transcribe

To transcribe large audio files into SRT subtitles, this tool provides production-grade speech-to-text using the Groq Whisper API. It handles automatic file segmentation for long recordings and supports multiple output formats including SRT and VTT.

Yes, you need Node.js and FFmpeg to convert speech to text with this solution. A valid GROQ_API_KEY is also required to access the Groq Whisper API for processing the transcription.

Yes, you can get word-level timestamps from audio transcription by outputting the results to JSON. The tool generates plain text, JSON, SRT, and VTT formats to support detailed timestamp analysis.

The best way to auto-detect language during speech-to-text conversion is using the Groq Whisper API. This tool automatically identifies the spoken language and transcribes the audio accurately without manual configuration.

Repeat audio transcription takes less time to process because the tool implements intelligent caching. This mechanism stores previous transcription results, bypassing the need to send the same audio to the Groq Whisper API again.

Subtitle generation from audio supports SRT and VTT formats. Additionally, the tool outputs plain text and JSON with word-level timestamps to accommodate various content creation and accessibility needs.