ML Data Factory vs Litiva
Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.
ML Data Factory
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ML Data Factory is a professional-grade mobile utility engineered to bridge the gap between raw video footage and the high-quality datasets required for machine learning. Designed for data engineers, sports analysts, and AI researchers, this app allows you to curate, manufacture, and package machine learning datasets entirely from your iPhone or iPad. Stop wasting time with bulky desktop software. Whether you are in the field or at your desk, ML Data Factory provides a streamlined, high-throughput pipeline to transform raw video into structured, AI-ready training data. Key Features: Precision Data Pipeline: Seamlessly ingest raw video from iCloud, the local Files app, or your Photo Library. Support for bulk-uploading allows you to queue multiple videos for efficient, uninterrupted processing. Direct-Link Ingestion: Paste direct video URLs to stream and download high-quality footage directly into your processing queue. Frame-Accurate Scrubbing: Utilize high-precision seeking controls to pinpoint the exact millisecond of an action. Whether you are analyzing a sports swing or a manufacturing process, you have full control with frame-by-frame navigation. ML-Ready Visual Guides: Built-in 224x224 crop guides ensure your visual subjects are perfectly framed for popular machine learning models (e.g., ResNet, MobileNet), ensuring data consistency before you ever snap a frame. Dynamic Dataset Labeling: Create, manage, and toggle custom categories on the fly. Organize your dataset into structured folders that match your specific training labels. Customizable Capture Length: Adjust your capture window dynamically—choose between 30, 60, 90, 120, or 150 frames to match the specific needs of your ML model's temporal requirements. One-Tap Manifest Export: With a single tap, the app compiles your categorized clips into a structured dataset_manifest.json and bundles everything into a single .zip archive. Easily AirDrop or transfer your entire, ready-to-train dataset to your workstation for immediate use in Create ML, PyTorch, or TensorFlow. Technical Specifications: High-Speed I/O: Built on the AVFoundation framework for efficient, asynchronous video processing and extraction. Optimized Performance: Fully compliant with modern iOS 18+ standards for maximum stability and performance on the latest hardware. Data Integrity: All dataset operations are performed using atomic write protocols to ensure no data is corrupted or lost during the extraction and zipping process. User-Centric Design: High-contrast, dark-themed industrial interface designed for high-focus professional environments.
Litiva
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Litiva — a quiet daily panel for habits, reminders, journal, and focus. Litiva helps you keep the small routines that make a day feel steadier: wake up, drink water, move, take medicine, write a few lines, or build your own custom habit. 【Today Panel】 Open Litiva and see what matters today. Check off habits quickly, switch between compact and detailed views, and keep the day clear without a crowded task manager. 【Flexible Habits & Reminders】 Create simple habits for morning, work, health, evening routines, or anything personal. • Custom names, notes, categories, icons, and colors • Daily, weekday, weekend, or custom repeat days • Optional reminder time and early alert • Pause and resume habits when your schedule changes 【Short Focus Sessions】 Some habits need a little attention, not a full productivity system. Start a short focus session from a habit, breathe, stay present, then mark it complete. 【Built into iOS】 • Complete habits from interactive Home Screen and Lock Screen widgets • Add quick actions to Control Center • Follow focus timers through Live Activities and Dynamic Island • Complete or snooze reminders without opening the app • Find habits in Spotlight or run them with Siri and Shortcuts 【Timeline Journal】 Record small reflections in a calm timeline. Add mood and tags, use Apple's Journal Suggestions, and—on supported devices—organize your own draft privately with on-device Apple Intelligence. 【Insights & Yearly Tree】 Track today's progress, completion rate, consistency, and journal count. Your check-ins grow a yearly tree so daily progress feels visible without pressure. 【Private by Design】 Litiva has no ads, no accounts, no tracking, and no subscriptions. Your data stays on your device and can sync through your own iCloud across iPhone and iPad. Apple Health integration is optional. When enabled, Litiva writes only completed hydration and mindful sessions; it does not upload your health data. 【Made for Daily Use】 • Clean light and dark appearance • iPhone and iPad layouts • Siri, Shortcuts, Spotlight, widgets, and Control Center support • All 50 App Store languages and locales • Built-in starter habits you can edit or delete Litiva is for people who want a softer way to remember, complete, and reflect on the small things that keep life on track.
Screenshots
Verdict
The clearest difference is update cadence: Litiva at every 3 weeks against ML Data Factory's every 3 months. On price, ads, in-app purchases and device support there is nothing between them.
Scored on Price · Rating · Positive reviews · Number of ratings · Update frequency · Ads · In-app purchases · Monetization · Best chart rank · Devices · Requires iOS
Both are free to download. Neither carries in-app purchases, so what you see is what you pay.
ML Data Factory ships an update every 3 months, Litiva every 3 weeks. The most recent releases landed on October 10, 2026 and October 25, 2026 respectively.
| Parameter | ML Data Factory | Litiva |
|---|---|---|
| Price | Free | Free |
| Update frequency | Every 3 months | Every 3 weeks — better |
| Ads | No | No |
| In-app purchases | No | No |
| Devices | iPhone, iPad | iPhone, iPad |
| Requires iOS | 18.0 | 17.0 — better |
| Further details — not scored | ||
| Size | 6 MB | 7 MB |
| Age rating | 9+ | 4+ |
| Developer | Kory Fuerstenberg | 顺飞 邹 |
In-app purchases
ML Data Factory
No in-app purchases
Litiva
No in-app purchases









