Voice recognition

Models 12

• Gen 3
  Ink 2

  By Cartesia

  Ink 2 is Cartesia’s speech-to-text model for voice agents, optimized for streaming transcription, semantic endpointing, noisy audio, and low-latency turn detection.

  🗒Transcription🎙️Voice recognition🎤Dictation
  NewMultimodal

  Released 1mo ago
• Gen 3 GPT
  GPT Realtime Whisper

  By OpenAI

  GPT-Realtime-Whisper is OpenAI’s streaming speech-to-text model for low-latency live transcription. It transcribes speech as people talk, enabling captions, meeting notes, voice-agent understanding, classroom or broadcast transcription, and faster spoken-workflow automation while the conversation is still happening.

  🎤Voice transcription🎙️Voice recognition🎤Voice notes transcription
  NewMultimodal

  Released 1mo ago
• Gen 3
  MiMo V2.5 ASR

  By Xiaomi

  MiMo-V2.5-ASR is Xiaomi MiMo’s state-of-the-art end-to-end ASR model for robust transcription across Mandarin, English, Chinese dialects, code-switching, songs, noisy audio, and multi-speaker conversations. It is an 8B model aimed at difficult real-world recognition scenarios rather than only clean speech.

  🗒Transcription🎙️Voice recognition🎤Voice transcription
  NewMultimodal

  Released 2mo ago
• Gen 3
  FunAudio ASR

  By Alibaba

  FunAudio-ASR, also called Fun-ASR, is Tongyi Lab’s end-to-end speech recognition model family for production ASR. It is trained on very large real-speech data, supports low-latency real-time transcription, and is designed for strong contextual understanding, domain terminology handling, and multilingual recognition.

  🗒Transcription🎙️Voice recognition🎤Voice notes transcription📝Meeting transcription
  NewMultimodal

  Released 2mo ago
• Gen 3
  Chorus v1

  By Trelis Research

  Chorus-v1 is Trelis’s open-weight two-speaker ASR model for short mono audio clips with overlapping speech. It is a fine-tune of Whisper Large v3 Turbo that outputs a separate timestamped transcript for each of two speakers, without requiring an upstream diarization step.

  🗒Transcription🎙️Voice recognition📝Meeting transcription
  NewMultimodal

  Released 2mo ago
• Gen 3
  MOSS Audio

  By OpenMOSS

  MOSS-Audio is an open-source unified audio understanding model family from MOSI.AI, OpenMOSS, and the Shanghai Innovation Institute. It is built to handle speech, environmental sound, music, captioning, time-aware QA, and complex audio reasoning in one system, with 4B and 8B Instruct and Thinking variants.

  🗒Transcription🎙️Voice recognition🎧Audio translation🎵Music analysis
  NewMultimodal

  Released 2mo ago
• Gen 3
  MAI Transcribe 1

  By Microsoft

  MAI-Transcribe-1 is Microsoft’s multilingual speech-to-text model for high-accuracy production transcription. It is positioned as the most accurate transcription model in the world across 25 languages, with strong performance in noisy environments, resilience to accents and speaking styles, and speed fast enough for a wide range of real-world transcription use cases.

  🗒Transcription🎙️Voice recognition
  Multimodal

  Released 3mo ago
• Gen 4
  Atlas 1

  By Willow

  Atlas 1 is the voice AI model behind Willow, built for fast, high-accuracy dictation and polished speech-to-text writing workflows. It is designed to adapt to the user’s tone and speaking style in real time, turning natural speech into cleaned-up text for emails, messages, documents, and prompts.

  🎤Dictation🎙️Voice recognition🗒Transcription
  Audio

  Released 3mo ago
• Gen 4
  Cohere Transcribe

  By Cohere

  Cohere Transcribe is an open-source automatic speech recognition model for highly accurate audio transcription. Cohere says it is built for practical enterprise use, supports 14 languages, uses a 2B parameter Conformer-based encoder-decoder architecture, and currently ranks #1 on Hugging Face’s Open ASR Leaderboard for accuracy.

  🎤Voice transcription📽Video transcription🎙️Voice recognition🎤Voice notes transcription
  Audio

  Released 3mo ago
• Gen 4
  FireRedASR2S

  By FireRedTeam

  FireRedASR2S is an industrial-grade all-in-one ASR system combining ASR, VAD, LID, and punctuation modules.

  🎙️Voice recognition🗣️Speech to speech🎤Voice transcription
  Audio

  Released 1y ago
• Gen 4
  RealtimeSTT

  By KoljaB

  RealtimeSTT is KoljaB’s open-source low-latency speech-to-text library for real-time voice applications. It listens to microphone audio, detects speech activity automatically, supports optional wake-word activation, and performs fast transcription using Faster-Whisper, making it suitable for voice assistants and other live speech interfaces.

  🗒Transcription🎙️Voice recognition🎙️Voice detection🎤Voice commands
  Audio

  Released 2y ago
• Gen 3
  Whisper

  By OpenAI

  Whisper is OpenAI’s open-source general-purpose speech recognition model for transcription, translation, and language identification. It is a multitask Transformer sequence-to-sequence system trained on large-scale diverse audio, with multilingual support and model sizes ranging from tiny to large plus a faster turbo variant.

  🗒Transcription🎙️Voice recognition🎧Audio translation🌍Multilingual subtitle creation
  Multimodal

  Released 3y ago