OPENAI WHISPER.
SPEECH TO TEXT.

Extract spoken content from footage so you can correct the text and reuse it in a captioned edit.

Audio workflow

OpenAI Whisper

1For transcription in your editing workflow.

2Review timing and clarity

3Bring the result into your edit

Illustrative workflow

Work with OpenAI Whisper.

Use OpenAI Whisper for transcription. Choose from the audio options available in your workspace, supply the text or media requested, and review the credit estimate. Review the result alongside your video before export. Provider availability depends on the workspace setup.

Explore the workflow

What can you do with OpenAI Whisper?

Extract spoken content from footage so you can correct the text and reuse it in a captioned edit.

Speech-to-text transcription

Supply recorded speech to obtain text for review and caption preparation. Correct names and punctuation against the recording before using the transcript in an edit or repurposing its wording.

What to provide: Recorded speech or a video with a clear spoken track
Settings and limits: Usage is measured in seconds.
A useful starting point: Whisper is a transcription workflow, not text-to-speech. Background noise, music, and overlapping speakers can require more manual correction.

A practical transcription review

The recording is the input to transcription. The example below is a follow-up review instruction, not a text prompt used to generate speech.

Review instructionProofread this transcript using the source clip. Keep the speaker's wording and correct punctuation and the brand name.

What to look for in the result

Whisper is a transcription workflow, not text-to-speech. Background noise, music, and overlapping speakers can require more manual correction. Keep the original brief beside the output and review the details that matter for the audience. A visually or audibly interesting result still needs to fit the campaign.

How to use OpenAI Whisper in ZMEU

Prepare the brief and source material
Recorded speech or a video with a clear spoken track. Define the audience, destination, and the result you want to review. For client work, include the relevant product information and brand direction before you start.
Choose OpenAI Whisper and check the settings
Open the supported audio tools, choose OpenAI Whisper when it is available, and review the inputs and usage estimate. Usage is measured in seconds.
Transcribe, then check the recording
Compare the text with the recording. Correct brand names, punctuation, and any missing words. Where word timing is available, review it against the video before styling captions.
Bring the approved work into your campaign
Bring the result into the video editing workflow. Check pacing, captions, audio balance, and the final framing before exporting or preparing a scheduled post.

Use OpenAI Whisper in a brand or agency workflow

For an in-house marketing team

Use OpenAI Whisper for audio-to-text and caption preparation within a specific campaign brief. Share the approved product facts, tone, references, and channel requirements with the person preparing the request. Review the result with the team before it becomes a public asset.

Keep the approved direction alongside your brand kit and campaign notes, so the next variation starts with the same context.

For agencies managing several clients

Extract spoken content from footage so you can correct the text and reuse it in a captioned edit. Keep each client's brief and assets separate, and check the active brand context before using the agent. Record which references and settings produced the approved direction so another teammate can continue the work.

Use the planning and publishing workflow for reviewed content. For a tailored team setup or integration requirements, talk to the enterprise team.

When should you choose OpenAI Whisper?

Consider OpenAI Whisper when your task is audio-to-text and caption preparation. Extract spoken content from footage so you can correct the text and reuse it in a captioned edit. Compare supported inputs and the result you need before comparing model names.

Usage is measured in seconds. The finished workflow also includes review, editing, and delivery. Use the video editor to see where this model fits, or browse the other audio models and review plans and credits.

FREQUENTLY ASKED QUESTIONS

What can I do with OpenAI Whisper in ZMEU?

Extract spoken content from footage so you can correct the text and reuse it in a captioned edit. Supported workflows include speech-to-text transcription.

What should I prepare before using OpenAI Whisper?

Recorded speech or a video with a clear spoken track. Whisper is a transcription workflow, not text-to-speech. Background noise, music, and overlapping speakers can require more manual correction.

Which settings matter for OpenAI Whisper?

Usage is measured in seconds.

Does OpenAI Whisper generate a voiceover?

No. This entry covers transcription of recorded speech. Choose a supported text-to-speech model when you need to turn a script into narration.

Can an agency use OpenAI Whisper for different clients?

Prepare a separate brief for each client, select the correct brand context where available, and keep the assets in clearly named projects. Review each result against that client's product details, voice, and creative direction before sharing or publishing.

How much does OpenAI Whisper cost to use?

Review the usage estimate in the workspace before starting. Cost depends on the model, task, settings, and your plan. The Pricing page explains plan options; this guide does not promise a fixed per-generation price.