# Spaces

## Fasttrack & Stepwsie

[htrflow_app](https://github.com/AI-Riksarkivet/htrflow_app)

htrflow_app is designed to provide users with a step-by-step visualization of the HTR-process, and offer non-expert users an inside look into the workings of an AI-transcription pipeline.
At the moment htrflow_app is mainly a demo-application. It’s not intended for production, but instead to showcase the immense possibilities that HTR-technology is opening up for cultural heritage institutions around the world.

All code is open-source, all our models are on [Hugging Face](https://huggingface.co/collections/Riksarkivet/models-for-handwritten-text-recognition-652692c6871f915e766de688) and are free to use, and all data will be made available for download and use on [Hugging Face](https://huggingface.co/datasets/Riksarkivet/placeholder_htr) as well.

**Note**
!!! Note

    The backend (src) for the app will be rewritten and packaged to be more optimized under the project name [htrflow](https://github.com/AI-Riksarkivet/htrflow).

<iframe
	src="https://riksarkivet-htr-demo.hf.space"
	frameborder="0"
	width="850"
	height="450"
></iframe>
