Is there an AI tool that removes silences and filler words and adds captions to a podcast video automatically?

Yes. Upload the episode to Valmera and ask for all three in one message: "cut the dead air and the ums, keep the laughter, add podcast-style captions". The agent cuts on word boundaries, captions the edited timeline and checks a rendered preview before replying. You review it, restore anything you want back, then export the MP4.

What is the best AI podcast clip maker?

It depends on the job. OpusClip is built for fast, automated clipping at volume, and Riverside Magic Clips makes clips in one click and is convenient if you already record in Riverside. Valmera is built for story-led clips: it keeps the question an answer needs, never cuts away before the payoff, and gives every clip its own editing agent you can direct by chat.

Can it handle two hosts and a guest?

Yes. The transcript carries speaker labels, so you can refer to "the guest's answer about pricing". On a switched multi-camera feed, the vertical crop re-aims at each camera cut. When people share one wide shot, Valmera fits the frame and the agent sets a crop for each speaker turn, which you check in the preview.

Will it cut pauses or laughter I wanted to keep?

Name what to protect in the request, such as laughter, the pause before a punchline or complete answers, and the agent keeps it. If a cut still goes too far, ask for it back; your upload is never modified, so every cut can be restored.

Does Valmera improve podcast audio quality?

It normalizes the final mix to −14 LUFS, can remove background music from the recording while keeping the speech, ducks added music under voices and adjusts levels. It has no audio denoise or echo removal, so fix background noise at the recording or in an audio tool first.

Does it work for audio-only podcasts?

Valmera edits video files: MP4, MOV, M4V, MKV or WebM, up to 100 GB and 3 hours. For an audio-only show, upload the episode as a video with a static cover image, or use an audio-first editor.

What do I get at the end?

Full-resolution H.264 MP4s rendered from your original file: the edited episode, plus one MP4 per short. Captions are burned into the picture; Valmera does not export SRT or VTT files, and it doesn't publish to YouTube or podcast hosts for you.

Creating an account and uploading are free. Editing requires a subscription. Paid exports end with a brief Valmera end card.

AI Podcast Editor and Clip Maker

Valmera edits a video podcast the way a producer would, from one chat. Upload the episode and ask for a cleanup (dead air, ums, retakes, anything else you name) plus word-timed captions; the agent cuts on word boundaries and checks a rendered preview before it replies. Then turn the same episode into clips: Shorts mode finds every complete story, and each becomes its own captioned 9:16 short.

Episodes can run up to 3 hours. Every cut is reversible, so you can always ask for a moment back.

Edit Your Episode and Its Clips

Clean up the full episode, then cut story-led shorts from it. Creating an account and uploading are free; editing requires a subscription.

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See pricing →

How to Edit a Podcast and Make Clips in Valmera

1
Upload the episode
MP4, MOV, M4V, MKV or WebM, up to 100 GB and 3 hours. Upload one recording: a switched program feed, a side-by-side composite or a single wide shot. Valmera indexes it once: transcript with speaker labels, silences, shot changes and frames.
2
Ask for the cleanup
Name what goes and what stays: “cut the dead air and ums, remove false starts, keep the laughter and complete answers, add podcast captions.” Give guest names and unusual terms so the captions spell them right.
3
Review and export the episode
Watch the preview, restore anything cut too tight and fix any caption text. Ask to normalize the loudness, then export the 16:9 MP4 for YouTube.
4
Make the clips in Shorts mode
Start a new upload with the toggle set to SHORTS, describe the clips you want and press Make shorts. Each complete story in the episode becomes its own card.
5
Edit and export the clips
Press Edit reel on the cards you want. Each gets its own editing agent: 9:16 reframe, captions, punch-ins where they help. Refine any clip by chat, then press Export ready shorts.

PROMPTS TO PASTE

Cut the dead air and the ums, remove false starts and repeated takes, and keep the laughter and every complete answer. Add podcast-style captions.

The guest is [name] from [company]. Spell both exactly like that in the captions.

Normalize the loudness for YouTube and add a title card before each new topic.

In Shorts mode: find the complete stories for TikTok and Reels, and include the host's question whenever the answer needs it.

