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Speech-to-text
built for
the real world

While other transcription services were built for clean audio, Plaud's transcription pipeline is optimized for messy, offline environments where conversations actually happen.

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Hardware + software
advantage

Accuracy is driven from a combination of superior audio quality from the devices plus a robust pre-processing pipeline & our own diarization model.

01

Directional Microphones

Multi-directional microphones capture speech for better diarization, while beamforming focuses on active speakers.

02

On-Device Algorithms

VPU runs real-time signal processing to clean audio for better downstream transcription accuracy.

03

Pre-processing & Denoising

Spectral subtraction and adaptive filtering strip background noise, HVAC, crowd chatter before any upload.

04

Transcription API

Transcription API intakes audio and metadata to deliver high accuracy, speaker-diarized transcripts in JSON.

What you get back

Speaker diarization

Automatically identify distinct speakers in every conversation, with a labeled transcript.

112 languages

Support multiple languages in a single conversation, with published accuracy benchmarks for each language.

Real numbers.
Real environments.

These aren't benchmark lab numbers. They come from testing in the same conditions your users work in.

A public benchmark run by Mozilla, used across the industry to measure transcription accuracy.

Ready to build?

Join developers building vertical software powered by real-world conversations. Get your API keys in minutes.

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