Spaces:
Running
on
Zero
Running
on
Zero
File size: 2,202 Bytes
02ff46f |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 |
---
title: "🙋🏻♂️Welcome to Tonic's🫴🏻📸GOT-OCR"
---
# GOT-OCR Model Overview
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.
### Output Formats
The model can generate results in several formats:
- **Plain Text**
- **Markdown**
- **TikZ diagrams**
- **Molecular SMILES strings**
Additionally, **interactive OCR** enables users to define regions of interest via **coordinates** or **colors**.
## Key Features
- **Plain Text OCR**: Extracts text from images.
- **Formatted Text OCR**: Retains the original formatting, including tables and formulas.
- **Fine-grained OCR**: Offers box-based and color-based OCR for precision in specific regions.
- **Multi-crop OCR**: Handles multiple cropped sections within an image.
- **Rendered Formatted OCR**: Outputs in markdown, TikZ, SMILES, and more, with rendered formatting.
## Supported Content Types
- Plain text
- Math/molecular formulas
- Tables and charts
- Sheet music
- Geometric shapes
## How to Use
1. Select a task from the dropdown menu.
2. Upload an image.
3. (Optional) Adjust parameters based on the selected task.
4. Click **Process** to view the results.
### Model Information
- **Model Name**: GOT-OCR 2.0
- **Hugging Face Repository**: [ucaslcl/GOT-OCR2_0](https://huggingface.co/ucaslcl/GOT-OCR2_0)
- **Environment**: CUDA 11.8 + PyTorch 2.0.1
---
### Join us :
🌟TeamTonic🌟 is always making cool demos! Join our active builder's 🛠️community 👻 [![Join us on Discord](https://img.shields.io/discord/1109943800132010065?label=Discord&logo=discord&style=flat-square)](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 🤗
|