My colleagues Eric Pugh and Dan Worley covered OCR and Solr in a
presentation at our recent London Lucene/Solr Meetup:
https://www.meetup.com/Apache-Lucene-Solr-London-User-Group/events/264579498/
(direct link to slides if you can't find it in the comments
https://www.slideshare.net/o19s/payload
Hello, thanks for answer, but let me explain the setup. We are running our
own backup solution for emails (messages from Exchange in MSG format).
Content of these messages then indexed in SOLR. But SOLR can not process
attachments within those MSG files, can not OCR them. This is what I need -
to O
rg
> Subject: Re: Using Tesseract OCR to extract PDF files in EML file attachment
>
> AJ Weber wrote
> > There are alternative, paid, libraries to parse and extract attachments
> > from EML files as well
> > EML attachments will have a mimetype associated with their metadat
AJ Weber wrote
> There are alternative, paid, libraries to parse and extract attachments
> from EML files as well
> EML attachments will have a mimetype associated with their metadata.
Hello, can you give a hint what are those commercial libraries that would do
the job? We need to index MSG files
You'll need to use something like javax mail (or some of the jars that
have been built on top of it for higher-level access) to open the EML
files and extract the attachments, then operate on the extracted
attachments as you would any file.
There are alternative, paid, libraries to parse and e
Tesseract prolly knows nothing of the EML format. Your scripts could pull EML's
apart.
On April 4, 2017 2:00:19 AM EDT, Zheng Lin Edwin Yeo
wrote:
>Hi,
>
>Currently, I am able to extract scanned PDF images and index them to
>Solr
>using Tesseract OCR, although the speed is very slow.
>
>However
Hi,
Currently, I am able to extract scanned PDF images and index them to Solr
using Tesseract OCR, although the speed is very slow.
However, for EML files with PDF attachments that consist of scanned images,
the Tesseract OCR is not able to extract the text from those PDF
attachments.
Can we use
