{"repo":"bytedance/Dolphin","free":true,"listed":false,"github":"https://github.com/bytedance/Dolphin","clone":"git clone https://github.com/bytedance/Dolphin.git","description":"The official repo for “Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting”, ACL, 2025.","language":"Python","stars":9049,"topics":["document-analysis","layout-analysis","ocr","parser","pdf","pdf-converter","pdf-parser","python","vlm-ocr"],"license":null,"category":"media-processing","readme_excerpt":"Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting Dolphin-v2 is an enhanced universal document parsing model that substantially improves upon the original Dolphin. It seamlessly handles any document type—whether digital-born or photographed—through a document-type-aware two-stage architecture with scalable anchor prompting. 📑 Overview Document image parsing is challenging due to diverse document types and complexly intertwined elements such as text paragraphs, figures, formulas, tables, and code blocks. Dolphin-v2 addresses these challenges through a document-type-aware two-stage approach: 1. 🔍 Stage 1 : Document type classification (digital vs. photographed) + layout analysis with reading order prediction 2. 🧩 Stage 2 : Hybrid parsing strategy - holistic parsing for photographed documents, parallel element-wise parsing for digital documents Dolphin achieves promising performance across diverse page-level and element-level parsing tasks while ensuring superior efficiency through its lightweight architecture and parallel parsing mechanism. 📅 Changelog - 🔥 2025.12.12 Released Dolphin-v2 model. Upgraded to 3B parameters with 21-element detection, attribute field extraction, dedicated formula/code parsing, and robust photographed document parsing. (Dolphin-1.5 moved to v1.5 branch) - 🔥 2025.10.16 Released Dolphin-1.5 model. While maintaining the lightweight 0.3B architecture, this version achieves significant parsing improvements. (Dolphin 1.0 moved to v1.0","default_branch":null,"files":null,"tree":[],"storefront":"/r/bytedance","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/bytedance/Dolphin/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}