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Anopmynizer
Brief description
AnonDoc is a tool for the GDPR-compliant anonymization of personal data in Word, Excel, PowerPoint, and PDF documents. Users upload one or more files through a desktop, web, or command-line client and receive anonymized copies in return. Documents can be grouped into projects, and within a project the tool keeps a reliable, consistent mapping between original and anonymized values (for example, every 'Andreas Schmidt' becomes the same 'Franz Muxedner'). Each mapping is unique to its project. Users select a single file or a folder of supported files, choose where the results are saved, and optionally name the project; if none is given, one is generated automatically.
Supplement
Technically, it is a Kotlin/Ktor REST service with shared DTOs in a multiplatform Contracts module, as well as a web client. A desktop client and a CLI client are planned as future extensions. Microsoft Presidio detects personal data. It runs a transformers-based NLP engine (spaCy for tokenization plus HuggingFace BERT NER models for English and German); DataFaker generates realistic pseudonyms. Project-scoped mappings are stored AES-GCM-encrypted in SQLite, so the same original always yields the same pseudonym within a project. A coroutine-based job manager processes uploads concurrently and reports progress via server-sent events. Format-specific adapters (currently .docx via docx4j) extract and rewrite text. Original files are ephemeral; only encrypted mappings persist. Metrics are exposed via Micrometer/Prometheus, and OpenAPI/Swagger-UI documents the API.
Subject description
The project is developed spec driven with the help of claude code. The developer writes a high-level description of the project and the technical infrastructure. Claude Code generates specifications from the high-level descriptions which are the reviewed by the developer. When the specifications are approved, Claude Code generates the code.
IT project data
- Industries Consulting
- Specialist tasks Business Analytics, business process analysis, business process management, data protection, GDPR implementation, software development
- DP tasks customised software new development
- System environments Artificial Intelligence (AI), technical data processing
- Procedure model agile software development
- Programming languages Kotlin
- System software Docker, Docker Desktop
- Middleware and frameworks docx4j, Exposed, Ktor, Microsoft Presidio
Project start11.05.2026
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