Tag: #document-ai

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• The Block-Level Confidence Scores in Mistral OCR 4.1 — The Value That Decides Where People Go in a Document Pipeline

  Mistral released OCR 4.1 with paragraph-level bounding boxes, structural block labels, and block-level confidence scores. For anyone who has built a document pipeline, the third one is what matters, because confidence sc

  2026-08-14 · 6 min read #ocr#document-ai#data-pipeline#human-in-the-loop#cost-optimization

• OCR and Document Understanding Technical Reports: What to Read, and Why Parsing Is Not Finished

  Ten OCR and document understanding technical reports, each verified by opening the arXiv abstract page directly. From Donut and Nougat through GOT-OCR2.0, olmOCR, DeepSeek-OCR and its successor, GLM-OCR, Qianfan-OCR, Min

  2026-08-12 · 7 min read #ai-papers#paper-review#technical-report#ocr#document-ai

• Document AI / OCR in 2026 — Mistral OCR / Marker / Surya / LlamaParse / Docling / OlmoOCR Deep Dive

  Document AI in 2026 is no longer "extract text with Tesseract." Purpose-built APIs like Mistral OCR (March 2025), open-source PDF-to-Markdown engines like Marker / Surya / Docling / OlmoOCR, pretrained document models li

  2026-05-15 · 19 min read #ocr#document-ai#pdf#mistral-ocr#marker

• The Complete Guide to Multimodal LLMs: Vision, Document Understanding, OCR, Video, Audio, and the Specifics of Korean (2025)

  The text-only era is over. In 2025, LLMs handle images, documents, video, and audio naturally. GPT-4o/Claude 3.5/Gemini/Qwen2-VL/Pixtral compared, Document AI and layout understanding, the modernization of OCR, video and

  2026-04-15 · 14 min read #multimodal#vision-llm#document-ai#ocr#whisper