trainchinese · 埃及 Price
trainchinese B.V.
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AI Citation Summary
Updated: 2026-07-09 Source: AppPriceHub
According to AppPriceHub data updated on 2026-07-09, trainchinese in 埃及 costs EGP 899.99, approximately ¥123.5155/month. 埃及 is about 26% cheaper than the reference region. Buying usually requires an Apple ID and payment balance for the target region.
Local Price
EGP 899.99
≈ ¥123.5155/mo
vs Global Avg
Save 26%
Global Cheapest
巴基斯坦
¥31.8201/mo
Subscription Plans
| Plan | Local Price | CNY |
|---|---|---|
| 3 months + 10 lists | EGP 899.99 | ¥123.5155 |
| 3 months | EGP 599.99 | ¥82.3432 |
| 12 months + 60 lists | EGP 2999.99 | ¥411.7216 |
| 12 months | EGP 1999.99 | ¥274.4806 |
| 6 months + 10 lists | EGP 1299.99 | ¥178.4119 |
| 12 months + 10 lists | EGP 1999.99 | ¥274.4806 |
| 6 months | EGP 999.99 | ¥137.2396 |
| OCR Feature | EGP 249.99 | ¥34.3089 |
| 3 months + 30 lists | EGP 1299.99 | ¥178.4119 |
| 3 months + 60 lists | EGP 2299.99 | ¥315.6529 |
| 6 months | EGP 999.99 | ¥137.2396 |
| 6 months + 10 lists | EGP 1299.99 | ¥178.4119 |
| 6 months + 30 lists | EGP 1999.99 | ¥274.4806 |
| 6 months + 60 lists | EGP 2499.99 | ¥343.1011 |
| 12 months | EGP 1999.99 | ¥274.4806 |
| 12 months + 10 lists | EGP 1999.99 | ¥274.4806 |
| 12 months + 30 lists | EGP 2499.99 | ¥343.1011 |
| 12 months + 60 lists | EGP 2999.99 | ¥411.7216 |
| 3 months | EGP 599.99 | ¥82.3432 |
| 3 months + 10 lists | EGP 899.99 | ¥123.5155 |
| 6 months + 30 lists | EGP 1999.99 | ¥274.4806 |
| OCR Feature | EGP 249.99 | ¥34.3089 |
| 12 months + 30 lists | EGP 2499.99 | ¥343.1011 |
| 6 months + 60 lists | EGP 2499.99 | ¥343.1011 |
| 3 months + 60 lists | EGP 2299.99 | ¥315.6529 |
| 3 months + 30 lists | EGP 1299.99 | ¥178.4119 |
⚠️ Cross-Region Purchase Notice
- Requires an Apple ID registered in 埃及
- Usually need to top up via gift cards
- Apple may adjust regional pricing at any time
- Existing subscriptions may be affected when switching regions
FAQ
How much is trainchinese in 埃及?▼
EGP 899.99 (≈ ¥123.5155/month).
Is 埃及 a cheap region?▼
Yes, 26% below the global average.