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ComPDFKit Solutions
For text extraction technology, ComPDFKit offers the following two solutions that effectively address text extraction for all types of PDF files. For documents containing only text information, our non-intelligent solution can suffice. But for more complex documents and image-based ones, ComPDFKit Document AI offers higher accuracy in text extraction. To learn about the accuracy of ComPDFKit's information extraction, see this article.
1. Algorithm: X-Y Cut Recursion Projection Method
The X-Y Cut Recursion Projection Method is a top-down page segmentation technique that decomposes a document image into rectangular blocks. It employs a recursive approach by projecting along both the X and Y axes to segment a PDF into independent rectangles, facilitating the extraction of textual components. ComPDFKit utilizes this method for efficient text separation and structural organization, including rows, paragraphs, and columns, to retrieve characters, words, lines, and paragraphs from the document.
The advantage of the X-Y Cut Recursion Projection Method is its speed, making it suitable for simple, structured, non-image-based PDF documents. However, for complex, unstructured PDFs, there might be recognition errors or omissions.
2. ComPDFKit Document AI
Document AI is an intelligent text extraction solution supporting all types of PDF files, including image-based. It uses artificial intelligence-based methods for document recognition and analysis to extract textual information from PDF documents (as well as images, tables, etc.).
- PDF Recognition and Analysis: This involves using deep learning models to recognize and analyze PDF documents, extracting elements like text, images, and tables while retaining their position, size, style, etc. ComPDFKit owns well-trained AI models to accomplish this process.
- Image Pre-processing: This process involves improving the quality and clarity of low-quality images in PDF documents, enhancing subsequent recognition and analysis. ComPDFKit employs multiple image processing techniques, such as image sharpening enhancement, noise reduction, document trimming and straightening, and stamp detection.
- OCR (Optical Character Recognition): OCR technology has a wide range of application scenarios such as license plate recognition, bank card information extraction, identity document (ID card) information recognition, train ticket information detection, etc. ComPDFKit supports recognition in dozens of languages. With extensively trained model zoo, it can accurately detect and recognize text in documents and analyze document structure.
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