We receive wordml documents which are basically XML files generated from msword docs which contains all formatting instructions also. Now we have a requirement to convert these files to PDF. I looked at iText xmlworker to do this conversion. What it did was simply removed all XML tags and gave me all the contents as single paragraph in PDF with no formatting.
How to make sure that generated PDF contains text with correct format from this wordml doc.
iText's product XMLWorker requires you to handle each XML element manually (unless you have HTML as input). The XML schema for MS Word documents is extremely complicated, so you'd be working on that for a few years to get something that looks even remotely ok. In short, XMLWorker doesn't do what you think it does.
If you want MS Word to PDF conversion, you need another kind of solution. XDocReport (MIT license) is one of these, and it has plugins for both iText 2 (LGPL license) and iText 5 (AGPL license). Results are not perfect though.
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I use iText to read a PDF document containing an XFA form.
I convert it to XML, read data from the XML and insert it in a datatbase.
But if I dont have an XFA form in the PDF then how I can efficiently read data from the PDF?
It depends on your expectations.
You can use text extraction to retrieve all the text on a certain page. How you then process the text is up to you. (e.g. regular expressions)
You can also opt for using pdf2Data, an iText7 add-on that allows you to match documents against templates. pdf2Data seems like a good fit, since it produces XML files as its output.
More information on pdf2Data can be found here http://itextpdf.com/itext7/pdf2Data
Are there any PDF generators out there be it commercial or open source which can be used for research purposes? That i can use such as pdfnow.com or any standalone desktop apps which allow me to generate a PDF from a XML template. I have tried researching but there is allot of ambiguity going around.
Applidok is generating PDF based on an original (raw) PDF, a template definition and dynamic/user data (e.g. from a form): http://go.applidok.com/en/howitworks.gz.html
Template format there is JSON, not XML, but approach is the same.
I am writing an application that has to read and interpret data stored in some PDF files. The reading part is done but I am only able to get a dump of all the words on a page and not the format of the words. What I mean is that if I have to extract a table, I am getting the numbers in the table but not the markup which defines the table.
Further, there is some formatting used which displays a few of these numbers within parentheses (meaning that those numbers are negative) but the parentheses themselves are not part of the text. Hence, I am not able to distinguish between positive and negative numbers present in the PDF table!
How do you get the PDF markup along with the text? Is a PDF similar in structure to an XML with tags used to markup tables etc.? If not, then, is there a resource which describes the salient features of the PDF DOM?
I am using VBA and the Acrobat library (AcroExch etc.)
There is no such thing as "PDF markup" in the sense of HTML etc. A table in PDF cannot be distinguished from line art, other than by using OCR, which can be error-prone if the layout is complex. It is simply drawn using geometrical shapes, like in a vector-based graphics program.
"Is a PDF similar in structure to an XML with tags used to markup tables etc.?"
No, not at all.
And there is no such thing as a 'DOM' either. Google for a file named *PDF32000_2008.pdf*. The current PDF specification for v1.7 (ISO spec) is that file. You should be able to locate it on the Adobe website.
As omz stated, text inside PDF does not really have a structure. You can take a look on the specification here. However, for some very specific files, there is something called PDF Tags, or PDF Marked Content, which is fairly new, and it aims to give PDF documents some kind of structure. If you target this kind of files specifically, you might be able to achieve something. Take a look on chapter 10 (Document Interchange) of the Adobe's specification for further details.
Maybe what you want to achieve can be done with less effort and faster by using TET, the Text Extraction Toolkit made by the fine folks from pdflib.com ( http://www.pdflib.com/products/tet/ ) ??
AFAIR, the TET has some (limited) support for table detection as well....
I have some .doc binary files stored in my database and i would like to now search them all (without converting them to .doc) to see which one contains the word "hello" for instance.
Is there any way to do this search in the binary file?
You could go down the route of using commercial tools. Aspose.Words can load a document from a stream and has all sorts of methods for finding text within the document.
If you have the stream from the DB, then you code would look like this:
Aspose.Words.Document doc = new Aspose.Words.Document(streamObjectFromDatabase);
if (doc.GetText().ToLower().Contains("hello world"))
MessageBox.Show("Hello World exists");
Note: The benefit of this tool is that it does not require Word objects to be installed and it can work with streams in memory.
