ChatGPT Audio Uploads: Files, Limits and Meeting Notes

ChatGPT audio uploads were announced on October 6, letting paid users attach a recording and ask for a transcript, summary, answers, meeting notes or a follow-up draft. OpenAI’s release notes make availability dependent on the workspace, region, client and model. The useful change is the recorded-audio input: start from an existing file, then check the generated text against that recording before sharing decisions or assigning work.

ChatGPT audio uploads: supported files and limits

OpenAI’s file and audio upload guide says audio uploads require a paid subscription, including Enterprise; Free is not supported. Accepted formats include WAV, MP3/MPEG, OGG/OGA, PCM, FLAC, AAC and M4A, plus audio-only WebM and MP4. A WebM or MP4 identified as video is not accepted as audio. Files must be valid, decodable audio and no larger than 512 MB.

For longer recordings, processing is best-effort and may use chunks when Data Analysis is available; very long files can time out. Transcription can miss words, and speaker identification may be wrong. The document’s general file quotas are not a separate guaranteed audio allowance.

If the attachment option is missing, check the selected account and workspace before trying another file. Our access guide explains the distinction between product access and model access. Having access to a model in another product does not establish that this upload feature is available in the current chat.

Start with a small recording and a narrow question

For a first trial, choose a recording you are permitted to upload and know well enough to review. A short, non-sensitive excerpt is easier to compare with its transcript than a full afternoon of meetings. Give it a descriptive filename and keep the original unchanged so that later corrections have a stable reference.

Attach the file in the intended chat and request a transcript of that excerpt first. Ask the model to mark unclear passages rather than silently repair them. Then listen to the parts that contain names, quantities, dates or commitments. These are the details a fluent summary can make look more certain than the recording supports.

Do not ask for transcription, polished minutes and an email in one first pass. Separate outputs make it easier to find where an error entered the workflow. Once the transcript has been checked, request a summary from the corrected text. Save corrections with the transcript rather than relying on a later summary to replace the source.

Turn a transcript into reviewable meeting notes

Here is an original, untested prompt pattern for evaluating the new input route. It is not an OpenAI demonstration or a claim that a particular recording has been processed successfully:

Work from the attached recording. First draft a transcript and mark unclear words or uncertain speakers. Stop for my corrections. After I provide the checked transcript, keep proposals separate from agreed decisions. For each possible action, list the stated owner, deadline and a short supporting phrase. Use “not assigned” or “not stated” when those details are absent. Put unresolved questions in a separate section. Do not send a message or treat a suggestion as approval.

Suppose a synthetic meeting includes “we could ship on Friday,” followed by “let us confirm after testing.” The reviewer should look for a proposal and an unresolved test dependency, not an approved Friday release. If a later speaker says “I will check the export,” but their identity is uncertain, leave the owner unresolved until someone checks that passage. This example supplies a review criterion, not an observed model answer.

Our meeting-to-actions prompt starts from notes and asks for accountable follow-up. Use it after the transcript has been corrected; it does not itself verify the audio. The meeting action ledger provides a separate workflow for retaining decisions, proposals and missing assignments. Existing examples on those pages are text-based records, not tests of this newly released feature.

Before producing a follow-up message, inspect every action row. Confirm that the owner was actually named, that the deadline belongs to that action and that the quoted phrase supports a commitment. Send only the reviewed version through your normal communication process. A concise draft is useful only if recipients can distinguish agreed work from a question awaiting an answer.

Check account data controls before uploading

OpenAI’s model-improvement policy describes general account rules, not a special policy established here for uploaded audio. Consumer content may be used to improve models; the “Improve the model for everyone” setting controls new conversations. Business, Enterprise, Edu and API content is not used for training by default. Feedback can include the associated conversation even after an opt-out.

For a workplace recording, check the organization’s approved account and handling rules before attaching it. Permission to attend a meeting is not automatically permission to upload its recording to a different service. Decide which recording is needed, who may review the transcript and where the final notes should live. These are workflow decisions, not additional product guarantees.

Keep transcript corrections and deletion steps separate

OpenAI’s chat and file retention guide says archiving is not deletion. Deleted chats are removed from view immediately and scheduled for permanent deletion within 30 days, subject to stated exceptions. Files saved in Library are managed separately: deleting a conversation does not delete a Library copy. The upload announcement does not establish that every audio attachment is placed there.

After a trial, check which files and conversations were actually saved in the account. Delete the intended items separately under the applicable workspace policy. Retain a correction record only where your organization permits it. For the next test, reuse the same narrow review question and compare errors on the same excerpt; that gives a more useful result than judging the polish of two unrelated summaries.