Amazon Textract might be a bit more popular than wkhtmltopdf. We know about 34 links to it since March 2021 and only 33 links to wkhtmltopdf. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Wkhtmltopdf[1] uses the QT WebKit renderer. I used it as part of my job hut work-flow with pandoc to get pdf resumes from markdown. It got me a job, so there's that. [1] https://wkhtmltopdf.org/. - Source: Hacker News / 4 months ago
I've been using WkhtmlToPdf all this while, so this seems a better option to try since it's pure Ruby. https://wkhtmltopdf.org/. - Source: Hacker News / 4 months ago
In 2014 we used wkhtmltopdf[0] to generate PDF copies of Cloudfoundry docs for every version every release, and maybe that's what I'd reach for now. Not sure if Qt WebKit has similar limits as Chromium. Not that you asked, but I am sitting here silently judging whoever let those pages get that large. Enough html to cap out RAM? Chesterton's Fence dictates that I presume your upstream's hands were tied, but wowee!... - Source: Hacker News / 6 months ago
In most cases no, AsciiDoctor-PDF converter uses the Ruby library PDF library Prawn to generate PDFs, However, there are alternative PDF converters which do convert from HTML (the VSC AsciiDoctor plug-in allows the option to use a different converter), but I don't think they use chrome. Please note that using different pdf converters is a bit of an advanced topic. https://wkhtmltopdf.org/, and asciidoctor-web-pdf. - Source: Hacker News / 7 months ago
There are multiple options for how to convert HTML to PDF, one could be by using open-source projects like Puppeteer or wkhtmltopdf. I wrote a separate post How to convert HTML to PDF using Puppeteer, but now for simplicity, I going to use html2pdf.app. Its free plan gives 100 credits per month, excellent! - Source: dev.to / 8 months ago
Amazon Textract has an Analyze Lending API for evaluating and categorizing the documents contained in mortgage loan application packages, as well as extracting the data they contain. The new API can assist in processing applications quicker and with minimal errors, therefore improving the end-customer experience and lowering operational costs. - Source: dev.to / 4 months ago
You could try something like https://aws.amazon.com/textract/ or https://cloud.google.com/vision/docs/handwriting. Both have support for modern handwriting. I don't know if it will work with a script written a century ago though. - Source: Hacker News / 4 months ago
Create a main.js file inside the look-for-github-profile-step project folder. Implement the code that parses the resume and plucks the GitHub profile URL. This step function is responsible for using Textract (an AI service from AWS) and passing state back to the state machine. - Source: dev.to / 7 months ago
The primary challenge in processing invoices is extracting the relevant data. This is where Amazon Textract can help. It is a service provided by Amazon Web Services (AWS) that uses advanced Machine Learning (ML) algorithms to automatically extract structured and unstructured data from scanned documents, images, and PDF files. It can detect typed and handwritten text in different types of documents including... - Source: dev.to / 9 months ago
First, we’ve decided to leave open-source solutions behind. We’ve used AWS Textract to parse PDF files. This way we don’t rely on the internal structure of the PDF to get text from it (or to get nothing - like in the case of the Uber example). Textract uses OCR and machine learning to get not only text but also spatial information from the document. - Source: dev.to / 9 months ago
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