ArticlesBlog Recognize Text in Images with ML Kit on Android (Firecasts) November 6, 201930 Related posts: Understanding Cloud Functions: Dealing with parallel execution (Firecasts) Flutter for Business (Mobile World Congress ‘19) Generating slides from spreadsheet data (The G Suite Dev Show) Confluent & Apache Kafka® Power Funding Circle’s Lending Marketplace Related tags : android android app developers android apps android developers android ml kit app developers apps Cloud Firestore developers Firebase Firebase Developers Firebase ML Kit Google Developers learn ML machine learning developers machine learning kit ML ml for android ml for apps ml in android ML Kit ML kit for android ml kit for iOS mobile app developers mobile apps recognize text in images text in images text in images app Post navigation Previous Article Social Media & Marketing Planning For Your Cleaning Business Next Article How To Sew A Fabric Wallet Comments (30) January 3, 2019 at 8:11 pm thanks Reply January 3, 2019 at 8:15 pm Here @ 50 views Reply January 3, 2019 at 8:20 pm awesome… looking for a card scanner .. and look here it is… thanks firebase <3 Reply January 3, 2019 at 8:25 pm how make live ocr ? Reply January 3, 2019 at 8:25 pm Hello Firebase, First I'd like to thank you for the awesome plateforme. I'm wondering whether features like MLkit are considered to be supported on the web in the future 🤔 Reply January 3, 2019 at 8:28 pm You guys are simplifying ML for us. Amazing job, Firebase team! Reply January 3, 2019 at 8:29 pm Can't we use this on Web? :/ Reply January 3, 2019 at 8:53 pm Wellcome Reply January 3, 2019 at 9:43 pm Great video and, even more important, easy integration. However, my question is if there any good description of what are the known limitations (e.g. can I do handwriting recognition with the existing ML text recognition features). Reply January 4, 2019 at 1:30 am Is this ready for flutter too?? Reply January 4, 2019 at 2:24 am You can implement it with Kotlin tutorial please. Reply January 5, 2019 at 10:36 am Thanks Jen, brilliant as always – ML kit is a fantastic component feature. Reply January 5, 2019 at 3:25 pm Hello there, is this ML kit recognizes the text(handwritten text) from a picture of book/paper page? Reply January 5, 2019 at 5:34 pm Great tutorial, but should we use the android.support libraries or AndroidX? Reply January 8, 2019 at 12:42 pm i want to use with ios to recognize numbers Reply January 14, 2019 at 5:04 pm I want you to add support for CoreNLP not just recognize text out of image but to recognize values out of a text. for example this sentence. "John, how are you? I will be at Starbucks around 10AM tomorrow. I will see you there. best regards Eran" Now I want the firebase to analyze this sentence and give me things like this is a meeting between John and Eran that will occur at 10am at Starbucks. I want AI to understand the sentence itself. Take a look on Stanford CoreNLP library. In CoreNLP the library will categorize words, for example, 10AM will be time and John and Eran will be "name" and At Starbucks will be "location" so Assume we have an array of names an Array of time and Array of locations then we can really understand the meaning of the sentence. Cool stuff is in it? Reply February 7, 2019 at 12:41 am I want to Know how i can design to databases in one.one for the user which contains user details which can only visible for user and the another one which is admin of all the user admin can see all the data of user So please guide me how i can implement it in one common application for Android #Askfirebase Reply March 5, 2019 at 5:37 pm Why not using Mobile Vision API it is better and can recognize automatically… Reply April 17, 2019 at 2:00 am I tested ML Kit OCR on both iOS and Android. However it seems the performance on Android is so much worse compared to iOS. How so? I also tried using it to read MRZ on passports. iOS results seem reasonable, Android is crappy. And, there isn't a way to use trained data on ML Kit OCR. I ended up using Tesseract with a trained dataset. Sigh… Reply April 21, 2019 at 4:48 pm Hi. i have a question?Can scan passport with MLkit?sorry because my English skill not good 🙂 Reply June 6, 2019 at 7:44 am This Ml kit is great. It works like a charm. But I have problem with Hebrew language detection from image or live it is not working properly for Hebrew (he, iw). Any suggestion for this will be appreciated. Thanks Reply June 6, 2019 at 10:02 am Ok, but how to make OCR automatically via camera ??? Reply June 22, 2019 at 7:12 pm Hi, I wanted to know whether the capability to recognize text from images of documents is there on the "On-Device Models/API" or the capability is there only on the Cloud models ? Reply June 27, 2019 at 1:13 am I found these videos helpful when using ML Kit to develop an Android app (Don't Smile Challenge) for an assignment earning my MS Software Development degree at Boston University ( https://youtu.be/1M6hUx2BkHI ) Reply July 16, 2019 at 4:41 pm Is it possible to train the data to improve the accuracy of the recognized text? Reply July 27, 2019 at 10:09 am Any one knows how to get the word under the tap motion event? I tried the method element.boundingBox.contains(eventx, eventy) Reply August 2, 2019 at 9:13 pm hello, can it extract hand writing text? Reply September 5, 2019 at 2:52 pm Used MLKit platform to build an educational app implementing all the features of MLKit . The project source code is available in open source on Github 🔥App link : https://play.google.com/store/apps/details?id=com.developersk.firebasemlkitdemoSource code : (PRs are welcomed) : )https://github.com/shivamkumard107/FirebaseMLKit Thank you firebase for such an awesome feature <3 : ) Reply October 2, 2019 at 11:28 am is she using java or this is another programming language ?(for android development) Reply October 25, 2019 at 10:52 am Hi the, thanks for the video. My question, will the system be able to capture special character i.e. (&, $ or * etc as well as rest of the text) and second can we modify the digital text captured by the system?Thanks Reply Comment here Cancel reply Comment Name * Email * Save my name, email, and website in this browser for the next time I comment.