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Case Study: WhatConverts achieves over 50% cost savings with AssemblyAI

WhatConverts Case StudySourced & dated by Case Study Desk
Key facts · TL;DR
Company
WhatConverts
Industry
Marketing Analytics
Challenge
WhatConverts needed state-of-the-art accuracy without big-tech pricing.
Headline result
WhatConverts cut transcription costs while improving accuracy

Key results

50%
Cost savings vs. other providers
50–60% range
10%
Improvement in transcription accuracy
up to

The challenge

WhatConverts, a lead tracking and reporting platform, relies on call transcription to power features for its customers. It needed state-of-the-art transcription accuracy while controlling the cost of processing call audio compared with large incumbent providers.

The solution

WhatConverts adopted AssemblyAI's speech-to-text, gaining higher transcription accuracy at a lower price point than the big-tech providers it evaluated.

The results, in context

WhatConverts reports up to a 10% improvement in transcription accuracy and 50–60% cost savings versus other big-tech providers, allowing it to power more useful features.

Products used

AssemblyAI Speech-to-Text API