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# Implementation Project<br>OCR‑D / Kitodo
  
1. Current Status
2. Next steps
3. Challenges
---
## 1 Current Status
**SLUB Dresden:**
* Dockerized components for development
* integrated pipeline from script task in .Production to OCR-D and back
* **but** very simple, with very basic technologies
(SSH, shared data, hard-coded configurations)
* lots of processor improvements
**UB Mannheim:**
* updated ocrd_all (GH Action for Docker images, fixes and optimizations)
* working on a public DFG Viewer test instance with an OCR-on-demand proof of concept
**UB Braunschweig:**
* testing SLUB components in a live .Production setting
* reporting and processing of Kitodo users survey results
* working paper to gather information for the project
----
## Architecture
----
## Components
* Starting point: https://github.com/markusweigelt/kitodo_production_ocrd
* **Kitodo.Production / Kitodo.Presentation / …**
* any system that wants to use OCR-D processing
* our goal is a flexible integration of systems
* **OCR-D Manager**
* mediator between systems (flexible integration)
* delegates OCR to dedicated processing infrastructure (Controller)
* signaling / reporting
* validation
* extraction (processed images, fulltext, annotations, mets, …)
* -> https://github.com/markusweigelt/ocrd_manager
* **OCR-D Controller**
* web service entry point
* orchestrates processing infrastructure
* -> https://github.com/bertsky/ocrd_controller
----
## Modes of operation
* **Easy:**
* images
* **Standard:**
* images + METS (+ default workflow selection)
* **Expert:**
* images + METS + custom workflow configuration
----
## Integration
----
## Demo
---
## 2 Next Steps
**SLUB Dresden:**
* improve components to achieve more flexibility
* job queue, or delegate to workflow/processing server in Controller
* more preconfigured integration scenarios (e.g. .Presentation)
* options for configuration in .Production
* de-coupling of data shares (explicit transfer)
* workflow selection/editing
* adapt to coming changes in OCR-D (networking, error handling...)
**UB Mannheim:**
* integration of SLUB-components for OCR-D on demand
**UB Braunschweig:**
* survey for users in the Digital Humanities space
* apply current components exemplary on productive instances
---
## 3 Challenges
* must advance CLI/API changes in OCR-D (dynamic workflows, evaluators, error handling, page-parallel processing, networking)
* network implementation for OCR-D
* getting workflow/processing server adopted in core
* roadmap for implementation of full Web API
* workflow engine for OCR-D
* off-the-shelf implementation vs. workflow server in core vs. makefile-based
* managing/monitoring jobs with UI
* fail-over, re-entry and data lifetime
* efficiency, scalability, processing resources
* quality estimation and smart workflows
---
## Thank you!
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