[c#] How to implement and do OCR in a C# project?

I ve been searching for a while and all that i ve seen some OCR library requests. I would like to know how to implement the purest, easy to install and use OCR library with detailed info for installation into a C# project.

If posible, I just wanna implement it like a usual dll reference...

Example:

using org.pdfbox.pdmodel;
using org.pdfbox.util;

Also a little OCR code example would be nice, such as:

public string OCRFromBitmap(Bitmap Bmp)
{
    Bmp.Save(temppath, System.Drawing.Imaging.ImageFormat.Tiff);
    string OcrResult = Analyze(temppath);
    File.Delete(temppath);
    return OcrResult;
}

So please consider that I'm not familiar to OCR projects and give me an answer like talking to a dummy.

Edit: I guess people misunderstood my request. I wanted to know how to implement those open source OCR libraries to a C# project and how to use them. The link given as dup is not giving answers that I requested at all.

I'm using tesseract OCR engine with TessNet2 (a C# wrapper - http://www.pixel-technology.com/freeware/tessnet2/).

Some basic code:

using tessnet2;

...

Bitmap image = new Bitmap(@"u:\user files\bwalker\2849257.tif");
            tessnet2.Tesseract ocr = new tessnet2.Tesseract();
            ocr.SetVariable("tessedit_char_whitelist", "0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz.,$-/#&=()\"':?"); // Accepted characters
            ocr.Init(@"C:\Users\bwalker\Documents\Visual Studio 2010\Projects\tessnetWinForms\tessnetWinForms\bin\Release\", "eng", false); // Directory of your tessdata folder
            List<tessnet2.Word> result = ocr.DoOCR(image, System.Drawing.Rectangle.Empty);
            string Results = "";
            foreach (tessnet2.Word word in result)
            {
                Results += word.Confidence + ", " + word.Text + ", " + word.Left + ", " + word.Top + ", " + word.Bottom + ", " + word.Right + "\n";
            }

Here's one: (check out http://hongouru.blogspot.ie/2011/09/c-ocr-optical-character-recognition.html or http://www.codeproject.com/Articles/41709/How-To-Use-Office-2007-OCR-Using-C for more info)

using MODI;
static void Main(string[] args)
{
    DocumentClass myDoc = new DocumentClass();
    myDoc.Create(@"theDocumentName.tiff"); //we work with the .tiff extension
    myDoc.OCR(MiLANGUAGES.miLANG_ENGLISH, true, true);

    foreach (Image anImage in myDoc.Images)
    {
        Console.WriteLine(anImage.Layout.Text); //here we cout to the console.
    }
}

Some online API's work pretty well: ocr.space and Google Cloud Vision. Both of these are free, as long as you do less than 1000 OCR's per month. You can drag & drop an image to do a quick manual test to see how they perform for your images.

I find OCR.space easier to use (no messing around with nuget libraries), but, for my purpose, Google Cloud Vision provided slightly better results than OCR.space.

Google Cloud Vision example:

GoogleCredential cred = GoogleCredential.FromJson(json);
Channel channel = new Channel(ImageAnnotatorClient.DefaultEndpoint.Host, ImageAnnotatorClient.DefaultEndpoint.Port, cred.ToChannelCredentials());
ImageAnnotatorClient client = ImageAnnotatorClient.Create(channel);
Image image = Image.FromStream(stream);

EntityAnnotation googleOcrText = client.DetectText(image).First();
Console.Write(googleOcrText.Description);

OCR.space example:

string uri = $"https://api.ocr.space/parse/imageurl?apikey=helloworld&url={imageUri}";
string responseString = WebUtilities.DoGetRequest(uri);
OcrSpaceResult result = JsonConvert.DeserializeObject<OcrSpaceResult>(responseString);
if ((!result.IsErroredOnProcessing) && !String.IsNullOrEmpty(result.ParsedResults[0].ParsedText))
  return result.ParsedResults[0].ParsedText;