I have a c# method that writes a custom value for given pdf file. In order to write a custom value for a pdf, I am using PdfSharp 1.50.5147
The problem here is PdfReader.Open waits too long for the pdf belove :
https://www.mouser.com.tr/catalog/English/103/dload/pdf/mouser.pdf
public bool WritePropertyToFile(string filePath, string extension, string key, string value)
{
try
{
document = PdfReader.Open(filePath); //Here it lasts 2.5 minutes !!
var properties = document.CustomValues.Elements;
properties.SetString("/" + key, value);
document.Save(filePath);
document = null;
return true;
}
catch (Exception)
{
if (document != null)
document = null;
throw;
}
}
My requirement is to write and read custom values in miliseconds for a given file. Although lots of pdf files' custom values can be written and read in miliseconds, some of the files such as this one may cause problems for me.
Do I need to open whole document for writing or reading a custom value? Is there a different technique for this? Do you have suggestion for this problem?
Currently, there is no method to open, in this case, large pdf's quickly in PdfSharp due to the fact that PdfSharp first loads the entire pdf in memory. The pdf you're trying to open is a whopping 168MB file.
You may extend PdfSharp and try to load the trailer contents first and then read each block of contents according to trailer entries.
Related
How can I convert a byte[] of an Office document (.doc, .docx, .xlsx, .pptx) to a byte[] of a PDF document assuming Office is installed and Microsoft.Office.Interop is used?
I fetch the files' byteArray from the database as well as their name.
I would like to first convert each file to a PDF and then combine all of the PDFs to one single PDF using PDFSharp (this part is already implemented).
Code:
foreach (Entity en in res.Entities)
{
byte[] fileByteArray = Convert.FromBase64String(en.GetAttributeValue<string>("documentbody"));
string fileName = en.GetAttributeValue<string>("filename");
string extension = fileName.Split('.')[1];
switch(extension)
{
case "doc":
case "docx":
byteArr.Add(ConvertWordToPdf(fileName, fileByteArray)); break;
case "xlsx":
byteArr.Add(ConvertExcelToPdf(fileName, fileByteArray)); break;
}
}
The problem is I'm not too sure how to implement these two methods.
I tried using the following code:
private byte[] ConvertWordToPdf(string fileName, byte[] fileByteArray)
{
string tmpFile = Path.GetTempFileName();
File.WriteAllBytes(tmpFile, fileByteArray);
Microsoft.Office.Interop.Word.Application app = new Microsoft.Office.Interop.Word.Application();
Document doc = app.Documents.Open(tmpFile);
// Save Word doc into a PDF
string pdfPath = fileName.Split('.')[0] + ".pdf";
doc.SaveAs2(pdfPath, Microsoft.Office.Interop.Word.WdSaveFormat.wdFormatPDF);
doc.Close();
app.Quit();
byte[] pdfFileBytes = File.ReadAllBytes(pdfPath);
File.Delete(tmpFile);
return pdfFileBytes;
}
But it saves the file to disk and that's something I would like to avoid. Is doing the same operation without saving to disk possible?
If you check the documentation for Documents.Open there is no mentioning of opening a document directly from a stream. This is unfortunately an all to common problem in libraries. But there might be other libraries you could use that allow this.
I would not expect saving to a file to be a major performance issue since the conversion will probably be the dominating factor. But it might cause permission issues if your program is running in a very restrictive environment.
If you are keeping the file save method you should add some exception handling to ensure the temporary files are deleted even if an exception occurs. I have also seen issues where external programs release the file locks after some time, so it might be useful to try to delete the file multiple times.
Is there an API to use Onenote OCR capabilities to recognise text in images automatically?
If you have OneNote client on the same machine as your program will execute you can create a page in OneNote and insert the image through the COM API. Then you can read the page in XML format which will include the OCR'ed text.
You want to use
Application.CreateNewPage to create a page
Application.UpdatePageContent to insert the image
Application.GetPageContent to read the page content and look for OCRData and OCRText elements in the XML.
OneNote COM API is documented here: http://msdn.microsoft.com/en-us/library/office/jj680120(v=office.15).aspx
When you put an image on a page in OneNote through the API, any images will automatically be OCR'd. The user will then be able to search any text in the images in OneNote. However, you cannot pull the image back and read the OCR'd text at this point.
