Happy Scribe + Magical API Integration

You're reviewing interview recordings and candidate files but your tracking sheets only update when someone manually types in the data, so the applicant counts you're reporting against are always a few hours behind — with this integration, every new transcription triggers automatic resume extraction and your tracking data stays current.

You need to evaluate qualified applicants quickly but you find out about top candidates long after their interviews are transcribed because notifications require manual follow-up — this integration means every processed audio file instantly scores resumes and alerts your team without delay.

You answer to external clients who want to see candidate progress updates in real time while your team is busy transcribing client calls by hand — automating both apps means extracted profile details and scores sync straight to your shared databases instantly.

The volume of candidate interview audio is too high for anyone to keep up by hand, leading to delayed database entries and missed candidate follow-ups — connecting these apps means every new submission is parsed, scored, and logged automatically.

You own the technical screening step and depend on recruiters to hand over candidate details once transcripts are ready, causing bottlenecks in your review schedule — with this integration, candidate scores and feedback arrive the moment audio processing finishes.

You need a reliable history of all candidate screenings and keep finding gaps where manual data entry missed transcribed records — automating both apps means every file creates an immutable, perfectly documented record across your systems.