Description
This is a pretrained pipeline designed to extract handwritten text from document PDFs. It leverages advanced text recognition techniques to accurately convert handwritten content into digital text, enabling efficient transcription of handwritten notes, forms, or documents. The model is specifically optimized to handle the unique challenges posed by handwritten text, ensuring high accuracy and minimal errors in the conversion process.
Predicted Entities
Live Demo Open in Colab Download
How to use
pdf_pipeline = PretrainedPipeline('pdf_handwritten_transformer_extraction', 'en', 'clinical/ocr')
pdf_path = '/content/pdfs/'
pdf_example_df = spark.read.format("binaryFile").load(pdf_path).cache()
result = pdf_pipeline.transform(pdf_example_df)
val pdf_pipeline = new PretrainedPipeline("pdf_handwritten_transformer_extraction", "en", "clinical/ocr")
val pdf_path = "/content/pdfs/"
val pdf_example_df = spark.read.format("binaryFile").load(pdf_path).cache()
val result = pdf_pipeline.transform(pdf_example_df)
Example
Input
Output
"This is an example of handwritten
text .
Let's # check the performance !
I hope it will be awesome ."
Model Information
Model Name: | pdf_handwritten_transformer_extraction |
Type: | pipeline |
Compatibility: | Visual NLP 5.0.2+ |
License: | Licensed |
Edition: | Official |
Language: | en |