Apple Core ML Reviews

DocRaptor Reviews

1. Alex_E

   almost 3 years ago
   Cool app

   I've been using it for a while. It's great to create contracts.

   🏁 Competitors: pdfmatrix.com
2. Megan Mahdavi

   | Principal Consultant at Sunreach | almost 3 years ago
   Great app - resolves the limitations of other doc/merge apps

   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.

   👍 Pros:    Flexible|Great customer support|Super fast
3. Amaury Bouchard

   | Founder at Rolis | almost 3 years ago
   The best HTML to PDF solution

   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.

   🏁 Competitors: pdfmatrix.com, SelectPdf, pdflayer, Api2Pdf, PDFCrowd

   👍 Pros:    Simple api|No dependencies|Best pdf result|A lot of options to help you create the pdf you need|Good customer support

   👎 Cons:    A lot of css rules to learn if you want to get the perfect pdf of your dreams... but at least these rules exist!

Apple Core ML mentions (7)

• Ask HN: Where is Apple? They seem to be left out of the AI race?

  On the machine learning side of AI, they have CoreML. You can drag-and-drop images into Xcode to train an image classifier. And run the models on device, so if solar flares destroy the cell phone network and terrorists bomb all the data centers, your phone could still tell you if it's a hot dog or not. https://developer.apple.com/machine-learning/ https://developer.apple.com/machine-learning/core-ml/... - Source: Hacker News / 3 months ago

• The Magnitude of the AI Bubble

  Apple has actually created ML chipsets, so AI can be executed natively, on-device. https://developer.apple.com/machine-learning/. - Source: Hacker News / 5 months ago

• Does anyone else suspect that the official iOS ChatGPT app might be conducting some local inference / edge-computing? [Discussion]

  For your reference, Apple's pages for Machine Learning for Developers and for their research. The Apple Neural Engine was custom designed to work better with their proprietary machine learning programs -- and they've been opening up access to developers by extending support / compatibility for TensorFlow and PyTorch. They've also got CoreML, CreateML, and various APIs they are making to allow more use of their... Source: about 1 year ago

• Apple to occupy 90% of TSMC 3nm capacity in 2023

  > It’d be one thing if Apple actually worked on AI softwares a bit and made it readily available to developers. * Apple Silicon CPUs have a Neural Engine specifically made for fast ML-inference * Apple supports PyTorch (https://developer.apple.com/metal/pytorch/) * Apple has its own easily accessible machine-learning framework called Core-ML (https://developer.apple.com/machine-learning/) So it would be inaccurate... - Source: Hacker News / about 1 year ago

• The iPhone 13 is a pitch-perfect iPhone 12S

  This is the developer documentation where they advertise the APIs - https://developer.apple.com/machine-learning/. Source: over 2 years ago

DocRaptor mentions (4)

• Launch HN: Onedoc (YC W24) – A better way to create PDFs

  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

• How do you generate PDF reports from HTML?

  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

• What is the best online HTML to PDF converter?

  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

• Is it possible to render a RazorPage (inc. CSS) to a PDF file and download via WebAPI?

  I work for https://docraptor.com, which is an HTML to PDF API. We have a C# agent. Source: almost 3 years ago