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martindelophy/ai-video-editor

Developer tools
920 stars Quality 71 Trend 53MIT

Open-source, local-first video editor where creators and AI agents edit the same real timeline.

Overview

This tool uses deep-synthesis technology and is intended solely for technical research and learning. - use only facial images or videos of themselves or people who have provided lawful authorization; - do not create or distribute any illegal, infringing, false, or misleading content; - do not present generated content as authentic footage or impersonate another person without their consent. Users are solely responsible for any legal liability arising from violations of these requirements. - pointer updates are combined once per display frame, in-flight video seeks complete before advancing to the latest requested time, and timeline sampling is cached. Thumbnail refinement pauses throughout dragging; releasing the pointer resolves the exact final position with the same controls.

README

Timeline Studio — Browser AI Video Editor

English | 中文 | 日本語 | 한국어 | Español | Français | Deutsch | Português | ไทย | Tiếng Việt | Русский

Create with Anna

Try the Anna edition for AI-assisted editing and project continuity:

  • Describe your edit to Anna, review a plan based on your brief and clip metadata, then apply supported clip ordering and simple 1× video trims.
  • Projects and media save automatically to Anna cloud storage and can resume with the same Anna account in another browser. Local project checkpoints provide an additional recovery option.
  • Refine the editable multi-track timeline, add AI voiceovers and manual captions, and export MP4 using an available browser encoder.

This desktop preview plans from metadata, without analyzing video frames or audio; local AI features depend on the Anna container’s capabilities.

→ Try Timeline Studio on Anna

遇到任何问题,欢迎扫码进群交流。我们急需你的建议和反馈!

Run into any issues? Scan the QR code to join our WeChat group. We really need your suggestions and feedback!

Responsible use of deep synthesis

This tool uses deep-synthesis technology and is intended solely for technical research and learning.

Users must ensure that they:

  • use only facial images or videos of themselves or people who have provided lawful authorization;
  • do not create or distribute any illegal, infringing, false, or misleading content;
  • do not present generated content as authentic footage or impersonate another person without their consent.

Users are solely responsible for any legal liability arising from violations of these requirements.

Project updates

  • 2026-10-24 — Replaced model-based HD restoration with adjustable local contrast and edge enhancement at original resolution, with before/after comparison and saved settings. Comparison playback uses one audible source stream, and enhancement status copy is consistent. Direct frame transfer and reusable buffers now avoid per-frame PNG round trips while keeping the enhancement algorithm unchanged. Detail enhancement now runs luminance, blur and edge processing on WebGPU, prefers a high-performance GPU, and falls back to the CPU when unavailable; the workspace shows the actual backend.
  • 2026-10-21 — Integrated saved source-scene analysis, reviewed execution plans, evidence-linked transcript summaries and optional offline visual search (#112–#115). Offline runtimes require separate preparation. #112–#115.
  • 2026-10-21 — Added editable Jianying Pro draft export through the local host and CLI, including transform keyframes and compatibility reports; targets domestic Jianying Pro 11.6.0 on macOS.
  • 2026-10-20 — Added an optional macOS local host with durable project saving, active-session renewal and recoverable write leases. The browser editor remains available. Setup and limits.
  • 2026-10-19 — Fixed replay after the AI watermark-removal comparison preview reaches the end. See the public Roadmap for planned work, Releases for shipped changes, and Issues for focused tasks and bugs.

What can it produce?

Explore reproducible before/after examples and editing recipes:

→ AI Video Editing Skills Handbook

Timeline Studio is a local-first AI video editor that runs in the browser. It combines a CapCut-style multi-track timeline with WebGPU AI music and repair, multilingual voiceovers, automatic captions, talking-avatar generation, and deterministic offline export.

