Automate Video Editing

• Silence and filler words removed in one pass

  EchoWave transcribes your footage and flags every pause, um and uh so you can delete them all at once instead of scrubbing the timeline. The silence remover and filler word remover work from the transcript, so a rambling 20-minute take tightens up in a few clicks.

• Automate video editing with Echo, the built-in assistant

  Echo is a chat panel inside the editor with 39 editing tools. Tell it to cut the dead air, caption the clip in a karaoke style, add a zoom pop at 0:42 and speed up the intro, and it runs each step, previewing rendered frames to check its own work. It saves a checkpoint before big changes, so one click reverts everything.

• Captions that generate and style themselves

  Automatic speech-to-text with word-level timestamps turns into styled captions from 176 presets, including hormozi and Beast Mode karaoke styles with active-word fill. Subtitles translate into 86 languages, and you can export SRT, VTT, TXT or JSON alongside the burned-in version.

• Templates with placeholders

  Mark any text, image, video or audio layer in a finished project as a placeholder. Swapping the media spins up a new version while fonts, timing, animations and brand colors stay locked, which is how one edit becomes fifty.

• Batch rendering from a CSV

  Upload a spreadsheet and EchoWave renders one video per row, up to 100 per batch, filling each placeholder from the matching column. The bulk video generator page walks through the CSV format and a full example.

• A REST API built for rendering

  With an API key your code can list templates, fill placeholders, kick off single or batch renders and poll status until files are ready; a separate endpoint, POST /api/v1/clips, generates AI clips from a long recording with no template involved. One honest note on scope: template rendering fills placeholders rather than free-form timeline editing. The video editing API page has endpoints and examples.

• An MCP server for AI agents

  Install the echowave-mcp package from npm and Claude Desktop, Claude Code or any other MCP client can browse your templates, fill them and request renders, or call generate_clips to turn a long recording into scored, captioned clips, all as one step in a larger agent workflow. Pair it with an LLM that drafts your copy and the whole pipeline runs from a prompt.

• Cloud rendering at any volume

  Every render runs on EchoWave's cloud render farm, so a 100-row batch never touches your CPU and device hardware does not cap output quality. Free renders export as HD 720p MP4 with a small removable EchoWave watermark badge, and paid plans remove the badge and raise the ceiling: 1080p on Basic, 1440p and 4K on Pro, and 8K or 120fps on Business.

• Generate Clips From a Long Recording via API

  POST /api/v1/clips, or MCP's generate_clips, turns one long recording into 1-30 ranked clips, each carrying a Viral Score of 0-100 across Hook, Clarity, Emotion, Value and Trend plus a title, hook line, hashtags and word-timed captions. A prompt search over the transcript, such as 'find moments about pricing', pulls topic-specific clips, and search_clip_moments does the same from an agent.

• Speaker-Aware Reframing With Seven Layouts

  Generated clips ship with the Smart camera: on-screen speaker detection (lip movement matched to the voice) cuts between people on their turns across seven layouts, Follow speaker, Split, Grid, Presenter + slides, Picture in picture, Fill and Letterbox over blur. Captions come in any of 60+ presets sized for portrait, and every camera move is an editable keyframe.

1. 1

   Build the master edit

   Upload your footage and clean it up fast: auto captions with a preset you like, silence and filler removal from the transcript, brand kit fonts and colors applied. Ask Echo to handle the fiddly steps if you would rather describe the edit than perform it.

2. 2

   Turn it into a template

   Convert the project to a template and mark the layers that change between versions as placeholders: the hook text, the main clip, the logo, the voice over. Everything you do not mark stays fixed in every render.

3. 3

   Feed it data

   Fill placeholders by hand for a one-off, upload a CSV for up to 100 renders in a batch, or send the values through the REST API or echowave-mcp from a script or AI agent. Each row or request becomes its own video.

4. 4

   Render and collect

   Renders run in the cloud while you do something else. Watch progress in the dashboard or poll status over the API, then download the finished MP4s. Free renders are HD 720p with a small removable watermark badge, and paid plans remove it and go up to 4K on Pro and 8K on Business.

• Batch social clips from one CSV

  Design one vertical quote template, then feed it a spreadsheet with a hook line, a background clip and a caption color per row. A hundred rows come back as a hundred rendered clips without opening the editor again.

• Weekly episode re-renders

  Keep your show intro, lower thirds and end card as a template, then use replace-media re-versioning to drop in each week's title, date and thumbnail. The branding never drifts because nobody rebuilds it by hand.

• Personalized outreach videos

  Put a prospect's first name, company logo and a custom opening line in placeholder slots, then render straight from your lead spreadsheet. Sales teams get one video per contact from a single afternoon of template work.

• Captioning as a default step

  Run every clip through auto captions with a saved preset so styling stays identical across your whole library. Word-level timestamps mean the karaoke highlight lands on the right syllable without manual nudging.

• Tightening talking-head footage

  Podcasts, lectures and product demos shed their pauses and filler words through transcript-based cutting. What used to be an hour of razor edits becomes a review-and-confirm pass.

• Agent-driven rendering

  An AI agent drafts the copy, picks a template over echowave-mcp, fills the placeholders and returns a render link. You approve the output instead of producing it.

Based on each tool's public pages as of July 2026. Descript centers on in-editor AI, while Creatomate and Shotstack are developer rendering platforms; EchoWave covers all three: in-editor AI, template fill and render, and a separate AI clip generation endpoint.