I am need to build an AI model to extract data in the PDF into excel. I can use Power automate AI builder, but the issue is all the Pdfs are in different formats. There are more than 5k Pdfs
I have tried power automate Ai Builder but failed to extract the required data.
Please could you suggest the best way I could build something automate for long term usage.
Many Thanks!
Did you try to create a document processing custom model with unstructured documents and see if you have a better result ?
You can also post our message to the Power Automate Community
https://powerusers.microsoft.com/t5/AI-Builder/bd-p/AIBuilder
Hope it helps!
Related
Here everyone, I am fairly new google cloud console. I am trying to customize a google document ai model that will learn to extract different sections of document to various data. As you can on the image that it fails to train the model and I have been running the Labeling Task for several days now I have not seen progress. Can you please assist in telling what is the right way to customize google document ia modelenter image description here
I have tried to manually label the different sections of the document, it took me a while so I did around 20 test and training dataset which I think the model to not train then I decided to do the Labeling Task as an alternative to manually labeling the dataset.
Here is the information about Labeling Tasks for Document AI
https://cloud.google.com/document-ai/docs/workbench/label-documents#labeling-tasks
Labeling Tasks use Human-in-the-Loop to have human labelers label documents for training data or production review. You can either set up your own labeling team or apply for access to the Google-Managed Workforce.
However, it doesn't seem like this is the correct course of action for what you are trying to do, since the labeling has already been completed.
Could you provide more clarification on what you are trying to accomplish with the Custom Document Extractor?
Note: Some of the error messages that are output from Document AI Workbench are not very descriptive (e.g. Internal Error Occurred) but the product development team is working to surface more helpful errors when possible.
Is it plausible to train a document AI processor to analyze a pdf file containing instructions for a document outline and content (such as a government Request for Proposals), and output a new text document with an outline and draft content based on the input document?
Kolban mentioned in the comments that it is not possible to generate semantic output by using Google Document AI which extracts structured data from dark data or unstructured data. Document AI is not for output generation but it is for analyzing and extracting/parsing data.
Regarding your another question in the comments, it may be possible with Custom Document AI, where you can build models that suit your document types. You can train custom models from scratch and evaluate your data.
How to parse a captcha Image or get data from it? The data is part of image. The data changes with reloading. How to get the data on the image? can i do anything with data-url of image?
following is a example for captcha:
http://enquiry.indianrail.gov.in/ntes/CaptchaServlet?action=getNewCaptchaImg&t=1400870602238
Using OCR (Optical Character Recognition) is the first step. Below are 2 examples for such tools/APIs that can help you with that.
Try Tesseract.
Tesseract is probably the most accurate open source OCR engine
available. Combined with the Leptonica Image Processing Library it can
read a wide variety of image formats and convert them to text in over
60 languages.
for more info check: https://code.google.com/p/tesseract-ocr/
You can also try OCRopus
OCRopus is an OCR system written in Python, NumPy, and SciPy focusing
on the use of large scale machine learning for addressing problems in
document analysis.
for more info check: https://code.google.com/p/tesseract-ocr/
For detailed info with code smaple on how to do this, check Ben Boyter's article Decoding CAPTCHA’s at: http://www.boyter.org/decoding-captchas/
I'm trying to do the training process, but I don't understand even how to start. I would like to train for read it numbers. My images are from real world, so it didn't go so good with the reading process.
It says that I have to have a ".tif" image with the examples... is a single image of every number (in this case) or a image with a lot of different types of number (same font, though)?
And what about the makebox? The command didn't work here.
https://code.google.com/p/tesseract-ocr/wiki/TrainingTesseract3
Could someone explain me better, at least how to start?
I saw a few softwares that do this more quickly, but I tryied one (SunnyPage 1.8) but isn't free. Anyone know any free software that does this? Or a good tutorial?
Using Tesseract 3, Windows 8 (32bits).
It is important to patiently follow the training wiki google code project site. If needed multiple times. It is an open source library and is constantly evolving.
You will have to create a training image(tiff) with a lot of different types of numbers probably should have all the numbers you wish the engine to recognize.
Please consider posting the exact error message you got with make box.
I think Tesseract is the best free solution available. You have to keep working and seek help from community.
There is a very good post from Cédric here explaining the training process for Tesseract.
A good free OCR software is PDF OCR X which is also based on Tesseract. I tried to copy my notes from German which I had scanned at 1200dpi, and the results were commendable but not perfect. I found that this website - http://onlineocr.net - is a lot more accurate. If you are not registered, it allows a maximum of 4mb file size from most image formats (BMP, PNG, JPEG etc.) and PDF. It can output them as a Word file, an Excel file or an txt file.
Hope this helps.
Is screen scraping the best way to accomplish this?
I can't find a CNN API, but are there third-party APIs that allow you to access archives of CNN headlines, perhaps indirectly through past RSS feeds?
I only need to access the last 60 days worth of headlines.
Thanks!
CNN introduced developer API keys, but you have to apply for them. I was able to apply for one for a project. You are limited in the amount of queries you can do.
Here's the link
You can get the RSS feeds here: http://www.cnn.com/services/rss/ You may also want to look at using feedburner. For programmatically scraping the CNN RSS feeds, take a look at library like Python pattern.