Industry-Leading Speech Recognition

Powered by OpenAI Whisper - the most accurate multilingual speech recognition available. 95%+ accuracy across 100+ languages, handling accents, dialects, and background noise with ease.

See How It Works

Integrates with the tools you already use

ShopifyAmazonStripeSlackNotionVercel
95%+

Accuracy

Across languages

100+

Languages

Supported

680K

Hours Training

Multilingual data

Real-time

Processing

Fast transcription

Why OpenAI Whisper?

Whisper represents a breakthrough in automatic speech recognition, trained on 680,000 hours of multilingual audio.

100+ Languages

Native support for major and regional languages, including Indian, Asian, and European languages.

Accent Handling

Trained on diverse accents - Indian English, British, Australian, regional dialects all handled accurately.

Fast Processing

Real-time transcription capabilities. A 10-minute video transcribed in under a minute.

Language Accuracy

Whisper achieves industry-leading accuracy across all major languages.

English97%+

All accents supported

Spanish96%+

Latin American & European

Hindi94%+

Code-switching handled

French96%+

Canadian & European

German96%+

DACH region

Japanese95%+

Kanji recognition

Chinese95%+

Mandarin & Cantonese

Arabic93%+

MSA & dialects

Portuguese95%+

Brazilian & European

Tamil92%+

Classical & modern

Telugu92%+

Regional variations

Korean95%+

Formal & informal

Accuracy measured on standardized test sets. Real-world performance may vary based on audio quality.

Advanced Capabilities

More than just transcription

Speaker Diarization

Distinguish between multiple speakers in conversations.

Code-Switching

Handle mixed-language speech (Hindi-English, etc.).

Noise Handling

Accurate transcription even with background noise.

Punctuation & Formatting

Automatic punctuation and paragraph breaks.

Timestamps

Word-level and segment-level timestamps for sync.

Batch Processing

Transcribe multiple videos simultaneously.

Exceptional for Indian Languages

Whisper outperforms previous systems on Indian languages, making it ideal for regional content.

Technical Specifications

Model Details

  • Whisper large-v3 (latest version)
  • 1.5 billion parameters
  • Trained on 680,000 hours of audio
  • Weakly supervised learning approach

Supported Features

  • Audio formats: MP3, WAV, M4A, FLAC, WebM
  • Video formats: MP4, MOV, MKV, WebM, AVI
  • Output: SRT, VTT, JSON, plain text
  • Word-level timestamps available

See It In Action

Book a personalized demo with our team. We'll show you exactly how it works for your business.

30 minVideo call

Speech Recognition FAQ

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