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소스 채널 @phpdevelopersuz · Post #3292 · 8월 14일

🥳Bugun Telegram 10 yoshga to'ldi. Pavel Durovtug'ilgan kun haqida shunday dedi: Atigi oʻn yil ichida Telegram 800 milliondan ortiq faol foydalanuvchilarga ega boʻldi. Yillar davomida ko'plab yangilanishlar va takomillashtirishlar orqali Telegram zamonaviy xabar almashish tajribasi qanday bo'lishi kerakligini qayta belgilab berdi. Telegram uchun navbatdagi qadam - bu xabar almashishdan tashqariga chiqish va umuman, ijtimoiy tarmoqlarda innovatsiyalarni rivojlantirish. Biz mashhurligimizdan milliardlab odamlarning hayotini yaxshi tomonga o'zgartirish, sayyoramizdagi odamlarni ilhomlantirish va ko'tarish uchun foydalanishimiz kerak. Bugungi kunda barcha foydalanuvchilar uchun hikoyalarning bosqichma-bosqich chiqarilishi Telegram tarixidagi ushbu yangi bosqichning boshlanishini anglatadi. O'tgan o'n yillik hayajonli bo'lsa-da, keyingi 10 yil Telegram o'zining haqiqiy salohiyatiga erishadigan vaqt bo'ladi. 🥳 #durov#telegram#10yosh ✅@TGraphUz | 📺YouTube

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GitHub Trends

@githubtrending · Post #15030 · 2025. 08. 05. PM 12:00

#typescript#ai#cross_platform#desktop#openai#rust#transcribe#whisper You can use Vibe to easily transcribe audio and video files on your own computer without needing the internet. It works offline using OpenAI’s Whisper engine, so your data stays private and never leaves your device. Vibe supports many languages, multiple file formats like SRT for captions, and can transcribe from system audio, microphone, or popular websites. It runs on Mac, Windows, and Linux, and offers features like batch transcription, real-time preview, translation, and AI-powered summaries. This helps you quickly get accurate transcripts while keeping your information secure and under your control. https://github.com/thewh1teagle/vibe

Libreware

@libreware · Post #1114 · 2023. 03. 09. PM 10:58

https://writeout.ai #Transcribe and #translate any #audio file. 100% free to use. This website with source code available (it can be hosted locally) allows you to upload any audio file and receive a transcription and/or text translation. It uses OpenAI's Whisper API on the back end. Source on GitHub: https://github.com/beyondcode/writeout.ai #writeout#ai#speech#recognition