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python pdf VS Nanonets

Compare python pdf VS Nanonets and see what are their differences

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python pdf logo python pdf

In this step-by-step tutorial, you'll learn how to work with a PDF in Python. You'll see how to extract metadata from preexisting PDFs . You'll also learn how to merge, split, watermark, and rotate pages in PDFs using Python and PyPDF2.

Nanonets logo Nanonets

Worlds best image recognition, object detection and OCR APIs. NanoNets’ platform makes it straightforward and fast to create highly accurate Deep Learning models.
  • python pdf Landing page
    Landing page //
    2023-04-13
  • Nanonets Landing page
    Landing page //
    2023-10-23

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

python pdf

Pricing URL
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$ Details
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Platforms
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Release Date
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Nanonets

$ Details
freemium
Platforms
Browser REST API Docker Cross Platform Python JavaScript Java PHP Go C++
Release Date
2017 January

python pdf features and specs

No features have been listed yet.

Nanonets features and specs

  • Ease of Use
    Nanonets offers a user-friendly interface that makes it accessible for users without extensive technical knowledge, allowing easy setup and deployment of AI models.
  • Versatility
    The platform supports a wide range of use cases, including document extraction, image recognition, and OCR (Optical Character Recognition), making it adaptable to various business needs.
  • Automation
    Nanonets offers automation features that help streamline workflows, reducing manual effort and increasing efficiency for repetitive tasks.
  • Scalability
    Nanonets can handle large volumes of data and scale up as business requirements grow, ensuring consistent performance and reliability.
  • Integration Capabilities
    The platform can integrate with numerous third-party applications through APIs, enhancing its functionality and compatibility with existing business systems.

Possible disadvantages of Nanonets

  • Cost
    While providing valuable features, Nanonets can be expensive for small businesses or startups with limited budgets, potentially making it less accessible for these users.
  • Customization Limitations
    Despite its versatility, some advanced users may find the customization options lacking, especially for highly specialized or niche applications.
  • Learning Curve
    Although the interface is user-friendly, some users may still experience a learning curve when utilizing more advanced features and integrations.
  • Data Privacy Concerns
    As with any cloud-based platform, there may be concerns about data privacy and security, especially when dealing with sensitive or confidential information.
  • Dependency on Internet Connectivity
    Nanonets is a cloud-based service, which means that a stable internet connection is required for optimal performance. Any disruptions in connectivity can hinder productivity.

Analysis of Nanonets

Overall verdict

  • Overall, Nanonets is a reliable and efficient tool for businesses seeking to improve their document processing capabilities through automation. Its user-friendly interface, accuracy, and customizable features make it a strong contender in the OCR and document automation market.

Why this product is good

  • Nanonets is considered good because it offers advanced AI-driven OCR (Optical Character Recognition) and document automation solutions. It provides an easy-to-use platform that can handle complex workflows and data extraction with high accuracy. The platform supports various document types and integrates seamlessly with popular applications, making it versatile and convenient for businesses looking to automate their document management processes. Additionally, it offers customization options to tailor the solution to specific business needs, along with competitive pricing and strong customer support.

Recommended for

    Nanonets is particularly recommended for businesses of all sizes that deal with large volumes of documents and require efficient data extraction and automation. Industries like finance, healthcare, logistics, and retail, which often handle invoices, forms, and contracts, can benefit significantly. It's also suitable for developers looking for an API solution to integrate OCR capabilities into their own applications.

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Nanonets videos

Nanonets Airtable Walkthrough

Category Popularity

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Reviews

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Nanonets Reviews

7 Best OCR Software of 2022 (Free and PAID)
Nanonets use artificial intelligence to extract data from documents without any human intervention. It is designed to be easy to use and accurate and can handle a variety of different languages.
The best alternatives to Abbyy FineReader
Top five alternatives to Abbyy FineReader PDF1. Klippa DocHorizonPros of Klippa DocHorizonConsKlippa DocHorizon is used in industries such asKlippa DocHorizon offers you data extraction for multiple file types such asPricing2. VeryfiPros of VeryfiConsVeryfi is used in industries such asVeryfi’s OCR software offers data extraction for multiple file types such asPricing3....
Source: www.klippa.com

Social recommendations and mentions

Nanonets might be a bit more popular than python pdf. We know about 6 links to it since March 2021 and only 5 links to python pdf. 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.

python pdf mentions (5)

  • Can Python create a program for helping with assessments?
    Please take some look in this tutorial. It is very complete and teaches you everything from installation to code. Https://realpython.com/pdf-python/. Source: about 2 years ago
  • Help with Python, Tkinter and Regex
    But regardless of how you end up displaying it, a great first step would be to get data from the PDFs into your database. This is one of my favourite places on the web when it comes to approachable tutorials: https://realpython.com/pdf-python/. Source: about 2 years ago
  • Need guidance with automating a work task involving PDFs.
    To start, here’s a great article on working with PDFs in Python: Https://realpython.com/pdf-python/. Source: almost 3 years ago
  • Looking for a batch file converter and resizer (multiple image formats + pdf compression)
    How to work with PDF files with python. Source: about 3 years ago
  • Anybody know how I could do this?
    Are you okay with paying for APIs? If so fair enough: https://ocr.space/ocrapi or browse https://rapidapi.com/marketplace for a good OCR API. As far as I know the only way to do it within python is with tesseract, which you could look into. Here's a resource on dealing with the PDF part. Source: about 4 years ago

Nanonets mentions (6)

  • Healthcare Automation Can Improve Patient Engagement
    Want to automate repetitive manual tasks? Check our Nanonets workflow-based document processing software. Source: about 3 years ago
  • Document Automation for Probate
    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 3 years ago
  • Promote your business, week of May 16, 2022
    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 3 years ago
  • How would you annotate resumes for object detection?
    Here is another company, which I just came across by accident, which do the same: https://nanonets.com/. Source: over 3 years ago
  • Automate Exam Research with Django, Nanonets and Google Search API
    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 3 years ago
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What are some alternatives?

When comparing python pdf and Nanonets, you can also consider the following products

Adobe PDF Editor - Learn how to edit PDF files using Adobe Acrobat DC and change text and images quickly and easily in PDF documents. Start your free trial and try the PDF editor. 

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.

Foxit PhantomPDF - Edit PDF files with our feature-rich PDF Editor. Download Foxit PDF Editor to convert, sign, scan / OCR & more. A speedy PDF Editor alternative to Adobe Acrobat.

Docsumo - Extract Data from Unstructured Documents - Easily. Efficiently. Accurately.

pdfFiller - A comprehensive online document management platform that provides the services of an online editor, cloud storage platform, and a signature request manager, all in one package.

Rossum - Rossum is AI-powered, cloud-based invoice data capture service that speeds up invoice processing 6x, with up to 98% accuracy. It can be easily customized, integrated and scaled according to your company needs.