Software Alternatives, Accelerators & Startups

Google Cloud Natural Language API VS Nanonets OCR

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

Google Cloud Natural Language API logo Google Cloud Natural Language API

Natural language API using Google machine learning

Nanonets OCR logo Nanonets OCR

Intelligent text extraction using OCR and deep learning
  • Google Cloud Natural Language API Landing page
    Landing page //
    2023-08-06
  • 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.

Nanonets OCR

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

Category Popularity

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

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.

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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Nanonets OCR mentions (0)

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

What are some alternatives?

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

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

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

Amazon Comprehend - Discover insights and relationships in text

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.

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

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.