9 Best AI Podcast Editing Software in 2026

Podcasts have become part of everyday media habits, and video versions are a growing part of that. Plenty of hosts now publish on YouTube and social platforms as well as audio apps.

Recording an episode is the enjoyable part. Editing is the hard part. Trimming dead air, cutting "ums," fixing uneven levels, syncing cameras, and cutting clips for social can keep an episode waiting days before it goes live.

AI podcast editing software has made that work much easier, since it can transcribe, clean up, and cut a recording for you. The harder question is which tool is right for you. Every vendor claims to be the best, and their pricing rarely lines up, since some charge by media hour and others by credit or processing minute.

We picked the nine best AI podcast video editing tools and show which kind of podcast suits each one. It is a feature and pricing comparison based on each vendor's public pages, not hands-on testing, so try your top picks on one of your own episodes before committing.

Quick answer:

Descript suits hosts who want to edit audio and video from one transcript. Riverside suits remote interviews, Opus Clip short-form clips, Auphonic consistent audio levels, and CoAnimator animated explainers and promos built by a coding agent. Details, drawbacks, and pricing for every tool follow below.

What an AI podcast editor actually does

An AI podcast editor does four jobs, and very few tools do all four well. Know which one eats most of your hours, because a clip tool won't help if cleanup is your real bottleneck.

1. Transcription: Speech recognition produces a timed transcript, usually with speaker labels. Text-based editing and captions depend on its accuracy.

2. Text-based editing: Deleting words in the transcript deletes the matching audio and video. Filler-word and silence removal usually run here.

3. Audio repair and leveling: Noise reduction, speech enhancement, and loudness normalization.

4. Repurposing: The tool finds candidate moments, reframes to 9:16, and adds captions.

A transcript you can correct matters most. Fix a guest's name once and it stays right in every caption and clip that follows. Each tool below covers some or all of these four jobs, so keep them in mind as you read.

How We Evaluated AI Podcast Editors

Every tool was assessed against the same three questions. What does it do well, where does it limit you, and which kind of show does it fit best? We answered them from each vendor's feature documentation and public pricing page, mapping each tool to the four jobs above and to the kind of show it suits.

We have not run hands-on tests or analyzed user reviews for this guide, so the strengths and drawbacks come from published features and plans, not from judging output quality. Prices and limits were checked on 19 October 2026, are in US dollars, and may differ by tax and local currency. Where a vendor offers annual billing, the monthly figure shown is the annual-billing rate. We recheck them every quarter, but plans change often, so confirm before you buy. A 10-minute test on your own audio, described in the checks below, is the step that settles quality.

Best AI Podcast Editing Tools in 2026

Nine tools follow, each described the same way, with plan details at the end of each entry as of 19 October 2026.

1. Descript

Descript is an AI-powered video and podcast editor that works like a document. You record or import audio and video, and Descript generates a transcript that becomes the editing surface. Delete a word or sentence and the matching media disappears from the timeline. It combines recording, editing, and publishing in one workspace, and it is built for creators who would rather edit by reading than by scrubbing waveforms.

Core capabilities

• Transcript-based editing: Deleting or moving text edits the matching audio and video.

• Filler word and pause removal: Finds ums, repeated words, and long silences and removes them in bulk, with each cut open to review.

• Studio Sound: Reduces background noise and echo on recordings made in untreated rooms.

• Underlord AI assistant: Applies edits from plain-language instructions, such as removing retakes or drafting show notes.

• Multitrack and multicam: Keeps speaker tracks and camera angles editable in one project.

• Captions and clips: Generates captions and exports vertical clips from the same project.

Drawbacks

• Metered media hours: Each plan caps media hours per month, so a weekly long-form show needs a plan check.

• AI credits on top: AI features draw on separate credits, so heavy use can run out before media hours do.

• Basic finishing tools: Color work, motion graphics, and detailed audio mixing are weaker than in a dedicated editor.

Use case

Solo hosts who cut their own weekly video podcast get the most from Descript, since transcript editing, audio cleanup, and captioned clips live in one app. Episodes that need heavy visual finishing will outgrow it.

