Vision Language Models (VLMs) for OCR

Explore Vision Language Models (VLMs) you can use for optical character recognition (OCR).

Deploy select models (i.e. YOLOv8, CLIP) using the Roboflow Hosted API, or your own hardware using Roboflow Inference.

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PaliGemma

PaliGemma is a vision language model (VLM) by Google that has multimodal capabilities.

Vision Language

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GPT-4o

GPT-4o is OpenAI’s third major iteration of GPT-4 expanding on the capabilities of GPT-4 with Vision

Vision Language

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Qwen2.5-VL

Qwen2.5-VL is a multimodal vision-language model developed by the Qwen team at Alibaba Cloud.

Vision Language

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Moondream 2

Moondream 2 is the latest model in the Moondream series of “tiny vision language models”.

Deploy with Roboflow

GPT-4.1

GPT-4.1 is a multimodal model developed by OpenAI that comes in three sizes: GPT-4.1, mini, and nano.

Deploy with Roboflow

Claude 3.7 Sonnet

Claude 3.7 is a multimodal "hybrid reasoning" model developed by Anthropic.

Deploy with Roboflow

Gemma 3

Gemma 3 is a multimodal language model developed by Google.

Deploy with Roboflow

OpenAI o3-mini

OpenAI o3-mini is a multimodal reasoning model developed by OpenAI.

Vision Language

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PaliGemma-2

PaliGemma-2 is a multimodal model developed by Google.

Vision Language

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Florence 2

Florence-2 is a lightweight vision-language model open-sourced by Microsoft under the MIT license.

Open Vocabulary Object Detection

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Google Gemini

Gemini is a family of Large Multimodal Models (LMMs) developed by Google Deepmind focused specifically on multimodality.

Vision Language

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Anthropic Claude 3

Vision Language

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GPT-4 with Vision

GPT-4 with Vision is a multimodal language model developed by OpenAI.

Object Detection

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Visual Question Answering

Image Similarity

Image Captioning

Zero-shot Detection

Real-Time Vision

Image Embedding

LLMS with Vision Capabilities

Multimodal Vision

Foundation Vision