If this is a feature that interests you, I invite you to go to our UserVoice site and submit this idea: http://onenote.uservoice.com/forums/245490-onenote-developers
update: vote on the idea: https://onenote.uservoice.com/forums/245490-onenote-developer-apis/suggestions/10671321-make-ocr-available-in-the-c-api
-- James
There is a really good sample of how to do this here:
http://www.journeyofcode.com/free-easy-ocr-c-using-onenote/
The main bit of code is:
private string RecognizeIntern(Image image)
{
this._page.Reload();
this._page.Clear();
this._page.AddImage(image);
this._page.Save();
int total = 0;
do
{
Thread.Sleep(PollInterval);
this._page.Reload();
string result = this._page.ReadOcrText();
if (result != null)
return result;
} while (total++ < PollAttempts);
return null;
}
As I will be deleting my blog (which was mentioned in another post), I thought I should add the content here for future reference:
Usage
Let's start by taking a look on how to use the component: The class OnenoteOcrEngine implements the core functionality and implements the interface IOcrEngine which provides a single method:
public interface IOcrEngine
{
string Recognize(Image image);
}
Excluding any error handling, it can be used in a way similar to the following one:
using (var ocrEngine = new OnenoteOcrEngine())
using (var image = Image.FromFile(imagePath))
{
var text = ocrEngine.Recognize(image);
if (text == null)
Console.WriteLine("nothing recognized");
else
Console.WriteLine("Recognized: " + text);
}
Implementation
The implementation is far less straight-forward. Prior to Office 2010, Microsoft Office Document Imaging (MODI) was available for OCR. Unfortunately, this no longer is the case. Further research confirmed that OneNote's OCR functionality is not directly exposed in form of an API, but the suggestions were made to manually parse OneNote documents for the text (see Is it possible to do OCR on a Tiff image using the OneNote interop API? or need a document to extract text from image using onenote Interop?. And that's exactly what I did:
Connect to OneNote using COM interop
Create a temporary page containing the image to process
Show the temporary page (important because OneNote won't perform the OCR otherwise)
Poll for an OCRData tag containing an OCRText tag in the XML code of the page.
Delete the temporary page
Challenges included the parsing of the XML code for which I decided to use LINQ to XML. For example, inserting the image was done using the following code:
private XElement CreateImageTag(Image image)
{
var img = new XElement(XName.Get("Image", OneNoteNamespace));
var data = new XElement(XName.Get("Data", OneNoteNamespace));
data.Value = this.ToBase64(image);
img.Add(data);
return img;
}
private string ToBase64(Image image)
{
using (var memoryStream = new MemoryStream())
{
image.Save(memoryStream, ImageFormat.Png);
var binary = memoryStream.ToArray();
return Convert.ToBase64String(binary);
}
}
Note the usage of XName.Get("Image", OneNoteNamespace) (where OneNoteNamespace is the constant "http://schemas.microsoft.com/office/onenote/2013/onenote" ) for creating the element with the correct namespace and the method ToBase64 which serializes an GDI-image from memory into the Base64 format. Unfortunately, polling (See What is wrong with polling? for a discussion of the topic) in combination with a timeout is necessary to determine whether the detection process has completed successfully:
int total = 0;
do
{
Thread.Sleep(PollInterval);
this._page.Reload();
string result = this._page.ReadOcrText();
if (result != null)
return result;
} while (total++ < PollAttempts);
Results
The results are not perfect. Considering the quality of the images, however, they are more than satisfactory in my opinion. I could successfully use the component in my project. One issue remains which is very annoying: Sometimes, OneNote crashes during the process. Most of the times, a simple restart will fix this issue, but trying to recognise text from some images reproducibly crashes OneNote.
Code / Download
Check out the code at GitHub
not sure about OCR, but the documentation site for onenote API is this
http://msdn.microsoft.com/en-us/library/office/dn575425.aspx#sectionSection1
Is there an API to use Onenote OCR capabilities to recognise text in images automatically?
If you have OneNote client on the same machine as your program will execute you can create a page in OneNote and insert the image through the COM API. Then you can read the page in XML format which will include the OCR'ed text.
You want to use
Application.CreateNewPage to create a page
Application.UpdatePageContent to insert the image
Application.GetPageContent to read the page content and look for OCRData and OCRText elements in the XML.
OneNote COM API is documented here: http://msdn.microsoft.com/en-us/library/office/jj680120(v=office.15).aspx
When you put an image on a page in OneNote through the API, any images will automatically be OCR'd. The user will then be able to search any text in the images in OneNote. However, you cannot pull the image back and read the OCR'd text at this point.
