{"id":19410843,"url":"https://github.com/farhard112/watermark_applier","last_synced_at":"2025-10-07T09:59:27.481Z","repository":{"id":258108280,"uuid":"873394992","full_name":"FarHard112/watermark_applier","owner":"FarHard112","description":"FREE BULK WATERMARK applier ","archived":false,"fork":false,"pushed_at":"2024-10-16T05:19:24.000Z","size":6422,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-08-05T00:14:40.769Z","etag":null,"topics":["image-processing","image-processing-python","image-watermarking","image-watermarking-python","photoshop","python","watermark","watermarking","watermarking-image"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/FarHard112.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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":"2024-10-16T05:10:17.000Z","updated_at":"2024-10-16T05:19:27.000Z","dependencies_parsed_at":"2024-10-17T18:06:08.435Z","dependency_job_id":null,"html_url":"https://github.com/FarHard112/watermark_applier","commit_stats":null,"previous_names":["farhard112/watermark_applier"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/FarHard112/watermark_applier","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/FarHard112%2Fwatermark_applier","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/FarHard112%2Fwatermark_applier/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/FarHard112%2Fwatermark_applier/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/FarHard112%2Fwatermark_applier/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/FarHard112","download_url":"https://codeload.github.com/FarHard112/watermark_applier/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/FarHard112%2Fwatermark_applier/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":278755161,"owners_count":26040034,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-10-07T02:00:06.786Z","response_time":59,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"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":["image-processing","image-processing-python","image-watermarking","image-watermarking-python","photoshop","python","watermark","watermarking","watermarking-image"],"created_at":"2024-11-10T12:18:17.784Z","updated_at":"2025-10-07T09:59:27.453Z","avatar_url":"https://github.com/FarHard112.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Image Watermarking Application\n\n## Overview\n\nThis Python application provides a user-friendly GUI for adding watermarks to images. It allows users to easily apply customizable watermarks to multiple images(BULK) at once.\n\n## Features\n\n- Select input and output directories for batch processing\n- Choose a custom watermark image (PNG with transparency)\n- Adjust watermark opacity (0-100%)\n- Resize watermark (1-100% of image size)\n- Position watermark anywhere on the image\n- Option to tile watermark across entire image\n- Real-time preview of watermarked image\n- Batch process all images in selected directory\n\n## Requirements\n\n- Python 3.6+\n- Pillow (PIL Fork)\n- tkinter (usually comes with Python)\n\n## Installation\n\n1. Clone this repository:\n```bash\ngit clone https://github.com/yourusername/image-watermarking-app.git\n```\n2. Navigate to the project directory:\n```bash\ncd image-watermarking-app\n```\n3. Install required packages:\n\n```bash\npip install Pillow\n```\n\n## Usage\n\n1. Run the script:\n\n```bash\npython watermark_app.py\n\n```\n2. Use the GUI to:\n- Select input directory containing images to watermark\n- Choose output directory for watermarked images\n- Select watermark image (PNG format recommended)\n- Adjust watermark settings (opacity, size, position)\n- Toggle \"Tile Watermark\" for repeated pattern\n- View real-time preview of changes\n- Click \"Process Images\" to apply watermark to all images\n\n  \n![image](https://github.com/user-attachments/assets/236d4dcb-858f-439b-804d-a0340627a12b)\n\n\n### Example OUTPUT Image : \n![image](https://github.com/user-attachments/assets/3872f0fd-70e3-4c1d-b408-af76fc0974c5)\n\n\n\n## Notes\n\n- Supported image formats: PNG, JPG, JPEG\n- Watermark should be a PNG image with transparency for best results\n- Processed images are saved in JPEG format\n- Original images are not modified; watermarked versions are saved separately\n\n## Contributing\n\nContributions, issues, and feature requests are welcome.\n\n### TODO:\nCreating web version of this application. (FLASK is more desireable) \n\n## License\n\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffarhard112%2Fwatermark_applier","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ffarhard112%2Fwatermark_applier","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffarhard112%2Fwatermark_applier/lists"}