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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
Benchmark
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. In this benchmark, GPT-5, Gemini 3 Pro Preview, and olmOCR-2-7B-1025-FP8 are the top-performing models,…

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Document Automation
Benchmark
Jul 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: Our study assessed these tools’ capabilities in accurately extracting…

Document Automation
Insight
Jun 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: What often goes overlooked is the role of effective documentation in maximizing the benefits of test automation. We explore the importance of test…

Document Automation
Benchmark
Jun 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: The full names of the above products and their versions in use as of November 2025 are listed…

Document Automation
Insight
Jun 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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