PDF-to-Excel SDK Powerful PDF Table Parser for Developers
Bring intelligent, automated table extraction to your web, server, or desktop application. Convert any unstructured document or scanned image to XLSX.
Bring intelligent, automated table extraction to your web, server, or desktop application. Convert any unstructured document or scanned image to XLSX.
GdPicture.NET SDK goes beyond traditional OCR, applying a unique hybrid adaptive approach that includes heuristics, mathematics, and machine learning to accurately convert complex tables into structured data.
This new paradigm breaks traditional table extraction barriers to achieve a higher degree of accuracy compared to pure AI/ML alternatives.
No templates or training required. Software developers can quickly integrate our plug-and-play SDK into web, desktop, and server applications.
Get end-to-end control over your data with a native SDK that works offline without internet access and doesn’t send confidential documents to external software services.
A unique adaptive approach that adjusts to the document and processes documents entirely inside your application means tables are extracted in milliseconds, not seconds.
Accurately identify all bordered, semi-bordered, and borderless tables in financial statements, corporate filings, bank statements, medical reports, or any other type of document.
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Automatically extract tabular information by converting it to structured data and then exporting it to an external destination, like a spreadsheet or database.
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Transform all the tables inside your PDF files into fully editable XLSX spreadsheets. Supports both automated and batch conversions.
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Ensure your data remains secure and private by processing documents directly inside your application, without sending any information to external software services.
Quickly parse tables and extract the data that’s locked inside TIFF, JPG, CAD, Word, and scanned PDF files, or 100 other file types.
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Quickly and efficiently access data to make decisions more quickly by automatically extracting structured data from financial statements, which can be used to calculate financial ratios, compare financial performance across companies, and conduct scenario analyses.
Automatically populate data fields in a database or other system by extracting structured tabular data from documents. Examples include patient data from electronic health records (EHRs), clinical trials, invoices, resumes, and government filings.
