TDMS vs META
Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.
TDMS
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■Manage measurement data using standard to determine pass/fail The measured torque and angle values are judged based on the upper and lower limits registered for each potion, and saved with adding date, time and pass/fail judgment result. ■Work information can be registered on the app or by imported in bulk with the master file. Work information such as standard values and number of spindle be easily registered on the app. Batch registration is also possible by creating and importing a master file in Excel or CSV format. ■For detecting abnormalities in early stage, automatically processed statistical data from the measured results. To detect abnormalities early stage, "N", "X-bar", "σ", "cp" and "cpk" are automatically calculated from the measurement data. ■Outputs saved measurement data and statistical data as a file The data can review in the app and also output it as an Excel or CSV file. ■Compatible with many Tohnichi Digital products It can easily establish data management system by connecting with Tohnichi product. ■Sends the portion information to be measured to the torque wrench. The registered portion information will be sent to Tohnichi digital products, it allows to perform your operation while switching the standard values according to each portion.
META
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"META-aivi是世界首創,將AR擴增實境和AI視覺技術融合的全新解決方案,不需要專業知識,任何人都能建立AI模型,僅需數分鐘和幾張圖片即可完成訓練,訓練樣本數比一般AI減少90%,輕鬆就能運用AI滿足多種需求,並透過AR即時反饋辨識結果等。真正實現即學即用,快速落地的AI應用。 ●影像辨識:人員是否""正確配戴""安全帽/安全掛鉤?PCB組裝是否正確?畫面中是甚麼物件? ●計算與分類:盤點貨架上哪些商品及數量,或金屬零件中辨識種類與數量。 ●文字讀取:文件上的文字、指針式錶頭的數據、設備顯示的數字都能讀取,還能即時判斷是否有異常。 ●瑕疵檢測:無死角徹底檢查物件是否有瑕疵如:刮傷、油汙等,不規則的隨機瑕疵也能正確檢出。 ●SOP操作步驟指引:即時指引操作員是否依照步驟,一步一步保養設備或相關安全措施,並驗證是否確實,也能用在員工的教育訓練,改善訓練效率。 馬上下載,即可使用獲得世界多跨國企業採用與肯定的META-aivi,簡單易用,減少人為錯誤因素,大幅提高生產效率並改善工安。 META-aivi is the world’s first smart solution to integrate augmented reality (AR) with AI visual technology. It enables anyone to create AI models easily, without specialized knowledge, using just a few sample images to complete model training in minutes—reducing the typical sample requirement by 90%. META-aivi supports multiple applications, including instant feedback through AR, allowing for real-time, easy-to-deploy AI solutions for a wide range of tasks. Key features include: Image Recognition: Verify safety equipment usage, ensure correct product assembly, and identify objects. Counting and Classification: Manage inventory and identify the types and quantities of parts. Text Reading: Read and analyze text, extract gauge data, and display numbers on devices. Defect Detection: Thoroughly inspect items for imperfections such as scratches or stains. SOP Guidance: Provide step-by-step instructions for equipment maintenance and safety procedures, improving staff training efficiency. Download META-aivi now—a user-friendly AR + AI tool trusted by multinational companies to boost production efficiency and enhance workplace safety."
Screenshots
Verdict
The clearest difference is update cadence: META at every 2 months against TDMS's every 26 months. META also leads on iOS requirement (13.0 vs 15.0). 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.
TDMS ships an update every 26 months, META every 2 months. Both last shipped on November 8, 2026.
| Parameter | TDMS | META |
|---|---|---|
| Price | Free | Free |
| Update frequency | Every 26 months | Every 2 months — better |
| Ads | No | No |
| In-app purchases | No | No |
| Devices | iPhone, iPad, iPod | iPhone, iPad, iPod |
| Requires iOS | 15.0 | 13.0 — better |
| Further details — not scored | ||
| Size | 4 MB | 235 MB |
| Age rating | 4+ | 4+ |
| Developer | TOHNICHI MFG.CO., LTD. | solomon |
In-app purchases
TDMS
No in-app purchases
META
No in-app purchases









