#Word transformer en pdf pdf
setOutputCol ( "pdf_page" ) // Assemble multipage PDF val pdf_assembler = new PdfAssembler (). setKeepInput ( True ) // Run OCR and render results to PDF val ocr = new ImageToTextPdf (). load ( pdfPath ) val pdf_to_image = new PdfToImage (). Import java.io.FileOutputStream import import ._ val pdfPath = "path to pdf" // Read PDF file as binary file val df = spark. Input Columns Param nameįor compatibility with another transformers PdfAssembler group single page PDF documents by the filename and assemble With open ( "test.pdf", "wb" ) as file : file. setOutputCol ( "pdf" ) pipeline = PipelineModel ( stages = ) result = pipeline. setConfidenceThreshold ( 60 ) textToPdf = TextToPdf () \ setThreshold ( 130 ) ocr = ImageToText () \ setOutputCol ( "image_raw" ) binarizer = ImageBinarizer () \ load ( pdfPath ) pdf_to_image = PdfToImage () \
![word transformer en pdf word transformer en pdf](https://7bestsoftware.com/wp-content/uploads/2017/02/abbyy-pdf-transformer-plus.jpg)
toString val fos = new FileOutputStream ( tmpFile ) fos. getAs ]( 0 ) // store to file val tmpFile = Files.
![word transformer en pdf word transformer en pdf](https://pdf.abbyy.com/media/2118/934x400-pdf-to-word.png)
setStages ( Array ( pdfToImage, binarizer, ocr, textToPdf )) val modelPipeline = pipeline. setOutputCol ( "pdf" ) val pipeline = new Pipeline () pipeline. setConfidenceThreshold ( 60 ) val textToPdf = new TextToPdf (). setThreshold ( 130 ) val ocr = new ImageToText (). setResolution ( 400 ) val binarizer = new ImageBinarizer (). load ( pdfPath ) val pdfToImage = new PdfToImage (). Import .Pipeline import ._ val pdfPath = "path to pdf" // Read PDF file as binary file val df = spark. Read PDF document, run OCR and render results to PDF document. Input Columns Param nameĬolumn name with binary representation of original PDF file If dataframe contains few records for same origin path, it groups image by originĬolumn and create multipage PDF document. With same font size as in original image or PDF. TextToPdf renders ocr results to PDF document as text layout. setOutputCol ( "content" ) # Call transformers setOutputCol ( "image" ) # Define transformer for store to PDF load ( pdfPath ) # Define transformer for convert to Image struct SplittingStrategy.FIXED_SIZE_OF_PARTITIONįrom ansformers import * pdfPath = "path to pdf" # Read PDF file as binary fileĭf = spark. Number of Spark RDD partitions after splitting pdf document (0 value - without repartition). Number of partitions or size of partitions, related to the splitting strategy. Number of Spark RDD partitions (0 value - without repartition)Įnable/Disable binarization image after extract image.Īrray of Binarization params in key=value format. Minimal count of characters to extract to decide, that the document is the PDF with text layout Input Columns Param nameĮxtracted text from previous method for detect if need to run transformer as fallBack Number of partitions should be equal number of cores/executors. Output dataframe contains total_pages field with total number of pages.įor process pdf with big number of pages prefer to split pdf by setting splitNumBatch param. NOTE: For setting parameters use setParamName method. Store one page pdf’s for process it using PdfToImage. Sort text during extraction with TextStripperType.PDF_LAYOUT_STRIPPERįorce repartition dataframe if set to value more than 0.Įxtract coordinates and store to the positions column
![word transformer en pdf word transformer en pdf](http://www.a-pdf.com/word-to-pdf-transfomer/word-to-pdf-transfomer-small.jpg)
Whether it needed to split document to pages Input Columns Param nameīinary representation of the PDF document PDFToText extracts text from selectable PDF (with text layout). Next section describes the transformers that deal with PDF files with the purpose of extracting text and image data from PDF files.