Skip to content
AI Tools · AI Video Editing

Top 5 AI Video Editing and Repurposing Tools of 2026: Descript vs Opus Clip vs the Rest

AI tools that take footage you already recorded, a podcast, webinar, or interview, and cut it down: Descript, Opus Clip, Kapwing, Riverside.fm, and Vizard.

By ·Aug 16, 2026·12 min·5 tools compared
AI Video EditingDescriptOpus ClipRepurposingPodcast ToolsShort-Form Video

Quick Comparison

PlatformBest ForSignature AI FeatureStarting PriceFree Tier
DescriptEditing the source recording itself via its transcriptTranscript-based editing: delete text, the video cuts automaticallyFree / $16/mo Hobbyist (annual)60 min/mo, 100 one-time AI credits
Opus ClipFinding and ranking the best short clips from long-form footageClipAnything + Virality ScoreFree / $15/mo Starter60 processing min/mo, watermarked, exports expire in 3 days
KapwingCollaborative browser-based editing plus repurposing for teamsSmart Cut silence removal + real-time multiplayer editingFree / $16/mo Pro (annual)10 credits/mo, 30 min export cap, 720p
Riverside.fmRecording remote interviews and podcasts with AI editing layered onMagic Clips + Magic Audio, on Riverside-native recordingsFree / $24/mo Pro (annual)2 hrs one-time multi-track recording
VizardBudget auto-clip generation from long-form videoAI clipping + auto-reframe to 9:16Free / ~$14.5/mo Creator (annual)60 credits/mo, 720p, 3-day storage

Descript

Best For
Editing the source recording itself via its transcript
Signature AI Feature
Transcript-based editing: delete text, the video cuts automatically
Starting Price
Free / $16/mo Hobbyist (annual)
Free Tier
60 min/mo, 100 one-time AI credits

Opus Clip

Best For
Finding and ranking the best short clips from long-form footage
Signature AI Feature
ClipAnything + Virality Score
Starting Price
Free / $15/mo Starter
Free Tier
60 processing min/mo, watermarked, exports expire in 3 days

Kapwing

Best For
Collaborative browser-based editing plus repurposing for teams
Signature AI Feature
Smart Cut silence removal + real-time multiplayer editing
Starting Price
Free / $16/mo Pro (annual)
Free Tier
10 credits/mo, 30 min export cap, 720p

Riverside.fm

Best For
Recording remote interviews and podcasts with AI editing layered on
Signature AI Feature
Magic Clips + Magic Audio, on Riverside-native recordings
Starting Price
Free / $24/mo Pro (annual)
Free Tier
2 hrs one-time multi-track recording

Vizard

Best For
Budget auto-clip generation from long-form video
Signature AI Feature
AI clipping + auto-reframe to 9:16
Starting Price
Free / ~$14.5/mo Creator (annual)
Free Tier
60 credits/mo, 720p, 3-day storage
1

Descript

Best Overall

Best for: Editing the actual long-form recording, podcast, webinar, or interview, by editing its transcript

Descript is the only tool in this group built primarily for editing the source recording itself, not just harvesting clips from it. Delete a sentence from the transcript and the corresponding audio and video disappear with it, which turns cutting a rambling tangent or a flubbed take into a text-editing task instead of a timeline-scrubbing one. It also does repurposing (Underlord can pull short clips from a long recording), but that side is a secondary feature bolted onto an editor, not the specialty. Pick Descript when someone still has to sit down and edit the full episode; pick Opus Clip or Vizard when the only job is harvesting clips from footage that is already final.

Pros

  • Transcript-based editing lets you delete a sentence from the text and the corresponding video/audio cut happens automatically, the single biggest time-save for podcast and webinar cleanup
  • Studio Sound strips room echo and background noise from audio recorded on a basic USB mic well enough to pass in a published episode
  • Remove Fillers strips 'um,' 'uh,' and dead air in one automated pass, real time saved even though it still needs a human scrub afterward
  • Overdub voice cloning can patch a single misspoken word or product name by typing the correction, without a re-record or a visible jump-cut
  • Underlord can surface short-clip candidates from inside the same project used for the full edit, useful when repurposing is a secondary task, not the main job

