Parsr
WantWords
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Parsr | WantWords | |
---|---|---|
7 | 8 | |
5,645 | 6,914 | |
1.0% | 0.0% | |
4.6 | 0.0 | |
5 months ago | about 2 years ago | |
JavaScript | JavaScript | |
Apache License 2.0 | - |
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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
WantWords
- 吹爆清华出的“据意查句”这个神器: http://wantquotes.net/ ,你只需要输入描述,就可以找到相应的名言名句!
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推荐几个写作必备小助手
反向辞典: http://wantwords.net
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成語 resources
Try this:https://wantwords.net/ you can input EN and it will be output Chinese with both words and 成语
- Want Words: English Reverse Dictionary
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This weekend working on "Need Words?", an app that returns words semantically matching the query descriptions. Basically, it solves the tip-of-the-tongue problem, the phenomenon of failing to retrieve a word from memory. The app is using https://t.co/VPrl6oHgEw under the hood. https://t.co/9RBnjamc
Citing the backend: https://github.com/thunlp/WantWords
- An open-source online reverse dictionary
- An open source, online reverse dictionary
What are some alternatives?
grobid - A machine learning software for extracting information from scholarly documents
TagUI - Free RPA tool by AI Singapore
Teedy - Lightweight document management system packed with all the features you can expect from big expensive solutions
culltype - Multi-language minimalist typing test
unstructured - Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
franc - Natural language detection
Ambar - :mag: Ambar: Document Search Engine
nlp.js - An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more
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.
wink-nlp - Developer friendly Natural Language Processing ✨
gpt4-pdf-chatbot-langchain - GPT4 & LangChain Chatbot for large PDF docs
nlp_compromise - modest natural-language processing