Mindverse vs ML Data Factory
Price, ratings, monetisation and update history for both apps, side by side β with what reviewers say about each.
Mindverse
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Device-native, private AI notes, no token cost. Capture voice memos, photos, links, videos, and rough ideas. Mindverse uses Apple Intelligence where available to help you find, organize, and transform what you save, then keeps the same notes available on iPhone and Mac through your own Google Drive. AI THAT RUNS ON YOUR IPHONE Mindverse uses Apple Intelligence where available. Your personal note content can be searched, organized, and transformed without a separate cloud AI account or per-token charges from Mindverse. CAPTURE MORE THAN TEXT - Photograph whiteboards, documents, or receipts and make the text searchable. - Save articles and YouTube videos with their content attached, not just the URL. - Write in Markdown or plain text. - Share from other apps directly into Mindverse. - Record voice memos alongside your written notes. ASK YOUR OWN NOTES Ask a question and get an answer grounded in what you saved, with the source notes still in view. Mindverse uses Apple Intelligence where available by default. TURN NOTES INTO USEFUL OUTPUTS - Summarize a long note. - Clean up rough writing. - Create flashcards. - Turn notes into checklists. - Combine several notes into one. - Run a one-off prompt or write a reusable skill in plain English. GOOGLE DRIVE SYNC. NO LOCK-IN. Google Drive sync is included. Mindverse syncs notes, photos, and voice recordings across your devices through your own Drive, not Mindverse servers. Every note remains a plain Markdown file on your device, so you can open it in other tools or keep a readable backup without Mindverse. There are no ads, no proprietary note format, and no per-token charges for on-device AI. BUILT FOR IPHONE AND MAC Mindverse supports App Intents and Apple Intelligence on iPhone and Mac where available. Your notes remain portable Markdown files and stay in sync through your own Google Drive.
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 dynamicallyβchoose 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.
Screenshots
Verdict
The clearest difference is update cadence: Mindverse at every 3 weeks against ML Data Factory's every 3 months. Mindverse also leads on iOS requirement (16.0 vs 18.0). On price, ads, in-app purchases and device support there is nothing between them.
Scored on Price Β· Rating Β· Positive reviews Β· Number of ratings Β· Update frequency Β· Ads Β· In-app purchases Β· Monetization Β· Best chart rank Β· Devices Β· Requires iOS
Both are free to download. Neither carries in-app purchases, so what you see is what you pay.
Mindverse ships an update every 3 weeks, ML Data Factory every 3 months. Both last shipped on October 10, 2026.
| Parameter | Mindverse | ML Data Factory |
|---|---|---|
| Price | Free | Free |
| Update frequency | Every 3 weeks β better | Every 3 months |
| Ads | No | No |
| In-app purchases | No | No |
| Devices | iPhone, iPad | iPhone, iPad |
| Requires iOS | 16.0 β better | 18.0 |
| Further details β not scored | ||
| Size | 83 MB | 6 MB |
| Age rating | 4+ | 9+ |
| Developer | Dwipal Desai | Kory Fuerstenberg |
In-app purchases
Mindverse
No in-app purchases
ML Data Factory
No in-app purchases







