parsee-pdf-reader
table-transformer
| parsee-pdf-reader | table-transformer | |
|---|---|---|
| 1 | 9 | |
| 23 | 1,869 | |
| - | 8.3% | |
| 8.3 | 6.1 | |
| 5 days ago | 5 months ago | |
| Python | Python | |
| MIT License | MIT License |
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parsee-pdf-reader
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Parsee.ai – a framework to easily extract complex structured data with LLMs
Yes, another LLM framework. This one is specialized on extracting structured data from various document types (mainly PDFs, images and HTML files).
Comes with a new (separate) PDF extraction library that is focused on the extraction of numeric tables (tables with numbers, so especially for the financial domain): https://github.com/parsee-ai/parsee-pdf-reader
Helps to easily set up a dataset to evaluate the performance of various LLMs on data extraction tasks, e.g. extracting revenue figures from financial reports: https://github.com/parsee-ai/parsee-datasets/tree/main/datas...
table-transformer
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Data extraction from pdf
Saw this last time but never played with it https://github.com/microsoft/table-transformer
- FLaNK Stack Weekly 11 Dec 2023
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[P] OCR + Table Extraction Advice
Have you tried the SOTA on Table Detection and Extraction with out of the box model weights?
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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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[D] Unimpressive improvement in training speed after upgrading from GTX 980 Ti to RTX 4090
GPU is at 100% although a bit spiky (dropping occasionally to 50%), I expect that to be normal? I use the same configuration as the authors, num_workers is set to 1 https://github.com/microsoft/table-transformer/blob/main/src/structure_config.json . Data is on a separate SSD, C-drive is a NVMe SSD
- Microsoft TableTransformer
- DeepDoctection
What are some alternatives?
pix2struct
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"
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)
FLaNK-Ice - Apache Iceberg - Cloud Data Lakehouse
llama - Inference code for Llama models
camelot - Camelot: PDF Table Extraction for Humans
doctr - docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.
KaNiaFi - Processor and Service Implementation to manage Kanashi request response results using Apache NiFi or Niagara Files
furnace - a multi-system chiptune tracker compatible with DefleMask modules
trippy - A network diagnostic tool
Amphion - Amphion (/æmˈfaɪən/) is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get started in the field of audio, music, and speech generation research and development.
FLaNK-ContinuousSQL