CountIt4Me vs MobileLLM
Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.
CountIt4Me
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CountIt4Me is a personal inventory management app for iPhone and iPad. Track and organize the things you own — from tools to collectibles to household items — with a flexible, configurable record structure tailored to each type of item. Flexible Categories Create your own categories with custom field names. Each category has up to nine user-defined text fields with labels you choose. You control which fields appear for quantity, unit value, condition, and acquisition date — so a category for books looks different from a category for tools. Rich Item Records Each item supports: name, description, discussion notes, condition, acquisition date, location, vendor, miscellaneous cost, sales tax rate, unit value, quantity, warranty, barcode, and nine user-defined fields. Total value (unit value × quantity + sales tax) is calculated automatically. Photos Attach up to four photos per item. Photos can be rotated directly in the app. Camera capture and photo library selection are both supported. Barcode Scanning Scan a product barcode with the camera and it is stored with the item record. Keywords Create a library of keywords and assign multiple keywords to each item for flexible cross-category searching and grouping. Item Duplication Duplicate any item with a single tap to quickly create similar records. iCloud Sync Your inventory database is stored in iCloud and automatically syncs across all your iPhone and iPad devices signed into the same Apple ID. Import and Export Export your items, categories, and keywords as JSON files for backup or transfer. Export items to CSV for use in a spreadsheet. Import JSON files previously exported from this app, or import a database exported as JSON from MyVentory. Works on iPhone and iPad The interface adapts to the device — compact layout on iPhone, split-view layout on iPad.
MobileLLM
Interact with advanced AI language models locally and privately on your device. Chat with popular LLMs offline, save conversations, and have responses spoken aloud. Download large models patiently.
- Offline AI model interaction
- Supports Llama 3.3, DeepSeek-R1, Phi-4, Gemma 3
- Text-to-speech for responses
- Private chat history saved locally
- No internet connection required for chat
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MobileSeek running with Llama 3.3, DeepSeek-R1, Gemma 3, Phi and other popular large language models on your phone, you can chat with LLM locally and privately without network. The vision models are not supported because of the memory issue, we'll support them soon. Be a little patient when downloading big models. Key Features: - Offline Chatting: Interact with advanced AI models directly on your device without the need for an internet connection. - Popular LLM model integerated: Llama 3.3, DeepSeek-R1, Phi-4, Gemma 3, llava, mistral - Text to speech, speak the response as you will. - Chat history saved on your phone, no any data upload to Internet for your privacy.
Screenshots
Verdict
The clearest difference is iOS requirement: MobileLLM at 15.6 against CountIt4Me's 27.0. 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.
| Parameter | CountIt4Me | MobileLLM |
|---|---|---|
| Price | Free | Free |
| Rating | — | 1.0 (1 ratings) — better |
| Number of ratings | — | 1 — better |
| Update frequency | Every 2 months | — |
| Ads | No | No |
| In-app purchases | No | No |
| Monetization | — | Free |
| Devices | iPhone, iPad | iPhone, iPad, iPod — better |
| Requires iOS | 27.0 | 15.6 — better |
| Further details — not scored | ||
| Size | 17 MB | 58 MB |
| Age rating | 4+ | 4+ |
| Developer | John Grauel | Orz Games |
In-app purchases
CountIt4Me
No in-app purchases
MobileLLM
No in-app purchases









