🖼️ Image Toolbox is a powerful app for advanced image manipulation. It offers dozens of features, from basic tools like crop and draw to filters, OCR, and a wide range of image processing options
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🖼️ Image Toolbox is a powerful app for advanced image manipulation. It offers dozens of features, from basic tools like crop and draw to filters, OCR, and a wide range of image processing options
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
Fast and simple OCR library written in Swift
Frontier CoreML audio models in your apps — text-to-speech, speech-to-text, voice activity detection, and speaker diarization. In Swift, powered by SOTA open source.
Use Apple FaceID or TouchID authentication in your app using BiometricAuthentication.
Android Input Method Editor (IME) based on Whisper
iOS routing done right. Handles both URL recognition and controller displaying with parsed parameters. All in one line, controller stack preserved automatically!
🗣 An overlay that gets your user’s voice permission and input as text in a customizable UI
A library to take picture easy, transform your data in different format and save photos in your device
👀 iOS11 demo application for age and gender classification of facial images.
✂️ Detect and crop faces, barcodes and texts in image with iOS 11 Vision api.
Start recording when the user speaks
A flutter widget that show the camera stream and allow ML vision recognition on it, it allow you to detect barcodes, labels, text, faces...
🗣 An overlay that gets your user’s voice permission and input as text in a customizable UI
A Car Recognition Framework for CoreML
Aids with prototyping UIGestureRecognizers in Xcode Playgrounds
Hand-gesture recognition on iOS app using CoreML
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Ken Burns effect with face recognition!
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Personalized machine learning on the smartphone
Capacitor plugin for speech recognition.
Lightweight on-device keyword spotting engine for iOS using CoreML and real-time audio streaming.
OtosakuStreamingASR-iOS is a real-time speech recognition engine for iOS, built with Swift and Core ML. It uses a fast and lightweight streaming Conformer model optimized for on-device inference. Designed for developers who need efficient audio transcription on mobile.