#java#a11y#accessibility#ai#bounding_box#document_parsing#eaa#html#json#markdown#ocr#ocr_recognition#pdf#pdf_accessibility#pdf_converter#pdf_extraction#pdf_parser#pdf_ua#rag#tables#tagged_pdf
OpenDataLoader PDF is a free, open-source tool (Apache 2.0) that tops benchmarks with 0.90 accuracy for extracting structured data like Markdown, JSON (with bounding boxes), and HTML from any PDF—digital, scanned, or complex with tables, formulas, charts, and OCR in 80+ languages. It runs locally on CPU (0.05s/page fast mode), filters AI prompt injections for safety, integrates with LangChain/RAG, and automates accessibility tagging to Tagged PDF. You save time and costs on parsing for AI pipelines or compliance (vs. $50–200/manual doc), getting precise, private results for better LLM apps and legal standards.
https://github.com/opendataloader-project/opendataloader-pdf
# The standard string repr for dicts is hard to read:
»> my_mapping = {'a': 23, 'b': 42, 'c': 0xc0ffee}
»> my_mapping
{'b': 42, 'c': 12648430. 'a': 23} # 😞
# The "#json" module can do a much better job:
»> import json
»> print(json.dumps(my_mapping, indent=4, sort_keys=True))
{
"a": 23,
"b": 42,
"c": 12648430
}
# Note this only works with dicts containing
# primitive types (check out the "pprint" module):
»> json.dumps({all: 'yup'})
TypeError: keys must be a string
Image to Text OCR is a utility website made by Alejandro Akbal for extracting text from any image using #OCR.
This tool was made for those moments where you take a photo of some text and wish you could have it digitally.
https://github.com/AlejandroAkbal/Image-to-Text-OCR
Online: https://image-to-text-ocr.netlify.app/
https://github.com/tesseract-ocr/tesseract
This package contains an #OCR (Optical character recognition) engine - libtesseract and a command line program - tesseract.
The lead developer is Ray Smith. The maintainer is Zdenko Podobny. For a list of contributors see AUTHORS and github's log of contributors.
#Tesseract has unicode (UTF-8) support, and can recognize more than 100 languages "out of the box". It can be trained to recognize other languages. See Tesseract Training for more information.
Tesseract supports various output formats: plain-text, hocr(html), pdf.
This project does not include a GUI application. If you need one, please see the 3rdParty wiki page.
You should note that in many cases, in order to get better OCR results, you'll need to improve the quality of the image you are giving Tesseract.
OSS Document Scanner
Android Open Source app to #scan all your #documents. You either scan using your camera or by importing an image. The app will automatically detect you document within the photo and will crop the image.
Once the document is created you can detect text within the document using #OCR.
You can also share your document as a #PDF. If you want you can synchronize the app data with a webdav server (like nextloud) to never loose anything!
https://github.com/Akylas/com.akylas.documentscanner
https://apt.izzysoft.de/fdroid/index/apk/com.akylas.documentscanner