Pricing plans

2. CoAnimator

CoAnimator is an agentic animation studio where AI coding agents such as Claude Code, Codex, or Gemini build, edit, and render videos, demos, motion graphics, and tutorials. You describe the video in plain language and the agent writes the animation, timeline, and narration. Projects live as local files, much like code, so an update is an edit rather than a re-shoot. It suits animated explainers and promos, not edits of the recording.

Core capabilities

• Agentic video creation: Works with the coding agents you already use, turning a plain-language brief into animation, timeline, and narration.

• Video-as-code projects: The whole video sits as local project files, so changing a scene is an edit.

• Live stage preview: A local stage reloads as the agent changes scenes, so you can redirect as it works.

• Built-in templates: Ready starting points to quickly begin any type of video you want for your product.

• Command line rendering: The coa tool renders from scripts or pipelines, so batches of videos can run automatically.

• Demos and explainers: Produces animated walkthroughs, motion graphics, and tutorials with narration.

Drawbacks

• No built-in analytics: Tracking who watched a video means building that separately.

• Extra tools for customization: Adding more to the final video may require plugins or external tools.

Use case

Hosts who want an animated explainer or episode promo built from a written brief can direct CoAnimator through a coding agent. It will not cut or clean the recording itself.

Pricing plans

3. Riverside

Riverside is a studio-quality recording and editing platform for podcasts and video. Instead of capturing the call itself, it records each participant locally on their own device, which reduces connection-related quality loss. The platform advertises up to 4K video and 48 kHz audio. Recording and post-production happen in one account, so interview shows with remote guests can record, edit, and clip without leaving it.

Core capabilities

• Local recording with progressive upload: Files upload during the session, which reduces the risk of lost recordings.

• Separate tracks: Each speaker arrives as an individual audio and video track for more precise cleanup and layout changes.

• Text-based editor: Cuts and captions are made through the transcript, so rough edits need no separate app.

• Magic Clips: Proposes captioned vertical clips from the full recording.

• Magic Audio: Reduces noise and levels voices on weak guest audio.

• Live streaming and producer tools: Streams to multiple platforms and lets a producer manage guests during recording.

Drawbacks

• Best only when you record in Riverside: Device performance, permissions, storage, and upload success still matter, and in-person shows gain less.

• Upload dependence: Editing waits for each guest's upload, which slows turnaround on poor connections.

• Limited finishing: Complex timelines and advanced finishing are weaker than in a dedicated editor.

Use case

Interview shows with guests in other cities fit Riverside, which delivers clean separate tracks, a first-pass edit, and clips from one session. Shows recorded in person on their own gear gain little.

Pricing plans

4. Opus Clip

Opus Clip is an AI video repurposing tool that turns long videos into short clips for social platforms. You upload a recording or paste a link, and the AI finds moments, reframes them to vertical, and adds animated captions. It is aimed at creators and teams that already have long-form content and want more short-form output without manual editing. It is built around turning a finished episode into clips.

Core capabilities

• Ranked moment detection: Surfaces candidate clips with a predicted-performance score, so a long episode becomes a shortlist.

• Prompt-based clipping: Lets you describe the moment you want, such as a topic, instead of relying on automatic picks.

• Auto-reframing and captions: Converts 16:9 to 9:16, keeps the active speaker centered, and adds editable animated captions.

• Text and timeline editing: Paid tiers add transcript and timeline editing, plus filler and silence removal.

• Speech enhancement: Cleans up weak audio on the Pro tier.

• Brand templates: Saves fonts, colors, and caption styles for consistent clips.

Drawbacks

• Built for derivative clips: It suits short pieces, not careful finishing of a complete long-form episode.

• Automated selection: The predicted-performance score estimates attention, so every pick needs an editor's review.

Use case

Shows that already publish full episodes can turn each one into a batch of captioned vertical clips for Shorts, Reels, and TikTok with Opus Clip. Every pick still needs a review before posting.

Pricing plans

5. Vizard

Vizard is an AI video editing tool that turns long videos into short, shareable clips. You upload a recording or link, and it proposes clips with reframing and captions. A transcript view lets you adjust each clip by editing text rather than dragging a timeline. It targets podcasters, educators, and marketers who repurpose long recordings, and it adds team features for review and brand consistency.

