{% extends "nopaque.html.j2" %} {% set main_class = 'ocr-color lighten' %} {% block page_content %} {{ Macros.insert_color_scheme(ocr_color_darken) }}

 

 

layersOCR

In this process, nopaque converts your image data – like photos or scans – into text data. This step enables you to proceed with the computational analysis of your documents.

Submit a job

{{ add_job_form.hidden_tag() }}
{{ M.render_field(add_job_form.title, data_length='32', material_icon='title') }}
{{ M.render_field(add_job_form.description, data_length='255', material_icon='description') }}
{{ M.render_field(add_job_form.files, accept='application/pdf', color=ocr_color_darken, placeholder='Choose your .pdf files') }}
{{ M.render_field(add_job_form.language, material_icon='language') }}
{{ M.render_field(add_job_form.version, material_icon='apps') }}
Preprocessing

{{ add_job_form.binarization.label.text }}

Based on a brightness threshold pixels are converted into either black or white. It is useful to reduce noise in images. (longer duration)

 

 

Page range

 

 

Page rotation

 

 

Page split

{{ M.render_field(add_job_form.submit, color=ocr_color_darken, material_icon='send') }}
{% endblock %}