Parseur
parseur.com › home › blog › what is key information extraction (kie)? a complete guide
What is Key Information Extraction (KIE)? A Complete Guide | Parseur®
2 weeks ago - In short, KIE means turning raw, ... Information Extraction (KIE) process is a multi-layered workflow that transforms raw, unstructured text into clean, structured, and actionable data....
GitHub
github.com › CVHub520 › X-AnyLabeling › blob › main › examples › optical_character_recognition › key_information_extraction › README.md
X-AnyLabeling/examples/optical_character_recognition/key_information_extraction/README.md at main · CVHub520/X-AnyLabeling
Key Information Extraction (KIE) involves extracting essential information from images, such as retrieving a name and ID number from an ID card.
Author CVHub520
Basic Information Extraction?
Entity Extraction within our Text Analysis API will extract mentions of people, places etc. - http://aylien.com/entity-extraction
You can sign up and use it for free @ http://developer.aylien.com/signup
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March 14, 2015LLM for information extraction
Give it an example JSON output and/or start the JSON and let it complete it e.g. { "actual_key": More on reddit.com
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May 31, 2023Targeted Summarization - A tool for information extraction
Very cool use of ST library.
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January 25, 2023[Project] Guidance on Key Information Extraction for financial statements
Hey, I haven't tried your papers, but we do use SDMGR which is using both visual and textual features. Before it, we were using visual only, but SDMGR is way better. Check it out, from the mmocr package. It takes OCR (or in your case, if the PDFs are nicer, raw texts), and for each text block:
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takes some sort of text embedding - via LSTM branch
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takes visual features (i think pretrained resnet), for the center pixel.
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Several graph layers, where you have every node to every node attention.
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Finally, node classification - in your case you would classify categories such as "total", "date", "income type"
We are not using it, but it does support edge classification as well, so your edges might be {'None', 'Belong to same line-tuple', 'Belong to same total-tuple'}. I'm not sure what you do if you have e.g. Node1, Node2, Node3, and edge(1,2) = 0.8, edge(2,3)=0.9, edge(1,3)=0.1 though...
Please do let me know if you try out multiple papers. We stuck with the first thing that worked reasonably well, and I don't have the time to play around; but if I knew for sure one was better, it would be nice.
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January 6, 2022What is Key Information Extraction (KIE)?
KIE automatically identifies and extracts essential data fields from documents, turning unstructured text into structured, actionable data. Unlike OCR, KIE explains context and meaning, such as recognizing invoice totals, contract dates, or customer names.
parseur.com
parseur.com › home › blog › what is key information extraction (kie)? a complete guide
What is Key Information Extraction (KIE)? A Complete Guide | Parseur®
What documents can key information extraction process?
KIE can process any document that contains structured or semi-structured data, including invoices, receipts, contracts, tax forms, medical records, purchase orders, shipping documents, and application forms. AI-powered tools handle any document type without per-format configuration.
lido.app
lido.app › blog › key-information-extraction
What Is Key Information Extraction? (2026 Guide)
How have LLMs changed key information extraction?
Large language models allow KIE tools to understand document content at a deeper level, extracting the correct fields without explicit training on each document type. LLMs handle ambiguous layouts, new formats, and context-dependent data more accurately than earlier machine learning approaches.
lido.app
lido.app › blog › key-information-extraction
What Is Key Information Extraction? (2026 Guide)
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Turn Unstructured Data Into Actionable Intelligence - YouTube
25:52
How to Evaluate Document Extraction - YouTube
13:33
Extract key Information from Document using Hugging Face DocQuery ...
Extract Key Information From Documents Using DocQuery ...
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How to Use NLP for Document Information Extraction! #pythontutorial ...
28:41
Extract Key Information from Documents using LayoutLM | LayoutLM ...
arXiv
arxiv.org › abs › 2503.05488
[2503.05488] KIEval: Evaluation Metric for Document Key Information Extraction
March 26, 2025 - Abstract:Document Key Information Extraction (KIE) is a technology that transforms valuable information in document images into structured data, and it has become an essential function in industrial settings.
Nature
nature.com › scientific reports › articles › article
Large language model driven transferable key information extraction mechanism for nonstandardized tables | Scientific Reports
August 14, 2025 - We propose the Large Language Model Driven Transferable Key Information Extraction Mechanism (LLM-TKIE), which employs text detection to identify relevant regions in document images, followed by text recognition to extract content. An LLM then performs semantic reasoning, including completeness verification and key information extraction, before organizing data into structured formats.
Lido
lido.app › blog › key-information-extraction
What Is Key Information Extraction? (2026 Guide)
1 month ago - Key information extraction (KIE) is the process of automatically identifying and pulling specific data fields from documents, such as names, dates, amounts, and terms, and organizing them into structured data that your systems can use.
Quantiphi
quantiphi.com › blog › from-documents-to-insights-how-multimodal-llms-elevate-key-information-extraction-kie
From Documents to Insights: How Multimodal LLMs Elevate Key Information Extraction (KIE) - Quantiphi - Quantiphi
May 28, 2026 - Key Information Extraction (KIE) is a fundamental process in document processing that involves identifying and extracting essential data points from unstructured or semi-structured documents.
