https://ocrbench.app/blog/ Guides and deep-dives on benchmarking LLMs for OCR and field-value extraction — accuracy, cost, and latency, measured on your own documents. en https://ocrbench.app/blog/cer-vs-field-accuracy/ https://ocrbench.app/blog/cer-vs-field-accuracy/ Wed, 24 Jun 2026 00:00:00 GMT Character error rate is the classic OCR metric — and the wrong one for structured field extraction. Play with a live invoice, watch CER and field-level accuracy disagree, and see why one maps to business impact and the other doesn't. ocr evaluation metrics accuracy https://ocrbench.app/blog/llm-ocr-cost-calculator/ https://ocrbench.app/blog/llm-ocr-cost-calculator/ Wed, 24 Jun 2026 00:00:00 GMT Token-based pricing makes LLM document extraction hard to budget. This interactive calculator turns input/output tokens and per-million prices into a real cost per document, per 1,000 documents, and per year — with the exact formula shown. ocr llm cost pricing calculator https://ocrbench.app/blog/how-to-choose-an-ocr-extraction-model-2026/ https://ocrbench.app/blog/how-to-choose-an-ocr-extraction-model-2026/ Tue, 23 Jun 2026 00:00:00 GMT Traditional OCR, vision LLMs, or a specialized document-AI API? A practical, vendor-neutral framework for picking the model that reads your documents — scored on accuracy, cost, and latency, not on someone else's leaderboard. ocr llm document-extraction guides https://ocrbench.app/blog/how-ocr-bench-scores-extraction/ https://ocrbench.app/blog/how-ocr-bench-scores-extraction/ Tue, 16 Jun 2026 00:00:00 GMT Diffing strings is a terrible way to grade an LLM. Here's the normalization-and-comparison engine OCR Bench uses to turn raw model output into a fair, per-field verdict — with dates, currency, and numbers handled properly. ocr llm evaluation normalization metrics https://ocrbench.app/blog/introducing-ocr-bench/ https://ocrbench.app/blog/introducing-ocr-bench/ Wed, 10 Jun 2026 00:00:00 GMT Stop picking document-extraction models by vibes. OCR Bench runs every model that matters over your own documents and ranks them on accuracy, cost, and latency — one scorecard, real numbers. ocr llm benchmarking document-extraction