Layout Analysis

Overview

Layout analysis is the process of leveraging Artificial Intelligence (AI) technology to parse and understand the structure of a document's layout. Its primary goal is to extract text, images, tables, layers, and other data from the input documents.

Layout analysis has several common use cases, including:

• Intelligent recognition of tables within PDF documents: This feature is particularly useful for analyzing company financial statements, invoices, bank statements, experimental data, medical test reports, and more.
• Smart extraction of text, images, or tables from PDF documents through layout analysis: This functionality greatly aids in the analysis and extraction of information from identification cards, receipts, licenses, documents, ancient books, and other various types of files.

Features that support Layout Analysis:

• PDF to Word
• PDF to Excel
• PDF to PowerPoint (Slides)
• PDF to HTML
• PDF to RTF
• PDF to TXT
• PDF to CSV
• Extract PDF to JSON
• Extract PDF to Markdown

Notice

• You need to load the DocumentAI model (see 3.2 Set DocumentAI Model) before using layout analysis, or plug in your own layout model through the callbacks described in 3.11 Use Custom AI Models via Callbacks.
• When OCR is enabled, layout analysis is automatically enabled.
• AI table recognition is a separate stage controlled by enable_ai_table_recognition. See 3.10 Table Recognition.

Sample

This Sample demonstrates how to use the ComPDF OCR function to convert PDF to DOCX file.

input_file_path = "***"
password = "***"
output_file_name = "***"

word_options = ConvertOptions()
word_options.enable_ai_layout = True
error = CPDFConversion.start_pdf_to_word(input_file_path, password, output_file_name, word_options)