Conformer

Converts audio speech into text with 99%+ accuracy across diverse accents, background noise conditions, and technical terminology. Handles both pre-recorded and streaming audio inputs with minimal errors.

Provides sub-second latency transcription of live audio streams, enabling real-time captioning and interactive voice applications. Processes audio as it arrives without waiting for complete recordings.

Provides REST API and WebSocket endpoints for integrating speech-to-text capabilities into custom applications, platforms, and workflows. Enables programmatic transcription without UI dependencies.

Provides confidence scores for transcribed segments and overall quality metrics, enabling assessment of transcription reliability and identification of uncertain portions.

Identifies and extracts named entities such as names, organizations, locations, and technical terms from transcribed audio. Automatically tags and categorizes entities within the transcript.

Automatically detects and redacts sensitive personal information such as credit card numbers, social security numbers, phone numbers, and email addresses from transcripts. Ensures compliance with privacy regulations.

Handles diverse accents, dialects, and non-native speech patterns with high accuracy. Trained to recognize speech variations across different regions and language backgrounds without degradation in accuracy.

Maintains high transcription accuracy even in noisy environments with background chatter, music, traffic, or other ambient sounds. Filters and suppresses noise while preserving speech clarity.

Accurately recognizes and transcribes domain-specific technical terminology, jargon, and specialized vocabulary from fields like medicine, law, engineering, and technology. Reduces transcription errors for technical content.

Processes multiple audio files in batch mode, transcribing them efficiently without requiring real-time streaming. Suitable for large-scale transcription jobs of pre-recorded content.

Identifies and separates different speakers in multi-speaker audio, labeling each speaker turn and tracking speaker changes throughout the transcript. Enables speaker-attributed transcription.

Generates precise timestamps for each word or phrase in the transcript, enabling synchronization with video, seeking to specific moments, and time-based transcript navigation.