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Jordan Legg
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refactor: make title and description easier to use
Browse files- content/index.md +53 -0
content/index.md
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---
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title: "🙋🏻♂️Welcome to Tonic's🫴🏻📸GOT-OCR"
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---
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# GOT-OCR Model Overview
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The **GOT-OCR model** is a cutting-edge OCR system with **580M parameters**, designed to process a wide range of "characters." Equipped with a **high-compression encoder** and a **long-context decoder**, it excels in both scene and document-style images. The model supports **multi-page** and **dynamic resolution OCR**, enhancing its versatility.
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### Output Formats
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The model can generate results in several formats:
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- **Plain Text**
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- **Markdown**
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- **TikZ diagrams**
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- **Molecular SMILES strings**
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Additionally, **interactive OCR** enables users to define regions of interest via **coordinates** or **colors**.
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## Key Features
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- **Plain Text OCR**: Extracts text from images.
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- **Formatted Text OCR**: Retains the original formatting, including tables and formulas.
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- **Fine-grained OCR**: Offers box-based and color-based OCR for precision in specific regions.
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- **Multi-crop OCR**: Handles multiple cropped sections within an image.
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- **Rendered Formatted OCR**: Outputs in markdown, TikZ, SMILES, and more, with rendered formatting.
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## Supported Content Types
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- Plain text
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- Math/molecular formulas
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- Tables and charts
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- Sheet music
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- Geometric shapes
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## How to Use
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1. Select a task from the dropdown menu.
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2. Upload an image.
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3. (Optional) Adjust parameters based on the selected task.
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4. Click **Process** to view the results.
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### Model Information
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- **Model Name**: GOT-OCR 2.0
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- **Hugging Face Repository**: [ucaslcl/GOT-OCR2_0](https://huggingface.co/ucaslcl/GOT-OCR2_0)
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- **Environment**: CUDA 11.8 + PyTorch 2.0.1
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---
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### Join us :
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🌟TeamTonic🌟 is always making cool demos! Join our active builder's 🛠️community 👻 [](https://discord.gg/qdfnvSPcqP) On 🤗Huggingface:[MultiTransformer](https://huggingface.co/MultiTransformer) On 🌐Github: [Tonic-AI](https://github.com/tonic-ai) & contribute to🌟 [Build Tonic](https://git.tonic-ai.com/contribute)🤗Big thanks to Yuvi Sharma and all the folks at huggingface for the community grant 🤗
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