{"id":28167995,"url":"https://github.com/ibrahimcanerdogan/textrecognitionapp-mlkit","last_synced_at":"2025-10-19T16:37:30.109Z","repository":{"id":182991104,"uuid":"611428727","full_name":"ibrahimcanerdogan/TextRecognitionApp-MLKit","owner":"ibrahimcanerdogan","description":"Recognize text in images with ML Kit on Android ","archived":false,"fork":false,"pushed_at":"2023-11-04T13:24:58.000Z","size":16631,"stargazers_count":4,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-05-07T19:49:54.515Z","etag":null,"topics":["android","android-application","kotlin","mlkit","mlkit-android","recognition","text"],"latest_commit_sha":null,"homepage":"https://medium.com/@ibrahimcanerdogan","language":"Kotlin","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/ibrahimcanerdogan.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.md","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,"zenodo":null}},"created_at":"2023-03-08T20:07:30.000Z","updated_at":"2025-03-20T20:32:22.000Z","dependencies_parsed_at":"2025-05-07T19:50:00.808Z","dependency_job_id":"0573c02f-c3e8-47d0-9b03-d5b79949d718","html_url":"https://github.com/ibrahimcanerdogan/TextRecognitionApp-MLKit","commit_stats":null,"previous_names":["icanerdogan/textrecognitionapp-mlkit","ibrahimcanerdogan/textrecognitionapp-mlkit"],"tags_count":1,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ibrahimcanerdogan%2FTextRecognitionApp-MLKit","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ibrahimcanerdogan%2FTextRecognitionApp-MLKit/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ibrahimcanerdogan%2FTextRecognitionApp-MLKit/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ibrahimcanerdogan%2FTextRecognitionApp-MLKit/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ibrahimcanerdogan","download_url":"https://codeload.github.com/ibrahimcanerdogan/TextRecognitionApp-MLKit/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":254359468,"owners_count":22058117,"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":["android","android-application","kotlin","mlkit","mlkit-android","recognition","text"],"created_at":"2025-05-15T14:33:39.680Z","updated_at":"2025-10-19T16:37:30.007Z","avatar_url":"https://github.com/ibrahimcanerdogan.png","language":"Kotlin","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003ch1\u003e Text Recognition App \u003c/h1\u003e\n\n\u003cp\u003eUnleash the power of text within images like never before with [Your App Name], the ultimate Image Text Analyzer and Copy Tool! Say goodbye to manual typing and tedious data entry—our advanced AI-driven technology transforms any photo into editable and copyable text with just a tap. Whether it's a snapshot from your camera or an image from your gallery, our app makes digitizing text a breeze! \u003c/p\u003e\n\n\u003ca href=\"https://play.google.com/store/apps/details?id=com.ibrahimcanerdogan.textrecognitionapp\"\u003e\u003cimg width=\"90\" height=\"90\" src=\"https://img.icons8.com/?size=512\u0026id=L1ws9zn2uD01\u0026format=png\"/\u003e\u003c/a\u003e\n\n\u003ch4\u003e\u003ca href=\"https://medium.com/@ibrahimcanerdogan/text-recognition-app-with-mlkit-android-7d0b29f522cd\" target=\"_blank\"\u003e MEDIUM \u003c/a\u003e\u003c/h4\u003e\n\n\u003cp\u003e The ML Kit Text Recognition API can recognize text in any Latin-based character set. It can also be used to automate data-entry tasks such as processing credit cards, receipts, and business cards. \u003c/p\u003e\n\n\u003ch2\u003e Key capabilities \u003c/h2\u003e\n\u003cul\u003e\n\u003cli\u003eRecognize text across Latin-based languages Supports recognizing text using Latin script\u003c/li\u003e\n\u003cli\u003eAnalyze structure of text Supports detection of words/elements, lines and paragraphs\u003c/li\u003e\n\u003cli\u003eIdentify language of text Identifies the language of the recognized text\u003c/li\u003e\n\u003cli\u003eSmall application footprint On Android, the API is offered as an unbundled library through Google Play Services\u003c/li\u003e\n\u003cli\u003eReal-time recognition Can recognize text in real-time on a wide range of devices\u003c/li\u003e\n\u003c/ul\u003e\n\n\u003ch2\u003e Text structure \u003c/h2\u003e\n\u003cp\u003eThe Text Recognizer segments text into blocks, lines, elements and symbols. Roughly speaking:\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003ea Block is a contiguous set of text lines, such as a paragraph or column\u003c/li\u003e\n\u003cli\u003ea Line is a contiguous set of words on the same axis, and\u003c/li\u003e\n\u003cli\u003ean Element is a contiguous set of alphanumeric characters (\"word\") on the same axis in most Latin languages, or a word in others\u003c/li\u003e\n\u003cli\u003ean Symbol is a single alphanumeric character on the same axis in most Latin languages, or a character in others\u003c/li\u003e\n\u003c/ul\u003e\n\n\u003cp\u003e The image below highlights examples of each of these in descending order. The first highlighted block, in cyan, is a Block of text. The second set of highlighted blocks, in blue, are Lines of text. Finally, the third set of highlighted blocks, in dark blue, are Words. \u003c/p\u003e\n\n\u003cimg src=\"https://developers.google.com/static/ml-kit/vision/text-recognition/images/text-structure.png\"\u003e\n\n\u003cp\u003e For all detected blocks, lines, elements and symbols, the API returns the bounding boxes, corner points, rotation information, confidence score, recognized languages and recognized text. \u003c/p\u003e\n\n\u003ch2\u003e Text Recognition App Preview \u003c/h2\u003e\n\nApp        |  Main Screen\n:-------------------------:|:-------------------------:\n![](https://github.com/icanerdogan/TextRecognitionApp-MLKit/blob/master/documents/TextRecognition.gif?raw=true)  |  ![](https://raw.githubusercontent.com/icanerdogan/TextRecognitionApp-MLKit/master/documents/MainActivity.png)\n\n\u003ch2\u003e LICENSE \u003c/h2\u003e\n\n````\nMIT License\n\nCopyright (c) 2023 İbrahim Can Erdoğan\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to deal\nin the Software without restriction, including without limitation the rights\nto use, copy, modify, merge, publish, distribute, sublicense, and/or sell\ncopies of the Software, and to permit persons to whom the Software is\nfurnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in all\ncopies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\nFITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\nAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\nLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\nOUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\nSOFTWARE.\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fibrahimcanerdogan%2Ftextrecognitionapp-mlkit","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fibrahimcanerdogan%2Ftextrecognitionapp-mlkit","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fibrahimcanerdogan%2Ftextrecognitionapp-mlkit/lists"}