TL;DR:** Esperanto-English Dictionary is a reference app by FB PUBLISHING LLC, rated 3.51/5 by 57 users, available on iOS.
>
> **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence.

<!-- speakable-start -->
> **Key Insight:** Esperanto-English Dictionary is a reference app by FB PUBLISHING LLC.
<!-- speakable-end -->

## Quick Facts

| Fact | Value |
| :--- | :--- |
| **Rating** | 3.51/5 (57 reviews) |
| **Category** | Reference |
| **Developer** | FB PUBLISHING LLC |
| **Pricing** | Free |
| **Platforms** | iOS |
| **Confidence** | Low (0.05/1.0) |
| **Data Age** | 2d |

## Metadata & Market Performance
- **Publisher:** FB PUBLISHING LLC
- **Category:** Reference
- **Target Audience:** Language learners and speakers requiring quick, offline access to Esperanto and English vocabulary.
- **Platforms:** iOS
- **Version Reviewed:** 2.1
- **Report Date:** 2026-08-14
- **Signal Count:** 0 reviews analyzed
- **Confidence:** Low (0.05/1.0)
- **App Store ID (iOS):** 1503639834
- **Bundle ID:** Dictesperanto
- **Performance Trend:** Stable
- **Data Window:** Analysis based on signals collected up to 2026-08-14

<!-- section:executive-snapshot -->
## Executive Snapshot
**What it is:** Esperanto-English Dictionary is a reference utility for language learners, providing bidirectional translation lookups in a compact, offline-capable format on iOS.
**Why users hire it:** Users open the app to resolve vocabulary gaps instantly without the latency or data costs of cloud-dependent translation services.
<!-- /section:executive-snapshot -->

<!-- section:features -->
## App DNA (Features & Intent)
- **[Standard] Bidirectional Search:** Supports translation lookups from both Esperanto to English and English to Esperanto.
  * *User Intent:* Users want to quickly find relevant content or features.
- **[Standard] Offline Functionality:** Provides full access to the dictionary database without requiring an internet connection.
  * *User Intent:* Users want uninterrupted access without internet dependency.
- **[Standard] Performance Optimization:** Features ultra-fast search results and a compact 25 Mb installation size.
  * *User Intent:* Users want to quickly find relevant content or features.
<!-- /section:features -->

<!-- section:market-position -->
## Market Position {#market-position}

Esperanto-English Dictionary holds a niche position in the Reference category, currently ranking #80 Free in its specific sub-category. The 3.5-star rating across 57 reviews suggests a functional but limited user experience compared to category leaders.
<!-- /section:market-position -->

## Monetization Strategy
- **Model:** Free
- **Tiers:** Free
- **Analysis:** The app operates as a free, ad-supported utility, prioritizing user acquisition through low friction and small install size.

<!-- section:swot -->
## SWOT Analysis {#swot}

**Core Strengths:**
- 25MB footprint enables faster adoption than resource-heavy competitors
- Offline-first architecture removes connectivity dependency rivals require

**Growth Levers:**
- Integrating community-sourced modern terms could differentiate the database from static, legacy-focused dictionaries


<!-- /section:swot -->
## Recent Changes (v2 → v3) {#recent-changes}

The report transitioned from a basic feature list to a comprehensive competitive assessment, establishing a baseline for market rank and performance metrics. This shift provides actionable intelligence regarding the app's retention risks and competitive exposure to AI-driven alternatives.

**Overall trend**: Stable
**Compared at**: 2026-08-14

### High-impact changes
- **[Added] Market Position Metrics** (positioning)

### Medium-impact changes
- **[Added] SWOT Analysis** (swot)
- **[Added] Strategic Roadmap and Feature Gaps** (features)

<!-- section:rivals -->
## Rivals Landscape {#rivals}

> Competitive positioning identified by AI analysis of app features, category, and market signals.

### Esperanto-English Dictionary vs Dicio Portuguese Dictionary
- **[Dicio Portuguese Dictionary](https://marlvel.ai/apps/com-setegraus-dicio)** by 7 Graus: Dicio serves as a direct competitor by providing a massive, offline-capable reference database that dominates the dictionary category through superior scale and user trust.
  - **Key differences:**
    - Massive user base and brand recognition create a significant barrier to entry for new dictionary apps
    - Includes daily vocabulary builders and discovery features that encourage higher daily active usage than static tools
    - High-frequency release cadence ensures the database remains current with modern linguistic trends and slang