Not without a lot of pain, as far as I can tell. According to Wikipedia, Microsoft has within the past few years finally released the .doc specification. So you could create a parser based on the spec if you have the time, assuming all of your documents are in the same version of the .doc format.
Of course you could just search for the text you're looking for amid all the binary data, on the assumption that the actual text is stored as plain text. But even if that assumption were true, how could you be sure that the plain text you found was the actual document text, and not some of the document meta data that's also stored in plain text? And there's always the off chance that the binary data will match your text pattern.
If the Word libraries are available to you, I would go that route. If not, a homegrown parser may be your least bad option.
My objective is to extract the text and images from a PDF file while parsing its structure. The scope for parsing the structure is not exhaustive; I only need to be able to identify headings and paragraphs.
I have tried a few of different things, but I did not get very far in any of them:
Convert PDF to text. It does not work for me as I lose images and the structure of the document.
Convert PDF to HTML. I found a few tools that helped me with this, and the best one so far is pdftohtml. The tool is really good presentation wise, but I haven't been able to successfully parse the HTML.
Convert PDF to XML. Same as above.
Anyone has any suggestions on how to tackle this problem?
There is essentially not an easy cut-and-paste solution because PDF isn't really very interested in structure. There are many other answers on this site that will tell you things in much more detail, but this one should give you the main points:
If identifying text structure in PDF documents is so difficult, how do PDF readers do it so well?
If you want to do this in PDF itself (where you would have the majority of control over the process), you'll have to loop over all text on pages and identify headers by looking at their text properties (fonts used, size relative to the other text on the page, etc...).
On top of that you'll also have to identify paragraphs by looking at the positioning of text fragments, white space on the page, closeness of certain letters, words and lines... PDF by itself doesn't even have a concept for a "word", let alone "lines" or "paragraphs".
To complicate things even more, the way text is drawn on the page (and thus the order in which it appears in the PDF file itself) doesn't even have to be the proper reading order (or what us humans would consider to be proper reading order).
PDF parsing for headers and its sub contents are really very difficult (It doesn't mean its impossible ) as PDF comes in various formats. But I recently encountered with tool named GROBID which can helps in this scenario. I know it's not perfect but if we provide proper training it can accomplish our goals.
Grobid available as a opensource on github.
https://github.com/kermitt2/grobid
You may do use the following approach like this with iTextSharp or other open source libraries:
Read PDF file with with iTextSharp or similar open source tools and collect all text objects into an array (or convert PDF to HTML using the tool like pdftohtml and then parse HTML)
Sort all text objects by coordinates so you will have them all together
Then iterate through objects and check the distance between them to see if 2 or more objects can be merged into one paragraph or not
Or you may use the commercial tool like ByteScout PDF Extractor SDK that is capable of doing exactly this:
extract text and images along with analyzing the layout of the text
XML or CSV where text objects are merged or splitted into paragraphs inside a virtual layout grid
access objects via special API that makes it possible to address each object via its "virtual" row and column index disregarding how it is stored inside the original PDF.
Disclaimer: I am affiliated with ByteScout
PDF files can be parsed with tabula-py, or tabula-java.
I made a full tutorial on how to use tabula-py on this article. You can tabula in a web-browser too as long as you have installed Java.
Unless its is Marked Content, PDF does not have a structure.... You have to 'guess' it which is what the various tools are doing. There is a good blog post explaining the issues at http://blog.idrsolutions.com/2010/09/the-easy-way-to-discover-if-a-pdf-file-contains-structured-content/
As mentioned in the answers above, PDF's aren't very easy to parse. However, if you have certain additional information regarding the text that you want to parse, you can pull it off.
If your headings are positioned at specific parts of the page, you can parse the PDF file and sort the parsed output by coordinates.
If you have prior knowledge of the spacing between headings and paragraphs, you could also leverage this information to parse the file.
PDFBox is a PDF parsing tool that you can use for extracting text and images on top of which you can define your custom rules for parsing.
However, for parsing PDFs you need to have some prior knowledge of the general format of the PDF file. You can check out the following blogpost Document parsing for more information regarding document parsing.
Disclaimer:I was involved in writing the blogpost.
iText api:
PdfReader pr=new PdfReader("C:\test.pdf");
References:
PDFReader