tika-docker
PaddleOCR
tika-docker | PaddleOCR | |
---|---|---|
20 | 60 | |
103 | 38,569 | |
4.9% | 2.4% | |
4.1 | 8.7 | |
about 1 month ago | 5 days ago | |
Shell | Python | |
Apache License 2.0 | Apache License 2.0 |
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tika-docker
- Text Extraction from Documents
- Apache Tika – Extract text and metadata from doc types (the backbone of RAG)
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Demystifying Text Data with the Unstructured Python Library
If you accept running Java, the Apache Tika is extremely good at parsing content (https://tika.apache.org/)
- Ajuda com Buscador
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How do you manage and find large amount of files?
Apache Tika can spit out text from lots of formats. I've used it with grep (or rg) to make a small scale searching of local folders. Tika does a really good job at OCR for finding if text is in a file.
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40 Containers & Counting...
https://tika.apache.org Meta data from things.
- Hosted app to manage server inventory
- Best FOSS (ideally Docker) that can split PDF files ?
- OK, ElasticSearch works, text files are indexed. How about images? Can images be indexed in NextCloud and fulltextsearched?
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Document Parsing - an unsolved problem?
At my previous job we had the same problem which we solved by using Tika. We called it on the server along with other stuff, but there is also a Python binding.
PaddleOCR
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Leveraging GPT-4 for PDF Data Extraction: A Comprehensive Guide
PyTesseract Module [ Github ] EasyOCR Module [ Github ] PaddlePaddle OCR [ Github ]
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What is the best repo for hand written text recognition?
My default recommendation for OCR is https://github.com/PaddlePaddle/PaddleOCR but most of the examples there are not handwritten - so I'm not sure how well it'll handle it this time.
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Ask HN: Best way to perform complex OCR task in 2023?
Other than EasyOCR and Tesseract, PaddleOCR (https://github.com/PaddlePaddle/PaddleOCR) is probably the most well known open-source OCR solution.
What are you planning to do with the text after detecting / recognizing it? How fast does the detection / recognition need to be in order to be useful?
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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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How would you go about driving contextual data from images?
For images with text, if you want to do visual qa, document classification, table/key information extraction, checkout https://huggingface.co/blog/document-ai https://github.com/philschmid/document-ai-transformers https://github.com/google-research/pix2struct https://github.com/PaddlePaddle/PaddleOCR/blob/release/2.6/ppstructure/README.md
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OCR at Edge on Cloudflare Constellation
EasyOCR is a popular project if you are in an environment where you can use run Python and PyTorch (https://github.com/JaidedAI/EasyOCR). Other open source projects of note are PaddleOCR (https://github.com/PaddlePaddle/PaddleOCR) and docTR (https://github.com/mindee/doctr).
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Seeking Advice for Improving OCR Accuracy in a Code Snippet Reader Project
I think you can train tesseract with custom data if you have enough, or you can use deep learning models like https://pyimagesearch.com/2020/08/17/ocr-with-keras-tensorflow-and-deep-learning or https://www.google.com/amp/s/nanonets.com/blog/attention-ocr-for-text-recogntion/amp/ or try other existing tools like paddle-ocr https://github.com/PaddlePaddle/PaddleOCR
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How do you parse tables in PDF with langchain? Especially, the context which is few lines above and below the table.
https://huggingface.co/blog/document-ai https://github.com/microsoft/table-transformer https://github.com/google-research/pix2struct https://github.com/PaddlePaddle/PaddleOCR/blob/release/2.6/ppstructure/table/README.md
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unable to install paddleocr on m1 mac
when following the installation commands present in the paddleocr repo(https://github.com/PaddlePaddle/PaddleOCR/blob/release/2.6/doc/doc_en/quickstart_en.md) im still unable to install paddleocr. paddlepaddle is successfully installed on my m1 mac with python3.9.16 but while installing paddleocr im getting this error after long pip backtracking
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Donut: OCR-Free Document Understanding Transformer
When I was evaluating options a few months ago I found https://github.com/PaddlePaddle/PaddleOCR to be a very strong contender for my use case (reading product labels), but you'll definitely want to put together some representative docs/images and test a bunch of solutions to see what works for you.
What are some alternatives?
Paperless-ng - A supercharged version of paperless: scan, index and archive all your physical documents
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
sist2 - Lightning-fast file system indexer and search tool
tesseract-ocr - Tesseract Open Source OCR Engine (main repository)
spyglass - A personal search engine: Create a searchable library from your personal documents, interests, and more!
mmocr - OpenMMLab Text Detection, Recognition and Understanding Toolbox
yew - Rust / Wasm framework for creating reliable and efficient web applications
Tesseract.js - Pure Javascript OCR for more than 100 Languages 📖🎉🖥
spacedrive - Spacedrive is an open source cross-platform file explorer, powered by a virtual distributed filesystem written in Rust.
OCRmyPDF - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched
self-hosted_docker_setups - A collection of my docker-compose files used to setup self-hosted services on Raspberry Pi 4 running 64-bit Raspberry Pi OS
keras-ocr - A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.