Open the editor · Watch on YouTube · Hugging Face Space

Video demo

Auto Edit

Visual analysis, keyframes, captions, and export.

https://github.com/user-attachments/assets/e8327caa-429e-40ff-a7fe-a59e6cf7a464

AI Repair

Timed watermark removal with before/after review.

https://github.com/user-attachments/assets/aea9f5b4-c720-4b0c-9067-5ec124eef982

AI Voiceover

https://github.com/user-attachments/assets/304a744e-d620-4380-9c17-19af3726f5a4

AI capabilities

  • Multilingual voiceover: Chinese and mixed Chinese/English Hojo TTS Light 80M FP16 reference voices (晴岚 and 若溪), with autoregressive generation on WebGPU and stable waveform decoding on WASM; English Kokoro 82M; and browser Piper voices for German, Spanish, French, Italian, and Brazilian Portuguese.
  • Local AI music: Stable Audio 3 Small Q4 ONNX runs through WebGPU with translated free-form prompts, 30/60/90/120-second choices, waveform-aware long-track looping, persistent model caching, and automatic insertion into My Assets.
  • Automatic captions: Whisper small q8 ONNX with waveform-aware timing and conservative Chinese recognition cleanup.
  • Smart framing: YOLOS tiny subject detection and MODNet portrait matting for smart crop, caption avoidance, and background removal across images and complete videos.
  • AI Repair: browser-local MI-GAN watermark/object removal with multiple timed repair regions, plus NanoVSR 644K WebGPU 4× restoration for images and videos with synchronized before/after comparison.
  • AI vocal separation: isolate vocals and place the instrumental stem on the music track without leaving the browser workflow.
  • Digital human: JoyVASA audio-to-motion and LivePortrait neural rendering with WebGPU, 256px preview and 512px quality paths.
  • Local-first inference: large models are lazy-loaded, revision-pinned, and cached by the service worker; supported workflows run without uploading project media to an editing backend.

Resilient model delivery

Browser AI models are mirrored on both Hugging Face and ModelScope. Timeline Studio uses ModelScope first for Chinese interfaces and domestic sessions, uses Hugging Face first elsewhere, remembers the first working source for the current runtime, and automatically falls back to the other source when needed. Cache identities are shared across both providers, so switching routes does not download the same revision twice.

Editing and export

  • Contiguous main Visuals track plus timed picture-in-picture overlays.
  • Direct canvas selection, movement, proportional resize, rotation, masks, filters, effects, animation, speed, and explicit keyframes, plus desktop four-way color grading with fully keyframeable temperature, tint, saturation, hue, wheel saturation, and luminance controls.
  • Captions, stickers, voiceover, separated source audio, and music on independent timed tracks.
  • CapCut-style snapping, alignment guides, clip menus, split/duplicate/delete, timeline zoom, undo/redo, and portable .timeline projects.
  • Native media playback for a responsive preview; export uses a separate deterministic offline rendering path.
  • WebCodecs MP4/WebM composition with shared preview/export geometry, audio mixing, captions, overlays, effects, and MediaRecorder fallback.
  • Installable PWA with a cached app shell and multilingual UI.

Agent Skill

The repository includes the AI Video Editing Skill for Codex, Claude Code, Copilot and Gemini CLI, backed by edit-timeline-studio for planning, executing, and verifying editable video timelines.

It helps an agent:

  • inspect media and preserve the user’s editing brief;
  • describe reversible edits with stable clip IDs and explicit timestamps;
  • operate the hosted or local editor through the browser compatibility path;
  • validate declarative edit plans with skills/edit-timeline-studio/scripts/validate_edit_plan.mjs;
  • verify track placement, transitions, captions, overlays, audible audio, and final export artifacts;
  • keep the editable .timeline project as the source of truth instead of returning only an opaque render.

