{"id":26661426,"url":"https://github.com/piyush-poddar/platextract","last_synced_at":"2026-04-30T18:31:27.165Z","repository":{"id":268623933,"uuid":"904832513","full_name":"piyush-poddar/PlateXtract","owner":"piyush-poddar","description":"Extract any vehicle's number plate text with over 98% accuracy.","archived":false,"fork":false,"pushed_at":"2025-03-03T12:15:59.000Z","size":60364,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-03-25T13:17:36.516Z","etag":null,"topics":["gemini-api","opencv-python","python","streamlit","yolov3"],"latest_commit_sha":null,"homepage":"https://platextract.streamlit.app","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/piyush-poddar.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-12-17T16:28:28.000Z","updated_at":"2025-03-03T12:16:02.000Z","dependencies_parsed_at":"2025-03-02T11:34:11.265Z","dependency_job_id":null,"html_url":"https://github.com/piyush-poddar/PlateXtract","commit_stats":null,"previous_names":["piyush-poddar/platextract"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/piyush-poddar/PlateXtract","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/piyush-poddar%2FPlateXtract","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/piyush-poddar%2FPlateXtract/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/piyush-poddar%2FPlateXtract/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/piyush-poddar%2FPlateXtract/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/piyush-poddar","download_url":"https://codeload.github.com/piyush-poddar/PlateXtract/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/piyush-poddar%2FPlateXtract/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32473804,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-30T13:12:12.517Z","status":"ssl_error","status_checked_at":"2026-04-30T13:12:06.837Z","response_time":57,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["gemini-api","opencv-python","python","streamlit","yolov3"],"created_at":"2025-03-25T13:17:41.094Z","updated_at":"2026-04-30T18:31:27.149Z","avatar_url":"https://github.com/piyush-poddar.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# PlateXtract\n\n## 📌 Overview\n\nPlateXtract is an Automatic License Plate Recognition (ALPR) system that detects and extracts vehicle license plate numbers from images with high accuracy. The system uses a YOLOv3 model for plate detection and Google Gemini API for OCR, achieving over **98% accuracy** in reading license plates.\n\n🔥 **Live Demo Available!** PlateXtract is deployed on Streamlit, making it easy to use with a simple web-based interface.\n\n## 🌐 Deployment\n\nYou can try PlateXtract live on Streamlit:\n\n👉 **https://platextract.streamlit.app**\n\n## ✨ Features\n\n- 🚗 **High-Accuracy Plate Detection**: Utilizes a YOLOv3 model to detect vehicle license plates.\n \n- 🔠 **OCR for Text Extraction**: Uses Google Gemini API to extract text from detected plates.\n\n- 📊 **Real-Time Processing**: Processes images efficiently for real-time applications.\n\n- 🖼️ **Supports Multiple Image Formats**: Works with various image types for flexibility.\n\n## 🛠️ Tech Stack\n\n- **Python** - Backend processing\n \n- **YOLOv3 Model** - License plate detection\n \n- **Google Gemini API** - OCR for text extraction\n \n- **OpenCV** - Image processing\n\n- **Streamlit** - User Interface\n\n## 🚀 Installation\n\n1. Clone the repository:\n```Bash\ngit clone https://github.com/piyush-poddar/PlateXtract.git\n\ncd PlateXtract\n```\n\n2. Install required dependencies:\n```Bash\npip install -r requirements.txt\n```\n\n3. Download model weights from this [link](https://drive.google.com/uc?id=1Qlcv7vcyWn9UsKsjqHat4V_CuVh5Lggs) and put it inside `model/weights` directory. Alternatively, you can skip this step allow the code itself to do it for you.\n\n4. Add your Gemini API key in `.streamlit/secrets.toml`.\n\n5. Run the Streamlit App:\n```Bash\nstreamlit run app.py\n```\n\n## 📌 Usage\n\n- Provide an image of a vehicle with number plate.\n\n- The model detects the license plate and extracts the number.\n\n- The extracted text is displayed as output.\n\n## 🔮 Future Enhancements\n\n- 🚀 Implementing real-time detection via a webcam or video feed.\n\n- 🛣️ Integration with traffic monitoring and law enforcement systems.\n\n- 🌍 Support for multiple languages in OCR.\n\n## 🤝 Contributing\n\n1. Fork the repo and create a new branch.\n\n2. Make improvements and test thoroughly.\n\n3. Submit a pull request with a detailed description.\n\n### Made with ❤️ by Piyush Poddar\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpiyush-poddar%2Fplatextract","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpiyush-poddar%2Fplatextract","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpiyush-poddar%2Fplatextract/lists"}