Well, maybe it's not a viable solution, but Word document is a ZIP
file with a lot of plain text files inside, so if you know the format,
you can store the words the document contains.

The option I will implement would be sending the document, storing it
in datastore, enqueue a task to re-send it to my account of google
docs.+ Then you can use GData as before suggested to query words
through your documents. You can even store them in different
categories to simulate "filters".

On 16 feb, 22:44, theone <[email protected]> wrote:
> Do you mean that I cannot convert and store word document contents
> with google docs api in a cheap way?
>
> On 16 Şubat, 22:00, "Brandon Wirtz" <[email protected]> wrote:
>
>
>
>
>
>
>
> > You would need to convert the word doc to text so that it is searchable.  It
> > is not an issues of Storing, but conversion.  I believe there is enough
> > google docs API that you can upload to Docs, save to text or RTF (which you
> > could parse) and then search.
>
> > The timing all of these things may not work since each of the steps will
> > take several second, so you may find that you can't complete an operation
> > before GAE gives up, or that all that waiting burns through your budget
> > quickly.  
>
> > -----Original Message-----
> > From: [email protected]
>
> > [mailto:[email protected]] On Behalf Of theone
> > Sent: Wednesday, February 16, 2011 7:16 AM
> > To: Google App Engine
> > Subject: [google-appengine] Storing word document contents in
> > datastore(Python)
>
> > Hi,
>
> > I want to get word documents from users and keep their content in datastore
> > to make search in those.
> > I made lots of search on the internet but there are only solutions with
> > third party libraries such as open office api(to export word
> > documents) To use open office api, we need to install open office and we do
> > not have chance to install it to google app engine if I am not wrong.
>
> > Is there anyway to do that?
> > Thanks in advance.
>
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