Dictionary — Product Overview & Scope
This document defines the product vision, technical boundaries, target audiences, and functional scope of the Dictionary platform. It serves as the single source of truth for engineering, product, and external integration teams.
1. Executive Summary
Dictionary is a cloud-native, multilingual language reference platform designed to deliver high-accuracy definitions, contextual usage examples, phonetic pronunciations, and semantic relationships across 100+ languages. Built on a modular microservices architecture, the platform serves millions of API requests daily while maintaining sub-50ms response times.
The core mission is to eliminate language barriers in education, localization, content creation, and AI training pipelines by providing a standardized, programmable lexical resource.
2. Product Objectives
- Provide consistent, citable lexical data with full etymological tracing.
- Enable real-time semantic resolution for LLMs and enterprise NLP pipelines.
- Maintain 99.95% API availability with global edge caching.
- Support GDPR, CCPA, and ISO 27001 compliance across all data touchpoints.
- Deliver context-aware translations with regional dialect recognition.
3. Target Audience & Use Cases
| Audience | Primary Use Case | Key Requirements |
|---|---|---|
| Developers & AI Teams | Lexical grounding for LLMs, custom thesaurus integrations | Low-latency API, batch processing, JSON/LD support |
| Education Institutions | Curriculum-aligned vocabulary training, multilingual support | Accessibility (WCAG 2.1), offline sync, progress tracking |
| Localization Agencies | Context-preserving translation, terminology management | Custom glossaries, TM integration, bulk export |
| Content Publishers | Inline definitions, reader-mode enhancements, SEO optimization | Embeddable widgets, CDN delivery, analytics |
4. Functional Scope
| Capability | Scope Status | Notes |
|---|---|---|
| Core Dictionary Lookup (A-Z, phrases, idioms) | ● In Scope | 15M+ entries, multi-POS tagging, usage frequency scoring |
| AI Contextual Definition Engine | ● In Scope | Transformer-based sense disambiguation, confidence scoring |
| Audio Pronunciation (TTS + Native Recordings) | ● In Scope | IPA fallback, dialect variants (US/UK/CA/AU), SSML support |
| Real-Time Collaborative Glossaries | ● In Scope | Version control, role-based editing, sync across workspaces |
| Native Mobile Applications (iOS/Android) | ● Out of Scope | Deferred to v3.0; PWA currently serves mobile use cases |
| Offline-First Desktop Client | ● Out of Scope | Enterprise licensing only; not part of core SaaS tier |
| Image/OCR Word Recognition | ● Out of Scope | Evaluating third-party vision APIs for future partnership |
5. Technical Architecture & Infrastructure
The Dictionary platform operates on a cloud-agnostic, containerized stack optimized for low-latency lexical retrieval and high-throughput semantic processing.
- Frontend: React 18, Next.js App Router, TypeScript, Tailwind CSS
- API Layer: Go (gRPC/REST), GraphQL Federation, rate-limited edge proxy
- Lexical Engine: PostgreSQL (vector extensions), Elasticsearch, Redis cluster for caching
- AI/ML Pipeline: PyTorch, Hugging Face transformers, custom fine-tuned BERT variants
- Infra: Kubernetes (EKS/GKE), Terraform, Prometheus/Grafana monitoring, S3-compatible object storage
- CDN & Delivery: CloudFlare/AWS CloudFront, HTTP/3, Brotli compression
6. Compliance, Security & Data Governance
All platform operations adhere to strict data protection and accessibility standards:
- Data Residency: EU, US, APAC regions with customer-controlled routing
- Encryption: AES-256 at rest, TLS 1.3 in transit, customer-managed KMS keys optional
- Privacy: Zero third-party tracking, GDPR/CCPA compliant data deletion, anonymized usage analytics
- Accessibility: WCAG 2.1 AA compliant, keyboard navigation, screen reader optimized
- Audit: SOC 2 Type II certified, quarterly penetration testing, immutable audit logs
7. Roadmap & Development Phases
Q4 2025
Hyponym/hypernym mapping, domain-specific corpora (medical/legal)
Q1 2026
Voice input processing, handwritten word recognition, PDF context extraction
Q2 2026
Okta/Azure AD integration, automated provisioning, custom RBAC
8. Contact & Support
For architectural decisions, integration reviews, or scope modifications, please contact the Platform Engineering team:
- Technical Docs:
docs.dictionary.dev - API Support:
api-support@dictionary.dev - Security & Compliance:
security@dictionary.dev - Incident Tracking:
status.dictionary.dev