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Swiftgram: Telegram mod client

Swiftgram: Telegram mod client

Akentech Ltd

Social Networking免费v12.7
App Store
评分

4.2

534 条评分

星级

★★★★☆

最近更新

2026年5月12日

发布日期

2023年12月8日

更新内容

v12.7

Bug fixes, minor improvements, and more.

应用信息

开发者
Akentech Ltd
分类
Social Networking
价格
免费
版本
12.7
App ID
6471879502

简介

Swiftgram is a modded client for Telegram with Lots of features, focus on Privacy, No Limits, No Ads. Completelly Open Source and includes all latest updates from Telegram plus UNLIMITED ACCOUNTS: Add as many numbers as you want for FREE. ACCOUNTS BACKUP: Log-in to your accounts without SMS-code. Restore all Sessions that are still Active on Telegram servers. MESSAGE FILTER: Reduce visibility of SPAM, promotions and annoying messages. FORMATTING PANEL: Bold, Italic, Links? Formatting with just a single tap. VOICE-TO-TEXT: Transcribe audio messages to text for FREE. TRANSLATOR: Real-time translations for an entire chat. Translate messages you send with a single tap. STORIES: Hide stories or disable swipe for recording. APPLE WATCH COMPANION: Send and Receive Text and Voice messages on your Watch, only in Swiftgram! CHAT MANAGEMENT: Control Tabs, Hide "All Chats", move Folders to bottom and remember the last opened Folder to quickly jump into the discussion. HIDE NOTIFICATIONS: No more Pinned Messages or @mentions when you need some piece of mind. 50+ CUSTOMIZATIONS: Tabs, Chat List and Folders, Profiles, Stories, Translator, Better Photos, Stickers, Context Menu and much, MUCH MORE! SIMPLICITY: Swiftgram remains easy to use with no interface clutter. PRIVACY-FOCUSED: Instant Passcode Lock, Completelly Open Source, No Ads, No Trackers. Your messages and chats remain secure. ACCESSIBILITY: Improved VoiceOver support for Messages Sharing, cause A11y matters! Follow the news: @swiftgram Discuss: @swiftgramchat Swiftgram is an unofficial fork based on Telegram API. Terms of Use: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/

下载量预测

专业 · 预览

预估总下载量

15K11K27K
保守估计乐观估计

356

低 / 月

509

预估 / 月

890

高 / 月

基于534 条评分
假设评分率3.5%
应用年龄30 个月

基于评分数量 ÷ 类别评分率估算,实际下载量误差可达 ±50%,与 Sensor Tower 方法一致。