speech-to-text

io.clawhub.steipete/openai-whisper

Local speech-to-text with the Whisper CLI (no API key).

io.clawhub.araa47/local-whisper

Local speech-to-text using OpenAI Whisper. Runs fully offline after model download. High quality transcription with multiple model sizes.

io.clawhub.theplasmak/faster-whisper

Local speech-to-text using faster-whisper. 4-6x faster than OpenAI Whisper with identical accuracy; GPU acceleration enables ~20x realtime transcription.

io.clawhub.strrl/macos-local-voice

Local STT and TTS on macOS using native Apple capabilities. Speech-to-text via yap (Apple Speech.framework), text-to-speech via say + ffmpeg. Fully offline, no API keys required. Includes voice quality detection and smart voice selection.

io.clawhub.clawdbotborges/elevenlabs-stt

Transcribe audio files using ElevenLabs Speech-to-Text (Scribe v2).

io.clawhub.guoqiao/mlx-stt

Speech-To-Text with MLX (Apple Silicon) and opensource models (default GLM-ASR-Nano-2512) locally.

io.clawhub.kevin37li/mlx-whisper

Local speech-to-text with MLX Whisper (Apple Silicon optimized, no API key).

io.clawhub.okaris/speech-to-text

Transcribe audio to text with Whisper models via inference.sh CLI. Models: Fast Whisper Large V3, Whisper V3 Large.

io.clawhub.rakesh1002/audiopod

Use AudioPod AI's API for audio processing tasks including AI music generation (text-to-music, text-to-rap, instrumentals, samples, vocals), stem separation, text-to-speech, noise reduction, speech-to-text transcription, speaker separation, and media extraction. Use when the user needs to generate music/songs/rap from text, split a song into stems/vocals/instruments, generate speech from text, clean up noisy audio, transcribe audio/video, or extract audio from YouTube/URLs. Requires AUDIOPOD_API_KEY env var or pass api_key directly.

io.clawhub.araa47/gemini-stt

Transcribe audio files using Google's Gemini API or Vertex AI

io.clawhub.tristanmanchester/assemblyai-transcribe

Transcribe, diarise, translate, post-process, and structure audio/video with AssemblyAI.

io.clawhub.impkind/whisper-mlx-local

Free local speech-to-text for Telegram and WhatsApp using MLX Whisper on Apple Silicon. Private, no API costs.

io.clawhub.ilyakam/asr

Fast, affordable automatic speech-to-text transcription supporting 100 languages, speaker diarization, word timestamps, and customizable output formats.

io.clawhub.jonisjongithub/venice-ai

Complete Venice AI platform — text generation, vision/image analysis, web search, X/Twitter search, embeddings, TTS, speech-to-text, image generation.

io.clawhub.paulasjes/elevenlabs-transcribe

Transcribe audio to text using ElevenLabs Scribe. Supports batch transcription, realtime streaming from URLs, microphone input, and local files.

io.clawhub.dagmawibabi/addis-assistant-stt

Provides Speech-to-Text (STT) and text Translation using the Addis Assistant API (api.addisassistant.com). Use when the user needs to convert an audio file to text (specifically Amharic), or translate text between languages (e.g., Amharic to English). Requires 'x-api-key'.

io.clawhub.amreahmed/elevenlabs-voice

Text-to-Speech and Speech-to-Text using ElevenLabs AI. Use when the user wants to convert text to speech, transcribe voice messages, or work with voice in multiple languages. Supports high-quality AI voices and accurate transcription.

io.clawhub.carlulsoe/parakeet-stt

Local speech-to-text with NVIDIA Parakeet TDT 0.6B v3 (ONNX on CPU). 30x faster than Whisper, 25 languages, auto-detection, OpenAI-compatible API. Use when transcribing audio files, converting speech to text, or processing voice recordings locally without cloud APIs.

io.clawhub.thegovind/azure-ai-transcription-py

Azure AI Transcription SDK for Python. Use for real-time and batch speech-to-text transcription with timestamps and diarization. Triggers: "transcription", "speech to text", "Azure AI Transcription", "TranscriptionClient".

io.clawhub.wuxxin/local-whisper-cpp

Local speech-to-text using whisper-cli (whisper.cpp).

io.clawhub.gykdly/voice-recognition

Local speech-to-text with OpenAI Whisper CLI. Supports Chinese, English, 100+ languages with translation and summarization.