Cons

  • Media minutes are metered per plan (10 hrs/mo Hobbyist, 30 hrs/mo Creator, 40 hrs/mo Business); a weekly 90-minute podcast plus guest pre-interviews burns through the Hobbyist allotment in roughly a week
  • Transcription accuracy drops noticeably with crosstalk, overlapping speakers, or heavy accents, so every AI-driven cut needs a manual transcript proofread before publish, not a skim
  • Underlord's clip-finding is a bolt-on feature, not a dedicated virality-ranking engine, so short-form output out of Descript needs more manual curation than Opus Clip's ranked candidates
  • The transcript-editing paradigm has real learning curve for someone used to a timeline editor, slower first week than a pure clip-generator with almost no interface to learn
Honest Weakness: Descript's strength is editing the long-form asset itself, not spinning out a ranked stack of short clips with minimal input. A solo creator who just wants a 60-minute podcast turned into ten sorted vertical clips for TikTok, with no interest in touching the full episode, will get faster and more targeted results from Opus Clip or Vizard, both built around that one job. Descript makes the most sense for whoever is doing the actual edit of the source recording and wants short clips as a secondary output of that process, not the primary deliverable.

Transcript-Based Editing, In Practice

Descript transcribes a recording on upload and lets you cut the video by cutting the text. Delete a rambling aside from the transcript and the matching seconds of footage vanish, reorder two paragraphs and the video reorders with them. For a weekly podcast or a recorded webinar full of pauses, restarts, and tangents, this replaces scrubbing a timeline frame by frame with something closer to copy-editing a document, which is the actual time sink Descript is solving for, not clip generation.

Where Repurposing Fits (and Its Limits)

Underlord, Descript's AI assistant, can generate short clip candidates from a long recording without leaving the main edit, and Creator/Business plans add multilingual dubbing for repurposing across markets. It is genuinely useful for a team already living inside Descript for the main edit. It is not a substitute for Opus Clip's dedicated virality scoring: Underlord surfaces candidates, it does not rank them against a model trained specifically on what makes a clip perform, so the curation work still lands on a human.

Free (60 min/mo); Hobbyist $16/mo annual ($24 monthly); Creator $24/mo annual ($35 monthly); Business $50/mo annual ($65 monthly); Enterprise custom

Visit Descript
2

Opus Clip

Runner Up

Best for: Turning one long-form recording into multiple ranked, ready-to-post short clips

Opus Clip does one job and does it with more purpose-built machinery than any general editor here: it ingests a long recording, finds the segments most likely to perform as standalone clips, and ranks them with a Virality Score instead of handing back forty candidates to sort through manually. Automatic 9:16 reframing that tracks the speaker removes the manual crop-keyframing step that used to eat an afternoon per episode. The trade-off is that it processes and bills by source-video minute, not by clips produced, so a three-hour unedited podcast recording costs credits before a single usable clip exists.

Pros

  • ClipAnything analyzes both dialogue and visual/audio cues (laughter, on-screen action, tone shifts) to find candidate segments, not just clips built around keyword matches in the transcript
  • Virality Score ranks every candidate clip numerically, turning 'go find good moments' into a sortable queue instead of forty clips to scrub through by hand
  • Automatic 9:16 reframing tracks the active speaker or subject, so a webinar shot in 16:9 comes out watchable vertical without manual crop keyframing
  • Direct publishing to TikTok, YouTube Shorts, and Instagram from inside the tool removes a step from the repurposing workflow

Cons

  • Credits burn on ingest by source-video minute, not by clip output, so a 3-hour unedited podcast recording costs 180 credits before a single finished clip exists, and the $15/mo Starter plan's 150 credits do not even cover one long episode
  • Auto-selected clips still need a human pass: the model occasionally flags a technically high-energy moment that reads as a non-sequitur once it is pulled out of context
  • Free-plan exports are watermarked and expire after 3 days, which functionally forces a paid plan for any workflow beyond a one-off test
  • Deep editing controls (multi-track audio, fine timeline trims) are noticeably thinner than Descript or Kapwing, since the product is built around clip discovery, not general-purpose editing
Honest Weakness: Opus Clip is built to find and rank clips inside footage that already exists, not to edit the source recording itself. A creator who needs to actually clean up the full podcast episode, cut a bad tangent, fix a misspoken line, remove long dead air, will find Opus Clip's editing toolkit too thin for that job and should reach for Descript or Kapwing first, then feed the cleaned recording into Opus Clip for clip harvesting. Running both tools in sequence is common in real production workflows for exactly this reason.

