About

About Audio Convert

A browser workspace that moves spoken media through AI transcription, human review, and a useful final format.

The problem Audio Convert is meant to solve

Important details often remain trapped inside meetings, interviews, classes, voice notes, and published media. Replaying those sources is slow, while a transcript makes specific words, decisions, and quotations easier to locate.

Audio Convert puts the practical steps on one page: select or capture the source, create the speech to text draft, inspect uncertain passages, and export the structure your next task needs.

What happens inside the workspace

The product follows a recording from intake to reviewed output while leaving the final judgment with you.

Supply the recording

Bring an audio or video file, record in the browser, or start from a supported media URL.

Set the language context

Use language detection or choose from the supported languages before transcription begins.

Inspect speakers and wording

Search the returned text, rename speaker labels, and correct names or terms against the recording.

Preserve the right structure

Choose transcript, document, subtitle, or structured-data exports according to the next workflow.

Where OpenAI Whisper fits

OpenAI Whisper provides the speech recognition layer used to draft the transcript. Audio Convert adds the browser intake, settings, review controls, speaker context, and export choices around that model output.

How we frame control of your media

Your recordings and transcripts remain your content. We do not sell recordings or use them to train models; the Privacy Policy explains the data collected to operate accounts, usage, devices, cookies, and payments.

Review the Privacy Policy

Workflows the product supports

Publishing workflows

Podcast and video teams can prepare transcript drafts, timed captions, show-note source material, and searchable episode text.

Research and learning workflows

Interviewers, researchers, and students can find evidence in recorded conversations or lessons and verify key passages.

Operational workflows

Teams can retain speaker-aware meeting records and turn discussions into material for decisions, follow-up, or documentation.

Principles behind product decisions

User-controlled review

The transcript is a draft you can check and correct before it becomes a record or publication.

Useful output over raw output

Formats and structure should serve the next task, whether that is reading, captions, editing, or processing.

Clear limits

Noise, overlap, unfamiliar terms, and consequential statements call for focused human verification.

Tell us where the workflow breaks

Contact support with the source type, chosen settings, expected result, and what you observed so the team can investigate.