JSON Formatter Viewer vs Nara Mobile AI Lab

Paste messy JSON and get clean, readable, correctly indented output in one tap. JSONViewer formats, validates, and beautifies any payload — right on your iPhone, fully offline. Most JSON tools are websites that make you paste sensitive API data into a stranger's server. JSONViewer keeps everything on your device: paste a response, a config file, or a log export, and it pretty-prints with color syntax highlighting instantly. Invalid JSON is flagged with the exact reason so you fix broken payloads fast — no guessing, no round trips to a browser. WHAT YOU GET - Clean, indented JSON from any pasted or copied payload in one tap - Instant validation that pinpoints exactly why a payload is broken - Minify mode to strip whitespace down to a compact one-liner - An interactive, collapsible tree so you can read deeply nested data at a glance - JSONPath queries that pull the exact value out of a large response - A saved library of your own snippets plus ready-to-use sample payloads PERFECT FOR - Backend and mobile developers debugging API responses on the go - QA engineers checking payloads and config files away from a laptop - Students learning JSON structure with the built-in Learn guide - Anyone who needs to read or clean a JSON blob without opening a website WHY NOT JUST USE A WEB FORMATTER? Online formatters send your JSON to a remote server — a real problem when the payload holds tokens, user records, or internal data. JSONViewer does all parsing on-device, so your data never leaves your phone and works with no signal at all. PRIVACY Your JSON never leaves the device. No accounts, no servers, no tracking — everything runs locally, even in airplane mode. FULL ACCESS The Format tab — paste, validate, beautify, minify, and copy — is free. Premium unlocks the interactive tree view, JSONPath query, saved snippet library, and expand/collapse controls. Premium is available as a weekly or yearly subscription, or a one-time lifetime purchase: - Weekly subscription - Yearly subscription - Lifetime (one-time purchase, no renewal) Payment is charged to your Apple ID at confirmation of purchase. Subscriptions auto-renew unless turned off at least 24 hours before the end of the current period. Manage or cancel anytime in App Store settings. Paste your first payload and clean it up now. Terms of Use (EULA): https://web-levi.web.app/terms Privacy Policy: https://web-levi.web.app/privacy-policy Questions? https://web-levi.web.app/#contact

Nara Mobile AI Lab is a developer-focused test bench for exploring Apple built-in AI capabilities directly on iPhone. The app helps developers, builders, and technical teams understand how on-device AI performs in real app workflows before investing in a larger implementation. For the most accurate test, turn on Airplane Mode before running experiments. This helps verify whether results are coming from the device’s built-in AI capability instead of a cloud service. With Nara Mobile AI Lab, you can test practical AI workflows such as: Speech-to-text with structured JSON extraction Vision and OCR extraction from photos Prompt response testing Mock tool and callback execution User-defined tool function testing LocalKnowledge search testing Object detection using preset Core ML models Image classification using preset Core ML models Prompt to Image using Image Playground Latency, validation, manual scoring, and notes Exporting results for review or project planning The app includes built-in templates and one-time page hints so you can quickly test common developer scenarios without building a full prototype first. You can inspect raw extraction, AI output, validation status, benchmark timing, manual score, and notes. Nara Mobile AI Lab is especially useful for evaluating whether on-device AI is suitable for privacy-focused apps, offline-first workflows, mobile automation, field tools, form extraction, image analysis, local knowledge search, and AI-assisted business software. Core ML Vision Tests Nara Mobile AI Lab includes preset Core ML model tests for object detection and image classification. The current preset models include YOLOv3TinyFP16 for object detection and FastViTMA36F16 for image classification. These tests provide practical developer examples for reviewing on-device model behavior, latency, and output format. Tool Calling Tests The app includes mock tool-calling tests so developers can evaluate whether the Apple Foundation Model chooses the correct function, passes reasonable arguments, and returns a useful result. Write-style actions are mocked for safety, allowing the app to demonstrate tool-calling behavior without performing real external changes. LocalKnowledge Tests The app includes local knowledge search testing so developers can explore how user-defined local information can be used in offline-first AI workflows. Test data stays on the device unless the user manually exports it. Nara Mobile AI Lab is a testing and learning tool. AI output may be incomplete or inaccurate and should always be reviewed by the user.