ClipAnything and the Virality Score

ClipAnything scans the full source video for dialogue content plus non-verbal signals, laughter, gestures, on-screen action, to identify moments likely to hold attention as a standalone clip, then assigns each candidate a Virality Score. That score is the actual product: instead of a human watching a two-hour recording and guessing at good moments, the tool pre-sorts a shortlist by predicted performance, and the human's job shrinks to a review-and-approve pass on the top candidates rather than a full watch-through.

The Credit Math on Long-Form Podcasts

Credits are consumed on ingest, one credit per minute of source video processed, minimum one credit for anything under a minute, with partial minutes rounding down. That means a weekly two-hour podcast costs 120 credits to process regardless of how many usable clips come out of it, which exhausts the $15/mo Starter plan's 150 credits in a single episode. The only way to meaningfully lower the effective per-minute rate is the annual Pro commitment; a long-form creator on monthly Starter billing will hit the ceiling fast.

Free (60 processing min/mo, watermarked, 3-day export expiry); Starter $15/mo (150 credits); Pro $29/mo; Business custom

Visit Opus Clip
3

Kapwing

Best Value

Best for: Collaborative, browser-based editing and repurposing for a team that doesn't want to install anything

Kapwing is a general-purpose online video editor with repurposing tools built in, not a dedicated clip-finder, and that positioning is its actual advantage: a marketing team can subtitle, trim, cut silence with Smart Cut, and export a clip together in a browser tab, in real time, the way a team edits a shared Google Doc. It loses to Opus Clip on automatic virality ranking and to Descript on transcript-editing depth, but for a small team that wants one accessible tool for general editing plus basic repurposing, it is the more practical daily driver.

Pros

  • Smart Cut automatically detects and removes dead air and silence from a recording, a real time-save on unedited interview or webinar footage
  • Real-time multiplayer editing lets multiple team members work the same project simultaneously from a browser, no desktop app or file-passing required
  • Auto-subtitling and a broad export/format library cover general content needs beyond just short-form clips, useful for a team that also needs square or landscape cuts
  • Free plan and $16/mo Pro entry point are accessible for a small team testing the workflow before committing budget

Cons

  • The per-project credit system is genuinely confusing at first: AI features (subtitling minutes, text-to-speech, dubbing) draw from a separate monthly credit pool than plain export minutes, and it is easy to burn credits on experiments
  • Clip-finding for virality is thin compared to Opus Clip or Vizard: Kapwing surfaces editing tools, it does not rank moments by predicted performance, so short-form curation stays manual
  • 120-minute export cap per video applies even on the $50/mo Business plan, a real ceiling for a webinar or multi-hour recording that needs a single long export
  • Real-time collaborative editing occasionally produces conflicting simultaneous edits on the same clip, the same class of friction as any live-collaboration tool
Honest Weakness: Kapwing is a capable general editor with repurposing features attached, not a specialized clip-finding engine. A team whose only goal is 'take this podcast and hand me the ten best short clips, ranked' will get a more targeted, less manual result from Opus Clip or Vizard. Kapwing is the right pick when the team also needs general editing, subtitling, and format flexibility in the same tool, and treats repurposing as one job among several rather than the whole point.

Built for Teams, Not Just Solo Creators

Kapwing's defining feature is that it runs entirely in the browser and supports real-time multiplayer editing, the same collaborative model as a shared document rather than a single-user desktop editor. A social team can have one person trimming a clip while another writes captions on the same project simultaneously. Neither Descript, Opus Clip, nor Vizard offer this kind of live, multi-cursor collaboration on the same timeline, which makes Kapwing the more natural fit for a team of two or more working on the same footage at once.

Smart Cut and the Editing Toolkit

Smart Cut analyzes a recording for silence and dead air and removes it automatically, a direct answer to the tedious part of cleaning up an unedited webinar or interview before it goes anywhere else in the workflow. Combined with auto-subtitling, a background remover, and a broad export format library, Kapwing functions as a general video editor first and a repurposing tool second, which is exactly why it lags Opus Clip on automatic virality ranking: that specific feature was never the core product.

