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Document Automation Benchmarks: OCR & Document Processing

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

Explore Document Automation Benchmarks: OCR & Document Processing

Handwriting Recognition Benchmark: LLMs vs OCRs

Document Automation
Jul 2

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. Cursive handwriting benchmark results In this benchmark, GPT-5, Gemini 3 Pro Preview, and olmOCR-2-7B-1025-FP8…

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Document AutomationJul 1

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. To evaluate automated alternatives, we conducted a comparative analysis of leading document processing solutions and LLMs: Amazon Textract API Claude Sonnet 3.5 Docsumo Google Document…

Document AutomationJun 29

Test Automation Documentation with Best Practices 

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: automate repetitive tasks reduce human error shorten testing cycles,8 What often goes overlooked is the role of effective documentation in maximizing the benefits…

Document AutomationJun 29

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. We benchmarked leading OCR services in DeltOCR Bench to identify their accuracy levels in different document types: Handwriting: GPT-5 (%95) stands out as the strongest performer, closely followed by olmOCR-2-7B (%94) and Gemini 2.5 Pro…

Document AutomationJun 17

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

Optical Character Recognition (OCR) is one of the earliest areas of artificial intelligence research. Today, OCR technology is relatively mature and 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.17 In our OCR benchmark, DeltOCR, a large language model, correctly reads…

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