What is Conformer2?
Conformer-2
Conformer‑2 is an automatic speech recognition model trained on 1.1 million hours of English audio, improving accuracy for proper nouns, alphanumeric text, and noisy environments. It delivers faster inference, reducing transcription time for an hour‑long file from 4.
01 minutes to 1.85 minutes, and offers up to 55 % lower latency across file durations. The model incorporates noisy student–teacher training with an ensemble of teacher models to increase robustness and generalization. Conformer‑2 supports a new API parameter, `speech_threshold`, allowing users to skip low‑speech content and control processing costs.
Conformer2 pricing Freemium
Verify on the official pricing page.
View plansConformer2 user reviews
Based on 10 reviews, 70.0% of users recommend Conformer2, rated highly for quality results.
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Conformer2's key features
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Real-time streaming transcription
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Automatic speaker diarization
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Multi-language support with code-switching
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Context-aware prompting 1500+ words
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LLM integration gateway
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Automatic punctuation and casing
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Zero rate limits infrastructure
Conformer2 use cases
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Real-time medical dictation transcription for clinicians, guaranteeing high accuracy on drug names and patient data even in noisy hospital environments, with up to 55 % lower latency compared to legacy ASR systems
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Automated call center analytics and sentiment classification, delivering fast, accurate transcriptions of noisy phone conversations, enabling instant quality assurance and agent coaching with minimal delay
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Live captioning and transcript generation for virtual meetings and webinars, providing low‑latency, highly accurate speech‑to‑text that remains robust in crowded backgrounds and multiple speakers
Who is it for?
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Speech recognition scientists
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Audio analysts
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Digital developers
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Technical researchers
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Data engineers