GitHub
github.com › entropy2333 › awesome-key-information-extraction
GitHub - entropy2333/awesome-key-information-extraction: A curated list of papers about key information extraction. · GitHub
PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks
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Kili Technology
kili-technology.com › blog › efficient-key-information-extraction-for-document-processing-2024-guide
Efficient Key Information Extraction for Document Processing [2024 Guide]
March 12, 2024 - In this article, we will tackle ... Extraction (KIE) plays a pivotal role in automatically pinpointing and harvesting crucial data from unstructured or semi-structured documents....
Readthedocs
mmocr.readthedocs.io › en › v0.4.0 › kie_models.html
Key Information Extraction Models — MMOCR 0.4.0 documentation
We model document images as ... neighboring text regions. The key information extraction is solved by iteratively propagating messages along graph edges and reasoning the categories of graph nodes....
arXiv
arxiv.org › abs › 2408.06345
[2408.06345] Deep Learning based Key Information Extraction from Business Documents: Systematic Literature Review
July 18, 2025 - Extracting key information from documents represents a large portion of business workloads and therefore offers a high potential for efficiency improvements and process automation. With recent advances in Deep Learning, a plethora of Deep Learning based approaches for Key Information Extraction have been proposed under the umbrella term Document Understanding that enable the processing of complex business documents.
Parseur
parseur.com › home › blog › key information extraction (kie) vs ocr - what’s the difference?
Key Information Extraction (KIE) vs OCR - What’s the Difference? | Parseur®
October 7, 2025 - Key Information Extraction (KIE) is the AI-driven process of identifying and extracting meaningful fields from documents, whereas Optical Character Recognition (OCR) simply converts images of text into machine-readable characters without ...
ACM Computing Surveys
dl.acm.org › doi › 10.1145 › 3749369
Deep Learning Based Key Information Extraction from Business Documents: Systematic Literature Review | ACM Computing Surveys
One of the most studied document processing task in this regard is Key Information Extraction (KIE) [73], which is concerned with extracting specific named entities from documents in a structured form [99].
World Scientific
worldscientific.com › doi › 10.1142 › S2196888824500131
Key Information Extraction and Recognition from Rich Text Images | Vietnam Journal of Computer Science
The process of extracting information from documents involves crucial tasks like Line Item Recognition (LIR), Key Information Extraction (KIE), and Key Information Localization and Extraction (KILE).1,2 More specifically, the objective of LIR involves retrieving line items, structuring them into groups (considering them as components of a singular purchase like “item name”, “item price”, “item price”, etc.), and subsequently extracting essential details linked to these items (see the right figure of Fig.
PaddlePaddle
paddlepaddle.github.io › PaddleOCR › v2.9 › en › ppstructure › blog › how_to_do_kie.html
Key Information Extraction Pipeline - PaddleOCR Documentation
Key information extraction (KIE) refers to extracting key information from text or images. As the downstream task of OCR, KIE of document image has many practical application scenarios, such as form recognition, ticket information extraction, ID card information extraction, etc.
arXiv
arxiv.org › abs › 2106.14624
[2106.14624] Key Information Extraction From Documents: Evaluation And Generator
June 9, 2021 - Abstract:Extracting information from documents usually relies on natural language processing methods working on one-dimensional sequences of text. In some cases, for example, for the extraction of key information from semi-structured documents, such as invoice-documents, spatial and formatting information of text are crucial to understand the contextual meaning.
ACL Anthology
aclanthology.org › 2022.pandl-1.2
Key Information Extraction in Purchase Documents using Deep Learning and Rule-based Corrections - ACL Anthology
However, DL commonly relies on the availability of large data annotations, so other alternative or complementary pattern-based techniques can help to improve results. In this paper, we build upon Key Information Extraction (KIE) in purchase documents using both DL and rule-based corrections.
DEV Community
dev.to › mrzaizai2k › real-life-key-information-extraction-p1-dont-over-complicate-things-39o9
Practical Approaches to Key Information Extraction (Part 1) - DEV Community
February 16, 2025 - In this blog, we explored how to extract key information from invoices by combining LLMs and OCR, while also optimizing processing time, minimizing token usage, and improving multilingual support. By incorporating PaddleOCR and a zero-shot language detection model, we boosted both accuracy and reliability across different formats and languages.
Emergent Mind
emergentmind.com › topics › key-information-extraction-kie
Key Information Extraction (KIE)
November 24, 2025 - Key Information Extraction (KIE) is the process of automatically identifying, localizing, and structuring salient semantic content—typically field values, entities, and their relations—from unstructured or semi-structured documents such ...
Thunderbit
thunderbit.com › blog › key-information-extraction
Unlock Key Information Extraction for Workflow Efficiency
May 5, 2026 - Let’s start with the basics. Key information extraction is all about automatically finding and pulling out the important details from documents, web pages, PDFs, emails, or even images, and turning them into structured, usable data.
Springer
link.springer.com › home › document analysis and recognition - icdar 2023 › conference paper
A Character-Level Document Key Information Extraction Method with Contrastive Learning | Springer Nature Link (formerly SpringerLink)
Key information extraction (KIE) from documents has become a major area of focus in the field of natural language processing. However, practical applications often involve documents that contain visual elements, such as icons, tables, and images, ...