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Document Automation

We benchmark leading OCR solutions, LLMs and intelligent document processing (IDP) platforms for accuracy and efficiency in document automation.

Test Automation Documentation with Best Practices 

Document AutomationMar 6

Test automation is vital for ensuring the quality and reliability of applications in software testing and development. Businesses and QA teams are transitioning from manual testing to automation testing as it can: [aim_list] [/aim_list] What often goes overlooked is the role of effective documentation in maximizing the benefits of test automation.

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Document AutomationMar 3

AP AI Applications & Tools for Accounts Payable Processes

Manual accounts payable processes are often slowed down by preventable issues such as fraud exposure, data entry mistakes, delayed approvals, and limited visibility into spending. AI-driven AP solutions address these pain points by automating routine tasks, improving accuracy, and creating clearer oversight across the payment cycle.

Document AutomationFeb 5

State of OCR technology in 2026: Is it dead or a solved problem?

Optical Character Recognition (OCR) is one of the earliest areas of artificial intelligence research. Today, OCR is a relatively mature technology, and it is no longer called AI, which is a good example of Pulitzer Prize winner Douglas Hofstadter’s quote: AI is whatever hasn’t been done yet.

Document AutomationJan 28

OCR Benchmark: Text Extraction / Capture Accuracy

OCR accuracy is critical for many document processing tasks, and SOTA multi-modal LLMs are now offering an alternative to OCR.

Document AutomationJan 23

Receipt OCR Benchmark with LLMs

Extracting data from receipts is essential for businesses, as millions of employees submit their work-related expenses via receipts. With the latest developments in generative AI and large language models, data extraction accuracy has reached a level comparable to that of humans.

Document AutomationJan 22

Invoice OCR Benchmark: Extraction Accuracy of LLMs vs OCRs

Invoice processing is a critical yet labor-intensive business operation that traditionally requires manual data extraction and entry into accounting systems. This manual approach is time-consuming and susceptible to human error.

Document AutomationJan 22

Handwriting Recognition Benchmark: LLMs vs OCRs

OCR tools achieve over 99% accuracy on typed text in high-quality images. However, handwriting remains challenging due to variations in style, spacing, and irregularities. We introduce a cursive handwriting benchmark with 100 handwriting samples written by our team to prevent overfitting.

Document AutomationDec 30

Agentic Document Extraction: LandingAI & more in 2026

Agentic Document Extraction (ADE) is a specialized form of Optical Character Recognition (OCR) that extracts data from various file types. It combines document processing, data retrieval, structured output generation, and automation to streamline knowledge work. ADE stands out from traditional OCR by its ability to recognize complex document structures, such as tables, flowcharts, and images.