Description
Pretrained pipeline designed to remove noise in input printed documents, enhancing OCR readability for more accurate text extraction.
Predicted Entities
Live Demo Open in Colab Download
How to use
pdf_pipeline = PretrainedPipeline('mixed_scanned_digital_pdf_image_cleaner', '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("mixed_scanned_digital_pdf_image_cleaner", "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
Sample specifications written by
, BLEND CASING RECASING
- OLD GOLD STRAIGHT Tobacco Blend
Control for Sample No. 5030
Cigarettes:
OLD GOLD STRAIGHT
John H. M. Bohlken
FINAL FLAVOR MENTHOL FLAVOR
Tars and Nicotine, Taste Panel, Burning Time, Gas Phase Analysis,
Benzo (A) Pyrene Analyses — T/C -CF~ O.C S51: Fee -
Written by -- John H. M. Bohlken
Original to -Mr. C. L. Tucker, dr.
Copies to ---Dr. A. W. Spears
C
~
Model Information
| Model Name: | mixed_scanned_digital_pdf_image_cleaner |
| Type: | pipeline |
| Compatibility: | Visual NLP 5.0.2+ |
| License: | Licensed |
| Edition: | Official |
| Language: | en |