Free (10 credits/mo, 30 min export cap, 720p); Pro $16/mo annual ($24 monthly); Business $50/mo annual ($64 monthly); Enterprise custom

Visit Kapwing
4

Riverside.fm

Honorable Mention

Best for: Recording remote interviews and podcasts in separate high-quality tracks, with AI editing layered on afterward

Riverside is fundamentally a recording tool, local per-participant recording that avoids Zoom-call compression artifacts, with Magic Clips and Magic Audio added as a post-production layer once the session ends. That makes it a different primary use case than the four other tools here: someone who hasn't recorded the interview yet and needs a reliable remote-recording studio should start with Riverside; someone who already has finished footage from somewhere else should not, since Riverside's AI editing tools work best on its own native recordings.

Pros

  • Local recording per participant avoids the compression artifacts and dropped-frame issues that Zoom or Google Meet recordings introduce, a real quality gap for anything published beyond an internal review
  • Magic Clips auto-generates short clip candidates directly from a finished recording session without exporting to a separate tool
  • Magic Audio does one-click cleanup (noise, levels, room tone) comparable in effect to Descript's Studio Sound, applied automatically at the end of a session
  • Recording, editing, and repurposing live in one product, which removes the export-and-reimport step required when a recording tool and an editing tool are separate

Cons

  • If the footage already exists, a webinar recorded in Zoom, an old YouTube upload, a conference talk, Riverside's repurposing tools are built around its own recording pipeline and are not the natural entry point for that job
  • Separate-track download hours are metered and capped even on paid tiers (5 hrs/mo on the $24/mo Pro plan), a real limit for a prolific weekly podcaster who records multiple long sessions
  • Pricing runs higher than the pure editing/repurposing tools here for comparable AI feature depth, since a chunk of the subscription pays for recording infrastructure a footage-first workflow doesn't need
  • The AI editing feature set (Magic Clips, Magic Audio) is younger and less specialized than Opus Clip's clip-ranking or Descript's transcript editor, since it's a secondary product line, not the core one
Honest Weakness: Riverside's AI editing is secondary to its recording function, and that ordering matters for whether it fits this comparison's actual use case. If the footage is already recorded somewhere else, an old webinar, a YouTube upload, a conference talk, Riverside doesn't help edit or repurpose it, since Magic Clips and Magic Audio are built to operate on sessions recorded inside Riverside itself. Choose Descript, Opus Clip, Kapwing, or Vizard for repurposing footage that already exists; choose Riverside when the interview or podcast hasn't been recorded yet and needs a reliable remote studio first.

Recording First, Editing Second

Riverside's core architecture records each participant's audio and video locally on their own device and uploads it separately, which avoids the artifacts that come from recording a live video call over a compressed connection. This is the reason podcasters and interview shows choose it in the first place, quality of the raw capture, and every AI editing feature it offers is layered on top of that recording pipeline after the session ends, not designed as a general-purpose importer for footage recorded elsewhere.

Magic Clips: What It Actually Does

Once a session finishes, Magic Clips scans the recording and surfaces short clip candidates, and Magic Audio applies automated cleanup, noise reduction, level balancing, in a single pass. Both work well on Riverside-native sessions because the tool has clean, separate-track source material to work from. Feeding Riverside a video recorded elsewhere is possible via upload, but the workflow and the product's design center are built around its own recording-to-editing pipeline, not around ingesting arbitrary existing footage the way Opus Clip or Vizard are.

Free (2 hrs one-time multi-track recording); Pro $24/mo annual ($29 monthly); Grow $34/mo annual ($39 monthly); Webinar $79/mo annual ($99 monthly); Business custom

Visit Riverside.fm
5

Vizard

Best Free Option

Best for: Budget-conscious auto-clip generation from long-form video, the cheaper alternative to Opus Clip

Vizard covers the same job as Opus Clip, ingest a long recording, auto-detect and reframe short clips, at roughly half the entry price. The Creator tier undercuts Opus Clip's Starter plan while including 4K export and no watermark, which makes it the pick for a creator or small team that needs auto-clip generation but can't justify Opus Clip's price. The trade-off is a smaller company and a less mature clip-ranking model: user reports consistently place Vizard's auto-selected moments a step behind Opus Clip's in relevance, which is the real cost of the lower price, not a hidden fee.

