Assets for Xcode vs Sherpa Voice

Assets for Xcode is the fastest way to turn a single 1024px icon into polished AppIcon catalogs for every Apple platform. The redesigned macOS experience keeps the live canvas, BraveUI inspector, and export pipeline perfectly in sync so you can drop artwork in, preview every platform, and ship with confidence. • NEW in 5.0 – Sharper macOS canvas, centered previews, and a refreshed inspector that keeps platform toggles, adjustments, and background controls under one scroll. • Multi-platform preview board – See iPhone, iPad, Mac, Apple TV, and watchOS mockups update in real time as you nudge sliders or change backgrounds. • BraveUI color workflow – Anchored color picker with presets, gradient picker, and hex input plus a one-tap transparency swatch so icons always look right on light and dark UIs. • Deterministic edits – Crop, Resize, Auto Enhance, and pro adjustments (brightness, contrast, saturation, warmth, vignette, fade, highlights, shadows, sharpen) always reapply to the pristine source image. • Reliable import & export – Drag and drop, Finder, Files, or Photos all feed the same pipeline, and exports remember your last destination, generate perfect Contents.json files, and open the folder instantly on macOS. • Built-in guidance – Tooltips, success/error toasts, and warnings for undersized art keep every run stress-free. Tune once, preview everything, and deliver a production-ready AppIcon catalog in minutes.

Sherpa Voice is an open-source demo app that showcases what on-device speech and audio AI can do — directly on your phone, with no cloud and no internet required. Whether you are a developer evaluating libraries for your next app, a researcher exploring mobile inference, or just curious about offline AI, Sherpa Voice lets you try 10 speech and audio features hands-on. WHAT YOU CAN TRY - Speech Recognition: Transcribe speech to text from files or live microphone input. Multiple languages supported. - Text-to-Speech: Generate natural-sounding speech from text with various voices and speakers. - Voice Activity Detection: Detect speech vs silence in real-time audio. - Keyword Spotting: Listen for custom keywords without full transcription. - Speaker Identification: Recognize speakers by their voice. - Speaker Diarization: Figure out who spoke when in a conversation. - Audio Tagging: Classify sounds — music, speech, environmental noise. - Language Identification: Detect which language is being spoken. - Speech Enhancement: Remove background noise from recordings. - Punctuation: Add punctuation to raw transcripts. Each feature comes with a downloadable model catalog so you can compare different models for speed, size, and accuracy. FOR DEVELOPERS Sherpa Voice is built with React Native and Expo using two open-source libraries: - sherpa-onnx: C++ inference engine for speech models, with mobile-optimized ONNX Runtime - expo-audio-stream: Real-time audio recording, analysis, and visualization for React Native Everything you see in this app can be integrated into your own project. The full source code is available on GitHub — use it as a reference, fork it, or contribute. HOW IT WORKS 1. Pick a feature (Speech Recognition, TTS, etc.) 2. Download a model from the built-in catalog (one-time, typically 15-100 MB) 3. Use the feature — all processing runs locally on your device PRIVACY No accounts. No tracking. No data collection. Audio never leaves your device.