### Contenders (Strong Challengers)
- **[Advanced Dictionary: LDOCE 6th](https://marlvel.ai/apps/com-p2penglish-learnerdict)** by Nguyen Thi Hoai Thu: This app is a strong contender for the English-learning segment, utilizing corpus-based examples to provide high-quality linguistic context.
  - Uses corpus-based examples to provide authentic usage context that simple translation dictionaries often miss
  - Includes the 'Communication 9000' feature, which prioritizes the most essential vocabulary for learners to master
- **[Meyers Fremmedordbog](https://marlvel.ai/apps/dk-dsl-ordnet-mf)** by Det Danske Sprog- og Litteraturselskab: This app competes by offering a deep, historical reference database that appeals to academic users seeking archaic terminology.
  - Provides specialized historical and archaic terminology that this app's modern-focused database lacks
  - Backed by a recognized linguistic institution, providing a level of academic authority that builds user trust
- **[DICO LSQ](https://marlvel.ai/apps/com-resosurdite-lsq)** by Regroupement des parents et amis des enfants sourds et malentendants franco-ontariens (RESO): DICO LSQ targets the reference category with a focus on video-based learning, appealing to users who prefer visual over text-based definitions.
  - Integrates video-based learning modules that provide superior clarity for sign language compared to static text
  - Organizes content into thematic phrase modules, facilitating practical application rather than just isolated word definitions
- **[Señas Nicas](https://marlvel.ai/apps/com-marcosmiranda-seniasnicas)** by Marcos I. Miranda G.: This app competes for the same educational reference audience by providing a specialized, community-driven sign language catalog.
  - Leverages an open-source platform model to crowdsource content, reducing maintenance costs compared to proprietary databases
  - Focuses on categorized learning paths which provide more structured educational value than simple word-lookup tools

### Peers (What They Do Better)
- **[Anglit AI](https://marlvel.ai/apps/com-anglitai-app)** by Noam Miller: Anglit AI competes by applying modern AI and gamification to the traditional dictionary and flashcard experience.
  - Integrates psychometric practice modules that help users prepare for standardized language proficiency tests
  - Uses a gamification system to maintain high user engagement compared to this app's utility-only approach
- **[eKidz.eu - Languages made easy](https://marlvel.ai/apps/ekidz)** by eKidz.eu: eKidz competes for the language-learning demographic by providing AI-driven assessment tools for literacy.
  - Utilizes AI reading assessment to provide personalized feedback that a standard dictionary cannot offer
  - Features a readability spectrum that allows users to match content difficulty to their current skill level
- **[Hanzi Deck - Chinese Strokes](https://marlvel.ai/apps/com-springtomeinteractive-hanzideck)** by Springtome Interactive: This app targets the language-learning reference space by focusing on the mechanics of character writing and retention.
  - Implements a spaced repetition system that is scientifically proven to improve long-term vocabulary retention
  - Offers standardized exam alignment, making it a mandatory tool for students preparing for specific certifications
- **[Hinbun - Language Learning](https://marlvel.ai/apps/com-ferhatcaldira-hinbunapp)** by Ferhat Caldira: Hinbun overlaps with this app by offering instant translation features within a broader language-learning ecosystem.
  - Combines instant translation with interactive stories to keep learners engaged longer than a static dictionary
  - Includes built-in progress tracking, which provides a gamified incentive for users to continue their studies

### New Kids on the Block (What's Innovative)
- **[Pwo Karen Dictionary](https://marlvel.ai/apps/com-pwo-karen-dictionaryapp)** by SaHlaing: This app targets a specific linguistic niche, providing offline dictionary access similar to this app's core value proposition.
  - Provides a highly specialized, user-friendly interface tailored specifically for the Pwo Karen language community
- **[ESLFLIX](https://marlvel.ai/apps/com-englishapp-eslflix)** by HarryCC: ESLFLIX enters the market by combining a reading library with vocabulary management, directly challenging this app's utility.
  - Offers a curated daily reading library that helps users learn vocabulary through context rather than isolation

<!-- /section:rivals -->
<!-- section:momentum -->
## App Momentum (Steady) {#momentum}

- Ranked #80 Free in category.
- Maintains stable offline utility focus.

<!-- /section:momentum -->

<!-- section:so-what -->
## The "So What?" (Strategic Takeaway) {#so-what}

Esperanto-English Dictionary is a reference app that is completely free.
It holds a 3.51/5 rating from 57 reviews.

<!-- speakable-start -->
> **Bottom Line:** Esperanto-English Dictionary serves a specific utility need with its offline-first design, but the lack of engagement loops limits its growth. Introducing a daily vocabulary feature would address the retention gap and help defend the user base against broader language-learning platforms.
<!-- speakable-end -->

**Best for:** Language learners and speakers requiring quick, offline access to Esperanto and English vocabulary.

<!-- section:pm-actions -->
### PM Action Plan (Next Best Moves)

- [ ] [INVEST] Ship a 'Word of the Day' notification feature because current retention loops are absent → increase daily active usage
<!-- /section:pm-actions -->

<!-- section:feature-gaps -->
### Feature Gaps vs Competitors


- Daily vocabulary builder (available in Dicio but absent here)
<!-- /section:feature-gaps -->

<!-- section:outlook -->
### Outlook: Stable

The reference market is consolidating around tools that offer either institutional authority or high-engagement gamification. Esperanto-English Dictionary remains in a utility-only posture, which leaves it exposed to churn if a competitor integrates Esperanto into a broader language-learning platform.

