OCR Text Recognition

Characters on a scanned page have to be read correctly before any model can reason about them. This tag follows layout analysis, multilingual recognition, structured PDF output, and where PaddleOCR and HunyuanOCR part ways.

OCR is no longer just about recognizing characters: the layout engine has to locate titles and table boundaries, two-column pages need a reading order, and one misstep makes downstream QA stitch footnotes into confident-sounding nonsense. PaddleOCR's PP-StructureV3 handles layout and tables, HunyuanOCR covers street scenes and handwriting with about a billion parameters, and DeepSeek-OCR compresses a full page into visual tokens to save context.

What is OCR? Why AI often has to read scanned PDFs, tables, and screenshots before it

OCR is the abbreviation of Optical Character Recognition, which is commonly called optical character recognition in Chinese. What it does is very stra...

Admin 4/9/2026

111

PaddleOCR Comprehensive Understanding: From Multilingual OCR to PDF Parsing and Structured Output (Markdown/JSON)

1. Abstract PaddleOCR is an open-source OCR and document parsing toolbox based on PaddlePaddle, which provides "text recognition + structured extracti...

Admin 1/29/2026

487

HunyuanOCR Open Source: End-to-end multi-scenario OCR expert model with 1B parameters

1. Abstract HunyuanOCR is an end-to-end OCR expert model open-sourced by Tencent's Hunyuan team, based on Hunyuan's native multimodal architecture and...

Admin 11/25/2025

255