Nanonets

Nanonets

Nanonets is an AI API platform that provides easy-to-integrate machine learning models for tasks like image recognition, NLP, and OCR. It allows developers to add AI capabilities to their applications without needing machine learning expertise.
Nanonets image
image-recognition nlp ocr api machine-learning

Nanonets: AI API Platform

AI API platform for easy integration of machine learning models, image recognition, NLP, and OCR capabilities into applications without requiring machine learning expertise.

What is Nanonets?

Nanonets is an AI API platform that provides pre-trained machine learning models through easy-to-use APIs. It allows developers and businesses to easily integrate intelligent features like image recognition, text analysis, and data extraction into their applications.

Some of the key capabilities Nanonets offers include:

  • Image recognition - Categorize, tag, moderate NSFW images
  • Text analysis - Entity extraction, language detection, sentiment analysis
  • Data extraction - Extract structured data from documents like invoices, resumes etc.
  • Community APIs - Face recognition, moderation, text summarization

Nanonets handles the complexity of building, training and deploying machine learning models, allowing developers to simply call its APIs with their input data and get accurate results programmatically. It offers client libraries for popular languages like Python, Javascript, Java making integration seamless.

With a simple and affordable pricing structure, Nanonets makes it easy for companies and developers to get started with machine learning quickly without any prior expertise.

Nanonets Features

Features

  1. Image recognition APIs
  2. NLP APIs
  3. OCR APIs
  4. Pre-trained AI models
  5. Easy integration
  6. No ML expertise required

Pricing

  • Free
  • Freemium
  • Pay-As-You-Go

Pros

Quick setup

Scalable

Affordable pricing

Intuitive UI

Good documentation

Cons

Limited customization

Less flexible than building own models

Dependence on vendor


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