Software Alternatives, Accelerators & Startups

JSON Generator VS Nanonets OCR

Compare JSON Generator VS Nanonets OCR and see what are their differences

JSON Generator logo JSON Generator

Create mock and sample JSON using a powerful template syntax

Nanonets OCR logo Nanonets OCR

Intelligent text extraction using OCR and deep learning
  • JSON Generator Landing page
    Landing page //
    2022-04-10
  • 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.

JSON Generator

Pricing URL
-
$ Details
-
Platforms
-
Release Date
-

Nanonets OCR

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

Category Popularity

0-100% (relative to JSON Generator and Nanonets OCR)
Productivity
100 100%
0% 0
OCR
0 0%
100% 100
Web App
100 100%
0% 0
OCR API
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, JSON Generator seems to be more popular. It has been mentiond 9 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.

JSON Generator mentions (9)

  • How to code faster - VS Code edition
    JSON Generator: also generates mock data, but for JSON specifically. It's a bit more complex, but it allows for tailor-made results. - Source: dev.to / 8 months ago
  • Show HN: Generate JSON mock data for testing/initial app development
    Is there a generator for all the JSON generators out there? https://json-generator.com/. - Source: Hacker News / 9 months ago
  • Object-oriented JSON in Go
    So I generated a random JSON file and tried parsing it. It doesn’t error, but whenever I do a println(root.Object().Value().String()), I get a panic: wrong type. If I do a println(root.Object().Present()), it prints false. So seems like it would be better if you returned an error for this happening at the .Parse() call. But either way, not sure what’s happening. The JSON is indeed valid, as it was generated from... Source: about 1 year ago
  • How to Create a Table with Inline CRUD with Angular 14+
    Next, we’ll seed some demo data into the table. To generate some demo data, you can checkout JSON Generator. Once you’ve opened the window, replace the code in the left tab with the following code and hit generate. - Source: dev.to / over 1 year ago
  • How to Mock a Live Stream Chat
    Hey, I would try to do it using pre-comps for each message, getting the data like username, text, emoji… the from a json. This way you could generate the json manually with something like this to setup the blank json (just one way of doing that) or with some other kind of script. Then change the expression generated by mamoworldjson to link it to the comps name. The only thing i’m not sure is how to insert the... Source: 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 JSON Generator and Nanonets OCR, you can also consider the following products

Dadroit JSON Viewer - Open a 1GB JSON file in a blink 💣

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.

Dummi - The smart way to generate random data for your projects.

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

Jayson - Powerful JSON viewer for iPhone and iPad

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.