How to turn audio into text: a practical guide

Repodeo AI turns audio into editable, publishable text with real timing data. Turning audio into text sounds like a single task, but the useful result is more than a page of words. A publishable podcast transcript needs accurate names, readable paragraphs, sensible speaker labels and timings that connect the text to the recording. It also needs a review step. Automatic transcription can remove hours of typing, but it does not remove the creator's responsibility to check what will be published.

The questions below are the ones worth answering before you upload a recording. They cover what affects accuracy, how long episodes are handled, what timestamps mean, and how the finished transcript can support accessibility, show notes and episode pages.

What audio and video files can be transcribed?

Repodeo accepts uploaded MP3, WAV and M4A audio, plus MP4, MOV and WEBM video. The spoken track is what matters: a video podcast can be transcribed in the same workflow as an audio episode. URL-based ingestion is not currently available, so the recording itself needs to be uploaded.

File type is rarely the main quality issue. A compressed MP3 recorded through a good microphone can produce a better transcript than a large WAV captured in a noisy room. Clear voices, stable volume and limited overlap matter more than choosing the biggest file.

How accurate is audio-to-text transcription?

There is no honest universal accuracy percentage. Results change with microphone quality, room echo, background noise, accents, crosstalk, speaking pace and specialist vocabulary. A clean one-person recording is easier than a remote roundtable where several people speak at once. Names, acronyms and product terms are common failure points even in otherwise clear audio.

Context helps. Repodeo uses the episode title, guest name and relevant Brand Kit keywords as guidance during transcription. That gives unusual names and recurring terms a better chance of being recognised correctly. It is still guidance rather than a guarantee, which is why the transcript remains editable.

Can AI identify different speakers?

Speaker-aware formatting works best when voices are distinct and people take turns. Similar voices, interruptions and cross-talk can make labels less reliable. Treat automatic labels as a strong first pass: scan each change of speaker, correct any swaps, and use consistent names before publishing or generating quotes from the conversation.

Are timestamps generated from the real recording?

They should be. Repodeo stores segment timings returned by the transcription process, then uses them in the synced transcript player. Those same real timings can support chapter markers and timestamped show notes. They are not guessed from word counts or distributed evenly across the episode.

Timing and edited text need slightly different treatment. If you substantially rewrite a transcript, the original word-to-audio alignment no longer matches perfectly. Repodeo keeps the edited reading view accurate to your saved text while reserving segment sync for text that still corresponds to the timed machine transcript.

How are long podcast episodes processed?

Long recordings are divided into smaller audio segments in the browser, uploaded, processed with bounded concurrency, and stitched back together in order. Each segment retains its starting offset, so a timestamp from the second hour still points to the correct place in the complete recording. If one segment fails, it can be retried without starting the whole episode again.

Episode length is limited by plan rather than an arbitrary megabyte wall: Free supports up to 30 minutes per episode, Creator 90 minutes, Pro 3 hours and Agency 4 hours. Monthly transcription allowances also apply, so check the duration shown before processing a long recording.

How can I improve transcription quality before uploading?

• Record each person close to a microphone and avoid music under speech.
• Ask guests to avoid speaking over one another where possible.
• Enter the episode title and guest name accurately before transcription.
• Add recurring names, products and specialist terms to your Brand Kit.
• Review names, numbers and quotations before publishing generated content.

Can I edit and clean the finished transcript?

Yes. The raw transcript is a source document, not a locked result. You can edit it directly and choose between fuller verbatim wording and a cleaner reading style. Intelligent verbatim removes distracting filler and repetition while preserving meaning; a clean read goes further for publication; full verbatim retains more of what was spoken.

Review the transcript before using it to generate an article, newsletter or quote. Downstream content inherits errors in the source. Correcting one guest name in the transcript is faster and safer than finding the same error across ten generated assets later.

Is podcast transcription private?

Uploaded recordings and transcripts are protected by account and workspace permissions. Only people with access to the relevant workspace can work with private episode content. Public episode pages are a separate publishing choice; creating a transcript does not by itself make the recording or text public.

What can I do with the text afterwards?

You can copy or download the transcript, include it in an episode content pack, and use it as the source for show notes, articles, social posts, newsletters and SEO metadata. On a hosted episode page, readable transcript text also gives people who cannot or prefer not to listen access to the conversation.

A transcript can help search discovery because it exposes the specific language used in the episode, including long-tail questions and detailed answers. It is not a ranking shortcut. The text still needs clear formatting, an accurate page title, a useful summary and links that help visitors understand where to go next.

A simple review checklist

1. Check the guest's name, company, products, places and technical terms.
2. Confirm speaker labels at every major handover or interruption.
3. Listen to any quotation you plan to publish or place on a graphic.
4. Test several transcript timestamps against the player.
5. Break long passages into readable paragraphs before publishing.
6. Keep the transcript private until the episode and supporting content are approved.

The best transcript is not the one produced fastest. It is the one a listener can read, trust and use to find the exact moment that matters.