Case Study: WhatConverts achieves 50%+ cost savings and better transcription accuracy with AssemblyAI

A AssemblyAI Case Study

Preview of the WhatConverts Case Study

WhatConverts improves transcription accuracy by 10% with AssemblyAI

WhatConverts, a call tracking software platform, needed a highly accurate speech-to-text API to power its call transcription feature for marketing attribution. Their challenge was to find a provider that could deliver superior transcription accuracy to reliably rank phone call leads, after testing solutions from larger tech companies.

By implementing AssemblyAI's Speech-to-Text API, WhatConverts achieved a 10% improvement in transcription accuracy. The solution also included PCI Redaction for improved security and provided over 50% cost savings compared to other providers. AssemblyAI enabled WhatConverts to offer its users more accurate, secure, and cost-effective transcriptions.


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