How to Set Up Speech-to-Text in Kdenlive (Whisper AI Tutorial)

🎙️ Want automatic subtitles in Kdenlive? This video shows you exactly how to download, install, and configure Whisper AI for speech-to-text and voice recognition in Kdenlive. Whether you're editing YouTube videos, interviews, or podcasts, this feature saves you hours of manual transcription! 🛠️ What you'll learn: How to install Python and Whisper AI How to set up speech recognition in Kdenlive How to fix common errors during installation How to generate automatic subtitles with just a few clicks ✅ Works with Kdenlive 25.04+ 🧠 Powered by OpenAI Whisper 🔗 Download Kdenlive: https://kdenlive.org 📥 Download Kdenlive 25.04.2: 👉 https://kdenlive.org/download/ 🔗 *Useful Links:* [Download DaVinci Resolve 19.0](https://www.blackmagicdesign.com/prod...) Link for Davinci Resolve Tutorial:-    • DaVinci Resolve 20  - Full Tutorial for Be...   Link For software update & Tutorial:    • Software updates   📌 Don’t forget to like, subscribe, and hit the 🔔 to stay updated on more Kdenlive tutorials! Guide:- With the latest update of kdenlive 23:04 comes with two big updates. The Nesting Sequence and OpenAI Whisper, the most accurate speech recognition. OpenAI is the company behind ChatGPT. What it means for Kdenlive user? Most accurate speech translations. In the next video we show you how you can install it. Kdenlive https://kdenlive.org/en/download/ Python https://www.python.org/ OpenAI Python Model https://pypi.org/project/openai-whisper/ OpenAI Whisper https://openai.com/research/whisper pip install openai pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118 pip install -U openai-whisper pip install numba pip install numpy==1.26.4 pip install srt pip install -r "C:\Program Files\kdenlive\bin\data\kdenlive\scripts\whisper\requirements-whisper-windows.txt" pip install hf_xet pip install --upgrade pip setuptools wheel 🔗 Don’t forget to like, comment, and subscribe for more Kdenlive tutorials! #Kdenlive #WhisperAI #SpeechToText #VideoEditing #AutoSubtitles #OpenSource