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We're thrilled to introduce [HTRFLOW](https://huggingface.co/spaces/Riksarkivet/htr_demo), our demonstration platform that brings to life the process of transcribing Swedish handwritten documents from the 17th to the 19th century.
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<img src="https://github.com/Borg93/htr_gradio_file_placeholder/blob/main/htrflow_background_dalle3.png?raw=true" alt="HTRFLOW Image" width=40%>
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At the moment
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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.
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## Run app
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# htrflow_app: A demo app for htrflow
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We're thrilled to introduce [HTRFLOW](https://huggingface.co/spaces/Riksarkivet/htr_demo), our demonstration platform that brings to life the process of transcribing Swedish handwritten documents from the 17th to the 19th century.
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<img src="https://github.com/Borg93/htr_gradio_file_placeholder/blob/main/htrflow_background_dalle3.png?raw=true" alt="HTRFLOW Image" width=40%>
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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.
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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.
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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.
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**Note** that the backend (src) for the app will be rewritten and packaged to be more optimized under the project name [htrflow_core](https://github.com/Swedish-National-Archives-AI-lab/htrflow_core).
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## Run app
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