Software Alternatives, Accelerators & Startups

DocRaptor VS TensorFlow

Compare DocRaptor VS TensorFlow and see what are their differences

DocRaptor logo DocRaptor

As the only API powered by the Prince HTML-to-PDF engine, DocRaptor provides the best support for complex PDFs with powerful support for headers, page breaks, page numbers, flexbox, watermarks, accessible PDFs, and much more
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TensorFlow logo TensorFlow

TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
  • DocRaptor Landing page
    Landing page //
    2021-06-30

Uniquely Powerful PDF Generation

Only DocRaptor's HTML-to-PDF API has these advanced styling and layout capabilities:

Easy Headers & Footers

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.

Mixed Layout, Sizes & Headers

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.

CSS Flexbox

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.

Accessible, Tagged PDFs

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.

Fine-Tune Page Breaks

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.

…and more!

Add crop marks, specify PDF bookmarks, or create standards-compliant documents.

Unmatched Scale & Reliability

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.

  • TensorFlow Landing page
    Landing page //
    2023-06-19

DocRaptor

$ Details
paid Free Trial $15.0 / Monthly (125+ Documents)
Platforms
REST API PHP Java JavaScript Ruby Drupal Python Node JS Laravel Cross Platform .Net Generic HTTP API Cloud
Release Date
2010 May

TensorFlow

Pricing URL
-
$ Details
Platforms
-
Release Date
-

DocRaptor videos

No DocRaptor videos yet. You could help us improve this page by suggesting one.

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TensorFlow videos

What is Tensorflow? - Learn Tensorflow for Machine Learning and Neural Networks

More videos:

  • Tutorial - TensorFlow In 10 Minutes | TensorFlow Tutorial For Beginners | Deep Learning & TensorFlow | Edureka
  • Review - TensorFlow in 5 Minutes (tutorial)

Category Popularity

0-100% (relative to DocRaptor and TensorFlow)
PDF Tools
100 100%
0% 0
Data Science And Machine Learning
Office & Productivity
100 100%
0% 0
AI
0 0%
100% 100

User comments

Share your experience with using DocRaptor and TensorFlow. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare DocRaptor and TensorFlow

DocRaptor Reviews

  1. Cool app

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

    🏁 Competitors: pdfmatrix.com
  2. 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. 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.

    👍 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!

14 Best PDF APIs for Every Business Need
DocRaptor is an HTML-to-PDF API that empowers you with unmatched scalability and reliability. Even if you need thousands of PDF documents every day, it can handle your requirements. It also guarantees 99.999% uptime and has no restrictions on the input and output size of the files.
Source: geekflare.com
Best BFO Java PDF Library Alternatives (2024) for your project
DocRaptor is a service that is hosted in the cloud and generates PDF documents from HTML and CSS in a seamless manner. Because it enables developers to easily convert web information into PDFs of excellent quality, it is a convenient solution for projects in which HTML-to-PDF conversion is a primary requirement.

TensorFlow Reviews

7 Best Computer Vision Development Libraries in 2024
From the widespread adoption of OpenCV with its extensive algorithmic support to TensorFlow's role in machine learning-driven applications, these libraries play a vital role in real-world applications such as object detection, facial recognition, and image segmentation.
10 Python Libraries for Computer Vision
TensorFlow and Keras are widely used libraries for machine learning, but they also offer excellent support for computer vision tasks. TensorFlow provides pre-trained models like Inception and ResNet for image classification, while Keras simplifies the process of building, training, and evaluating deep learning models.
Source: clouddevs.com
25 Python Frameworks to Master
Keras is a high-level deep-learning framework capable of running on top of TensorFlow, Theano, and CNTK. It was developed by François Chollet in 2015 and is designed to provide a simple and user-friendly interface for building and training deep learning models.
Source: kinsta.com
Top 8 Alternatives to OpenCV for Computer Vision and Image Processing
TensorFlow is an open-source software library for dataflow and differentiable programming across a range of tasks such as machine learning, computer vision, and natural language processing. It provides excellent support for deep learning models and is widely used in several industries. TensorFlow offers several pre-trained models for image classification, object detection,...
Source: www.uubyte.com
PyTorch vs TensorFlow in 2022
There are a couple of notable exceptions to this rule, the most notable being that those in Reinforcement Learning should consider using TensorFlow. TensorFlow has a native Agents library for Reinforcement Learning, and Deepmind’s Acme framework is implemented in TensorFlow. OpenAI’s Baselines model repository is also implemented in TensorFlow, although OpenAI’s Gym can be...

Social recommendations and mentions

Based on our record, TensorFlow should be more popular than DocRaptor. It has been mentiond 7 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.

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: over 1 year 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

TensorFlow mentions (7)

  • Creating Image Frames from Videos for Deep Learning Models
    Converting the images to a tensor: Deep learning models work with tensors, so the images should be converted to tensors. This can be done using the to_tensor function from the PyTorch library or convert_to_tensor from the Tensorflow library. - Source: dev.to / over 1 year ago
  • Need help with a Tensorflow function
    So I went to tensorflow.org to find some function that can generate a CSR representation of a matrix, and I found this function https://www.tensorflow.org/api_docs/python/tf/raw_ops/DenseToCSRSparseMatrix. Source: almost 2 years ago
  • Help: Slow performance with windows 10 compared to Ubuntu 20.04 with TF2.7
    Can anyone offer up an explanation for why there is a performance difference, and if possible, what could be done to fix it. I'm using the installation guidelines found on tensorflow.org and installing tf2.7 through pip using an anaconda3 env. Source: about 2 years ago
  • [Question] What are the best tutorials and resources for implementing NLP techniques on TensorFlow?
    I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: about 2 years ago
  • [Question] What are the best tutorials and resources for implementing NLP techniques on TensorFlow?
    I have looked at this TensorFlow website and TensorFlow.org and some of the examples are written by others, and it seems that I am stuck in RNNs. What is the best way to install TensorFlow, to follow the documentation and learn the methods in RNNs in Python? Is there a good tutorial/resource? Source: about 2 years ago
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What are some alternatives?

When comparing DocRaptor and TensorFlow, you can also consider the following products

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.

PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...

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.

Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

PDFShift - Convert any HTML documents to high-fidelity PDF using a single POST request

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.