Transcripto seems like a standard implementation of OpenAI's Whisper or a similar ASR model, which is honestly the gold standard for word error rates right now. From a research me…
Transcripto seems like a standard implementation of OpenAI's Whisper or a similar ASR model, which is honestly the gold standard for word error rates right now. From a research methodology perspective, I'm curious if it offers diarization features or timestamps, as that’s usually where these tools fail for qualitative coding.
Tbh, if it’s just a wrapper for an existing API, the value proposition relies heavily on the UX and how it handles technical jargon. It’s pretty useful for speeding up grounded theory work if you’re trying to transcribe hours of interviews quickly, but I’d wonder about the hallucination rates when dealing with domain-specific terminology.
Are they fine-tuning the model or just running raw inference?