Software Alternatives, Accelerators & Startups

Nanonets VS Building APIs with Node.js

Compare Nanonets VS Building APIs with Node.js and see what are their differences

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.

Building APIs with Node.js logo Building APIs with Node.js

Build scalable APIs in Node.js platform
  • 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

  • Building APIs with Node.js Landing page
    Landing page //
    2022-06-22

Nanonets

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

Building APIs with Node.js

Pricing URL
-
$ Details
-
Platforms
-
Release Date
-

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.

Building APIs with Node.js features and specs

  • JavaScript Ubiquity
    Node.js allows JavaScript to be used for both frontend and backend development, enabling a unified development environment and reducing the context switch for developers.
  • Non-blocking I/O
    Node.js uses an event-driven, non-blocking I/O model, which makes it efficient and suitable for handling multiple connections simultaneously without incurring performance penalties.
  • Large Ecosystem
    Node.js benefits from a vast ecosystem of libraries and modules available via npm (Node Package Manager), allowing developers to leverage existing tools and accelerate API development.
  • Scalability
    Node.js applications are highly scalable, thanks to its single-threaded nature event loop and ability to handle asynchronous tasks, making it well-suited for building scalable network applications.
  • Active Community
    Node.js has a large and active community that contributes to its continuous improvement and maintenance, providing a wealth of resources and support for developers.

Possible disadvantages of Building APIs with Node.js

  • Callback Hell
    The asynchronous nature of Node.js can lead to deeply nested callbacks, commonly known as callback hell, which can make the code harder to read and maintain.
  • Single-threaded Limitations
    While Node.js handles asynchronous I/O well, CPU-bound tasks can block the event loop, potentially leading to performance issues since Node.js is single-threaded.
  • Maturity of Modules
    Despite the vast ecosystem of modules available, not all npm packages are mature or well-maintained, which can introduce risks when relying on third-party solutions.
  • Error Handling
    Error handling in asynchronous operations can be complex and requires careful design considerations, potentially increasing the likelihood of uncaught exceptions and difficult-to-trace bugs.
  • Rapid Changes
    The Node.js ecosystem is subject to rapid changes, which can result in frequent updates. While this drives innovation, it can also lead to challenges in maintaining compatibility over time.

Nanonets videos

Nanonets Airtable Walkthrough

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Category Popularity

0-100% (relative to Nanonets and Building APIs with Node.js)
AI
100 100%
0% 0
Developer Tools
85 85%
15% 15
APIs
0 0%
100% 100
Data Extraction
100 100%
0% 0

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Nanonets and Building APIs with Node.js

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

Building APIs with Node.js Reviews

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Social recommendations and mentions

Based on our record, Nanonets seems to be more popular. 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.

Nanonets mentions (6)

  • Healthcare Automation Can Improve Patient Engagement
    Want to automate repetitive manual tasks? Check our Nanonets workflow-based document processing software. Source: almost 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: almost 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: almost 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: about 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
View more

Building APIs with Node.js mentions (0)

We have not tracked any mentions of Building APIs with Node.js yet. Tracking of Building APIs with Node.js recommendations started around Mar 2021.

What are some alternatives?

When comparing Nanonets and Building APIs with Node.js, you can also consider the following products

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

API List - A collective list of APIs. Build something.

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.

Spinneret - Record and Automate Anything on the Web

DocuClipper - Automate data extraction from bank statements, invoices, tax forms and more.

Node.js on App Engine - Fully managed Node.js serverless application platform