If this is a feature that interests you, I invite you to go to our UserVoice site and submit this idea: http://onenote.uservoice.com/forums/245490-onenote-developers
update: vote on the idea: https://onenote.uservoice.com/forums/245490-onenote-developer-apis/suggestions/10671321-make-ocr-available-in-the-c-api
-- James
There is a really good sample of how to do this here:
http://www.journeyofcode.com/free-easy-ocr-c-using-onenote/
The main bit of code is:
private string RecognizeIntern(Image image)
{
this._page.Reload();
this._page.Clear();
this._page.AddImage(image);
this._page.Save();
int total = 0;
do
{
Thread.Sleep(PollInterval);
this._page.Reload();
string result = this._page.ReadOcrText();
if (result != null)
return result;
} while (total++ < PollAttempts);
return null;
}
As I will be deleting my blog (which was mentioned in another post), I thought I should add the content here for future reference:
Usage
Let's start by taking a look on how to use the component: The class OnenoteOcrEngine implements the core functionality and implements the interface IOcrEngine which provides a single method:
public interface IOcrEngine
{
string Recognize(Image image);
}
Excluding any error handling, it can be used in a way similar to the following one:
using (var ocrEngine = new OnenoteOcrEngine())
using (var image = Image.FromFile(imagePath))
{
var text = ocrEngine.Recognize(image);
if (text == null)
Console.WriteLine("nothing recognized");
else
Console.WriteLine("Recognized: " + text);
}
Implementation
The implementation is far less straight-forward. Prior to Office 2010, Microsoft Office Document Imaging (MODI) was available for OCR. Unfortunately, this no longer is the case. Further research confirmed that OneNote's OCR functionality is not directly exposed in form of an API, but the suggestions were made to manually parse OneNote documents for the text (see Is it possible to do OCR on a Tiff image using the OneNote interop API? or need a document to extract text from image using onenote Interop?. And that's exactly what I did:
Connect to OneNote using COM interop
Create a temporary page containing the image to process
Show the temporary page (important because OneNote won't perform the OCR otherwise)
Poll for an OCRData tag containing an OCRText tag in the XML code of the page.
Delete the temporary page
Challenges included the parsing of the XML code for which I decided to use LINQ to XML. For example, inserting the image was done using the following code:
private XElement CreateImageTag(Image image)
{
var img = new XElement(XName.Get("Image", OneNoteNamespace));
var data = new XElement(XName.Get("Data", OneNoteNamespace));
data.Value = this.ToBase64(image);
img.Add(data);
return img;
}
private string ToBase64(Image image)
{
using (var memoryStream = new MemoryStream())
{
image.Save(memoryStream, ImageFormat.Png);
var binary = memoryStream.ToArray();
return Convert.ToBase64String(binary);
}
}
Note the usage of XName.Get("Image", OneNoteNamespace) (where OneNoteNamespace is the constant "http://schemas.microsoft.com/office/onenote/2013/onenote" ) for creating the element with the correct namespace and the method ToBase64 which serializes an GDI-image from memory into the Base64 format. Unfortunately, polling (See What is wrong with polling? for a discussion of the topic) in combination with a timeout is necessary to determine whether the detection process has completed successfully:
int total = 0;
do
{
Thread.Sleep(PollInterval);
this._page.Reload();
string result = this._page.ReadOcrText();
if (result != null)
return result;
} while (total++ < PollAttempts);
Results
The results are not perfect. Considering the quality of the images, however, they are more than satisfactory in my opinion. I could successfully use the component in my project. One issue remains which is very annoying: Sometimes, OneNote crashes during the process. Most of the times, a simple restart will fix this issue, but trying to recognise text from some images reproducibly crashes OneNote.
Code / Download
Check out the code at GitHub
not sure about OCR, but the documentation site for onenote API is this
http://msdn.microsoft.com/en-us/library/office/dn575425.aspx#sectionSection1
I'm trying to create an add-in in C# for MS Word 2010 that will add a new ribbon and a click event-handler. This click event-handler should save the active file in c:\temp, for example. And then I need to load the file content into a byte array.
Probably something like this:
public void ClickEventHandler(Office.IRibbonControl control)
{
string fileLocation = "c:\temp\test.docx";
Word.Document document = this.Document;
document.SaveAs(fileLocation);
byte[] byteArray = File.ReadAllBytes(fileLocation);
}
The point is, this is pseudo-code and I don't know how to load an active document into a byte array. If there is a way without saving the document it would be even better.
And a query if the active file is a docx (and not a doc file) would be nice as well.
