How to Turn an Interview Transcript Into Narrated Audio
Yes. Paste the interview text into a project, give the interviewer and each guest their own voice, and generate. AudioProducer.ai narrates from text, so the transcript is your source file, not the recording it came from.
A recorded interview is only useful to the people who sit through the whole recording, and almost nobody does. The transcript fixes that for reading, but a wall of "Q:" and "A:" is still work to get through. Turning it into narrated audio gives you something a reader can finish on a commute, a version an archive can keep, and a format that treats the conversation as a conversation rather than a document.
Start from the transcript, not the recording
AudioProducer.ai works from text. It does not transcribe audio or video, so the first thing to understand is that your recording is raw material for a transcript, not something you upload directly. Get the transcript however you already do, whether that is a captioning tool, a transcription service, or notes you typed while listening back, then bring that text in. If you recorded the interview yourself, you probably already have a transcript from the tool that captured it.
Once the words are text, paste them into a blank project or import them as chapters. From there the work is editorial, not technical.
Clean the transcript before you cast it
Raw interview transcripts carry everything the microphone heard: filler words, false starts, half-finished thoughts, crosstalk, and the "um, yeah, so" that fills the space while someone decides what to say. That is fine on the page and rough in the ear. Spoken speech read back by a narrator exposes every stumble, because the listener no longer has the original delivery to carry it.
Edit the transcript as if it were a draft. Cut the throat-clearing, tighten the questions, and keep the parts where the answer actually says something. Leave the speaker labels in so you know who says what when you assign voices. You are not rewriting what people meant, only removing the noise between the meaning. The same cleanup discipline applies when you turn a podcast into an audiobook, where a spoken transcript has to become readable narration first.
One voice per speaker
An interview has at least two people in it, and that is exactly where multi-voice earns its place. Assign one voice to the interviewer and a distinct voice to each guest, and the audio reads like the exchange it was instead of one narrator reading both halves of a Q and A. The library has well over a hundred voices across a range of accents, so you can match a tone to each speaker or at least keep them clearly apart.
This is the same multi-speaker approach behind a multi-speaker AI podcast: different voices make a dialogue easy to follow without anyone announcing who is talking. For a two-person interview, two voices is usually enough; for a panel or a group oral-history session, give each participant their own.
When a single narrator is the better call
Not every interview wants to be re-performed. Oral-history work and long-form journalism are often edited into a single narrated piece, where one reader carries the whole account and quotes are woven in rather than acted out. If your goal is an archival reading or a produced segment rather than a reenactment of the room, a single narrator with a steady voice can be the cleaner choice. The transcript still gets the same cleanup; only the casting changes.
A good rule: if the back-and-forth is the point, use a voice per speaker. If the content is the point and the conversation was just how you gathered it, one narrator usually serves it better.
Long interviews work as chapters
A single long interview rarely wants to be one unbroken file. Split it into chapters by topic or by question block, the same way you would structure any project, and each section becomes its own listenable unit. A multi-part oral-history project can run as a series, one installment per session, so listeners can pick up where they left off. Thinking in segments is the same habit that keeps a conference or webinar recap from sprawling into something nobody finishes.
Turn your first transcript into audio
If you have an interview transcript sitting in a doc, the fastest way to see what it sounds like is to paste a few minutes of it into a project, assign a voice to each speaker, and generate. The Free plan gives you words every month at no cost and no card, which is enough to narrate a short segment and decide whether the full interview is worth producing. Start for free, or browse all our articles for more on turning written work into audio.
Frequently asked questions
- Does AudioProducer.ai transcribe my interview recording?
- No. It narrates from text, not from audio or video. Bring the transcript from whatever captioning or transcription tool you already use, then paste that text into a project.
- Can the interviewer and each guest have a different voice?
- Yes. Assign a separate voice to each speaker so the audio reads like the exchange it was instead of one narrator reading both sides. There are well over a hundred voices to choose from.
- Should I clean up the transcript before generating?
- Yes. Cut filler words, false starts, and crosstalk so the spoken text reads smoothly when narrated, and keep the speaker labels so you know who to cast.
- Is this good for oral-history or archival work?
- It works for both. Use a voice per speaker to re-create the conversation, or a single narrator when you want an edited archival reading rather than a reenactment.