- Released
- 9mo ago
- Size
- 959Mparameters
Updated 0.9B PaddleOCR-VL model for robust document parsing of real-world photos and scans.
- Multimodal model
- Open weights · 959M
- Accepts images
How it compares
Frequently asked questions
Running locally
PaddleOCR-VL 1.5 needs an estimated 1.2 GB of VRAM at Q4, 1.7 GB at Q8 and 2.7 GB at FP16, based on its 959M parameters. All VRAM figures are estimates: weights plus about 15% and 0.5 GB for a short context.
Yes. A 24 GB, 16 GB, 12 GB or 8 GB GPU fits PaddleOCR-VL 1.5 at FP16 with an estimated 2.7 GB of VRAM.
Yes. PaddleOCR-VL 1.5 needs an estimated 1.2 GB at Q4, and assuming macOS lets the GPU use about 75% of unified memory, the smallest common Mac memory size that fits the Q4 estimate is 8 GB.
Privacy and data
Yes. PaddleOCR-VL 1.5 has open weights, so you can self-host it for full control of your data.
Capabilities and specs
PaddleOCR-VL 1.5 accepts text and image inputs. Audio, video and PDF are not listed among its input modalities.
Quality and benchmarks
The closest alternatives, matched on model kind and release date with no comparable price, are DeepSeek OCR 2 by DeepSeek, Trinity Large Preview by Arcee AI and Nemotron Content Safety Reasoning 4B by NVIDIA.
DeepSeek OCR 2PaddleOCR-VL 1.5 vs DeepSeek OCR 2Trinity Large PreviewPaddleOCR-VL 1.5 vs Trinity Large PreviewNemotron Content Safety Reasoning 4BPaddleOCR-VL 1.5 vs Nemotron Content Safety Reasoning 4B
Licensing and access
PaddleOCR-VL 1.5 is open weights, released under the Apache 2.0 license.
Yes. PaddleOCR-VL 1.5 uses the Apache 2.0 license, a permissive license that allows commercial use.
The PaddleOCR-VL 1.5 weights are available in the Hugging Face repository PaddlePaddle/PaddleOCR-VL-1.5.
Basics
PaddleOCR-VL 1.5 was made by Baidu and released on January 29, 2026.
Yes. PaddleOCR-VL 1.5 is offered as open weights.
Generated from Vertical Tabs data, updated November 2, 2026.






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