Building an End-to-End OCR Pipeline with Baidu Unlimited-OCR for High-Resolution Images and Multi-Page PDFs
Baidu
This tutorial demonstrates building a complete OCR workflow using Baidu's Unlimited-OCR model for document images and multi-page PDFs. It covers GPU environment setup, model loading, single-page inference in Gundam and Base modes, and multi-page PDF parsing with PyMuPDF.
The tutorial builds a complete workflow for Baidu's Unlimited-OCR model on document images and multi-page PDFs. It configures GPU environment, installs dependencies, and loads the 3B-parameter vision-language model with automatic dtype selection. It generates structured sample documents for testing. The workflow evaluates both tiled Gundam inference mode and faster Base mode for single-page OCR before extending to multi-page PDF parsing with PyMuPDF and infer_multi(). It preserves long-context generation settings, repetition controls, and structured output handling to process dense layouts, tables, paragraphs, and cross-page content. The final cheat sheet summarizes recommended modes for different document types.
- Сокращения
- OCR = Optical Character Recognition — оптическое распознавание символов
- GPU = Graphics Processing Unit — графический процессор
- PDF = Portable Document Format — переносимый формат документов
Source: MarkTechPost —
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