I came across some odd characters in a PDF file. I tried to search to see if there were more, but Adobe Reader's search didn't even find the instance that I cut and pasted from to start the search. What?? I used both the Control-F search and the full Control-Shift-F search.
Can someone help me understand why I can't search for these characters?
The computer I'm using is Windows 7, 64 bit, US English locale settings.
The example text below should read "system's current state."
If it matters, I believe these odd characters are an artifact of Microsoft Word's "Smart Quotes". I can make them go away by not cutting and pasting from Word to the XSD/LaTex PDF generation tool my coworker set up. But I want to understand why Acrobat Reader won't let me find instances of them via search.
Related
I am trying to make a dynamic PDF generator as an .NET Core API. I want to take an existing PDF, or .docx file, and edit it so it replaces the current name (John Doe) with something that can be replaced like #NAME_PLACEHOLDER.
I then want to transform #NAME_PLACEHOLDER -> John Doe (or whatever is in the KeyValuePair or Dictionary<string, string>).
I am running this on a Docker environment, so I can easily execute commands and I am willing to do that as well.
So far I have tried a few things:
1) pdf2htmlEX
Executes as pdf2htmlEX file.pdf
Does the job pretty well
Can be converted back to PDF using Google Chrome headless or similar
Problem: Only the characters used in the PDF can be used to replace. So if I only use A, B, C as characters, it will make D into Times New Roman (or default font)
2) LibreOffice ODT to PDF
This was pretty nice, because I could simply unzip the .odt file, open content.xml, search and replace, then save it as an .odt file again
Could be converted into PDF rather easily using soffice --convert-to pdf
LibreOffice is quite nice
Problem 1: Microsoft Word -> Save as ODT tends to break the formatting, so we have to use LibreOffice to go and change it back again
Problem 2: We don't want to move away from Microsoft's Office suite
3) HTML to PDF using Chrome Headless
What you see is what you get
By far the best option, if we're all developers aaand have unlimited time
Problem 1: Only our developers can make changes, since our marketing department do not know HTML
Problem 2: Our existing PDFs would have to be rewritten in HTML
As you can see, I have tried a bunch of things. None of them, except Chrome Headless, has lived up to my expectations. What I really like about #3 is what you see is what you get. I can make the whole thing in HTML, press CTRL+P and see what it looks like as a finished PDF, basically.
I am looking for a better solution, though. It can be paid. It can be free. All I need is to change out words/phrases with other words dynamically, which apparently seems like a tough thing to do.
Thanks for specifying what you've already found clearly. It helps a lot providing a succinct answer.
The conversion is always tricky - I'm sure you know Word has trouble displaying/editing some Word documents itself.
I have experience regarding point #2 "LibreOffice ODT to PDF" and can suggest a few things to test:
Don't use Microsoft to do the docx->odt conversion. It's not good as you know. Use LibreOffice itself to do this step. The rest of your process remains the same.
For some documents, Libre Office does doc->odt much better. So, you can instead work with DOC format and get a better result without any other changes.
You won't be able to remove the devs from the process, but you can certainly reduce their role allowing your business/marketing teams to have more direct input simply by:
get the starting point document to the devs to run through the conversion process. The devs can "clean up" the document to make it convert nicely.
make this version of the document the "official" starting point. The business or technical teams can load it, adjust it, and put it back into the process.
if possible, expose a test-platform to the business teams so they can download, adjust, upload and render to PDF. This cycle means they will be able to achieve more and if they're good, do impressive stuff without any dev input.
the above steps simply mean don't expect perfect conversion of arbitrary complex documents. Starting from a (even complex) working baseline is great.
Some of that might show you that your #2 is actually going to get the best overall results.
I hope that helps.
I'm trying to create an index on a PDF file that I scanned as images from an old original manuscript, then put through character recognition in Adobe Acrobat Pro. The problem is some of the words were spaced funny so the OCR ended up with flaws. I used the find and fix suspects tool but there are still problems.
Case in point...
