Skip to main content

Jelly's Manga Reading Thingy.

This is my own rendition of the excellent Mokuro project, made mostly just to do it. That being said, if you have any suggestions, please give me a heads-up and I will be happy to implement it. Probably.

Usage

  1. Prepare a folder containing the images you would like to process. As of v.0.0.1 the images in this folder must be named the page number you would like that image to be. (e.g. the PNG image you would like to use as the second page should be titled "2.png") The name of the folder will be the name of the resultant HTML file. (e.g. if your folder is titled "Naruto" the output HTML file will be "Naruto.html" )
  2. Run comic-reader-ocr and enter the "folder" command.
  3. Enter the absolute path of the folder from step 1 and wait for comic-reader-ocr to process all the images.
  4. Once finished, the resulting HTML file will be placed in an outputs folder within the folder from step 1.
  5. Open the resulting HTML using your web browser of choice.

FAQs (as decided by Myself)

  1. Is this a worse version of various other projects (e.g. Mokuro)?

    • Yes.
  2. Do you know how to like. Write things. That work?

    • No.
  3. Why did you do this?

    • As a learning exercise, mostly. Plus, I like trying to reinvent wheels.
  4. Can I make suggestions?

    • Yes.
  5. Did you use AI for this?

    • Yes. Most of the HTML and JS was AI generated, as unfortunately I really really don't like looking at either of those things.
  6. Are you going to try to make this a webapp because that probably makes a lot of sense or just. Like. Something that isn't Python so that it's easier to distribute or something?

    • Yes. I'll probably try to rewrite this in Rust or do something like the mokuro-reader project.

Metadata

Release files for comic-ocr-reader 0.0.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for comic-ocr-reader 0.0.2
File Size Uploaded
comic_ocr_reader-0.0.2.tar.gz 14.4 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for comic-ocr-reader 0.0.2
File Interpreter ABI Platform
comic_ocr_reader-0.0.2-py3-none-any.whl Python 3 none any Details

Total release size: 27.1 kB

Release files / comic_ocr_reader-0.0.2.tar.gz

Download URL comic_ocr_reader-0.0.2.tar.gz
Size 14.4 kB
Tags Source
SHA-256 checksum
How to use checksums
fb43e70ad4c08a007fe212b5ebdd04b526840da945ac22344722b9e00b0cb2c6
BLAKE2b-256 checksum
How to use checksums
8fa029af8f58d6ff8966926ee90e23da8c33f8bb3586fe313c02e7224c1241f0
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.14.6

Release files / comic_ocr_reader-0.0.2-py3-none-any.whl

Download URL comic_ocr_reader-0.0.2-py3-none-any.whl
Size 12.7 kB
Tags Python 3
SHA-256 checksum
How to use checksums
630626b3c1b9d4730fd475d039d0c6290ff3c328d9a10b2b43dabf3ca6da35d4
BLAKE2b-256 checksum
How to use checksums
89ed4def0f514a945cacf2c17651da30ded4612ac6074162ce3571af6d62b021
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.14.6

Release history Release notifications | RSS feed

1.0.3

2 release files

0.0.5

2 release files

0.0.4

2 release files

0.0.3

2 release files

This release

0.0.2 This release

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page