Open Source Document Management System | OpenKM

Hello, I have a problem with the text extractor from OpenKM (CE) not extracting the text from any PDF correctly. But it process all of them correctly (checked from Administration panel).

As an example, this is one of the documents that was successfully analyzed by OCR, but the 'NDC_TEXT' column does not have any content actually.



The PDF (from above), and the other ones I have uploaded to OpenKM, are all OCR compatible and fully searchables.

I left as default the list of all included text extractor (registered.text.extractors): And also, left without anyvalue the system.ocr. But I have tried adding tesseract (value=/usr/bin/tesseract ${fileIn} ${fileOut} -l spa), but as this is used for images, I disabled that field again (it didn't extract any text from the test I have made).

Any ideas?

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Some useful information:
- Docker installation (v6.3.11).

Go to administration > tools > check text extractor -> check if from there the application extract the text
https://docs.openkm.com/kcenter/view/ok ... ction.html

Already checked, forgot to mention it.

After telling the UUID, path and uploading it, nothing is shown. Just the grid below but without any value set.

The text extractor seems to be: com.openkm.extractor.AbbyTextExtractor, as shown there.

* The test extractor used should be tesseract.
* Ensure system.ocr is right configured ( check tesseract from command line )
* Restart OpenKM and try again with Check text extractor in the administration

If it does not work, share some screenshots :
* system.ocr configuration screen
* administration check text extration screen
* the document are trying to process from administration > check text extraction

The OCR is now working properly.

I just needed to, as you suggested to me:
1. Configure 'tesseract' as the primary OCR tool. (system.ocr)
2. Install missing language pack for 'spanish', as I thought it was already installed/included during installation of OpenKM.

Solved. And thanks again!

in case of tesseract 4 you use several dictionaries with parameter -l eng+spa ( the ocr engine try to identify the language of the document and apply one of the selected dictionaries )