OpenAI Whisper + Greenhouse (Beta) Integration

You rely on candidate data to report hiring velocity and interview metrics, but audio files sit unprocessed in your applicant tracker until someone listens and types them out, so your reports are always missing key context — with this integration, every interview recording is transcribed instantly and your talent analytics stay current.

You need to review candidate submissions and interview recordings rapidly to keep top talent engaged, but manual transcription bottlenecks your screening process and delays feedback delivery — with this integration, candidate audio is transcribed automatically the moment it lands and your screening pace accelerates.

You coordinate closely with recruiters to evaluate candidate fit, but waiting for manual interview notes leaves you guessing about initial phone screens and applicant audio submissions — with this integration, accurate transcripts appear in your workspace instantly and your evaluation meetings start fully informed.

You manage high application volumes across multiple roles, but keeping track of candidate audio files and notes by hand creates massive administrative backlog — with this integration, every submission is processed and logged without manual intervention and your recruitment pipeline scales effortlessly.

You depend on upstream recruiters to hand over comprehensive candidate notes before candidate debriefs, but delayed transcriptions leave your panel unprepared for live discussions — with this integration, structured transcripts are delivered to your team immediately and your debrief sessions run efficiently.

You need a reliable, searchable history of candidate interactions for auditing and compliance, but manual record-keeping often leaves gaps in audio documentation — with this integration, every audio file is transcribed and stored securely and your compliance logs remain complete and verifiable.