Multimodal OCR2

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Multimodal OCR2 is a Data & Analytics tool that extracts text from images using various OCR models. It allows users to upload an image, provide an instruction, and select an OCR engine to recognize text or format markdown.

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At a glance

Pricing

Free · Usage-based

Free tier

Yes

API

Skill level

Technical

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About

What is Multimodal OCR2?

Multimodal OCR2 is an optical character recognition tool available on Hugging Face, designed for extracting text from images. Users can upload an image, provide a short instruction, and then choose from several OCR models, including FireRed, Nanonets, Monkey, Thyme, Typhoon, and SmolDocling. The application reads the image and returns the recognized text, or formatted markdown when using a document-conversion model. This tool is ideal for developers and data scientists who need to process visual data and convert it into structured text for further analysis or integration into other applications.

Best used for

Ideal for developers and data scientists who need to extract text from images, convert image-based content to editable text, and process visual data for various applications. Especially valuable for those working with diverse document types and requiring flexible OCR model selection.

Common actions

extract text from images

convert image to text

process visual data

format text to markdown

Content generationAutomationAI chatbotsTask automationfun toolsaiEducation

Capabilities

Key features

Image upload
Instruction input
Multiple OCR models
Text recognition
Markdown formatting

Target Audience

developerdata scientist

Integrations

Not yet documented

Pricing & Plans

Free · Usage-based

Free

FAQs

What OCR models are available in Multimodal OCR2?

Multimodal OCR2 offers a selection of OCR models for text recognition, including FireRed, Nanonets, Monkey, Thyme, Typhoon, and SmolDocling. Users can choose the most suitable model based on their specific image and instruction requirements.

Can Multimodal OCR2 convert recognized text into markdown?

Yes, when using a document-conversion model within Multimodal OCR2, the application is capable of returning the recognized text in a formatted markdown output. This feature is useful for structuring extracted content.

Is there a cost associated with using Multimodal OCR2?

Multimodal OCR2 is hosted on Hugging Face Spaces and is free to use. However, users can opt for paid hardware upgrades for their Spaces on Hugging Face, which may incur costs depending on the chosen compute resources.

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Business Intelligence Predictive Analytics Data Labeling & Annotation Real-Time Analytics Market Research Data Pipelines & Integration

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Also listed in

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Productivity & Business › Document Management

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