Speech API

The Reka Speech API provides powerful audio processing capabilities, enabling you to transcribe audio, translate speech across languages, and generate translated audio output using AI-powered models.

Key Features

• Audio Transcription: Convert speech to text with word-level timestamps
• Speech Translation: Translate audio from one language to another with high accuracy
• Speech-to-Speech Translation: Generate translated audio output that preserves the original speaking style
• Multi-language Support: Support for English, French, Spanish, Japanese, Chinese, Korean, Italian, Portuguese, and German

Getting Started

1. Encode to base64 or host the audio file and provide a URL
2. Transcribe audio using the /v1/transcription_or_translation endpoint
3. Translate speech by adding target_language parameter
4. Generate translated audio by setting return_translation_audio: true

Authentication

All Speech API requests require authentication using an API key in the X-Api-Key header:

$
X-Api-Key: YOUR_API_KEY

Base URL

https://api.reka.ai

Supported Languages

The Speech API supports translation between English and the following languages:

• French
• Spanish
• Japanese
• Chinese
• Korean
• Italian
• Portuguese
• German

Audio Format Requirements

• Format: WAV
• Sampling Rate: 16,000 Hz (recommended)
• Encoding: Base64 or URL to hosted audio file
• Input Methods:
  • audio_url: URL to audio file (http/https or data URI)
  • Base64-encoded audio as data URI: data:audio/wav;base64,<base64_string>

Models

The Speech API supports reka-tiny-asr: Fast and efficient model for transcription

Example: Prepare Audio

Before calling the API, you need to prepare your audio file:

Python

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import base64
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import io
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import librosa
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import soundfile
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SAMPLING_RATE = 16_000
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with soundfile.SoundFile("/path/to/audio.wav") as sound_file:
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    waveform, _ = librosa.load(
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        sound_file,
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        sr=SAMPLING_RATE,
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    )
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    cache = io.BytesIO()
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    soundfile.write(cache, waveform, SAMPLING_RATE, format="WAV")
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    cache.seek(0)
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    audio_in_base64 = base64.b64encode(cache.read()).decode("ascii")
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audio_url = f"data:audio/wav;base64,{audio_in_base64}"

Rate Limits

Please contact us for information about rate limits and pricing for the Speech API.