Speech-to-Text Pipelines with Whisper
Book a call with AbhineetThe problem
Transcription tools charge per minute, cap file sizes, or send your recordings to someone else's servers. Once you have hundreds of calls, interviews or meetings, the bills climb fast. Running Whisper yourself fixes the cost, but raw Whisper gives you messy output: no speaker labels, hallucinated text during silence, slow processing on the wrong hardware, and GPUs that keep billing while idle.
The solution
A hands-on build of a transcription pipeline on RunPod that takes audio or video in bulk and returns clean, speaker-labelled, searchable transcripts. It covers picking the right Whisper model and GPU, speeding up inference, splitting long files, separating speakers, cleaning up output, and running it as a Serverless endpoint so you only pay while files are processing.
How the session works
Live demo & walkthrough
The expert opens their real project and shows how it works: the setup, the decisions behind it and the pitfalls they hit along the way.
Setup review & troubleshooting
You show your screen or project. The expert walks through it with you, points out what to improve and gives concrete recommendations.
Which format fits depends on your focus - you pick it when you book.