donut
OCRmyPDF
| donut | OCRmyPDF | |
|---|---|---|
| 19 | 77 | |
| 5,312 | 12,002 | |
| 2.9% | 2.2% | |
| 3.6 | 9.5 | |
| 6 months ago | 7 days ago | |
| Python | Python | |
| MIT License | Mozilla Public License 2.0 |
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donut
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Ask HN: Why are all OCR outputs so raw?
maybe this is better? https://github.com/clovaai/donut
I'm not sure
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Show HN: BetterOCR combines and corrects multiple OCR engines with an LLM
Yup! But I'm still exploring options. (any recommendations would be welcomed!) Here are some candidates I'm considering:
- https://github.com/mindee/doctr
- https://github.com/open-mmlab/mmocr
- https://github.com/PaddlePaddle/PaddleOCR (honestly I don't know Mandarin so I'm a bit stuck)
- https://github.com/clovaai/donut - While it's primarily an "OCR-free document understanding transformer," I think it's worth experimenting with. Think I can sort this out by letting the LLM reason through it multiple times (although this will impact performance)
- yesterday got a suggestion to consider https://github.com/kakaobrain/pororo - I don't think development is still active but the results are pretty great on Korean text
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New to ML, looking for some GPU and learning material info
I am also interested in experimenting with something like DONUT (https://github.com/clovaai/donut) but I have never seen anything on what the VRAM expectations are for something like this. Does anyone know also if there are any newer better models than this for document parsing as well? Or what the VRAM requirements for something like this tend to be?
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[D] Is there a good ai model for image-to-text where the images are diagrams and screenshots of interfaces?
Here are a few useful resources you could start with: [Pix2Struct by Google Research](https://github.com/google-research/pix2struct) might be a valuable tool, although it will most likely need some fine-tuning to fit your specifics. You can also find some fine-tuned models on HuggingFace by searching 'pix2struct'. Another option worth considering is [DonutI](https://github.com/clovaai/donut). Like Pix2Struct, fine-tuning likely needed to meet your requirements. Tesseract OCR is another alternative, particularly for handling text. It's primarily designed for pages of text, think books, but with some tweaking and specific flags, it can process tables as well as text chunks in regions of a screenshot. Bit too much tweaking for my taste. As I'm also in search of OCR tools for UI and chart screenshots, so share if you find something else.
- How to Automate Document Extraction from Insurance Documents
- FLaNK Stack Weekly 29 may 2023
- Donut: OCR-Free Document Understanding Transformer
OCRmyPDF
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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?
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OCR for a full pdf on Neoreader
For anyone interested I solved the problem by first ocr files through the free and open source software ocrmypdf avaible here
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ELI5: why is PDF such a widespread text format, instead of a format that's actually easier to edit?
ocrmypdf is nice for stuff like that.
- Donut: OCR-Free Document Understanding Transformer
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massive crop and OCR newspaper
Use imagemagick to convert them to PDF and ocrmypdf to straighten and OCR. See this explanation.
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OCR pdf and just keep the OCR text
Fair enough, maybe this might work for you, it should seperate the text from image anyway and if you have Adobe acrobat it should be able delete the background too with the edit function. It may already be able to do that if you haven't tried it
What are some alternatives?
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)
image-to-sound-python- - A python project for converting an Image into audible sound using OCR and speech synthesis
pdfplumber - Plumb a PDF for detailed information about each char, rectangle, line, et cetera — and easily extract text and tables.
qlora - QLoRA: Efficient Finetuning of Quantized LLMs
tesserocr - A Python wrapper for the tesseract-ocr API
CascadeTabNet - This repository contains the code and implementation details of the CascadeTabNet paper "CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents"
Paperless-ng - A supercharged version of paperless: scan, index and archive all your physical documents
Multi-Type-TD-TSR - Extracting Tables from Document Images using a Multi-stage Pipeline for Table Detection and Table Structure Recognition:
invoice2data - Extract structured data from PDF invoices
deepdoctection - A Repo For Document AI
pdfminer.six - Community maintained fork of pdfminer - we fathom PDF