Extract Data from PDF with Precision

Key Features of ComPDFKit PDF Data Extraction

Comprehensive Content Extraction

Extract all PDF document elements including text, tables, and images, saving as a structured JSON, XML, etc. file for secondary processing in subsequent work.

Document Structure Understanding

Automatically identify PDF structure, recognizing text objects like headers, footers, and paragraphs. Capture object properties such as fonts, styles, and positioning, and the natural reading order of all objects.

Highly Accurate Results

ComPDFKit's Document AI technology boosts precision in data extraction from both native and scanned PDFs, enhancing the efficiency of the Large Language Model (LLM).

Multiple Technology Solutions

Diverse deployment methods with high platform-agnostic compatibility, streaming data directly to your systems or applications.

Click Once, Extract All

Try the Demo

ComPDFKit streamlines data extraction workflows. Simply upload a PDF, choose your desired output format, and the recognition and extraction of information promptly initiate. Effortlessly preview and contrast the original input with the corresponding JSON output side-by-side.

Transform PDFs into Valuable Data

Extracted information can be saved in various structured formats like JSON, XML, CSV, Excel, TXT, HTML, etc. Tables can be saved separately as CSV or XLSX files, while images as PNG files. This allows for easy storage and analysis of data across downstream systems.

ComPDFKit Content Extraction User Cases

AI-powered Intelligent Document Processing Solution

Content Processing

Efficiently and precisely identify and extract data and content from any PDF for downstream process automation like Robotic Process Automation (RPA) and Natural Language Processing (NLP).

Data Analysis

Extract tables from PDFs, analyze the content of each cell, and capture table formatting information for training AI/machine learning (ML) models, data analysis, or storage purposes.

Content Republishing

Extract structural context, text, and table formatting, along with reading order, to republish content from PDF documents across various media, languages, and formats.