Case Study: Public Interest Podcast converts archives into accessible, searchable transcripts for a book with Speechmatics

Public Interest Podcast - Customer Case Study

Public Interest Podcast, a Washington, D.C.–area show featuring interviews with public servants and community figures, wanted to transcribe its audio archive into a book to reach listeners who don’t connect with audio and to improve accessibility and discoverability. Manual transcription was too slow and expensive, so they chose Speechmatics’ Automatic Speech Recognition (ASR) / cloud transcription service to meet the challenge.

Speechmatics delivered a pay-as-you-go, web-console transcription service that processes hours of pre-recorded podcast audio in minutes (not hours), accurately labeling speakers and returning time-stamped, confidence-scored output by email, text or JSON. The result was fast, cost-effective transcription that enabled the archive-to-book project, boosted accessibility and searchability, and gave Public Interest Podcast the speed and accuracy they needed—outcomes the client praised for being “fast, accurate, and easy to use.”

Public Interest Podcast

Jordan Cooper

Host