Software Alternatives, Accelerators & Startups

Nanonets OCR VS Google Cloud Natural Language API

Compare Nanonets OCR VS Google Cloud Natural Language API and see what are their differences

Nanonets OCR logo Nanonets OCR

Intelligent text extraction using OCR and deep learning

Google Cloud Natural Language API logo Google Cloud Natural Language API

Natural language API using Google machine learning
  • Nanonets OCR Landing page
    Landing page //
    2022-03-22

Transform unstructured, human-readable text into structured and validated data using OCR + Deep Learning to extract relevant information. Digitize everything from documents, PDFs to number plates and utility meters. Extract relevant info and key fields.

  • Google Cloud Natural Language API Landing page
    Landing page //
    2023-08-06

Nanonets OCR

$ Details
freemium $99.0 / Monthly
Platforms
Browser iOS Android Windows REST API
Release Date
2019 August

Category Popularity

0-100% (relative to Nanonets OCR and Google Cloud Natural Language API)
OCR
100 100%
0% 0
NLP And Text Analytics
0 0%
100% 100
OCR API
100 100%
0% 0
Natural Language Processing

User comments

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Social recommendations and mentions

Based on our record, Google Cloud Natural Language API seems to be more popular. It has been mentiond 13 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 OCR mentions (0)

We have not tracked any mentions of Nanonets OCR yet. Tracking of Nanonets OCR recommendations started around Mar 2021.

Google Cloud Natural Language API mentions (13)

  • Best AI SEO Tools for NLP Content Optimization
    Google Cloud Natural Language API: Google's NLP API offers one of the best AI platforms for sentiment analysis, entity recognition, and syntax analysis to understand and extract information from text. Source: 6 months ago
  • What do you think AI will replace SEO ?
    Voice search is another area where AI is reshaping SEO services. As more people use voice-activated devices, the way they search for information online is changing. AI algorithms are adept at processing natural language, allowing businesses in Chandigarh to tailor their content to match conversational queries. Optimizing for voice search is becoming a crucial aspect of SEO, and AI is at the forefront of driving... Source: 8 months ago
  • Natural Language API demo
    Can anyone get the "ANALYZE" button on https://cloud.google.com/natural-language to do anything? Source: about 1 year ago
  • From pixels to information with Document AI
    We’re seeing successively difficult problems getting solved thanks to machine learning (ML) models. For example, Natural Language AI and Vision AI extract insights from text and images, with human-like results. They solve problems central to the way we communicate:. - Source: dev.to / about 1 year ago
  • Google Cloud Reference
    Cloud Natural Language API: Text parsing and analysis 🔗Link 🔗Link. - Source: dev.to / over 1 year ago
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What are some alternatives?

When comparing Nanonets OCR and Google Cloud Natural Language API, you can also consider the following products

Pen to Print - Pen to Print: Convert handwriting to text created and published by Serendi LTD.

spaCy - spaCy is a library for advanced natural language processing in Python and Cython.

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.

Amazon Comprehend - Discover insights and relationships in text

Pen2txt - Transform handwritten notes into digital text with Pen2txt: the ultimate AI companion for flawless Handwritten Text Recognition (HTR). Combining OCR and AI for accurate, searchable, and editable results. Ideal for anyone digitizing documents.

FuzzyWuzzy - FuzzyWuzzy is a Fuzzy String Matching in Python that uses Levenshtein Distance to calculate the differences between sequences.