FastOCR
Simple Optical Character Recognition service. (by 0x30c4)
Parsr
Transforms PDF, Documents and Images into Enriched Structured Data (by axa-group)
FastOCR | Parsr | |
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1 | 7 | |
10 | 5,656 | |
- | 0.7% | |
0.0 | 4.6 | |
about 1 year ago | 5 months ago | |
Python | JavaScript | |
MIT License | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
FastOCR
Posts with mentions or reviews of FastOCR.
We have used some of these posts to build our list of alternatives
and similar projects.
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Simple and Fast OCR service!
Github Repo. | Live Demo
Parsr
Posts with mentions or reviews of Parsr.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-02-20.
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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
What are some alternatives?
When comparing FastOCR and Parsr you can also consider the following projects:
Teedy - Lightweight document management system packed with all the features you can expect from big expensive solutions
grobid - A machine learning software for extracting information from scholarly documents