Show HN: Omnilingual ASR – Global Speech Recognition for 1,600 Languages

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1,600+ Language Support

Native transcription for 1,600+ languages including 500 previously unsupported low-resource languages. Extend to 5,400+ languages with zero-shot learning.

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State-of-the-Art Accuracy

Character error rates below 10% for 78% of supported languages. Trained on 4.3 million hours of multilingual audio for unmatched precision.

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Lightning-Fast Processing

Scalable architecture with models from 300M to 7B parameters. Choose speed or accuracy based on your needs—process hours of audio in minutes.

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Zero-Shot Learning

Extend recognition to entirely new languages with just a few in-context examples. No fine-tuning required for language adaptation.

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Multi-Speaker Detection

Automatically identify and separate different speakers in conversations, meetings, and interviews with advanced diarization.

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Flexible Integration

REST API, Python SDK, and web interface. Deploy on cloud or edge devices. Enterprise-grade security and compliance.

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Advanced Model Architectures

Dual decoder options: CTC-based models for efficiency and LLM-ASR decoders for maximum accuracy. Choose the right balance for your use case.

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Massive Training Data

Trained on 4.3 million hours of multilingual audio data, including the Omnilingual ASR Corpus covering 350 underserved languages.

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Continuous Improvement

Models regularly updated with new data and techniques. Benefit from the latest advances in speech recognition research automatically.

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Optimized for All Hardware

Run on GPU, CPU, or edge devices. Lightweight models for mobile apps, powerful models for maximum accuracy—all from the same API.

🎬 Media & Entertainment

Generate subtitles and captions for videos, podcasts, and streaming content in 1,600+ languages. Reach global audiences effortlessly.

🏢 Business & Enterprise

Transcribe meetings, calls, and presentations. Enable searchable archives, compliance documentation, and multilingual customer support.

📚 Education & E-Learning

Create accessible course materials, lecture transcripts, and multilingual educational content for students worldwide.

🌐 Language Preservation

Document and preserve endangered languages with accurate transcription. Support linguistic research and cultural heritage projects.

♿ Accessibility Services

Provide real-time transcription for deaf and hard-of-hearing communities. Enable inclusive communication across languages.

🔬 Research & Analytics

Analyze voice data, conduct linguistic research, and extract insights from multilingual audio datasets at scale.

Wav2vec 2.0 Foundation:

Self-supervised learning on massive unlabeled speech data enables robust feature extraction across diverse languages and acoustic conditions.

Transformer Decoders:

LLM-ASR architecture leverages language model capabilities for improved context understanding and superior transcription quality.

In-Context Learning:

Zero-shot and few-shot capabilities allow rapid adaptation to new languages without expensive retraining or fine-tuning.

Multilingual Training:

Cross-lingual transfer learning enables high accuracy even for languages with limited training data by leveraging related languages.

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Upload Your Audio

Upload audio files in any format—podcasts, meetings, lectures, or voice recordings. Support for 1,600+ languages automatically detected.

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AI Transcription

Our advanced AI models process your audio with industry-leading accuracy, handling multiple speakers, accents, and low-resource languages.

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Export & Use

Download transcripts in multiple formats (TXT, SRT, VTT, JSON), edit in our interface, or integrate via API into your workflow.