PDF Table Extraction to Unified Schema

The PDF Table Extraction component delivers a state-of-the-art solution for parsing PDF documents and extracting valuable information contained within tables of these unstructured data sources. This tool is adept at handling both digital PDFs, which are generated directly from electronic sources, and OCR (Optical Character Recognition) PDFs, which are created by converting scanned images of documents into editable and searchable formats.

In addition, the PDF Table Schema component offers a robust solution for structuring of data from PDF Table Extraction Component into a structured JSON format. It efficiently transforms unstructured PDF table from documents into searchable and unified data which is ready for seamless integration using Datastreamer pipeline into various products, enhancing the accessibility and usability of the information contained within the tables.

The complex and unstructured table layouts within PDFs, including both text and other metadata, can be efficiently converted into a uniform schema using a PDF table schema component.

Example Use Cases

• Financial Reports: It extracts tabular data from financial documents, such as balance sheets, income statements, and cash flow statements.
• Technical Reports: Extract information from user manuals, product specifications, and technical guides that utilise tables to organise complex information.
• Market Research:Includes surveys, consumer behavior reports, and industry analyses that present data in tables for business insights.
• Chemical Lab Reports: This tool can process tables from chemical lab reports, capturing intricate data such as compound measurements and experimental results.

Here is the sample JSON schema output generated by the PDF Table Schema component:

"results": [
        {
            "data": {
                "pdf_report": {
                    "pdf_processing_time": 44,
                    "total_pages": 51,
                    "pdf_file_name": "ABC.PDF",
                    "total_tables": 5
                },
                "extracted_tables": [
                    {
                        "title": "Depth Analysis",
                        "page_no": 30,
                        "accuracy": 97.8,
                        "table_pages": "1 of 3",
                        "date": "15.02.2012",
                        "number_of_columns": 17,
                        "number_of_rows": 25,
                        "number_of_cells": 425,
                        "table": [{
                        "field1": "1",
                        "field2": "1",
                        "field3": "cat",
                        "field4": "39.7",
                                                          
                        } 
                                 ]
                      
                    }