I have 2 sets of PDFs like below
The column changed for every pdf, I checked with document understanding, read pdf text, read pdf text with ocr and screen scrapping not working properly.
For using read pdf text, i got the output below
I need to get the table with spaces(emplty cells), how can i get this?
There are tools & APIs available that offer swift PDF data extraction to Excel. Some of them are integrated with UiPath which opens a wider range of activities that can be performed.
UiPath integrations can be easily set up to extract data automatically. They can also merge with other integrations for a more sophisticated task.
Here’s a tutorial explaining how to extract PDF data using UiPath integration. That is how you can either extract a single PDF document or choose a few pages or even a specific area in the PDF file. The output can be done in Excel or CSV with further configurations available.
Find a more detailed explanation below.
How to Convert PDF to CSV with UiPath - PDF.co
Learn how you can convert PDF to CSV with UiPath and PDF.co extension. Check out the detailed tutorial and video demos.
https://pdf.co/pdf-to-csv-with-uipath
Related
I need help creating a solution that would help me resolve PDF text replacement. We hired a programmer that tried to achieve our objective with a python-coded app but failed.
Our project hopes to automate these steps:
Get a folder with pdf documents
In Each document, we need to find particular text (usually in the upper third of the page). The information can be on multiple pages.
Hide/erase/ and replace the text with different information that we would pull from excel or SQL database. Make sure that the text is replaced on all occasions.
Next, rename the document based on the assigned doc name (pulled from excel or SQL).
Have a report of all documents that were processed and when the new version was and was not created.
Keep the original document saved for review and comparison.
I am happy to provide the original code from the developers if necessary, but it did not work...
Thank you for your help, community!
I have a Notes app that was designed for the browser, not the client. It allowed upload of files into the documents, so nearly all the documents have files. The files are stored in the NSF as $FILE and displayed in the documents as links.
I am using Adobe Acrobat Pro to create PDFs from the documents and need to include the file attachments within the PDFs, however the PDFs just include links to the files, not the attachments. Can I write an agent to run against the documents to get those files and embed them within the documents? When I view those documents through the client, I see all of the HTML etc. and then at the bottom of the document, the file attachments appear. When I view these same documents in the browser, the file attachments do not appear. If I could merely ensure that they are there, then when running the PDF generator in Acrobat Pro, they would be included in the PDFs and executable.
I am really stuck here, with no other way to 'archive' this notes database with all the data intact.
Thanks in advance for any insights!!
Ginni
There is a commercial product from Swing Software that does this. I hear that it's quite good, but I've never used it. Let me explain why...
The way I usually end up doing this is just quick-and-dirty. I write an agent to export the files, using the document UNID as part of the filename. The same agent exports all the data fields from the document into a CSV file, and I add a column with the filename of the extracted attachment. In your case, I would add two columns -- one for the extracted attachment(s), and one for the generated PDF. The CSV serves as an index for the exported data. It can be imported into something more friendly, or just left as-is and brought up in Excel, depending on the customer's usage requirements and available systems. I've recommended Swing Software's product and offered to explore other ideas for developing code (e.g., using wkhtmltopdf for Domino web apps to capture a WYSIWYG rendering based on an HTML crawl) for PDF rendering of Notes documents for a couple of clients, but none of them have justified the cost that would be involved in buying licenses and/or writing the code. Quick and dirty always seems to win, even when there are retention and eDiscovery considerations taken into account.
I'm building a tool in Google App Scripts that compares an original pdf form (with blank fillable fields - no OCR should be necessary) to the completed field. Both documents are stored in the same google drive.
My general strategy is as follows:
Parse blank pdf form into an array of rows
Parse completed pdf form into an array of rows
Compare to find differences (the values that got filled in).
I'm using mogsdad's Apps Script pdfToText utility, which was successfully able to parse the blank form perfectly. The problem I've run into is that when I try to parse a completed form, all of the data in the fillable fields gets lost.
I've established that the loss of information happens at the following line in the code:
var gdocFile = Drive.Files.insert(resource, pdfFile, insertOpts);
When the pdf data is saved as a gdoc, any data in a fillable field goes missing.
I have established that if I open the pdf in DocHub or similar and save a copy (that is no longer editable), the data can be parsed.
My two plans of attack are either:
Find a way to parse a pdf with fillable forms, or
Find a way to 'flatten' the fillable forms out of a pdf so that it can be parsed (I'm not sure of the terminology around this).
Does anybody have any advice on where to look for a way to accomplish either option (or any other ideas)?
I feel like my problems with this are due to missing some knowledge about how PDFs work, rather than a javascript issue.
