Turn a shared meeting recording or uploaded call into organized, searchable text. Keep speaker labels and timestamps for review, then create summaries, action items, or exportable meeting records.
Works with public Zoom and Google Drive recording links, plus uploaded audio or video.
Direct answer
A reliable meeting transcript should preserve what was said, when it was said, and which voice likely said it, while making uncertainty visible. Whisper AI creates timestamped text from an uploaded recording or an accessible Zoom or Google Drive link and can use diarization to separate detected speakers. Those labels describe voice clusters, not verified identities, so a reviewer should rename speakers only when the recording makes attribution clear. The transcript can then support keyword search, summaries, questions, and draft action items, but an AI-generated follow-up is not the final meeting record. Confirm decisions, owners, dates, figures, and commitments against the relevant timestamps because a proposal may be rejected later in the conversation. Record and transcribe only with the consent and authority required for the meeting. Private recordings should be downloaded through an authorized account rather than exposed through passwords or temporary access tokens.
A meeting transcript records proposals, objections, revisions, and commitments in the same timeline. Search for decision language and deadlines, then replay the surrounding timestamp before turning a sentence into formal minutes or an action item.
Create an accountable recordDiarization can group passages by voice, making interviews and team calls easier to follow. Generated speaker labels are not an attendee directory, so reviewers should rename clear speakers and leave uncertain attribution marked as unknown.
Review speaker labelsUse meeting recordings only with the permission required by your organization and location. Do not paste passwords or private access tokens. Download restricted recordings through an authorized account, upload the file, and remove transcripts when their business purpose or retention period ends.
Use an authorized recordingPaste a public Zoom or Google Drive recording link when it is accessible without a login, or upload an audio or video file. This page processes completed recordings; it does not send a bot into a live meeting.
Add a completed meetingUse the finished transcript to prepare summaries, questions, risks, and proposed action items. Keep timestamps with important decisions so an attendee can confirm the owner, deadline, and final wording before the follow-up is distributed.
Prepare a verified follow-upSeparate participants and rename speakers after the task is complete.
Find dates, owners, objections, and questions without replaying the call.
Start from a public cloud recording or upload the original file.
Correct names and terminology before sharing formal meeting notes.
Generate summaries and analysis from the finished transcript when your plan allows.
Save meeting records as text, documents, subtitles, or structured JSON.
Paste an accessible meeting link or choose an audio or video file.
Set the spoken language and enable diarization for multi-person meetings.
Search, edit, summarize, and export the transcript for authorized participants.
A meeting record becomes useful when participants can trace decisions to the conversation, distinguish speakers, and understand what still requires confirmation.
Meeting recording laws and company policies vary by location and organization. Tell participants when recording or transcription is active and obtain the permission your context requires. Do not send access-controlled links, passwords, or private tokens to a public resolver. When a cloud recording is private, download it through the authorized account and use the protected upload workflow.
A transcript captures brainstorming, objections, tentative ideas, and final commitments in the same stream. Use the search and AI analysis tools to locate likely decisions, but verify the final wording, owner, and deadline in context. A confident-sounding sentence may have been rejected moments later, so a generated summary should never replace review by someone who attended the call.
Diarization separates voices without knowing the attendee list. Rename labels after listening to the opening introductions or another unambiguous passage. If several people share a room microphone, treat the label as uncertain. Accurate attribution matters for commitments, customer statements, interview consent, and performance discussions, and it is better to mark a speaker unknown than assign the wrong person.
Meeting transcripts are easier to search than recordings, which also makes sensitive details easier to discover. Store them only in the accounts and systems approved for the meeting, limit who can open exports, and remove copies after the retention period. Legal, medical, financial, employment, and security discussions should receive additional human review and handling appropriate to their risk.
Related resources
Upload private files, record in the browser, edit transcripts, and manage exports.
Transcription accuracy guidePrepare audio and review names, numbers, speakers, and specialist vocabulary.
Transcription pricingCheck current plan allowances, minute packs, and the free account allowance.
FAQ
No. This workflow processes an existing recording or public recording link; it does not join live calls.
Download the recording with the account that has access, then upload the local file. Do not share passwords or private meeting tokens.
Diarization separates speakers but cannot reliably know real names. Rename the generated speaker labels during review.
Paid AI tools can generate action items and summaries from a finished transcript. Verify owners, dates, and commitments before sending them.
Tasks are tied to the signed-in account. Use recordings only when you have permission and follow your organization's retention and privacy rules.
Add an authorized recording, identify speakers, and leave the review with searchable text and clear export options.
Start transcribing