Audio Transcription
Converts spoken audio into written text using the GPT-4o model architecture. Supports a wide range of languages with improved accuracy over earlier Whisper-based models.
OpenAI
GPT-4o Transcribe
GPT-4o Transcribe is a speech-to-text model developed by OpenAI that uses the GPT-4o model architecture to convert spoken audio into written text. It is part of OpenAI's audio model lineup and was introduced as an improvement over the original Whisper-based transcription models, offering a lower word error rate and more accurate language recognition across a broader range of languages. The model is designed for use cases where transcription accuracy is a priority, such as meeting notes, voice interfaces, medical dictation, and multilingual content. Because it builds on GPT-4o rather than the earlier Whisper architecture, it brings stronger language understanding to the transcription task, which can help with difficult audio conditions, accented speech, and domain-specific vocabulary.
Unknown
16,000 context
2,000 output
Audio Transcription
Reduced Word Error Rate
Multilingual Recognition
Domain Vocabulary Handling
API Integration
Model Overview
High-signal model metadata in a structured two-column overview table.
Provider
The entity that provides this model.
OpenAI
Input Context Window
The number of tokens supported by the input context window.
16,000
tokens
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
2,000
tokens
Open Source
Whether the model's code is available for public use.
No
Release Date
When the model was first released.
Unknown
Knowledge Cut-off Date
When the model's knowledge was last updated.
Unknown
API Providers
The providers that offer this model. This is not an exhaustive list.
OpenAI API
Modalities
Types of data this model can process.
Text
Audio
What is GPT-4o Transcribe
A fuller summary of positioning, capabilities, and source-specific details for GPT-4o Transcribe.
GPT-4o Transcribe is a speech-to-text model developed by OpenAI that uses the GPT-4o model architecture to convert spoken audio into written text. It is part of OpenAI's audio model lineup and was introduced as an improvement over the original Whisper-based transcription models, offering a lower word error rate and more accurate language recognition across a broader range of languages.
The model is designed for use cases where transcription accuracy is a priority, such as meeting notes, voice interfaces, medical dictation, and multilingual content. Because it builds on GPT-4o rather than the earlier Whisper architecture, it brings stronger language understanding to the transcription task, which can help with difficult audio conditions, accented speech, and domain-specific vocabulary.
Capabilities
What GPT-4o Transcribe supports
Reduced Word Error Rate
Delivers lower word error rates compared to the original Whisper models, making transcripts more accurate with fewer corrections needed.
Multilingual Recognition
Recognizes and transcribes speech in multiple languages, with improved language detection accuracy relative to prior OpenAI transcription models.
Domain Vocabulary Handling
Leverages GPT-4o's language understanding to better handle domain-specific terminology, accented speech, and challenging audio conditions.
API Integration
Available via the OpenAI API under the model ID gpt-4o-transcribe, allowing developers to integrate transcription into applications programmatically.
Pricing for GPT-4o Transcribe
Primary API pricing shown in the same “quick compare” spirit as the reference page.
Input tokens
$2.50
Per million tokens
Output tokens
$10.00
Per million tokens
API Access & Providers
Places where this model is available, based on the synced detail-page metadata.
OpenAI API
Resources & Documentation
Official model cards, release notes, docs, and other references synced from the source page.
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Recent daily stories tied to GPT-4o Transcribe through direct model mentions or provider-level coverage.
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Community discussion
What people think about GPT-4o Transcribe
GPT-4o Transcribe discussions are most active in r/OpenAI, r/speechtech, r/macapps. Top Reddit threads cluster around benchmark and model-comparison threads, coding workflow discussions.
The strongest match in this snapshot has 206 upvotes and 113 comments.
I just found out that OpenAI has released two new closed-source speech-to-text models three weeks ago (gpt-4o-transcribe and gpt-4o-mini-transcribe). Since I hadn't heard of it, I suspect this might be news for some of you too.
The main takeaways:
* According to their own benchmarks, they outperform Whisper V3 across most languages. Independent testing from Artificial Analysis confirms this.
