Preparing content for recognition
Aspose.OCR for .NET provides a versatile way to prepare your content for OCR. A package of recognized files/folders/URLs, regardless of their number and type, is constructed as an instance of the Aspose.OCR.OcrInput
class. With this approach, you can easily process a single image or a large number of images from an auto-feed scanner in a single API call.
The object constructor takes the type of the provided content and optional processing filters that will be applied to all images in a batch.
Supported content types
You can only pack sources of the same type into one instance of the Aspose.OCR.OcrInput
class. The type is specified in the constructor and cannot be changed later.
Source content type | Supported file formats |
---|---|
Aspose.OCR.InputType.SingleImage |
One or more GIF, PNG, JPEG, BMP, or single-page TIFF images. The images can be provided by their absolute or relative paths, as MemoryStream objects, or as arrays of pixels.You can add images of different types in a single batch. |
Aspose.OCR.InputType.PDF |
One or more PDF documents, containing scanned pages. The files can be provided by their absolute or relative paths or as MemoryStream objects. |
Aspose.OCR.InputType.TIFF |
One or more multi-page TIFF images. The files can be provided by their absolute or relative paths or as MemoryStream objects. |
Aspose.OCR.InputType.DJVU |
One or more DjVu files, provided by their absolute or relative paths or as MemoryStream objects. |
Aspose.OCR.InputType.URL |
One or more web links to GIF, PNG, JPEG, BMP, or single-page TIFF images. Aspose.OCR for .NET will download them automatically before processing. Limitations:
|
Aspose.OCR.InputType.Directory |
Absolute or relative paths to one or more folders containing GIF, PNG, JPEG, BMP, or single-page TIFF images. Unless specifically configured, all nested images will be recognized. Subfolders and nested archives will not be processed! |
Aspose.OCR.InputType.Zip |
Absolute or relative paths to one or more ZIP archives containing GIF, PNG, JPEG, BMP, or single-page TIFF images. Unless specifically configured, all archived images will be recognized. Nested archives and folders will not be processed! |
Aspose.OCR.InputType.Base64 |
One or more GIF, PNG, JPEG, BMP, or single-page TIFF images provided as Base64-encoded strings. |
Adding source content
To manage a batch of images, scanned PDFs, URLs, folders, and other OCR content, use the following methods of the Aspose.OCR.OcrInput
class:
Method | Description |
---|---|
Add(string) |
Add an absolute or relative path to a file/folder, or a URL to an image file on the web. |
Add(string, int, int) |
Add an absolute or relative path to a multi-page image, PDF document, ZIP archive or folder, specifying the images/pages for recognition. |
Add(MemoryStream) |
Add a MemoryStream object, containing a file to be recognized. |
Add(MemoryStream, int, int) |
Add a MemoryStream object, containing a milti-page image, PDF document, or ZIP archive, specifying the images/pages for recognition. |
Add(Color[], int, int) |
Add an image provided as an array of pixels. You must specify the width and height. |
Add(byte[], int, int, PixelType) |
Add an image provided as an array of pixels. You must specify the width, height and color model. |
AddBase64(string) |
Add an image encoded as Base64 string. |
To get the number of items in the batch, use Count()
method of the Aspose.OCR.OcrInput
class.
Removing source content
To clear a batch, use Clear()
or Dispose()
methods of the Aspose.OCR.OcrInput
class.
Applying image processing filters
The accuracy and reliability of text recognition is highly dependent on the quality of the original image. Aspose.OCR for .NET offers a large number of fully automated and manual image processing filters that enhance an image before it is sent to the OCR engine.
To apply processing filters to all images in the batch, provide them in the Aspose.OCR.OcrInput
object constructor, or later using ReplaceFilters()
method.
To remove all processing filters from a batch, use ClearFilters()
method of the Aspose.OCR.OcrInput
class.
Examples
The following code samples demonstrates how to prepare content for recognition: