Only DocRaptor's HTML-to-PDF API has these advanced styling and layout capabilities:
Instead of a separate HTML file, DocRaptor headers and footers are part of your document HTML. And easily show (or hide) different headers and footers for different pages.
DocRaptor lets you control the style, sizing, headers, and layouts of individual pages in your document. You can even style left and right pages differently, or the first and last pages.
DocRaptor lets you make PDFs with advanced CSS layout tools, including flexbox. You won't need to radically adjust your website to get a great PDF.
Create more accessible PDFs by using PDF profiles PDF/A-1a, PDF/A-3a, or PDF/UA-1. Tagged PDFs optimize the reading experience for assistive technology such as screen readers.
Our rendering engine was built specifically for making PDFs and we fully support CSS3 Paged Media. This allows much greater control over page breaks, especially when dealing with tables and images.
Add crop marks, specify PDF bookmarks, or create standards-compliant documents.
We back our API with a 99.999% uptime guarantee. If you need reliability, DocRaptor is the service you can trust. We also have no limits on document input or output size.
NanoNets is a Deep Learning web platform that makes it easier than ever before to use Deep Learning in practical applications. It combines the convenience of a web-based platform with Deep Learning models to create image recognition and object classification applications for your business. You can easily build and integrate deep learning models using NanoNets’ API. You can also work with our pre-trained models which have been trained on huge datasets and return accurate results. NanoNets has leveraged recent advances in Deep Learning to build rich representations of data which are transferable across tasks. It’s as simple as uploading your input, generating the output and getting a functioning and highly accurate Deep Learning model for your AI needs. NanoNets is revolutionary because it allows you to train models without large datasets. With just 100 images you can train a model on our platform to detect features and classify images with a high degree of accuracy. NanoNets benefits you in four important ways: ● It reduces the amount of data needed to build a Deep Learning Model ● NanoNets handles the infrastructure for hosting and training the model, and for the run time ● It reduces the cost of running deep learning models by sharing infrastructure across models ● It is possible for anyone to build a deep learning model
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I've been using it for a while. It's great to create contracts.
We wanted an app that would allow for custom branding and layout, the font of our choice, and merge fields across our main SF objects. Previously we used DocGen, which led to a morass of configuration to put fields in exactly the place they needed to be for the tables, as well as a bunch of SOQL queries to manage conditional logic. The VF doc generator can't accommodate the fonts we use in our branding. And so DocRaptor has been the perfect solution.
Our developer built the contracts, and we went live within weeks with complete branding, flexibility in the data merges (we were able to remove a ton of bad config) and it's easy to manage.
I have been using DocRaptor for 6 years, both for my professionnal and personnal projects. After trying several free and/or open source HTML to PDF solutions, I was happy to find this service. It's the most efficient solution, which generates the most accurate PDF documents.
Since it's a SaaS service, there is nothing to install, no library dependencies nor experimental software that you're not sure it will be supported in the future.
There is a lot of options and CSS rules to dig in if you want to get PDF files that exactly matches what you want. But the other solutions I tried didn't have these options, and the result was not good enough.
Based on our record, Nanonets should be more popular than DocRaptor. It has been mentiond 6 times since March 2021. 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.
It sounds like this is as advanced as DocRaptor[1]. They have what I consider to be the best PDF generation API, giving complete control over the documents you need to create. The pricing is similar. If you'd rather do it for free weasyprint[2] is the best open source alternative. Another more affordable option you might want to consider is Urlbox[3]. (Disclosure: I work on this) Urlbox's rendering engine is based... - Source: Hacker News / 3 months ago
We built the DocRaptor API to let developers have affordable access to the commercial Prince PDF engine. We have Node code examples throughout the documentation. Source: almost 2 years ago
I'd argue our service, DocRaptor, is the best because it's the only one powered by the Prince PDF engine. Unlike open-source, browser-based conversion engines, Prince was custom-built just for converting HTML into PDFs and offers a lot of unique functionality for making more complex PDFs. Source: about 2 years ago
I work for https://docraptor.com, which is an HTML to PDF API. We have a C# agent. Source: almost 3 years ago
Want to automate repetitive manual tasks? Check our Nanonets workflow-based document processing software. Source: about 2 years ago
Nanonets is a no-code, workflow-based, and AI-enhanced intelligent document processing platform. It automates all document processes and is built on a robust, intelligent, self-learning OCR API that allows users to extract required data from documents in minutes. Source: about 2 years ago
Check out our website here https://nanonets.com/ for more. We also have some free tools where you can experience our product for free (like https://nanonets.com/online-ocr). Source: about 2 years ago
Here is another company, which I just came across by accident, which do the same: https://nanonets.com/. Source: over 2 years ago
We will be using Python3.6+, Django web framework, Nanonets for character extraction from an image, Cloudinary for image storage and Google Search API for performing the searches. - Source: dev.to / over 2 years ago
PDFCrowd - Pdfcrowd is a Web/HTML to PDF online service. Convert HTML to PDF online in the browser or in your PHP, Python, Ruby, .NET, Java apps via the REST API.
Docsumo - Extract Data from Unstructured Documents - Easily. Efficiently. Accurately.
pdflayer - Free, powerful HTML to PDF API supporting both URL and raw HTML conversion. Unlimited document size, lightning-fast and compatible PHP, Python, Ruby, etc.
DocParser - Extract data from PDF files & automate your workflow with our reliable document parsing software. Convert PDF files to Excel, JSON or update apps with webhooks.
PDFShift - Convert any HTML documents to high-fidelity PDF using a single POST request
Amazon Textract - Easily extract text and data from virtually any document using Amazon Textract. Textract goes beyond simple optical character recognition (OCR) to also identify the contents of fields in forms and information stored in tables.