ocrmymail
OCRmyPDF
ocrmymail | OCRmyPDF | |
---|---|---|
1 | 82 | |
2 | 27,074 | |
- | 32.3% | |
0.0 | 9.1 | |
almost 4 years ago | 13 days ago | |
Go | Python | |
GNU General Public License v3.0 only | Mozilla Public License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ocrmymail
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OCR through mail attachments
OCRmyMail is an SMTP server relay that adds an OCR text layer to PDF mail attachments and sends them to the original recipient. OCRmyPDF is used to do the heavy lifting a.k.a perform the OCR.
OCRmyPDF
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13 GitHub Projects that Supercharge Your AI and Development Journey 🚀
Stars: 19899 Author: ocrmypdf Star the OCRmyPDF repository⭐
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Ask HN: What is the best method for turning a scanned book as a PDF into text?
I haven’t seen anyone else mention this tool yet, but I’ve found great accuracy and flexibility with [OCRmyPDF](https://github.com/ocrmypdf/OCRmyPDF). It (usually) detects and fixes page rotation, and works quite well on slanted text or A | B pages in regards to copying and formatting. I believe it uses tesseract in the background, but using it is very simple and it has the just works factor.
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Z-Library Helps Students to Overcome Academic Poverty, Study Finds
and the good old sci-hub.
For paper management Zotero + https://github.com/ethanwillis/zotero-scihub plugin makes browsing google scholar very efficient.
Also Calibre fulltext search with OCR-ed PDFs:
https://github.com/ocrmypdf/OCRmyPDF
makes learning a concept/finding test exercises even easier.
Soon a local LLM to "RAG retrieval on my library" might be the next step.
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Llama-OCR: An Open-Source Llama 3.2 Based OCR Tool
While I'm a fan of Tika a lot of people get queasy from Java and XML, they might be better served by their preferred scripting language and https://github.com/ocrmypdf/OCRmyPDF, which has the same OCR engine.
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A return to hand-written notes by learning to read and write
I’ve been really impressed with Tesseract - I used it last month to add invisible OCR text to PDFs books I reference a lot (1). My scans are quite good, but I was still impressed with the accuracy.
I also OCRed the TOC, playing with the page segmentation setting (2) in the terminal until I got output I could copy & paste to add a navigable table of contents.
1: https://github.com/ocrmypdf/OCRmyPDF
2: https://tesseract-ocr.github.io/tessdoc/Command-Line-Usage.h..., “ Using different Page Segmentation Modes”
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TextSnatcher: Copy text from images, for the Linux Desktop
Try https://github.com/ocrmypdf/OCRmyPDF - it uses Tesseract behind the scenes and it absolutely brilliant.
- FLaNK Stack Weekly 19 Feb 2024
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Calibre – New in Calibre 7.0
I recommend running any such PDFs through OCRmyPDF.
https://github.com/ocrmypdf/OCRmyPDF
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A better document viewer
If by "like a photocopy" you mean the file contains images of text rather than text, the MacOS viewer presumably does OCR on the images. I don't know if there's a Linux document viewer with that capability built-in, but a quick search turned up the standalone tool OCRmyPDF.
- Gibts ein (CLI) tool, das Kontrast und Helligkeit von gescannten Textdokumenten dynamisch anpasst?
What are some alternatives?
inbucket - Disposable webmail server (similar to Mailinator) with built in SMTP, POP3, RESTful servers; no DB required.
PaddleOCR - Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)
imap-pdf-ocr - IMAP Processor for running OCR on every PDF
tesserocr - A Python wrapper for the tesseract-ocr API
go-smtp - 📤 An SMTP client & server library written in Go
pdfplumber - Plumb a PDF for detailed information about each char, rectangle, line, et cetera — and easily extract text and tables.