Multi-provider transcription
Whisper-class local models and cloud APIs. pick what fits language, latency, and hardware.
Swap engines per job without losing library context.
Outcome-led capabilities with product screenshots. depth without a manual.
Whisper-class local models and cloud APIs. pick what fits language, latency, and hardware.
Swap engines per job without losing library context.
Know who said what, rename speakers for your team, and keep the transcript even when diarization needs a retry.
Template-driven summaries and per-recording chat so stakeholders get the gist without re-listening.
Pose questions across completed recordings; answers cite the sources they came from.
Full-text search over transcripts. open the hit in context and keep moving.
CLI folder watcher, webhooks, and AutoFlow notifications when transcription finishes. less manual polling.
Wire aScribe into the systems you already run.
Talk to us about installation on your server, or create a hosted account and start transcribing.