Core capabilities

• Clip suggestions: Scans a long recording and returns candidate clips with titles, so repurposing starts from a draft.

• Transcript-based trimming: Change a clip's start, end, and content by editing the text.

• Vertical reframing: Converts widescreen footage to 9:16 with speaker tracking for interviews and talking heads.

• Auto captions: Generates editable captions with style options for each clip.

• Brand kit: Saves fonts, colors, and logo placement so clips from different episodes match.

• Team workspace: Shared projects let one person draft clips and another review them before export.

Drawbacks

• Clips focus: Built for short clips, not for finishing or cleaning a full episode.

• Credit-based usage: One credit equals one uploaded minute, so long recordings use credits quickly.

• No recording or hosting: It starts from a finished file, so recording and publishing need other tools.

Use case

Teams repurposing long recordings can set each clip's exact start and end through the transcript in Vizard. It works alongside a main editor, since it does not finish the full episode.

Pricing plans

6. Adobe Podcast

Adobe Podcast is Adobe's AI-powered audio tool for recording, editing, and enhancing spoken audio. Its best-known feature, Enhance Speech, takes a recording and reconstructs the voice to sound closer to studio quality. It is designed for podcasters and creators who do not have a treated recording space, and it works in the browser, so there is nothing to install before you process a file.

Core capabilities

• Enhance Speech: Reduces noise, echo, and reverb and rebuilds the voice to sound clearer on laptop and phone recordings.

• Per-file processing: You process only the weak recording and leave clean tracks untouched.

• Video support on Premium: Enhance Speech accepts video files on the paid tier.

• Longer files on Premium: The paid tier allows files of up to two hours and four hours of processing a day.

• Browser Studio: Records and edits audio through a transcript.

• Mic Check: Tests your microphone and room before recording and suggests adjustments.

Drawbacks

• Best used on weak files: Clean recordings gain little, and heavy processing can change the natural sound of a voice.

• Not a full video editor: Premium accepts video files in Enhance Speech, but it is not a multicamera editor.

Use case

A single guest who sounds distant or echoey while everyone else sounds fine is the ideal case for Adobe Podcast. Run only that file through Enhance Speech, then mix it back in with the clean tracks.

Pricing plans

7. Auphonic

Auphonic is an automatic audio post-production web service. You upload a recording, choose settings or a preset, and Auphonic analyzes and processes the audio to broadcast and podcast standards. It treats each speaker track of a multitrack production separately before mixing. It is aimed at podcasters, radio producers, and teams that want consistent audio without manual mastering, and it saves settings as presets for repeat use.

Core capabilities

• Adaptive leveler: Balances volume between speakers and between loud and quiet passages within an episode.

• Loudness normalization: Targets broadcast and podcast standards so episodes match what listening apps expect.

• Noise and hum reduction: Reduces background noise, hum, and reverb with adjustable strength.

• Filler and silence cutting: Current plans list automatic cutting of fillers and silences.

• Multitrack processing: Processes each speaker separately and reduces microphone bleed before mixing.

• Audiograms and video workflows: Accepts video files and creates audiograms for sharing.

Drawbacks

• Not a visual timeline editor: It has no transcript-based cutting or multicam editing.

• Hour-based billing: After the free allowance, usage is billed by hours, and unused recurring hours do not stack.

• Learning curve: The best results need the right leveler and noise settings per show.

Use case

Weekly shows that want every episode at the same loudness without hand mastering can save one Auphonic preset and reuse it, even when different people edit.

Pricing plans

8. Cleanvoice

Cleanvoice is an AI audio editor that automatically removes filler sounds and other speech flaws. You upload a recording and it returns an edited file. It centers on automated cleanup and also covers transcription, summaries, and video podcast processing. It is aimed at podcasters, course creators, and editors who want repetitive cleanup done before creative editing, without opening a timeline for every um and pause.

Core capabilities

• Filler word removal: Detects ums, uhs, and similar fillers, with options for which types to cut.

• Stutter and mouth-sound removal: Cuts repeated words, false starts, lip smacks, and clicks.

• Dead-air trimming: Shortens long pauses by a set amount without cutting natural breaths.

