HTR-demo 🔍
HTR-demo
Developed by the National Archives of Sweden with Huminfra that demonstrates AI-powered conversion of historical manuscripts to digital text using HTRflow.
Note: This demo application is for demonstration purposes only and is not intended for production use. The application is hosted on Hugging Face 🤗 using shared infrastructure, which means there is a daily quota limit on how much you can use the app each day.
Both the App and HTRflow's code are completely open source. Explore and contribute on GitHub:
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Select or upload the image you want to transcribe. Most common image formats are supported and you can upload max 5 images at a time in this hosted demo.
Select a pipeline that best matches your image. The pipeline determines the processing workflow optimized for different text recognition tasks. If you select an example image, a suitable pipeline will be preselected automatically. However, you can edit the pipeline if you need to customize it further. Choosing the right pipeline significantly improves transcription quality.