AI model by OpenAI
GPT Transcribe for business
OpenAI's current speech-to-text model, replacing Whisper and the GPT-4o transcribe models, with streaming and keyword or language hints.
- Reviewed on September 24, 2026
- OpenAI
Capability tiersRelative, not benchmarks
Key facts about GPT Transcribe
- Model ID at review
- gpt-transcribe
- Provider
- OpenAI
- Main category
- Speech
- Open weights
- No, available as a hosted service
- Last reviewed
- September 24, 2026
Fit
Where it fits and where it does not
Good at
-
Transcribing calls, meetings and voice notes.
-
Streaming transcription.
-
Keyword and language hints for names and terms.
-
Feeding text into summaries and follow-ups.
-
Replacing Whisper in existing systems.
Not the right choice for
-
Generating speech, which needs a text-to-speech model.
-
Uses that need the audio kept only on your own servers.
-
Recording people without their consent.
-
Cases that need a guaranteed perfect transcript without review.
Use cases
Business use cases we would use it for
Meeting notes
Call analysis
Voice notes
Our notes
When we would choose it
OpenAI announced gpt-transcribe in August 2026 as the current speech-to-text model. It takes audio, plus optional text hints, and returns text, with support for streaming and for keyword or language hints. It is priced per minute of audio. For live conversations, OpenAI lists a separate real-time transcription model.
The older models, including whisper-1 and the GPT-4o transcribe models, are scheduled to retire on February 26, 2027. If your system uses Whisper today, there is time to test gpt-transcribe on real recordings and switch in a planned way.
Transcription is rarely the goal on its own. The value comes from what happens next: a summary, a list of actions, an updated CRM record or a searchable archive of calls. We usually pair speech-to-text with a language model such as Claude Sonnet or GPT-6 Sol for that step.
For comparison, Deepgram offers speech-to-text with a focus on real-time voice agents. Test both on your own audio before choosing. See voice AI.
Before rolling it out, we would run a short pilot: a week of real recordings, reviewed by the people who know the calls best. Count missed names, wrong numbers and misheard terms. Those are the errors that cause problems in summaries and records later, and keyword hints or a small glossary often fix most of them.
Before you commit
Things to check before you commit
-
Migration dates
whisper-1 and the GPT-4o transcribe models retire on February 26, 2027. Plan the move.
-
Your own audio
Test with real recordings, accents and background noise.
-
Consent and data
Get consent to record, and confirm data terms for audio.
-
Real time
For live use, OpenAI lists a separate real-time transcription model.
Alternatives
Models to compare it with
Deepgram Nova-3 and Flux
Deepgram's speech-to-text models: Nova-3 for general transcription in 60+ languages, and Flux for voice agents with built-in end-of-turn detection.
GPT-4o mini TTS
OpenAI's current text-to-speech model for turning text into natural spoken audio, at a low price level.
ElevenLabs Eleven v3
ElevenLabs text-to-speech: the expressive Eleven v3 in 70+ languages, a real-time conversational version, and the low-latency Flash models, with voice cloning.
Keep exploring
Solutions, services and guides
Related services
View all related services- Voice AI Speech to text, call summaries and voice assistants that take bookings or answer routine calls.
- AI workflows Step-by-step automations where AI handles the reading, sorting and drafting inside a process you control.
- AI Product Development AI agents, knowledge assistants, copilots and document automation built into the way your team already works.
- Cross-platform apps One codebase for iOS and Android with React Native or Flutter, so both apps ship together.
- AI agents AI that takes actions in your systems, such as qualifying leads or processing requests, with people checking the results.
Solutions
View all solutions- Meeting notes automation Transcribe meetings and calls, summarize decisions and push action items into your CRM or project tool.
- AI support agent An assistant that answers routine questions from your own content, checks orders and hands anything else to a person.
- AI lead qualification Score, research and route every new inquiry so your team talks to the best leads first.
- Feedback analysis Read every review, survey and ticket, group them by theme and sentiment, and show what customers keep asking for.
- Scheduling automation Let customers book, change and confirm appointments themselves, by web, chat or phone, with reminders that cut no-shows.
- Email triage Sort a shared inbox by topic and urgency, pull out the key details and draft replies for a person to send.
Industries
View all industries- Hospitality and travel Booking sites, guest messaging, review analysis and multilingual content for hotels, tour operators and travel businesses.
- Home services Booking, dispatch, quotes, invoicing and reviews for plumbers, electricians, cleaners and other home service businesses.
- Recruiting and staffing Candidate screening assistants, ATS integrations, interview notes and onboarding automation for recruiters and staffing firms.
Guides and articles
View all guides and articles- What can AI do for a small business? Practical AI uses for small businesses, from inboxes and documents to customer support, with costs and first steps.
- How to build an AI workflow with MCP servers Plan, connect and test an AI workflow that uses MCP servers, from a single task to a reliable process.
- AI chatbot vs AI agent What separates a chatbot that answers from an agent that acts, and when you need each.
MCP servers
View all mcp servers- Asana Asana's official MCP server lets AI search work, read and create tasks and projects, add comments and post project status updates.
- ClickUp ClickUp's official MCP server lets AI search the workspace, read and create tasks, track time, create docs and send chat messages.
- Discord A community MCP server that lets AI read and send Discord messages, react, send direct messages and manage channels through a bot.
- Gmail Google's own Gmail MCP server lets AI search and read threads, manage labels and create drafts. It has no send tool.
- Google Calendar Google's own Calendar MCP server lets AI list calendars and events, create, update and delete events, respond to invites and suggest times.
- Slack Slack's own hosted MCP server lets AI search messages, read channels and threads, look up people, draft or send messages and create canvases.
Glossary terms
View all glossary terms- Natural language processing Natural language processing is the field of AI that deals with understanding and generating human language, in text or speech.
- AI agent An AI agent is software that uses a language model to plan steps, call tools and act toward a goal, instead of only answering one question.
- Artificial intelligence Artificial intelligence is the broad field of building software that performs tasks that normally need human judgment, such as understanding language or images.
- Chatbot A chatbot is software that holds a conversation with people through text or voice, answering questions or completing simple tasks.
- AI copilot An AI copilot is an assistant built into a tool people already use, which suggests, drafts and explains while the person stays in control.
- Automation Automation is using software to perform a task or process with little or no human effort each time it runs.
FAQ
Questions people ask us
Have a question that is not here? Ask us directly.
OpenAI lists whisper-1 and the GPT-4o transcribe models for retirement on February 26, 2027, replaced by gpt-transcribe.
Yes. For live conversations, OpenAI also lists a dedicated real-time transcription model.
It accepts keyword hints, which help with names and terms. Test with real recordings.