Aspose.OCR: extract Text from nonsearchable PDF's not working properly

Aspose.OCR Product Family
1

Hello support team

We want to convert “non-searchable PDF’s” into “searchable PDF’s” with the help of Aspose.OCR (see Sample_Doc.pdf in the attachment).

In our solution we get a black content after the conversion with Aspose.OCR and the content of the PDF is completely destroyed and no longer usable for the customer. (See not_wanted_result.pdf in the attachment)

I have checked the same PDF with Aspose Cloud solution at “OCR Online. Convert PDF to Searchable PDF” and get only a part as OCR (see Aspose_Cloud_result.jpg in the attachment).

I have tested the same PDF with the mentioned sample under “GitHub - aspose-ocr/Aspose.OCR-for-.NET: Aspose.OCR for .NET examples, plugins and showcase projects” as an application and get no text at all, although the conversion is successful and shows no error (see Aspose_App_Result.jpg in the attachment).

Are you aware of such a case?
What do we have to do so that if it cannot read and convert the content, we catch the error or empty content and do not pass on a corrupt document and simply leave the original as it is.

Customer_Attachments.zip (1.0 MB)

Thanks in advance for a possible solution or answer
Best regards

2

@hasanirmak

We have opened the following new ticket(s) in our internal issue tracking system and will deliver their fixes according to the terms mentioned in Free Support Policies.

Issue ID(s): OCRNET-827

You can obtain Paid Support Services if you need support on a priority basis, along with the direct access to our Paid Support management team.

3

Hello Support Team
Thank you for opening the ticket.
Has anything changed in the meantime or have you been able to reproduce the problem?

Best Regards

4

@hasanirmak

The issue has been resolved while using below code with 24.4 version. Results are also attached:

OcrInput input = new OcrInput(InputType.PDF, filter);
string imgPath = @"D:\imgs\ISSUES\NET827\Sample_Doc.pdf";
input.Add(imgPath);
List<RecognitionResult> result = api.Recognize(input, new RecognitionSettings
{
  DetectAreasMode = DetectAreasMode.TABLE
});

result.zip (610.4 KB)