Software Alternatives, Accelerators & Startups

Nanonets VS A.I. Experiments by Google

Compare Nanonets VS A.I. Experiments by Google 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.

A.I. Experiments by Google logo A.I. Experiments by Google

Explore machine learning by playing w/ pics, music, and more
  • 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

  • A.I. Experiments by Google Landing page
    Landing page //
    2023-09-22

Nanonets

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

A.I. Experiments by Google

Pricing URL
-
$ Details
-
Platforms
-
Release Date
-

Nanonets videos

Nanonets Airtable Walkthrough

A.I. Experiments by Google videos

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Category Popularity

0-100% (relative to Nanonets and A.I. Experiments by Google)
Developer Tools
61 61%
39% 39
AI
57 57%
43% 43
OCR
100 100%
0% 0
JavaScript Tools
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Nanonets and A.I. Experiments by Google

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

A.I. Experiments by Google Reviews

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Social recommendations and mentions

Nanonets might be a bit more popular than A.I. Experiments by Google. We know about 6 links to it since March 2021 and only 5 links to A.I. Experiments by Google. 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 2 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 2 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 2 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 2 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 2 years ago
View more

A.I. Experiments by Google mentions (5)

  • I asked an A.I. language model to write a conversation between two stoners after smoking DMT
    Try this: https://experiments.withgoogle.com/collection/ai. Source: over 1 year ago
  • Google Says AI Generated Content Is Against Guidelines
    But Google has a whole set of AI writing tools - https://experiments.withgoogle.com/collection/ai So by their own definition they are producing spam? - Source: Hacker News / about 2 years ago
  • [D] Do you know any tools (libraries/frameworks) that are intuitive enough for teenagers for a practical introduction to AI?
    Https://experiments.withgoogle.com/collection/ai might also help (I haven't used this IRL). Source: over 2 years ago
  • "RTX ON" ruined public perception of the biggest gaming advancement in a decade
    It's hard to imagine you've not seen Google's doodle guessing training (or their other experiments) but it's just another example of how little information you actually need to create a recognizable image, though Canvas also shows this off, but it has the benefit of material information. Source: over 2 years ago
  • [D] Researching with no affiliations to any Universities/Academic organizations?
    To come back to your original question, as far as I'm aware anyone can publish on arxiv or researchgate. People will just tend to take you less serious. Maybe a better solution for you is something like this https://experiments.withgoogle.com/collection/ai . You already said you think your idea might be industry changing so if it truly is, I'm sure people will start noticing you. Source: about 3 years ago

What are some alternatives?

When comparing Nanonets and A.I. Experiments by Google, you can also consider the following products

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

Facebook.ai - Everything you need to take AI from research to production

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.

Talk to Books by Google - Browse passages from books using experimental AI

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.

Lobe - Visual tool for building custom deep learning models