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The OCR Wars Heat Up: Baidu Releases PaddleOCR-VL-1.5 to Challenge DeepSeek
2026/01/29

The OCR Wars Heat Up: Baidu Releases PaddleOCR-VL-1.5 to Challenge DeepSeek

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Just days after DeepSeek-OCR 2's release, Baidu's PaddleOCR team strikes back with PaddleOCR-VL-1.5, claiming superior performance in document parsing.

The OCR Wars Heat Up: Baidu Releases PaddleOCR-VL-1.5

Jan 30, 2026

The battle for visual language model (VLM) dominance isn't stopping at LLMs. Just days after DeepSeek released its acclaimed DeepSeek-OCR 2, tech giant Baidu has responded with a major update to its open-source toolkit: PaddleOCR-VL-1.5.

What's New?

Released quietly on GitHub on January 29, 2026, this new version targets the exact same niche as DeepSeek's latest offering: high-precision document parsing and structure extraction.

Initial benchmarks released by the Paddle team suggest that PaddleOCR-VL-1.5 may edge out DeepSeek-OCR 2 in specific tasks:

  • Table Extraction: Claimed 5% higher accuracy on complex financial tables.
  • Efficiency: Optimized for edge deployment, running faster on consumer-grade GPUs.
  • Multilingual Support: Expanded support for mixed-language documents.

DeepSeek OCR 2 vs. PaddleOCR-VL-1.5

FeatureDeepSeek OCR 2PaddleOCR-VL-1.5
Release DateJan 27, 2026Jan 29, 2026
FocusVisual CoT & ReasoningStructure Parsing & Speed
ArchitectureDeepEncoder V2Modified NaViT
Open SourceMIT LicenseApache 2.0

Community Reaction

The timing is undeniable. "It's clearly a response," says one developer on Hacker News. "DeepSeek set a new bar on Tuesday, and Baidu tried to clear it on Thursday."

We are currently running our own internal benchmarks to verify these claims. While DeepSeek-OCR 2 focuses heavily on the "reasoning" aspect of reading (understanding what it reads), Baidu seems to be doubling down on the "structural" accuracy (getting the layout perfect).

Stay tuned for our full comparison review next week.


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Table of Contents

The OCR Wars Heat Up: Baidu Releases PaddleOCR-VL-1.5What's New?DeepSeek OCR 2 vs. PaddleOCR-VL-1.5Community Reaction

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