• Noise removal and Studio Sound: Cleans up noisy recordings and improves voice quality.

• Transcription and summaries: Produces a transcript and a short summary of each episode.

• Video podcast support: Processes video podcast files, not only audio, in the same workflow.

Drawbacks

• Focused on cleanup: It does not restructure episodes or arrange multicam layouts.

• Review needed: Some pauses and fillers carry rhythm or meaning, so listen through the cuts before publishing.

Use case

Podcasters who like their current editor but lose hours to ums, stutters, and long pauses can run raw audio through Cleanvoice first, then do the creative edit.

Pricing plans

9. Async

Async is an AI-powered platform for recording, editing, and publishing podcasts and video in the browser, and it was formerly known as Podcastle. It aims to cover the full podcast workflow in one place, from remote recording through hosting. It targets beginners and small teams who want an affordable all-in-one studio instead of several separate tools. Plan names and allowances changed with the rebrand, so older guides may list outdated details.

Core capabilities

• Browser recording: Records remote guests on separate tracks with no software install for you or the guest.

• AI audio enhancement: Reduces noise and improves voice quality on weak recordings.

• Transcript-based editing: Cuts audio by editing text in the same workspace.

• Video recording and basic editing: Supports simple layouts and captions for video episodes.

• AI voice tools: Text-to-speech and voice features for narration and small corrections.

• Publishing: Distribution and hosting from the same account as recording and editing.

Drawbacks

• Breadth over depth: Each area is less deep than in a specialist tool.

• Changing allowances: Published limits have changed, so check the current plan page.

• Recent rebrand: Product and plan names changed with the move from Podcastle to Async, so older reviews may be out of date.

Use case

Small, audio-first shows with occasional video get recording, editing, and publishing in one affordable Async account. Confirm current plan limits before committing.

Pricing plans

AI Podcast Editing Software Compared

The table shows which tools overlap and which fill a single gap. "Plan-dependent" means the feature appears only on some tiers. "Not confirmed" means we could not confirm it from the vendor's pages.

Use the table to shortlist two or three tools, then run the checks below before you pay.

How to Choose AI Podcast Editing Software

Pick the tool that fixes your slowest step, then let a short test on your own audio make the final call. These four checks keep that decision grounded.

1. Work out cost per episode hour: Divide the annual price by the hours of episodes you publish each year. Four one-hour episodes a month is 48 hours a year. Descript Hobbyist at $192 a year then comes to $4.00 per episode hour, and Auphonic's $11 plan billed yearly ($132 a year) comes to $2.75, assuming each episode counts as one hour. The two do different jobs, so compare cost only between tools that solve the same problem.

2. Test your hardest 10 minutes, not your best: Pick a segment with crosstalk, a guest on a weak microphone, and a few proper names. Count transcript errors, note how many automatic cuts you had to undo, and check whether suggested clips start and end on a complete thought. Then compare the time spent with how long a manual edit would take.

3. Match the tool to what you already own: If you already edit in software you like, a single-job tool such as Cleanvoice or Auphonic can slot in before or after it. A full editor only pays off when it replaces more than one step you do by hand today.

4. Read the data terms before you upload: Unreleased episodes and guest conversations go to the vendor. Look for how long files are kept, whether uploads are used to train models, how to delete them, and whether your guest releases cover AI processing.

Once a tool passes all four, start with its free plan or trial on one real episode.

The Future of AI Podcast Editing

Expect more editing to happen during recording, and expect disclosure and consent rules to tighten. What follows is editorial outlook, not a forecast backed by testing. The tools above mostly work after recording ends, and we expect some of that work to move into the session itself, with live transcripts flagging dead air and repeated points while you record. Corrected transcripts will likely matter more as well, since chapters, show notes, and episode pages all come from the same text.

AI dubbing and voice processing are also spreading across video platforms, and disclosure and consent expectations are likely to tighten. Requirements vary by market and change quickly, so confirm what applies to you. Preparing costs nothing new. Record every speaker on a separate track, keep raw files and corrected transcripts, and ask guests for written permission before processing their voice. Tools will keep changing, and clean source files with a careful review habit carry over to whatever comes next.