nodejs-vision VS beam

Google also used all of this to improve their OCR algorithms, almost certainly used in Google Cloud Vision[0], but I doubt this was a consideration when deciding if it was transformative/fair use.

0: https://cloud.google.com/vision

You are looking for a computer vision object recognition api, and there are several, all of which cost money. Here are a couple Google’s Microsoft’s

For an example, Google Cloud API which can read images even facial expression and much more and also can differentiate which Image is violating google terms and condition like - pronographic image

tool/software = https://cloud.google.com/vision

I think you’re underestimating how good OCR tech is. Yeah, shitty penmanship will be harder for software to interpret just as it is for the human eye, but legible ink isn’t much of a problem. I just tried scanning my number off my discs and my iPhone digitized it without issue. This technology is essentially made for digitizing handwritten text. Try it yourself if you’d like: https://cloud.google.com/vision

you guys can use this website to extract the japanese texts from the manga pages : https://cloud.google.com/vision/ , then you can google-translate the texts .

The "streaming systems" book answers your question and more: https://www.oreilly.com/library/view/streaming-systems/97814.... It gives you a history of how batch processing started with MapReduce, and how attempts at scaling by moving towards streaming systems gave us all the subsequent frameworks (Spark, Beam, etc.).

As for the framework called MapReduce, it isn't used much, but its descendant https://beam.apache.org very much is. Nowadays people often use "map reduce" as a shorthand for whatever batch processing system they're building on top of.

Apache Beam is one of many tools that you can use

Flexible runtime ☁️: Temporian programs can run seamlessly in-process in Python, on large datasets using Apache Beam.

To perform the tests I'm using a Kafka cluster on Kubernetes from the Beam repo (here).

Apache Beam: Streaming framework which can be run on several runner such as Apache Flink and GCP Dataflow

Apache Beam: Batch/streaming data processing 🔗Link

What you are looking for is Dataflow. It can be a bit tricky to wrap your head around at first, but I highly suggest leaning into this technology for most of your data engineering needs. It's based on the open source Apache Beam framework that originated at Google. We use an internal version of this system at Google for virtually all of our pipeline tasks, from a few GB, to Exabyte scale systems -- it can do it all.

That being said, there is a learning curve in understanding how Apache Beam works. Take a look at the beam website for more information.