Parsr
FastOCR
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| Parsr | FastOCR | |
|---|---|---|
| 7 | 1 | |
| 5,645 | 10 | |
| 1.0% | - | |
| 4.6 | 0.0 | |
| 5 months ago | about 1 year ago | |
| JavaScript | Python | |
| Apache License 2.0 | MIT License |
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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.
Parsr
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LlamaCloud and LlamaParse
I'm part of the team that build LlamaParse. It's net improvement compare to other PDF->Structured Text extractors (I build several in the past, includig https://github.com/axa-group/Parsr).
For character extraction, LlamaParse use a mixture of OCR / character extraction from the PDF (it's the only parser I'm aware of that address some of the buggy PDF font issues, check the 'text' mode to see raw document before reconstruction), use a mixture of heuristic and Machine learning models to reconstruct the document.
Once plug with a Recursive retrieval strategy, allow you to get Sota result on question answering over complexe text (see notebook: https://github.com/run-llama/llama_parse/blob/main/examples/...).
AMA
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Issue getting Parsr GUI up and running
Link to the Github Repository and pre defined Docker Compose Build file for Parsr
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PDF GPT allows you to chat with the contents of your PDF file
I would check out https://github.com/Unstructured-IO/unstructured (what lang chain uses) or https://github.com/axa-group/Parsr (probably what unstructured copied to get their startup off the ground lol)
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Converting PDF into HTML: is it possble?
Things I still want to try: - Parsr
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Does anyone know where I can get access to a prebuilt general document understanding model?
I personally haven't used it yet, but I heard some good things about Parsr: https://github.com/axa-group/Parsr
- Turn your (PDF,Image) documents into structured data
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[D] What pdf parser do you use for paragraph parsing for huggingface models
Parsing PDFs is very non-trivial process. Google and Amazon parses are largely based on OCRing. There are some advanced state-of-the-art NN-based OCR approaches but they are not very stable, but a stable industry standard is Tesseract, and nice all-in-one open source tools that brings a ton of tools together is https://github.com/axa-group/Parsr . hope this helps
FastOCR
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Simple and Fast OCR service!
Github Repo. | Live Demo
What are some alternatives?
grobid - A machine learning software for extracting information from scholarly documents
Teedy - Lightweight document management system packed with all the features you can expect from big expensive solutions
docker-nginx-postgres-django-example - Example using Docker, Django, multiple Postgres databases, NginX, Gunicorn, pipenv, GitLab CI and tox.
unstructured - Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
uvicorn-gunicorn-fastapi-docker - Docker image with Uvicorn managed by Gunicorn for high-performance FastAPI web applications in Python with performance auto-tuning.
Ambar - :mag: Ambar: Document Search Engine
meinheld-gunicorn-flask-docker - Docker image with Meinheld and Gunicorn for Flask applications in Python.
deriveODM - DeriveODM is a reactive ODM - Object Document Mapper - framework, a "wrapper" around MongoDB, that removes all the hassle of data-persistence by handling it transparently in the background, in a DRY manner.
uvicorn-gunicorn-docker - Docker image with Uvicorn managed by Gunicorn for high-performance web applications in Python with performance auto-tuning.
gpt4-pdf-chatbot-langchain - GPT4 & LangChain Chatbot for large PDF docs
meinheld-gunicorn-docker - Docker image with Meinheld managed by Gunicorn for high-performance WSGI (Flask, Django, etc) web applications in Python with performance auto-tuning.