CC-OCR

CC-OCR is a benchmark for reading and parsing real documents. The official description says: "CC-OCR - comprehensive OCR benchmark across diverse content". Below we describe in simple words what benchmarks of this type generally examine.

CC-OCR measures reading and parsing real documents. In detail, it checks:

• extracting structured text from scans, PDFs and photos
• keeping tables, headings and reading order intact
• answering comprehension questions about the document content
• handling noisy layouts, handwriting and multi-page documents

The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better.

Official methodology note: CC-OCR - comprehensive OCR benchmark across diverse content.

What is the CC-OCR benchmark?

CC-OCR is a benchmark for reading and parsing real documents. The official description says: 'CC-OCR - comprehensive OCR benchmark across diverse content'. Below we describe in simple words what benchmarks of this type generally examine.

What does CC-OCR test?

CC-OCR mainly measures reading and parsing real documents. Concretely, it checks: extracting structured text from scans, PDFs and photos; keeping tables, headings and reading order intact; answering comprehension questions about the document content.

How is the CC-OCR score calculated?

The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better. The declared maximum score of this benchmark is 100.0.

Where do I get CC-OCR data and scores?

The official benchmark page/reference is linked on this page. Every score on Open LLM Radar is also available as open data: download the scores JSON (http://open-llm-radar-api:8000/api/v1/benchmarks/cc-ocr/scores) or pull it directly from the Open LLM Radar API with any HTTP client.