The versioned headless command runner loads and inspects portable projects, validates revisioned JSON plans, applies supported operations transactionally, supports dry runs and idempotent operation IDs, and writes a new .timeline archive without rewriting its media files. It also renders the documented portable Visuals + Voiceover + Music subset to a verified H.264/AAC MP4. Browser control remains the compatibility path for operations that are not in the command registry yet. The browser WebMCP integration provides 21 tools for the open project: structured inspection, 26 reviewed visual/caption/audio/marker/framing operations, existing-asset and picture-in-picture insertion, rendered frame/audio sampling, local voiceover/transcription jobs, guarded undo, project saving, and real video export with prepared settings, progress, output receipts and cancellation.

npm run agent -- project.inspect /absolute/path/project.timeline
npm run agent -- track.inspect /absolute/path/project.timeline visuals
npm run agent -- clip.inspect /absolute/path/project.timeline visual-123
npm run agent -- transcript.inspect /absolute/path/project.timeline voice-123
npm run agent -- project.diff /absolute/path/edit-plan.json
npm run agent -- project.run /absolute/path/edit-plan.json
npm run agent -- project.render /absolute/path/render-request.json

The legacy inspect and run aliases remain available. The write registry supports ffprobe-backed, hashed visual/audio import to Visuals, Music, or the portable Voiceover slot, plus transactional timed edits, captions, source-accurate Visuals/Overlays, transitions, validated properties, track state, and ratio changes. Read commands return project, track, clip, transcript, media-inventory, and field-level predicted diffs. See the command contract for the plan envelope.

Install through the public skills.sh directory (the current CLI requires Node.js 22.20.0 or later):

npx skills add MartinDelophy/ai-video-editor --skill edit-timeline-studio

Or install it with GitHub CLI 2.90.0 or later:

# Claude Code
gh skill install MartinDelophy/ai-video-editor edit-timeline-studio --agent claude-code --scope user

# Codex
gh skill install MartinDelophy/ai-video-editor edit-timeline-studio --agent codex --scope user

To install the tested release instead of following the latest release, add --pin v1.0.8. Preview the Skill before installing with:

gh skill preview MartinDelophy/ai-video-editor edit-timeline-studio

Roadmap

  • Now: expand the versioned command registry, harden deterministic offline export, and improve timeline editing reliability.
  • Next: expand headless render parity and the reviewed browser WebMCP command subset.
  • Later: add collaborative review workflows, a plugin extension surface, and more locally verified AI models.

Roadmap priorities are shaped in GitHub Discussions. Feature requests and real-world workflow feedback are welcome.

Help wanted

Timeline Studio is looking for contributors interested in browser media, WebCodecs, WebGPU/ONNX, timeline UX, localization, testing, and documentation.

  • Try the live editor and report reproducible bugs in Issues.
  • Join Discussions to propose features, share projects, or help prioritize the roadmap.
  • Read the contribution guide for setup, validation, and first-contribution guidance.
  • Contributions of focused fixes, tests, translations, documentation, and example projects are especially useful.

Quick start

Requirements: Node.js 20+ and a modern Chromium browser. WebGPU is recommended for the heaviest AI workflows.

git clone https://github.com/MartinDelophy/ai-video-editor.git
cd ai-video-editor
npm install
npm run dev

Open the local URL printed by Vite. The first AI run may download model files; later runs reuse the browser cache.

Validate and build

npm run build
npm run preview

Run the complete repository check with:

npm run check

Deploy

The included netlify.toml builds with npm run build, publishes dist, enables the cross-origin isolation headers required by browser AI/media workers, and provides the SPA fallback.

npx netlify-cli deploy --prod --dir=dist

Support and feedback

If this project helps you, please consider giving it a ⭐ Star. If you encounter a problem, please open an Issue.

Join our Discord community to ask questions, share feedback, and connect with other users and contributors.

License

Timeline Studio’s original source code is licensed under the MIT License.

The MIT License does not automatically apply to third-party models, model weights, datasets, fonts, stock media, or other bundled or remotely downloaded assets. Those materials remain subject to their respective upstream licenses and terms, regardless of where they are hosted or how they are downloaded or integrated. Review MODEL_LICENSES.md before redistribution or commercial use.

View the full README on GitHub

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Install

npx skillfish add martindelophy/ai-video-editor
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