Pros

  • Creator tier at roughly $14.5/mo (annual) undercuts Opus Clip's $15/mo Starter while including 4K export and no watermark, the more accessible entry point for a solo creator
  • AI clipping with automatic 9:16 reframing covers the same core repurposing job as Opus Clip: long recording in, short vertical clips out
  • AI B-roll suggestions and auto emoji/keyword highlighting add production polish without a separate editing pass
  • Free plan includes 60 credits a month, enough to test the clip-finding quality on a real recording before paying anything

Cons

  • Clip-finding relevance trails Opus Clip's ClipAnything in side-by-side user reports; the auto-selected moments need a more careful human review pass before they are reliably postable
  • Free plan output is capped at 720p with only 3-day storage and a single social account, tighter than Opus Clip's comparable free tier in practice
  • Credit system is the same per-minute-of-source-video model as Opus Clip, so a long unedited podcast recording still burns credits fast on ingest regardless of how many clips come out
  • Smaller company and shorter track record than Opus Clip means less certainty about long-term feature investment and support responsiveness
Honest Weakness: Vizard is the budget alternative to Opus Clip covering the same job, auto-finding clips in long-form footage, at close to half the price. That price gap is real and so is the quality gap it buys: Vizard's virality-style ranking is less mature, and the clips it surfaces need more manual judgment before publishing than Opus Clip's do. If clip-selection accuracy is the deciding factor and the budget supports it, Opus Clip is the safer default. Vizard is the right pick when budget is the binding constraint and a bit more manual review time is an acceptable trade.

The Budget ClipAnything Alternative

Vizard's product shape mirrors Opus Clip closely: upload or import a long recording, let the model detect and rank candidate moments, get auto-reframed vertical clips with captions and highlights ready to post. The difference that matters in practice is price, Vizard's paid entry tier runs meaningfully below Opus Clip's Starter plan while still including 4K export and no watermark, making it the more realistic option for a creator who cannot justify Opus Clip's cost but still wants automated clip-finding rather than manual scrubbing.

Where the Credit System Gets Tight

Like Opus Clip, Vizard bills by source-video minutes on ingest, so a weekly two-hour podcast consumes a fixed, sizable chunk of the monthly credit pool before a single clip is finalized. The free plan's 60 credits cover roughly one hour of source footage a month, workable for testing but not for production use. Anyone evaluating Vizard against Opus Clip should budget the comparison on actual weekly recording length, not just the sticker price of the entry tier.

Free (60 credits/mo, 720p, 3-day storage); Creator ~$14.5/mo annual (7,200+ credits/yr tiers); Business ~$19.5/mo annual (adds team seats, brand kit)

Visit Vizard

Which One Should You Pick?

Use CaseOur Recommendation
I record a 90-minute podcast every week and need to publish 5-8 short clips per episode fastOpus Clip. ClipAnything plus the Virality Score turns a long recording into a ranked shortlist instead of a manual scrub, which is the workflow a weekly production cadence actually needs. Budget credits carefully: a 90-minute episode costs 90 credits to ingest before a single clip exists.
I need to edit the raw episode itself first, cut a rambling tangent, fix a flubbed line, before I even think about short clipsDescript. Transcript-based editing turns cutting a bad section into deleting text instead of scrubbing a timeline, and Studio Sound cleans up audio recorded on a basic mic. Feed the cleaned episode into Opus Clip or Vizard afterward for clip harvesting if needed.
My team collaborates in real time on video edits from a browser and nobody wants to install desktop softwareKapwing. Real-time multiplayer editing lets multiple people work the same project simultaneously, and Smart Cut handles the tedious silence-removal pass before anyone starts trimming clips by hand.
I haven't recorded the interview yet; I need a reliable remote recording setup with decent AI editing built inRiverside.fm. Local per-participant recording avoids the compression artifacts of a Zoom recording, and Magic Clips generates short-clip candidates directly from the finished session without a separate export-import step.
I want Opus Clip-style automatic clip-finding but I'm bootstrapped and can't justify $15-29/month yetVizard. It covers the same auto-clip-from-long-form job at close to half the price, with a real quality trade-off: expect to spend more time manually reviewing the clips it surfaces before publishing.

How we evaluated

AI video editing and repurposing tools take footage that already exists, a recorded podcast, webinar, or interview, and cut it down: trimming the source, removing filler words and dead air, or generating short-form clips for social media. That is a different product category from text-to-video generation (Sora, Runway) and from AI avatar generation (HeyGen, Synthesia): there is no synthetic footage or scripted presenter here, only editing of a recording that was already captured. This comparison weighs how each platform performs on the dimensions that decide whether a real production or marketing team can ship faster with it.

