{"id":18696336,"url":"https://github.com/dynamsoft/label-recognizer-javascript-samples","last_synced_at":"2025-04-12T07:31:06.036Z","repository":{"id":42066706,"uuid":"429373901","full_name":"Dynamsoft/label-recognizer-javascript-samples","owner":"Dynamsoft","description":null,"archived":true,"fork":false,"pushed_at":"2024-10-11T06:47:23.000Z","size":2692,"stargazers_count":3,"open_issues_count":1,"forks_count":5,"subscribers_count":7,"default_branch":"main","last_synced_at":"2025-02-18T21:48:43.704Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"HTML","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/Dynamsoft.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":"2021-11-18T09:44:04.000Z","updated_at":"2024-10-11T06:47:39.000Z","dependencies_parsed_at":"2023-12-21T11:43:37.257Z","dependency_job_id":"e0dd62b2-56f0-4e7e-9631-1d1f917e5860","html_url":"https://github.com/Dynamsoft/label-recognizer-javascript-samples","commit_stats":null,"previous_names":[],"tags_count":10,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Dynamsoft%2Flabel-recognizer-javascript-samples","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Dynamsoft%2Flabel-recognizer-javascript-samples/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Dynamsoft%2Flabel-recognizer-javascript-samples/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Dynamsoft%2Flabel-recognizer-javascript-samples/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Dynamsoft","download_url":"https://codeload.github.com/Dynamsoft/label-recognizer-javascript-samples/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248533627,"owners_count":21120131,"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","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":[],"created_at":"2024-11-07T11:18:15.277Z","updated_at":"2025-04-12T07:31:05.725Z","avatar_url":"https://github.com/Dynamsoft.png","language":"HTML","readme":"# Dynamsoft Lable Recognizer samples for the web\n\n⚠️ **Notice:** This repository has been **archived**. For the latest examples utilizing label recognition features, please visit the **[Dynamsoft Capture Vision Samples](https://github.com/Dynamsoft/capture-vision-javascript-samples)** repository. 🚀\n\nThis repository contains multiple samples that demonstrates how to use [Dynamsoft Lable Recognizer JavaScript Edition](https://www.dynamsoft.com/label-recognition/programming/javascript/?ver=latest).\n\n[User Guide](https://www.dynamsoft.com/label-recognition/docs/web/programming/javascript/user-guide/index.html)\n\n[API Reference](https://www.dynamsoft.com/label-recognition/programming/javascript/api-reference/?ver=latest)\n\n## Hello World\n\nLearn how to get the basic features of the library working with plain/native JavaScript or within a framework like [Angular](https://angular.io/), [React](https://reactjs.org/) or [Vue](https://vuejs.org/), etc.\n\n1. **Hello World**: Minimum necessary JavaScript code to get the Lable Recognizer up and running.\n2. **Read an Existing Image**: Recognize labels using images that are stored locally, whether on mobile or desktop.\n3. **Hello World in Angular**: Recognize video stream in an Angular Application from a USB-connected or built-in camera (mobile or desktop).\n4. **Hello World in React**: Recognize video stream in a React Application from a USB-connected or built-in camera (mobile or desktop).\n5. **Hello World in Vue 2**: Recognize video stream in a Vue 2 Application from a USB-connected or built-in camera (mobile or desktop).\n6. **Hello World in Vue 3**: Recognize video stream in a Vue 3 Application from a USB-connected or built-in camera (mobile or desktop).\n7. **Hello World in Next.js**: Recognize video stream in a Next.js Application from a USB-connected or built-in camera (mobile or desktop).\n8. **Hello World in Nuxt**: Recognize video stream in a Nuxt Application from a USB-connected or built-in camera (mobile or desktop).\n9. **Hello World in Electron**: Recognize video stream in a Electron Application from a USB-connected or built-in camera (desktop only).\n10. **Hello World in PWA**: Recognize video stream in a PWA Application from a USB-connected or built-in camera (mobile or desktop).\n11. **Hello World with RequireJS**: Recognize video stream in a simple Application using RequireJS from a USB-connected or built-in camera (mobile or desktop).\n12. **Hello World with ES6**: Recognize video stream in a simple Application using ES6 from a USB-connected or built-in camera (mobile or desktop).\n\n## Use Cases\n\nUse cases of the library.\n\n1. **Use Templates**: Select a specific template and open the camera for text recognition. Available templates include number, letter, passportMRZ, visaMRZ, MRZ, VIN etc. \n\n2. **Read and Parse MRZ**: Read and parse the machine-readable zones (MRZ) usually found on passports, VISAs, etc. \n\n\u003e You can also [try the MRZ scanning online demo](https://demo.dynamsoft.com/label-recognizer-js/mrz-scanner.html) or check out the [source code of the demo](https://github.com/Dynamsoft/label-recognizer-javascript-demo).\n\n## Contact Us\n\nIf you have any questions with these samples, feel free to submit an issue or [contact us](https://www.dynamsoft.com/company/contact/).\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdynamsoft%2Flabel-recognizer-javascript-samples","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdynamsoft%2Flabel-recognizer-javascript-samples","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdynamsoft%2Flabel-recognizer-javascript-samples/lists"}