textract | A text extractor suite

I'm looking to extract form data utilizing textract. I've tested with a PDF in the demo and results are great. Results using the SDK however are far from optimal, actually, completely inaccurate. If I use StartDocumentAnalysisRequest/StartDocumentAnalysisResult (asynchronous), I only get 1 block returned of type PAGE, never KEY_VALUE_SET. If I convert my PDF to an image and use the synchronous methods, I do get KEY_VALUE_SET back but results are completely inaccurate.

Does anyone know how I can utilize the asynchronous analysis functionality to retrieve form values as the documentation indicates?

Sample Code below:

I am doing the walkthrough for building a full stack app with Amplify and am stuck on the third module, adding auth. I followed all the instructions to a T but my build is failing saying there are invalid feature flags like so.

I am trying to crop a pdf and save it to s3 with same name using lambda. I am getting error on the data type being a fitz.fitz.page

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I am OCRing image based pdfs using AWS Textract

my each PDF I have has 60+ pages

but when I try to OCR the pdf file it only does that for the first 4 pages of each file.

is there any limit on number of pages in the pdf file for AWS extract

I found this https://docs.aws.amazon.com/textract/latest/dg/limits.html

but it does not mention any limit on the number of pages!!

Any one know if there is any limit of the pdf pages?

and if so, how can I do the OCR for the whole file 60+ pages?

I'm using AWS Textract to pull information from PDF documents. After the scanned text is returned from AWS and persisted to a var, I'm doing this:

phone_number = '(555) 123-4567'

scanned_pdf_text.should have_text phone_number

But this fails about 20% of the time because of the non-deterministic way that AWS is returning the scanned PDF text. On occasion, the phone numbers can appear either of these two ways:

(555)123-4567 or (555) 123-4567

Some of this scanned text is very large, and I'd prefer not to go through the exercise of sanitizing the text coming back if I can avoid it (I'm also not good at regex usage). I also think using or logic to handle both cases seems to be a little heavy handed just to check text that is so similar (and clearly near-identical to the human eye).

Is there an rspec matcher that'll allow me to check on this text? I'm also using Capybara.default_normalize_ws = true but that doesn't seem to help in this case.

I am trying to implement a similar script on my project following this blog post here: https://www.imagescape.com/blog/scraping-pdf-doc-and-docx-scrapy/

The code of the spider class from the source:

I have a Step Function that starts another Step Function.

The output from the inner step function is ok, it is exactly what I want.

Here is the code that triggers the outer step function:

I want to send the data in res.send(data). When i