* Gpt-4o-mini-transcribe is priced at half the price of the Whisper API endpoint
* Apart from the improved accuracy, the API remains quite limited though (max. file size of 25MB, no speaker diarization, no word-level timestamps). Since it’s a closed-source model, the community cannot really address these issues, apart from applying some “hacks” like batching inputs and aligning with a separate PyAnnote pipeline.
* Some users experience significant[ latency issues and unstable transcription](https://community.openai.com/t/gpt-4o-mini-transcribe-and-gpt-4o-transcribe-not-as-good-as-whisper/1153905) results with the new API, leading some to revert to Whisper
If you’d like to learn more: I wrote a short [blog post](https://scribewave.com/blog/openai-launches-gpt-4o-transcribe-a-powerful-yet-limited-transcription-model) about it. I tried it out and it passes my “vibe check” but I’ll make sure to evaluate it more thoroughly in the coming days.
Hi!
In my workflow, I want to include a node that transcribes an mp3 file with diarization.
I want to use OpenAI `gpt-4o-transcribe-diarize` model but can't find how to use it.
I am aware that there is a node "OpenAI transcribe" but it uses Whisper and it doesn't diarize the content.
So I tried by adding a "AI Agent" node, then using OpenAI chat model, set with `gpt-4o-transcribe-diarize.`
But how can I set the mp3 file as the input? When I use OpenAI-transcribe node (Whisper), it takes the mp3 file as input data ; but when I use AI Agent+OpenAI (configured with the model `gpt-4o-transcribe-diarize`), I just can't define the binary data as the input.
Thanks for your help!
Hey everyone, has anyone of you had similar experiences? I feel like the transcription with GPT-4o-transcribe has gotten worse lately. A few weeks ago, it worked better, but now it seems to translate content quite literally. No matter how I phrase the system prompt, the translations remain very direct and precise. Do you know if there have been updates or why this is happening?
My system prompt is:
"You’re a transcription service. Your job is to turn text into smooth, correct sentences while keeping the original meaning, tone, and emotional feel.
Key points:
\- Don’t repeat words exactly—capture the meaning in a concise way.
\- Remove filler words, repetitions, and sounds like “um,” “well,” and “like.”
\- Use proper punctuation and break the text into clear paragraphs.
\- Keep it natural and conversational, but easy to read."
Been searching for a while and can't find a proper place. You can't use it on OpenAI Playground without paying for credits.
It's a shame considering I can use the ElevenLabs Scribe V1 freely.
FAQ
Common questions about GPT-4o Transcribe
What is GPT-4o Transcribe and how does it differ from Whisper?
GPT-4o Transcribe is a speech-to-text model from OpenAI that uses the GPT-4o architecture instead of the Whisper architecture. According to OpenAI, it offers a lower word error rate and better language recognition accuracy than the original Whisper models.
Does GPT-4o Transcribe have a context window?
No context window size is specified in the available metadata for GPT-4o Transcribe. As a speech-to-text model, its primary constraint is audio input length rather than a token-based context window.
What languages does GPT-4o Transcribe support?
GPT-4o Transcribe supports multiple languages. OpenAI notes it has improved language recognition accuracy compared to the original Whisper models, though a definitive list of supported languages should be confirmed in the official OpenAI documentation.
What is the pricing for GPT-4o Transcribe?
Pricing details are not included in the available metadata. Current pricing can be found on OpenAI's official pricing page at platform.openai.com/docs/pricing.
What are the best use cases for GPT-4o Transcribe?
GPT-4o Transcribe is suited for applications where transcription accuracy matters, such as meeting transcription, voice interfaces, medical dictation, customer support call logging, and multilingual content workflows.
Is there a knowledge cutoff date for GPT-4o Transcribe?
No training cutoff date is specified in the available metadata for GPT-4o Transcribe. As a speech-to-text model, a knowledge cutoff is less directly applicable than it is for generative language models.
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