Descript treats a transcript as an editing interface for audio, with optional restoration and AI actions. That makes removing repeated material faster to navigate, but a correct-looking transcript does not guarantee that every audible edit is sensible.
Editing words really edits media
Descript documentation states that deleting, moving and pasting words within its script changes the underlying media composition. Its edits are non-destructive, so removed sections can be restored. A crucial distinction is between correcting a recognition mistake and deleting media: correction updates transcript text and alignment without changing what someone actually said. Treat those operations as separate editorial decisions to avoid accidentally altering quotations.
Studio Sound versus editorial judgment
Studio Sound appears among Descript’s sound-improvement AI tools. It can be useful for rough narration and remote interview recordings, but cleanup should be applied after the project team confirms which noise is part of the story. Repeated phrases, breaths and silence may be meaningful in testimony. Selectively remove filler words only after listening to the transition. Preserve a full-length untouched master and the export version with exact segment references.
AI speakers and conversion behavior
The product distinguishes generated AI speech clips from standard audio layers. Its help center explains that converting AI speech to an audio layer enables certain trim, fade and word-boundary editing operations, but the text stops controlling regeneration after conversion. If revisions are expected, retain the original script and the pre-conversion version. Consent for synthetic voices and ownership of any external uploaded media still have to be documented independently of editing features.
Credits and seats are separate dimensions
Descript documents Media minutes and AI Credits as distinct usage currencies on current plans, and that editor seats can contribute to shared pools. Uploading a session and invoking Studio Sound need not consume the same meter. Its credit-cost page is a changing operational source, so this article does not freeze a specific number of credits. Budget by project: inputs, AI cleanup passes, retries, generated narration and exports; reconcile with AI 10 snapshots at purchase time.
An editorial audit example
For a three-speaker documentary interview, import clean track copies, verify names and technical terms, label speakers and correct transcript errors. Create a story edit by moving blocks, restore enough gaps for natural cadence, then use Studio Sound sparingly only on the worst sections. Have a separate reviewer compare the exported cuts against the source and log all reconstructed speech. Where the transcript is uncertain, use an annotation rather than inventing the missing words.
Pricing, permissions and date scope
All changing statements are scoped to documentation consulted by 25 October 2026. Model and account support, rights, language coverage, endpoint configuration and regional access can change. This article does not assert first-hand testing, an independent benchmark, present-day tariff, guaranteed authorship or unconditional commercial rights. Recheck the exact subscription, license and supported region before production.