video-to-text-groq

To transcribe a YouTube video to text with Groq Whisper, provide the URL to the transcribe.py script. The tool uses yt-dlp to extract the audio, converts it with ffmpeg, and sends the data to the Groq API to generate raw text and SRT subtitles.

Yes, you can generate SRT subtitles from local MP4 and MP3 files. The tool processes local media inputs alongside supported video platform links, converting them through ffmpeg before transcribing the audio into text and SRT format using Groq Whisper.

Yes, a GROQ_API_KEY is required to transcribe audio to text. The key authenticates your requests to the Groq API, which processes the extracted audio data through the Whisper model to produce accurate transcriptions and SRT subtitle files.

The maximum audio file size supported for transcription is 25 MB. If your media exceeds this limit, you must split or compress the audio file before processing it through the Groq API to ensure successful transcription.

Yes, this transcription tool works with Bilibili and Douyin links. It supports input flexibility across multiple popular video platforms including YouTube, Bilibili, Douyin, and Xiaoyuzhou, using yt-dlp to extract audio for transcription.

Video transcription fails on large media files because the Groq API supports audio up to 25 MB. The tool uses ffmpeg to convert media before sending it, so you must ensure your extracted audio file is compressed below this size limit.