TrOCR Base Handwritten Historical Swedish Model
| Property | Value |
|---|---|
| Developer | Swedish National Archives |
| Model Type | TrOCR base handwritten |
| Language | Historical Swedish |
| License | Apache 2.0 |
| Base Model | trocr-base-handwritten |
What is trocr-base-handwritten-hist-swe-2?
This is a specialized Handwritten Text Recognition (HTR) model developed through collaboration between the Swedish National Archives, Stockholm City Archives, Finnish National Archives, and Jämtlands Fornskriftsällskap. The model excels at transcribing Swedish handwritten texts from the 17th to 19th centuries (1600-1900), operating at the text-line level within an HTR pipeline.
Implementation Details
The model utilizes the TrOCR architecture and has been extensively trained on diverse historical Swedish documents. It processes text line by line, with impressive Character Error Rates (CER) as low as 0.75% on well-matched datasets. The model employs bf16 training with a learning rate of 5e-5 and weight decay of 0.01.
- Preprocesses text-line polygons against white backgrounds
- Operates within a complete HTR pipeline for full-page transcription
- Supports batch processing and beam search for optimal results
- Integrates with HTRflow for streamlined document processing
Core Capabilities
- Accurate transcription of historical Swedish handwriting
- Support for documents from 1600-1900
- Fine-tuning capability for specific collections
- Integration with full document processing pipelines
- High accuracy with CER ranging from 0.75% to 13.60% depending on document type
Frequently Asked Questions
Q: What makes this model unique?
The model's specialization in historical Swedish handwriting from 1600-1900 and its extensive training on authentic archival materials make it uniquely suited for processing historical Swedish documents. Its ability to achieve very low error rates on period-appropriate texts sets it apart from general-purpose HTR models.
Q: What are the recommended use cases?
The model is ideal for transcribing Swedish historical documents, particularly those from archives and collections dating from 1600-1900. It's especially effective for large-scale digitization projects of historical Swedish manuscripts, letters, and official documents. The model can also be fine-tuned for specific collections with as few as 20-50 manually transcribed samples.
