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When you import audio or video, Descript automatically transcribes it. The transcript becomes the editing surface: deleting words removes the matching audio and video segments, rearranging paragraphs rearranges scenes, and highlighting text lets you apply effects or transitions to those specific moments. You can also switch to a traditional timeline view for frame-level precision when needed. This approach means anyone comfortable editing a text document can edit video and audio without learning complex timeline-based workflows.
Yes, Descript offers a free plan with 1 hour of transcription per month, basic text-based editing, screen recording, and limited AI features. Paid plans start at $16/month (billed annually) for the Hobbyist tier with 10 hours of transcription, the Pro plan at $24/month (annual) with 30 hours, and Business at $33/month per user (annual) with team collaboration tools. Enterprise pricing is custom. All paid plans remove watermarks and unlock additional AI features, transcription hours, and export options.
Descript uses advanced speech recognition models and is regarded as having strong transcription accuracy for English, though exact accuracy varies depending on audio quality, accents, and background noise. It supports transcription in 25 languages and offers AI-powered translation and dubbing in over 30 languages. For best results, clear audio with minimal background noise is recommended.
For dialogue-driven content like podcasts, interviews, tutorials, webinars, and social videos, Descript can fully replace traditional NLEs and is often significantly faster due to its text-based workflow. However, for cinematic work requiring advanced color grading, complex motion graphics, multi-layer compositing, or precision audio mixing, dedicated NLEs like Premiere Pro, Final Cut Pro, or DaVinci Resolve remain necessary. Many creators use Descript for rough cuts and fast-turnaround content while keeping a traditional NLE for high-production projects.
Descript requires consent and identity verification to clone a voice, and the feature is designed for creators fixing their own recordings rather than impersonating others. Even so, creators should ensure they only clone voices they have explicit permission to use and comply with local regulations regarding synthetic voice generation. The cloned voice works best for correcting short phrases and may sound less natural over longer passages.
Compare features, test the interface, and see if it fits your workflow.