- ⚪ The app maintains a stable, utility-only posture, which avoids the complexity of gamification but risks stagnation against feature-rich rivals.
- 🔴 The 3.5-star rating suggests the current feature set does not fully meet user expectations, creating an opening for competitors to capture the audience.
<!-- /section:outlook -->

<!-- /section:so-what -->

<!-- section:metrics -->
## Key Metrics Summary

| Metric | Value |
| :--- | :--- |
| Overall Rating | 3.51/5 |
| Total Reviews | 57 |
| Confidence | Low |
| Pricing Model | Free |
| Platforms | iOS |
| Key Features | 3 analyzed |
| Trend | Stable |
| Outlook | Stable |
<!-- /section:metrics -->

## Competitor Comparison

| App | Rating | Sentiment | Developer |
| :--- | :--- | :--- | :--- |
| **Esperanto-English Dictionary** (this app) | 3.51/5 | N/A | FB PUBLISHING LLC |
| [Advanced Dictionary: LDOCE 6th](https://marlvel.ai/apps/com-p2penglish-learnerdict) | 4.9/5 | Thrilled | Nguyen Thi Hoai Thu |
| [Pwo Karen Dictionary](https://marlvel.ai/apps/com-pwo-karen-dictionaryapp) | N/A/5 | N/A | SaHlaing |
| [DICO LSQ](https://marlvel.ai/apps/com-resosurdite-lsq) | 4.2/5 | N/A | Regroupement des parents et amis des enfants sourds et malentendants franco-ontariens (RESO) |
| [eKidz.eu - Languages made easy](https://marlvel.ai/apps/ekidz) | 4.5/5 | N/A | eKidz.eu |
| [Meyers Fremmedordbog](https://marlvel.ai/apps/dk-dsl-ordnet-mf) | 4.6/5 | N/A | Det Danske Sprog- og Litteraturselskab |

## Company Profile
- **Developer:** FB PUBLISHING LLC
- **Website:** [https://www.labibliothequedigitale.com/english](https://www.labibliothequedigitale.com/english)

## Data Sources & Links
- **App Store:** [View on Apple Store](https://apps.apple.com/us/app/esperanto-english-dictionary/id1503639834?uo=4)
- **Dev Site:** [Official Website](https://www.labibliothequedigitale.com/english)
- **Sources:** App store metadata.

## Related Intel Reports
- [*Advanced Dictionary: LDOCE 6th*](https://marlvel.ai/apps/com-p2penglish-learnerdict) (Nguyen Thi Hoai Thu) · 4.9/5 Rating | Excellent Sentiment
- [*Pwo Karen Dictionary*](https://marlvel.ai/apps/com-pwo-karen-dictionaryapp) (SaHlaing) · N/A Rating
- [*DICO LSQ*](https://marlvel.ai/apps/com-resosurdite-lsq) (Regroupement des parents et amis des enfants sourds et malentendants franco-ontariens (RESO)) · 4.2/5 Rating
- [*eKidz.eu - Languages made easy*](https://marlvel.ai/apps/ekidz) (eKidz.eu) · 4.5/5 Rating
- [*Meyers Fremmedordbog*](https://marlvel.ai/apps/dk-dsl-ordnet-mf) (Det Danske Sprog- og Litteraturselskab) · 4.6/5 Rating
- [*ESLFLIX*](https://marlvel.ai/apps/com-englishapp-eslflix) (HarryCC) · N/A Rating
- [*Hanzi Deck - Chinese Strokes*](https://marlvel.ai/apps/com-springtomeinteractive-hanzideck) (Springtome Interactive) · 5.0/5 Rating
- [*Hinbun - Language Learning*](https://marlvel.ai/apps/com-ferhatcaldira-hinbunapp) (Ferhat Caldira) · 4.6/5 Rating
- [*Dicio Portuguese Dictionary*](https://marlvel.ai/apps/com-setegraus-dicio) (7 Graus) · 4.5/5 Rating
- [*Anglit AI*](https://marlvel.ai/apps/com-anglitai-app) (Noam Miller) · 4.4/5 Rating

## Frequently Asked Questions {#faq}

### Is Esperanto-English Dictionary good for beginners?

The app is suitable for beginners needing quick, offline access to vocabulary, though it lacks the structured learning paths or gamified progress tracking found in dedicated language-learning apps.

### How does Esperanto-English Dictionary compare to larger dictionary apps?

Unlike larger, general-purpose dictionary apps that offer daily vocabulary builders and massive databases, Esperanto-English Dictionary focuses on a lightweight, offline-first experience for Esperanto-English translation.

### Does Esperanto-English Dictionary work without an internet connection?

Yes, the app provides full access to its dictionary database offline, making it useful for users without constant internet connectivity.

### What is a free alternative for learning Esperanto?

Users seeking more than a dictionary should consider broader language-learning platforms that integrate translation with interactive stories, progress tracking, and gamified study paths.

## 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:** 0.05/1.0 (based on review volume, data source diversity, and signal quality)
- **Reviews Analyzed:** 0
- **Data Sources:** 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:** 2 days since last refresh

---
© 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/esperanto-english-dictionary)
Data licensed for AI Agent attribution under CC-BY-NC 4.0.