All Library Samples
LiteRT Tensor API Sandbox
Run on-device machine learning execution directly in your browser. Test eager mode, static graphs, arithmetic reductions, and broadcasting using standard JavaScript console inputs.
Gemma 3 Tokenizer Demo
Interactive model visualizer exploring how Gemma 3 structures, tokenizes, and breaks down natural language text input in the browser using WebAssembly execution.
Image Segmentation (WebGPU)
Perform high-performance selfie multiclass image segmentation in real-time directly inside your web browser using hardware-accelerated WebGPU execution.
Mandelbrot Fractal Generator
Highly optimized fractal canvas renderer demonstrating complex arithmetic operations executed using LiteRT Tensor WebAssembly backends.
Conway's Game of Life
Classic cell automation board game implemented via 2D matrix computations triggered natively on-device with LiteRT WASM core functions.
Image Classification
Identify and classify thousands of object categories inside images, live video streams, or custom user camera inputs. Supports standard mobile formats.
Object Detection
Locate and draw bounding boxes around multiple distinct objects in a frame, complete with class name identification and trust percentage scores.
Image Segmentation
Assign category labels to every pixel of an image, enabling background blurring, clean virtual backgrounds, and high-accuracy shape masking.
Audio Classification
Record live audio samples using on-device microphones to identify sound events, environmental noises, music genres, and keyword voice commands.
Digit Classifier (MNIST)
Recognize handwritten numerical digits drawn in real time onto canvas interfaces or parsed from paper document photography.
Text Classification
Natural Language Processing (NLP) application analyzing sentence structures to classify input paragraphs, determine sentiments, and detect spam.
Reinforcement Learning
Run on-device reinforcement learning agents to train game strategies, manage pathfindings, and control physics simulations in real-time.
Super Resolution
Intelligently reconstruct low-resolution image assets to recover missing features, sharpen details, and produce high-definition visual outputs.
LLM Chatbot (Qualcomm NPU)
Accelerate large language model text generation natively on Qualcomm NPU hardware. Leverage async execution pipelines for fast on-device GenAI conversational response times.
LiteRT AOT Compilation
Hands-on tutorial demonstrating Ahead-of-Time (AOT) compilation strategies to target specialized GPU/NPU acceleration modules, boosting inference execution speed.
Accelerated Speech Recognition
Automatic Speech Recognition (ASR) converting continuous audio input streams into transcribed text paragraphs using hardware-compiled models.
Semantic Similarity API
Calculate mathematical distances and similarity metrics between text embeddings instantly, optimized for advanced client search pipelines.
Accelerated Text Classification
Process real-time texts, spam detections, and mood-metric classification models using CompiledModel API backends.
Accelerated Image Classification
Demonstrate state-of-the-art high frequency GPU/NPU image classification executing with async queues and optimized buffer allocations.
Accelerated Image Segmentation
High-throughput semantic segmentation of images. Enables rich camera masks and background isolation with specialized accelerators.
ImageNet Classification
Comprehensive full system implementation showing end-to-end image parsing, preprocessing, and classification using standard ImageNet benchmarks.
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