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Models/OpenAI TTS-1 HD
OpenAIPaid API

OpenAI TTS-1 HD

Speech Synthesis โ€ข Released 2023-11-06 โ€ข Last Verified 2025-02-01

Try PlaygroundDocs

OpenAI TTS-1 HD is an enterprise-grade audio processing and speech recognition model by OpenAI. Optimized for low-latency automatic speech-to-text transcription, multi-speaker diarization, real-time voice translation, and acoustic feature analysis across noisy ambient environments.

Context WindowN/A
LicenseProprietary
Deployment
Cloud Only
API AvailableYes (REST/SDK)
๐Ÿ’ก

Plain English Summary (What is this model & who is it for?)

Think of OpenAI TTS-1 HD as a super-fast automated transcriber. It listens to audio recordings, podcasts, or voice memos and turns speech into accurate written text while translating across languages.

๐Ÿ’ก Real-World Use Cases & Practical Examples

๐ŸŽ™๏ธ Meeting Transcription: Turn recorded Zoom meetings or voice memos into searchable text notes.
๐ŸŒ Video Subtitles & Translation: Generate multi-lingual captions for YouTube and course videos.
๐Ÿ“ž Call Center Analysis: Transcribe customer support calls to evaluate sentiment and key topics.

๐Ÿš€ How to Run & Use This Model (Step-by-Step Guide)

Simple setup instructions for everyday users and developers.

1

Sign Up & Get API Access

Create a account on OpenAI's official developer portal and obtain your API Key.

2

Try the Interactive Playground

Click the "Try Playground" button at the top of this page to test prompts instantly inside your web browser.

3

Send Your First Request

Use standard HTTP cURL requests or official Python/Node.js SDKs to send prompts to the endpoint.

4

Integrate Into Your App

Pass the model ID "tts-1-hd" into your code payload to power chatbots, workflows, and web applications.

Benchmark Performance

MOS4.7

Strengths

  • โ€ขHigh accuracy
  • โ€ขFast inference

Limitations & Weaknesses

  • โ€ขClosed source API
Integration Code (audio-speech)
from transformers import pipeline

transcriber = pipeline("automatic-speech-recognition", model="tts-1-hd", device="cuda")
result = transcriber("audio.mp3")

print("Transcription:", result["text"])

Pricing Overview

$30.00 / 1M chars

Prices subject to provider tiers and volume discounts. Check documentation for current token rates.

Model Tags

#tts#hd

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