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Compress your PDF files by VeryPDF PDF Compressor, VeryPDF PDF Compressor supports JBIG2 and JPEG2000 compression. VeryPDF PDF Compressor is developed for compressing PDF files. It can reduce the size of images in a PDF file.

PDF Font Extractor Command Line does extract embedded fonts from PDF file and save to TrueType TTF and CFF font files. VeryPDF PDF Font Extractor Command Line can extract fonts of PDF by command line operation.

VeryPDF PDF Text Replacer is developed for replacing text of PDF. It can replace specified text in specified positions of pages, with text or images. It can also replace all found text with given text or images for all selected PDF files in batches.

VeryPDF Image to PDF OCR SDK for .NET is a powerful .NET conversion tool that allows third-party developers to quickly integrate Image to PDF OCR Converter into their own standalone applications. Image to PDF OCR can convert scanned JPEG to PDF.

VeryPDF PDF Stitcher is designed to stitch multiple PDF pages into one PDF page for Mac and PC users. A user can control the sequence, amount, layouts and rotation of pages in the new PDF page. The size of new single page is also customizable.

VeryPDF PDF Password Remover for Mac removes passwords to recover PDF in Mac OS X. VeryPDF PDF Password Remover for Mac is built for removing PDF passwords on Mac OS computers. It can remove the owner password of PDF directly.

VeryPDF PDF to Image Converter for Mac is built for converting PDF to BMP, JPG, GIF, PNG, PPM, TIF and TGA. PDF to Image Converter converts PDF's into single page or multi-page raster images such as TIFF or JPEG.

VeryPDF PDF to Table Extractor is designed to extract PDF table data to Microsoft Office Excel and CSV files. It supports Excel (.xls) and comma-separated value (.csv) files. Users can manually divide the table columns and then save to Excel.

VeryPDF PDF to Word OCR Converter does convert scanned PDF files to editable Word documents. PDF to Word OCR Converter is a professional tool to convert scanned PDF and image to Word via optical character recognition.