Audio To Text Voice Transcription

via “speech-to-text transcription with audio processing”

Open-source model API — Llama, Mixtral, 100+ models, fine-tuning, competitive pricing.

Unique: Integrates speech-to-text into multi-modal API alongside text, vision, and image generation, enabling single platform for diverse modalities. Most ASR providers (OpenAI Whisper API, Google Cloud Speech-to-Text) are separate services; Together's unified interface simplifies multi-modal workflows.

vs others: Integrated with LLM inference for simplified multi-modal pipelines, but ASR model quality and language support not documented compared to specialized ASR providers like OpenAI Whisper or Google Cloud Speech-to-Text.

via “audio processing with speech-to-text and text-to-speech”

The official Python library for the together API

Unique: Unifies speech-to-text and text-to-speech under a single audio resource namespace (audio.transcriptions and audio.speech), with consistent parameter handling and error management across both directions.

vs others: Simpler than managing separate OpenAI Whisper and TTS APIs because both audio operations are available in one client; supports more audio formats than OpenAI's API.

via “audio file transcription with production-grade accuracy”

Real-time speech-to-text for AI assistants. Transcribe audio files with production-grade accuracy. Pay per use with USDC via x402 — no API keys needed.

Unique: Utilizes a robust model that is optimized for transcription accuracy across various audio qualities, distinguishing it from simpler transcription tools.

vs others: Offers superior accuracy compared to basic transcription services due to its production-grade model.

via “audio-to-text transcription”

via “audio-to-text transcription”

via “audio-to-text voice transcription”

via “audio-file-to-text-transcription”

via “audio-to-text transcription”

via “audio-to-text transcription”

via “audio-to-text transcription”

via “audio-to-text transcription”

via “audio-to-text transcription”

via “batch audio file transcription”

via “audio-to-text transcription”

via “speech-to-text transcription”

via “audio-to-text transcription”

via “audio-to-text transcription”

via “audio transcription and speech-to-text”

via “ai-powered audio-to-text transcription”

via “audio-to-text transcription”