What the AI Podcast Editor Does to a Full Episode

Job	What Valmera does	Your control
Dead air	Cuts pauses on word edges and keeps breathing room, so no word or breath is clipped	“Keep thinking pauses.” “Only cut pauses over a second.”
Filler words	Removes um, uh and your own verbal tics at their exact word timestamps	“Keep ‘like’ when it carries meaning.”
Retakes and false starts	Finds repeated attempts in the transcript and keeps the take you choose	“Keep the second take of the intro.”
Captions	Word-timed and burned in; the podcast preset lights up keywords and makes numbers big	Fix a name, change the preset, hide captions in a section
Framing	16:9 for YouTube plus 9:16 or 1:1 versions, with the crop re-aimed at each camera cut	“Keep both hosts in frame for the intro.”
Titles and chapters	Title cards and lower thirds at the moments you name	“Lower third with the guest’s name at 0:45.”
Loudness	Final mix normalized to −14 LUFS with a −2 dBTP true-peak ceiling	“Normalize the loudness.”

Each job also has its own page: remove silence, remove filler words, remove repeated takes and add captions. Cleanup comes before captions, so the captions follow the final timing.

Podcast Clips That Tell a Whole Story

Podcast clips fail when they open on an answer without its question or stop before the point lands. Valmera’s Shorts scout reads the timed transcript of the whole conversation and keeps a story only if it has a setup, a development and a payoff. In interviews it includes the question an answer needs, keeps speaker turns intact and never cuts away before the answer resolves. Titles can tease, but they never misrepresent what the guest said.

Each story becomes its own project card, so you choose which clips to finish. Press Edit and an editing agent completes that clip: 9:16 reframe, captions, emphasis where it earns its place, and a preview it checks. The AI clip maker page covers the full Shorts workflow, including exporting a whole batch at once.

Two-Person and Multi-Camera Podcasts

Switched program feed (from Riverside, StreamYard, a hardware switcher or an earlier edit): Valmera measures the speaker in every camera shot and re-aims the vertical crop at each cut.
Everyone in one wide shot: Valmera doesn’t guess the speaker from face size. It fits the frame, and the agent sets a crop for each speaker turn using the speaker-labeled transcript and the frames. Check those sections in the preview.
Separate camera files: Valmera edits one main recording per project and doesn’t sync angles, so upload the switched feed or a composite. See the auto reframe page for how the crop is chosen.

Podcast Audio: What Valmera Fixes and What It Doesn’t

Valmera normalizes the final mix to −14 LUFS with a −2 dBTP ceiling, the right level for YouTube and social video. It can strip background music from the recording while keeping the voices, duck your intro music under speech and set levels by section. It has no audio denoise or echo removal and can’t rebalance two voices recorded on one track, so fix those at the source. For an audio-only feed, master to your host’s target; Apple asks for about −16 LKFS. Every platform’s numbers are in the loudness targets chart.

When Another Tool Fits Better

Descript edits audio and video by editing text and adds Studio Sound enhancement, filler-word removal, clip creation and publishing to hosts and YouTube (descript.com, checked October 6, 2026). It suits audio-first shows that need the sound itself repaired.
Riverside Magic Clips picks highlights and makes captioned clips with presets for YouTube, TikTok and Instagram, from Riverside recordings or uploads (riverside.com, checked October 6, 2026). It is convenient if you already record there.
Valmera suits shows that want the whole video edit, the episode and story-led clips, done by an agent from plain-English direction. Compare it in detail with Descript and OpusClip.

Limits

No audio denoise, echo removal or per-speaker level balancing on a shared track. No multicam sync of separate camera files. Captions are burned in, with no SRT or VTT export for podcast hosts. No direct publishing to YouTube, Spotify or your host: download the MP4s and upload them. English is the best-tested transcription language.

More for Podcasters

The podcasters guide covers the weekly routine, the interviews guide covers guest-led shows, and the cuts and cleanup docs explain every control. Start from the AI video editor overview if you are new to Valmera.

Using Claude, ChatGPT or Cursor? cut_silences, remove_filler_words, add_captions and make_shorts are available through Valmera’s MCP server; over MCP your assistant picks the clip ranges itself, and make_shorts creates the clip projects for it to edit.