Audio to Text

Audio to Text

Quickly and accurately convert audio to text with GPU-accelerated transcription technology. Supports multilingual recognition, speaker diarization, and real-time transcription to unlock the full value of your audio data.

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Transcription Output

Thank you all for joining. We're excited to share that this month our MRR reached $120K — up 38% from March. Additionally, we've successfully migrated our entire inference pipeline to NexGPU, reducing latency by 41% and cutting GPU costs in half. Finally, we're preparing to launch a new product line focused on real-time voice assistants.

Purpose-Built for Transcription

High-Accuracy Speech Recognition

Convert audio files to precise transcripts using Whisper and other open-source models. Supports multiple languages and dialects with industry-leading accuracy.

Large-Scale Batch Processing

Handle massive transcription tasks with scalable GPU access. Whether it's hours or thousands of hours of audio, process efficiently.

Multi-Language & Format Support

Support multiple languages and any common audio format in controlled containers. MP3, WAV, FLAC, M4A and more work out of the box.

One-Click Environment Launch

Launch a ready-to-use speech-to-text environment with one click or via CLI. Pre-built Whisper ASR templates, no complex configuration needed.

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Related Blog Posts

Audio Transcription with Whisper Large V3 on NexGPU
Speech-to-Text with Speaker Diarization: Comparing Pyannote and Sortformer on NexGPU
Voice Activity Detection (VAD) with Pyannote on NexGPU

Related Guides

Whisper ASR Complete Guide

Get Started: Speech-to-Text Templates

Use pre-built templates to quickly launch your audio transcription workflow.

Whisper ASR Web Service

A multitask model capable of multilingual speech recognition, speech translation, and language identification. Supports batch processing and real-time streaming.

Start Your Audio Transcription Journey

Whether it's meeting transcription, podcast conversion, or large-scale speech data processing, NexGPU provides fast, accurate, and cost-effective GPU-accelerated transcription.