Data Pipe
A unified processing pipeline for audio, video, images and documents
Data Pipe accepts data in multiple formats, preserves the original source and transforms it into a unified structured package. The result contains a reference to the raw material, extracted or transcribed text, a processed version and execution metadata.
- Role
- Creator, Product Architect, System Analyst
- System
- Java 21 / Spring Boot / Thymeleaf / PostgreSQL / MinIO / Speaches / LiteLLM / Docker
From raw input to structured data
Data Pipe is a multi-format data processing system for audio, video, images, text and documents. It preserves the original source, extracts or transcribes its content and produces a standardized package containing a reference to the raw data, the transcription, the processed text and execution metadata. The project is designed as a reusable ingestion layer that isolates downstream systems from source-specific formats and allows processing pipelines to evolve independently.