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- LoneWolfPro OpenAI-Whisper-STT - GitHub
If it is, the script converts the video into an audio file using FFmpeg Then, it leverages the OpenAI-Whisper model to transcribe the audio The transcription is output with timestamped segments, and any temporary files generated during processing are deleted afterward
- Use Whisper to create subtitle files locally without requiring any paid . . .
Since fine-tuning Whisper directly isn't officially supported by OpenAI, the best way to adapt it to your voice is by using alternative methods like custom post-processing, speaker adaptation, and dataset-based training
- Easy video transcription and subtitling with Whisper, FFmpeg, and . . .
This guide will walk you through the exciting journey of transcribing your video using the cutting-edge OpenAI Whisper model and seamlessly adding subtitles with the powerful FFmpeg tool
- Ways to use Whisper for speech-to-text : r OpenAI - Reddit
Hi, Whisper is indeed Open Source and I believe able to be commercialized as well I've been using it to transcribe some notes and videos, and it works perfectly on my M1 MacBook Air, though the CPU gets a bit warm at 15+ minutes
- How to use FFmpeg and Whisper to add subtitles for free
Here is a short an sweet tutorial on how I use Whisper from OpenAI and FFmpeg to add subtitles to videos for free on MacOS FFmpeg is a command-line tool that can be used to manipulate media files in various ways - its open source and probably one of the best open source projects that exists
- ffmpeg - How do I pipe files into whisper. cpp? - Stack Overflow
See trac ffmpeg org wiki Concatenate for how to make a file list Basically you'll add -f concat before -i filelist txt where filelist txt is a specially formatted file with the list of webm files (which must all use the same codec)
- Local Installation Guide for OpenAI Whisper: Step-by-Step Instructions
This guide walks you through everything from installation to transcription, providing a clear pathway for setting up Whisper on your system Whether you're transcribing interviews, creating captions, or automating workflows, this local setup will give you complete control over the process
- GitHub - Sayan-sss STT-Whisper: STT-Whisper: Speech-to-Text using . . .
This project uses OpenAI’s Whisper model via the Hugging Face transformers library to convert speech (audio files) into text It's a lightweight, terminal-based tool that allows easy transcription with no UI overhead
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