#gpt-4o-mini-transcribe

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spare nova
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Can gpt-4o-mini-transcribe transcribe and translate Spanish audio to English text?

desert laurelBOT
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Hi @spare nova. I'm kapa.ai, your friendly support bot. I will try to answer your question by searching through the knowledge base. :wave:

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Yes, gpt-4o-mini-transcribe can both transcribe and translate Spanish audio to English text. The OpenAI Audio API provides two endpoints: transcriptions (which transcribes audio into the input language) and translations (which translates and transcribes audio into English). The documentation states that all endpoints, including those using gpt-4o-mini-transcribe, can be used to "translate and transcribe the audio into English" regardless of the input language. You simply need to use the translations endpoint and specify the model as gpt-4o-mini-transcribe, and the API will return the English transcription of your Spanish audio input Speech to text.

Here’s a summary of the relevant information:

  • gpt-4o-mini-transcribe supports both transcription (same language) and translation (to English).
  • Use the /audio/translations endpoint for translation to English.
  • Supported input formats include mp3, mp4, mpeg, mpga, m4a, wav, and webm.

If you want to transcribe Spanish audio to Spanish text, use the transcriptions endpoint. If you want to translate Spanish audio to English text, use the translations endpoint with gpt-4o-mini-transcribe as the model.

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

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@spare nova Kapa.ai is still learning and improving, please let me know how I did by reacting below.

spare nova
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@desert laurel What if I want both the Spanish and English text

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Ok no follow-ups :/

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@desert laurel What if I want both the Spanish and English text

desert laurelBOT
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Let me check the knowledge base for you again. One moment! :books:

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If you want both the Spanish (original) transcription and the English translation of your audio, you will need to make two separate API calls:

  1. Transcribe the Spanish audio to Spanish text using the transcriptions endpoint with gpt-4o-mini-transcribe.
  2. Translate the same Spanish audio to English text using the translations endpoint with gpt-4o-mini-transcribe.

The knowledge sources do not mention a way to get both outputs in a single API call; each endpoint returns only one output (either the original language transcription or the English translation) per request Speech to text.

This is consistent with how the Whisper model and related endpoints work: you must run two passes—one for transcription and one for translation—to obtain both results Whisper discussion.

Summary:

  • Call the transcriptions endpoint for Spanish text.
  • Call the translations endpoint for English text.
  • There is no built-in way to get both in a single request.

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

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@spare nova Kapa.ai is still learning and improving, please let me know how I did by reacting below.

spare nova
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If I turn on stream does that mean I will be able to display the message being translated in real time instead of all at once at the end 🤦 fortto ping

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@desert laurel If I turn on stream does that mean I will be able to display the message being translated in real time instead of all at once at the end

desert laurelBOT
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Let me check the knowledge base for you again. One moment! :books:

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If you enable streaming (by setting stream=True), you will receive the transcription or translation results incrementally, as they are generated, rather than all at once at the end. This allows you to display the message in real time as the model processes the audio.

For example, when streaming a transcription of a completed audio recording, you receive a stream of events (such as transcript.text.delta), which contain parts of the transcript as soon as they are available, followed by a transcript.text.done event when the transcription is complete. This enables real-time display of the transcribed or translated text as it is being processed Streaming transcriptions API Reference.

Note:

  • Streaming is supported for gpt-4o-mini-transcribe and gpt-4o-transcribe, but not for whisper-1.
  • You will need to handle the streamed events in your application to update the display in real time.

So yes, turning on streaming allows you to display the message as it is being transcribed or translated, rather than waiting for the entire process to finish.

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

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@spare nova Kapa.ai is still learning and improving, please let me know how I did by reacting below.

spare nova
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@desert laurel how is streaming different from the realtime api

desert laurelBOT
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Let me check the knowledge base for you again. One moment! :books:

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Streaming and the Realtime API are both ways to get low-latency, incremental results from OpenAI’s audio models, but they are designed for different use cases and have important differences:

Streaming (Transcription/Translation API with stream=True)

  • How it works:
    You upload a completed audio file (or use your own turn detection) and set stream=True in your request. The API then streams back partial results (e.g., transcript deltas) as soon as they are available, so you can display text in real time as the model processes the audio.
  • Endpoints:
    Used with the /audio/transcriptions and /audio/translations endpoints.
  • Use case:
    Best for transcribing or translating pre-recorded audio files or when you control when to start/stop audio capture (e.g., push-to-talk).
  • Limitations:
    Not designed for live, ongoing audio input. You must have the audio file ready to send.
  • Supported models:
    gpt-4o-transcribe, gpt-4o-mini-transcribe (not supported by whisper-1 for streaming).
  • Example:
    You upload a Spanish audio file and get back English translation text, streamed as it’s processed Streaming transcriptions.

Realtime API

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  • How it works:
    You establish a persistent connection (via WebSocket or WebRTC) and stream audio data to the API in real time. The API processes the audio as it arrives and streams back transcription or conversation events, supporting true live, low-latency interactions.
  • Endpoints:
    Uses the /v1/realtime endpoint, with session management for ongoing audio streams.
  • Use case:
    Ideal for live, interactive applications such as voice agents, real-time transcription from a microphone, or speech-to-speech conversations.
  • Features:
    • Supports both transcription-only and conversational (speech-to-speech) modes.
    • Built-in voice activity detection (VAD) for turn detection.
    • Can be used for both real-time transcription and speech-to-speech experiences.
  • Supported models:
    gpt-4o-transcribe, gpt-4o-mini-transcribe, and others.
  • Example:
    You stream live audio from a microphone and receive incremental transcription or translation results as the user speaks Realtime API Realtime transcription.

Summary Table

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Feature Streaming (Transcription/Translation API) Realtime API
Audio input Pre-recorded file Live audio stream
Connection Single HTTP request Persistent WebSocket/WebRTC
Use case File-based transcription/translation Live transcription/conversation
Turn detection (VAD) No Yes
Latency Low (per file) Ultra-low (live)
Event types Transcript deltas, done Delta, completed, VAD events

In short:

  • Use streaming for real-time results from a file.
  • Use the Realtime API for true live, interactive audio experiences.

For more details, see Choosing the right API and Realtime API Guide.

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon: