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2. Solid PDF Tools - Wikipedia

   en.wikipedia.org/wiki/Solid_PDF_Tools

   Solid PDF Tools recognizes columns, can remove headers, footers and image graphics and can extract flowing text content. Selective content extraction is supported, allowing the conversion of specific text, tables, or images from a PDF file while also providing for the combination of multiple PDF tables into a single Excel worksheet. [3]

3. Poppler (software) - Wikipedia

   en.wikipedia.org/wiki/Poppler_(software)

   pdfimages – extract all embedded images at native resolution from a PDF; pdfinfo – list all information of a PDF; pdfseparate – extract single pages from a PDF; pdftocairo – convert single pages from a PDF to vector or bitmap formats using cairo; pdftohtml – convert PDF to HTML format retaining formatting; pdftoppm – convert a PDF ...

4. Solid Converter PDF - Wikipedia

   en.wikipedia.org/wiki/Solid_Converter_PDF

   Solid Converter PDF is document reconstruction software from Solid Documents which converts PDF files to editable formats. Originally released for the Microsoft Windows operating system, a Mac OS X version was released in 2010. The current versions are Solid Converter PDF 9.0 for Windows and Solid PDF to Word for Mac 2.1.

5. List of PDF software - Wikipedia

   en.wikipedia.org/wiki/List_of_PDF_software

   Open-source, cross-platform C library to generate PDF files. OpenPDF: GNU LGPLv3 / MPLv2.0: Open source library to create and manipulate PDF files in Java. Fork of an older version of iText, but with the original LGPL / MPL license. PDFsharp: MIT C# developer library to create, extract, edit PDF files. Poppler: GNU GPL

6. Table extraction - Wikipedia

   en.wikipedia.org/wiki/Table_extraction

   The Python pandas software library can extract tables from HTML webpages via its read_html() function. More challenging is table extraction from PDFs or scanned images, where there usually is no table-specific machine readable markup. [1] Systems that extract data from tables in scientific PDFs have been described. [2] [3]

7. Data extraction - Wikipedia

   en.wikipedia.org/wiki/Data_extraction

   Typical unstructured data sources include web pages, emails, documents, PDFs, social media, scanned text, mainframe reports, spool files, multimedia files, etc. Extracting data from these unstructured sources has grown into a considerable technical challenge, where as historically data extraction has had to deal with changes in physical hardware formats, the majority of current data extraction ...