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AI Video Editing 4.4/5 — our rating

Descript

Edit video and audio by editing the transcript text. Includes filler-word removal and voice cloning for retakes.

Descript is worth it if you produce podcasts or spoken-word video regularly and want to edit faster than a traditional timeline allows. Its differentiator is simple to explain but hard to match: instead of cutting on a timeline, you edit the transcript text directly, and the video or audio cuts and reorders itself. Saying “delete this paragraph” is literally deleting that text.

It also automatically detects and removes filler words (“um,” “like,” long silences), something that takes a huge amount of time in manual editing. The voice regeneration feature (known for years as Overdub) lets you fix a recording mistake by typing the correction into the text, without having to re-record or ask a guest to repeat a line.

In practice

This translates into very concrete workflows for anyone editing spoken content regularly: deleting twenty minutes of silences and filler words from a one-hour recording in a single click, fixing a mispronounced name in a podcast by editing the text instead of re-recording the whole episode, generating short clips for social media from a long video with AI’s help, or translating and dubbing an episode into another language without hiring new voice actors. For someone recording weekly, that time savings compounds fast.

It’s also useful for remote recordings: multiple guests can record themselves from their own microphone in studio quality, and Descript syncs everything automatically, which matters for podcasts with guests who don’t share a physical location. And since the transcript is editable text from the very first step, it’s also handy for pulling exact quotes or turning an episode into a blog post without transcribing anything by hand.

Plans and pricing (2026)

  • Free — 60 minutes of media per month, 100 one-time AI credits, unlimited projects, but no watermark-free export.
  • Hobbyist (USD 24/mo, or USD 16/mo billed annually) — 10 hours of media per month, 400 monthly AI credits, watermark-free 1080p export, and basic access to the AI co-editor (Underlord).
  • Creator (USD 35/mo, or USD 24/mo annually) — the most popular plan: 30 hours of media, 800 AI credits, 4K export, full access to the AI co-editor with 20+ tools, video generation, unlimited royalty-free audio and image stock, and up to 3 team members.
  • Business (USD 65/mo, or USD 50/mo annually) — 40 hours of media, 1,500 AI credits, Brand Studio for team-wide sharing, translation and dubbing into 30+ languages, custom avatars from a photo or text, priority support, and up to 5 team members.
  • Enterprise (custom pricing) — customizable media hours and credits, advanced security (SSO, SCIM), and a dedicated account manager.

For this review we tested transcript-based editing, automatic filler-word and silence removal, and voice regeneration on a real recording, on the Creator plan.

What to know before choosing

The most real limitation is twofold: for very specific visual effects (advanced compositing, fine color correction), a traditional video editor still gives more control than Descript. And AI credits, which cover transcription and basic audio cleanup comfortably, run out faster if you regularly add heavier features like translation, dubbing or avatar generation. Automatic transcription accuracy also drops noticeably with strong accents or poor-quality audio, so it’s worth reviewing it before trusting that the text-based cut will come out perfect on the first pass.

It’s worth it for podcasters and video creators who produce spoken content regularly, where editing speed matters as much as the final result. If your editing is mostly visual (motion graphics, complex effects) rather than spoken, a traditional editor probably serves you better as your main tool.

Pros

  • Editing the text edits the video: much faster than a traditional timeline
  • Automatically removes filler words and silences
  • Voice regeneration (formerly Overdub) lets you fix mistakes without re-recording

Cons

  • For very fine visual effects editing, a traditional editor gives more control
  • AI credits run out quickly if you use several advanced features (translation, avatars) every month