Word.Document document = Globals.ThisAddIn.Application.ActiveDocument;
document.SaveAs2(goldenpath + "\\" + name + "." + id + ".docx");
document.Close();
I use this generic function in my program to serialize arbitrary objects to a byte array:
private byte[] MakeByteSize<U>(U obj)
{
if (obj == null) return null;
var bf = new System.Runtime.Serialization.Formatters.Binary.BinaryFormatter();
var ms = new System.IO.MemoryStream();
bf.Serialize(ms, obj);
return ms.ToArray();
}
Edit:
After reading your additional content, I'm confident that serializing the Word.Document object won't get you what you need, since the byte array representing that object in the program (which is probably a wrapper around some COM interop) won't be the same as the byte array representing the information stored in the file about the document.
Looking at the MSDN article you referenced, it looks like what we really need is a WordprocessingDoc instance representing the document that we can pass to the HtmlConverter class. So I think the question you really want to ask is "How can I create a DocumentFormat.OpenXml.Packaging.WordprocessingDocument from an open document without saving the file first?"
Unforunately, I'm not sure that's possible since I'm not really spotting any methods on that class that would do that.
On the .doc vs .docx issue, the Open XML SDK for Microsoft Office says that it works with documentat that adhere to the "Office Open XML File Formats Specification" which I believe means it will only work with the .docx file format. You might have to try a different route on this, like exporting to PDF perhaps. Good luck!
I am basically creating a xlsx file but I am getting an error while using that file like below.
System.IO.FileFormatException: Archive file cannot be size 0.
The way I tried.
string file = "c:\\DoneDone61.xlsx";
using(File.Create(file))
{
}
Also I cannot open excel file manually because it says the file is corrupted.
Thanks for answers in advance.
An Excel file which you consider to be "blank" is not just a file with no data in it (which is what you are creating). You can see this yourself by creating a document manually in Excel and then opening it in notepad. You'll notice that it actually has data inside of it. That data is used to store information regarding the three empty sheets named "Sheet1", "Sheet2" and "Sheet3". Also, there is some header information so that any program looking at the file knows that it is actually a compressed file (as per the Excel file format). So, as you can see, even a pretty empty excel file still contains SOME data.
If you want to create a blank excel document using C#, you have two good options:
Use a library that allows you to actually work with creating Excel documents that takes care of creating the file correctly. Check out something like the Microsoft OpenXML SDK or ExcelPackage.
Create an empty Excel document, store it somewhere, and when you want to "create" a new empty Excel document, just make a copy of this file.
This one ...
using(File.Create(filePath))
{
}
... creates an empty file. Read: really empty (=> 0 bytes) not an empty XLSX with an XLSX skeleton: ZIP container, file header, style definitions, ....
What exactly did you expect?
EDIT:
If you want to create an empty XLSX file (like "Right Click on Mouse > New > New Microsoft Excel"), you have to use such an template, ... and write it onto the disk.
To achieve that, you have to deploy this template file with your application, and then do a File.Copy(source, dest), or integrate it as a resource and write the resource content to the disk.
What you need to use is Interop.Excel namespace. Here's a guide from msdn
please use this...Its a bit hacky but couldn't get a better way to do this using InterOp
public static void CreateEmptyXLSXFile(string FilePath)
{
FileStream MyStream = new FileStream(FilePath, FileMode.CreateNew, FileAccess.ReadWrite);
MyStream.Write(ExcelDocumentsInterOps.GetEmptyXSLXFileBytes(), 0, ExcelDocumentsInterOps.GetEmptyXSLXFileBytes().Length);
MyStream.Flush();
MyStream.Close();
MyStream.Dispose();
MyStream = null;
}
/// <summary>
/// Returns the bytes for an empty xslx file
/// </summary>
/// <returns></returns>
public static byte[] GetEmptyXSLXFileBytes()
{
string TheSting = "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return Convert.FromBase64String(TheSting);
}
When dealing with spreadsheet related tasks in .NET, you can use this open source library called SpreadsheetLight to write an excel file (especially, if you want to write content at some point).
If you prefer adding it as package via Nuget, you can say:
Install-Package SpreadsheetLight
After that, going by GenerateReport() exmaple:
// this one creates an empty workbook
using (SLDocument sl = new SLDocument())
{
// sl.SetCellValue("B3", "I love ASP.NET MVC");
sl.SaveAs("c:\\DoneDone61.xlsx");
}
Also see their tutorial for more interesting stuff.