Inclusive Speech-To-Text. Powered by Autonomous Speech Recognition.

Available in 34 languages, Speechmatics’ speech-to-text engine is achieving industry-leading reductions in AI Bias and errors, thanks to innovative machine learning techniques.

Chat to an Expert About How Speechmatics is Tackling AI Bias

Book a meeting with the team to learn how Speechmatics is using self-supervised learning to tackle AI Bias and make speech-to-text accessible across 34 languages.

Using Self-Supervised Learning to Train on Real-World Data

AI Bias is a challenge faced by the entire AI and machine learning community. We decided it was time for a change.

Using breakthrough self-supervised learning, our speech-to-text engine trains on vast amounts of ‘unlabelled’ data from across the internet.

This application of deep learning enables us to drastically reduce AI Bias and errors regarding automatic speech recognition.

Speechmatics Vs. The Competition

We put ourselves up against our nearest competitors.

Based on an internal test set of six hours of representation audio (English language audio) we've seen an impressive leap in our speech-to-text accuracy.

Convert Numbers and Financial Jargon into Readable Text

We offer best-in-class recognition of numbers and financial jargon, at no additional cost.

We support highly accurate formatting of:

• Acronyms such as VAT or SEC
• Abbreviations e.g. Generally Accepted Accounting Principles (GAAP)
• Currencies: display ‘one thousand 4 hundred pounds’ as ‘£1,400’
• Percentages: display 'ten percent' as '10%'
• Alphanumerics (string of three or more single digits, “999”)

Start Benchmarking Speech-to-Text Providers Today

Discover how to choose the best speech-to-text engine and get a complimentary checklist for benchmarking success. Inside,we cover:

• Benchmarks and tech specs: what to look for
• Key features to compare
• Speech-to-text procurement checklist