Thanks
I'm currently designing a full text search system where users perform text queries against MS Office and PDF documents, and the result will return a list of documents that best match the query. The user will then be to select any document returned and view that document within MS Word, Excel, or a PDF viewer.
Can I use ElasticSearch or Solr to import the raw binary documents (ie. .docx, .xlsx, .pdf files) into its "data store", and then export the document to the user's device on command for viewing.
Previously, I used MongoDB 2.6.6 to import the raw files into GridFS and the extracted text into a separate collection (the collection contained a text index) and that worked fine. However, MongoDB full text searching is quite basic and therefore I'm now looking at either Solr or ElasticSearch to perform more complex text searching.
Nick
Both Solr and Elasticsearch will index the content of the document. Solr has that built-in, Elasticsearch needs a plugin. Easy either way and both use Tika under the covers.
Neither of them will store the document itself. You can try making them do it, but they are not designed for it and you will suffer.
Additionally, neither Solr nor Elasticsearch are currently recommended as a primary storage. They can do it, but it is not as mission critical for them as - say - for a filesystem implementation.
So, I would recommend having the files somewhere else and using Solr/Elasticsearch for searching only. That's where they shine.
I would try the Elasticsearch attachment plugin. Details can be found here:
https://www.elastic.co/guide/en/elasticsearch/plugins/2.2/mapper-attachments.html
https://github.com/elasticsearch/elasticsearch-mapper-attachments
It's built on top of Apache Tika:
http://tika.apache.org/1.7/formats.html
Attachment Type
The attachment type allows to index different "attachment" type field
(encoded as base64), for example, Microsoft Office formats, open
document formats, ePub, HTML, and so on (full list can be found here).
The attachment type is provided as a plugin extension. The plugin is a
simple zip file that can be downloaded and placed under
$ES_HOME/plugins location. It will be automatically detected and the
attachment type will be added.
Supported Document Formats
HyperText Markup Language
XML and derived formats
Microsoft Office document formats
OpenDocument Format
iWorks document formats
Portable Document Format
Electronic Publication Format
Rich Text Format
Compression and packaging formats
Text formats
Feed and Syndication formats
Help formats
Audio formats
Image formats
Video formats
Java class files and archives
Source code
Mail formats
CAD formats
Font formats
Scientific formats
Executable programs and libraries
Crypto formats
A bit late to the party but this may help someone :)
I had a similar problem and some research led me to fscrawler. Description:
This crawler helps to index binary documents such as PDF, Open Office, MS Office.
Main features:
Local file system (or a mounted drive) crawling and index new files,
update existing ones and removes old ones. Remote file system over SSH
crawling.
REST interface to let you "upload" your binary documents to elasticsearch.
Regarding solr:
If the docs only need to be returned on metadata searches, Solr features a BinaryField fieldtype, to which you can send binary data base64 encoded.Keep in mind that in general people recommend against doing this, as it may increase your index (RAM requirements/performance), and if possible a set-up where you store the files externally (and the path to the file in solr) might bea better choice.
If you want solr to automatically index the text inside the pdf/doc -- that's possible with the extractingrequesthandler: https://wiki.apache.org/solr/ExtractingRequestHandler
Elasticsearch do store documents (.pdfs, .docs for instance) in the _source field. It can be used as a NoSQL datastore (same as MongoDB).
I'm looking for a way to convert a PDF document into multiple ics files that staff can use to add their fortnight roster to their smart phone calendars or outlook calendar on their desktops. The information required to create the multiple files would be pulled from the PDF by searching for selected initials from each column then referencing data from the same row as the initials. Is their a particular order I need the data to appear in the ics file to allow it to import to a smartphone calendar??
You can search for pdf APIs for more details in handling a pdf using programmatically.
and here are some online converters that could help. They convert a pdf into word
http://www.pdftoword.com/success.aspx
http://www.pdfescape.com/account/?expired
However, reconstructing structured data from PDF is not trivial because a program has to deduct the semantics in the layout. So most programs can only restore scattered data from a pdf.
I've done this with PERL and windows Adobe PDF viewer to highlight all the text in the PDF and cut and paste to a text file. As the previous answer said, you have to write PERL (or any other text processing language) to pick out the format of the PDF you have. Then you can print it with PERL to csv or to ical or whatever format you want. I've shared my code on github.com. I'm not sure if you know GIT, but send me a private message if you want me to send the PERL code outside of GIT.
The PDF's I've converted are here:
http://recplexonline.com/sports/hockey/old-geezers-hockey-35
The Git hub of my PERL code and the input files I used are here:
https://github.com/jdeltoft/PdfParse
It's pretty ugly perl, sorry for that. But it works. I'll try to clean it up soon.