The text "FOR EXAMPLE" was spaced funny in the original document (and its image of course) so that Adobe reads it as three words "FOR EX AMPLE" which then results in an index entry for the word "ample" that looks perfectly valid if I did not know better. This is one of several similar problems with the document that I have identified so far (still more pages to proofread).
How can I fix the underlying OCR text so that it contains the correct information both in the created index and when searching the document.
PS: I cannot just switch to a pure OCR text version of the document since the manuscript is technical and has lots of drawings associated with the text. I need to keep the images and alter the "hidden" searchable text underneath.
I found this answer suggesting ABBYY FineReader 14 (commercial; I am not affiliated). It looks like it will handle the editing, after which I presume your existing workflow would take care of the indexing. Here is another answer giving some more workflow details (albeit three years ago).
Separately, this question has answers suggesting Perl's CAM::PDF and pdftk.
I just realized that FileSystem.FindInFiles reports success even if it finds the containsText within the document properties of a .pdf file. This is annoying because the end-user looks for the string in the document and does not find it (in this case, the string was only present in the Title field of the document properties).
Please let me know if there is a way around this problem.
Alternatively, can anyone recommend a reliable, fast search VB-compatible api/library/method to use on a windows fileshare?
I have to extract text from invoices and bills pdf files
The files layouts can get complex, though its mostly filled with tables.
I've read a few dozens articles already about the pdf format, how easy it is for our brain to grasp it and how hard it is for a machine to understand its structure.
Also downloaded a few tools like the python's pdfminer and some java tools, some even have rule based layout extraction, like LA-PDBtext these are all great libraries, leaving you the final step.
Adobe also has an online service called exportPdf but it can't be customized
Bottom line, I understand that in order to extract text from structured pdf files and convert it to XML for example, there should be some level of manual work.
I also found From Data Extractor, a non free tool with the ability to set extraction rules that claims to do the job, though its hard to find a proper manual and it runs only on windows.
I thought I may even try a to convert those files to images and try tesseract-ocr but decided to ask for advice here before I spend more time on it.
I'll be very grateful if someone with such experience give me a hint.
I've done a lot of PDF extraction and I can confirm as you've already discovered that it can be a painful process to start. One of the important things to understand is that there is no concept of "tables" within a PDF, just text that happens to have lines around it. Also, there's no guarantee that the linear order of text within the PDF code actually matches the visual order when printed. In other words, there's no guarantee that "hello world" is written in that order, it could be draw 'word' at coord 20 then draw 'hello' at coord 10. Most PDF creators don't do this but still there's no guarantee. The more creative a PDF creator is (InDesign, Illustrator, etc) the more likely the text is going to be harder to get out. And actually, once a designer starts messing with fonts too much some programs will sometimes actually output words one character at a time, changing the font just slightly each time.
That said, I'd recommend the first one that you looked at, LA-PDFText. You can run it in discovery mode (blockify) from which you can create rules. I don't have Java installed anymore so I can't test it but it seems very promising.
Your second one, A-PDF Form Data Extractor, only really works with actual PDF forms. If this is your case I'd recommend just using an open source solution like iText/iTextSharp.
The last OCR one makes me cringe. I just can't imagine going through those hoops would get you better text representation than parsing the PDF. But then again, PDF is a visual format so maybe it would.
Personally I use iText/iTextSharp for this kind of thing but I also like to do things the hard way.
It is not clear if you are looking for the development tool to automate the data extraction from bills and invoices or just for the one time tool (utility) that can be used by the non-developer?
Anyway here are some specialized tools including engines they use:
Tabula (open-source, especially designed to extract data from tables in PDF. Can export shell scripts for batch processing, runs as the localhost web service, powered by JRuby Tabula engine)
Viet OCR (open-source .NET desktop utility for text extraction from PDF and images, based on tesseract oct engine)
Bytescout PDF Viewer (freeware closed source .NET utility, detects and extracts tables, including scanned invoices, powered by PDF Extractor SDK)
DISCLAIMER: I work for ByteScout.
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.