Each tool was assessed on the criteria that decide real outcomes, the same dimensions you see in the comparison table above:

  • Best fit: the production problem each platform actually solves best, editing the source recording versus harvesting short clips from it versus recording it in the first place.
  • Auto-clip quality: how often the automatically selected or generated clips are actually postable without heavy manual rework.
  • Transcription accuracy: how the underlying speech recognition holds up on crosstalk, overlapping speakers, and accented audio, since every AI-driven cut or caption depends on it.
  • Collaboration and workflow fit: whether the tool is built for a solo editor, a team working the same project together, or a full recording-to-publish pipeline.
  • Pricing model: how cost scales with export minutes, source-video minutes ingested, and seats, since per-minute credit systems can burn through an allotment fast on long-form content.

What we reviewed

This comparison draws on official documentation and publicly posted pricing, and hands-on evaluation where access was available. It reflects the market as of 2026 and is refreshed as tools ship and reprice.

Note

Editorial independence: this is a vendor-neutral comparison with no paid placements, sponsorships, or affiliate links. Rankings reflect fit for the stated use cases, not commercial relationships.

Frequently Asked Questions

What's the difference between AI video editing tools and AI video generation tools like Sora or Runway?
These are three distinct categories, and this comparison covers only the third. AI video generation tools such as Sora and Runway create video from scratch out of a text or image prompt, no source footage involved. AI avatar generators such as HeyGen and Synthesia produce a talking-head video of a synthetic presenter reading a script, also with no source footage. AI video editing and repurposing tools, Descript, Opus Clip, Kapwing, Riverside.fm, and Vizard, take footage that already exists, a recorded podcast, webinar, or interview, and cut it down, clean it up, or turn it into short-form clips. If there is no existing recording, this category doesn't apply; that's a generation or avatar job instead.
How accurate is the transcription these tools rely on for cutting and captioning?
All five tools depend on automatic speech recognition to power their transcript-based editing, filler-word removal, and captioning, and accuracy drops in the same real-world conditions across all of them: overlapping speakers or crosstalk, strong or regional accents, and low-quality source audio. None of them are reliable enough to skip a manual transcript review before publishing, especially for interview-format content with multiple speakers. Budget proofreading time into the workflow rather than treating auto-transcription as a finished product.
Do I need Descript AND Opus Clip, or does one tool do both jobs?
Descript can technically do both, its Underlord assistant surfaces short-clip candidates, but that feature is a bolt-on to a full editor, not a dedicated clip-ranking engine. Many real podcast and content operations run both tools in sequence: Descript (or Kapwing) for the main episode edit, then Opus Clip or Vizard to harvest and rank short clips from the cleaned recording. Running two specialized tools for two different jobs is a common, not wasteful, setup in this category.
Is Riverside.fm actually a video editing tool, or is it something else?
Riverside is primarily a recording studio for remote interviews and podcasts, local per-participant recording, with AI editing (Magic Clips, Magic Audio) layered on after the session. It's a genuinely different primary use case than the other four tools here. If footage already exists from elsewhere, Riverside is not the natural entry point; if the interview hasn't been recorded yet, Riverside solves the recording problem and hands you AI editing as a bonus.
How does per-minute credit pricing actually work for a long podcast?
Opus Clip and Vizard both bill by minutes of source video ingested, not by clips produced or minutes of output. A two-hour podcast costs roughly 120 credits to process on Opus Clip regardless of how many usable clips come out of it, which can exhaust a $15/mo Starter plan's 150 monthly credits in a single episode. Descript and Kapwing meter differently, by media minutes processed per plan tier, but the same principle applies: long-form source material burns through an allotment faster than the marketing page's headline number suggests. Model the cost against actual weekly recording length before committing to a tier.
Which of these tools has the most usable free plan for testing before paying?
Descript's free plan (60 min/mo, no watermark on exports) and Vizard's free plan (60 credits/mo, but capped at 720p with 3-day storage) are both realistic for evaluating clip quality on a real recording. Opus Clip's free tier processes 60 minutes but watermarks exports and deletes them after 3 days, workable for judging clip-selection quality but not for actually publishing anything. Kapwing's free tier is the most limited of the five, 10 credits and a 30-minute export cap at 720p, more useful for testing the interface than doing real work.

About the author

is the founder and creator of LoginRadius, a customer identity platform he built and scaled to over a billion users. He is now the founder of GrackerAI, a GEO platform for B2B SaaS and cybersecurity teams, and has spent more than 15 years building identity and security products.

Related Comparisons