PLATFORM > AUTOTRANSCRIBE

Accurate, fast transcription built for real-time CX uses

Capture every word with unmatched accuracy and speed to enable QA, insights extraction, and real-time AI support for agents and customers.

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ASAPP customers are reducing call volume and costs while increasing CSAT

89%+

Accuracy level

60ms

Low latency

100%

CX tech compatibility

SVG of JetBlue logo.

“ASAPP has significantly improved our efficiency in a very short time. Not only are we moving interactions from phone to digital, we’re doing it in a way that both our customers and our crew members love.”

Ian Deason, SVP Customer Experience

Bad transcription is holding back your contact center

Traditional transcription solutions suffer from low accuracy, limiting how useful they are for analysis. Implementing these solutions is challenging, requiring engineering resources to integrate with telephony systems, and they simply aren't built for real-time use cases.

Real-time problem-solving requires real-time transcription

ASAPP AutoTranscribe achieves a remarkably low median latency of 60ms, enabling real-time responses and processing. Readily available transcripts boost the performance of other AI services like virtual agents, next-best action suggestions, and structured data extraction.

High accuracy is non-negotiable

Most transcription solutions get one thing right: the easy stuff. Over 80% of a customer conversation is composed of simple words and phrases, but what’s left over is the most complex and critical. AutoTranscribe excels in accurately transcribing company-specific information.

Customized with your terminology and data

AutoTranscribe performs better over time by fine-tuning with your unique business terms and contact center acoustics (like background noise & telephony quirks). This can result in double-digit percentage improvements in transcription accuracy.

Technology Benchmarking

ASAPP sits at the top of the LibriSpeech Academic Leaderboard, a public platform that showcases the performance of various automatic speech recognition (ASR) systems on the LibriSpeech dataset. The LibriSpeech dataset is a widely used benchmark in the field of ASR, consisting of approximately 1,000 hours of English audiobooks.

Deploy AutoTranscribe with our flexible integration options

AutoTranscribe is purpose-built for CX tech stacks. Use native integrations with major CCaaS providers or our easy-to-use API for on-prem and proprietary solutions.