yoqu

yoqu / lingji-cut

Public

Open-source video creation tool

19
6
85% credibility
Found May 17, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

灵机剪影 (Lingji Shadow Cutter) is a desktop video editing application that combines traditional timeline-based editing with AI-powered features. It allows users to import video or audio content, automatically analyze and generate content cards, write and refine scripts with AI assistance, generate voiceovers from text, and export professional videos. The app integrates with various AI services for image generation, video generation, and text-to-speech, and includes features like project management, script versioning, and AI agent integration for enhanced productivity.

How It Works

1
🎬 You open the app and see your workspace

The app greets you with a clean welcome screen showing your recent projects and options to start fresh or pick up where you left off.

2
📱 You bring in your content

You can paste a Douyin video link and the app downloads and transcribes it automatically, or import your own audio file and subtitle file.

3
✨ AI reads your content and creates cards

The AI analyzes your subtitles, understands the structure, and generates beautiful content cards with titles and key points that match your video.

4
✍️ You write or refine your script

A dedicated script workbench lets you write, edit, and perfect your narration. The AI can help generate script drafts based on your original material.

5
🎙️ Your script becomes a voiceover

With one click, the app converts your written script into natural-sounding speech using AI voice technology, complete with subtitles.

6
You arrange your video story
🖼️
Generate cover images

Let AI create eye-catching cover images for your video based on your content

🎬
Add video clips

Import video clips and images to layer behind your content cards

🎉 Your video is ready to share

With one final click, the app renders your complete video—combining your voiceover, subtitles, and all the visual elements into a polished MP4 file.

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AI-Generated Review

What is lingji-cut?

Lingji-cut is an open-source desktop video creation tool built with Electron and TypeScript. It lets you import video footage, add audio tracks, generate AI-powered visuals, and export polished MP4s. The app centers on a timeline-based editor where you arrange clips, overlays, and subtitles, then render the final output using Remotion. It also includes a script workbench for writing video narratives and integrates AI generation pipelines for creating cover images and video cards from text prompts.

The tech stack includes React for the UI, Tailwind CSS for styling, and several AI provider integrations (image generation, video generation, TTS). A notable feature is its built-in MiniMax TTS support for generating voiceovers from text.

Why is it gaining traction?

The project targets a specific niche: creators who want to automate video production workflows with AI assistance. Its script workbench lets writers draft video narratives with AI-generated suggestions, while the agent system provides Claude Code integration for more advanced automation. The MCP server allows external tools to interact with the editor, opening up possibilities for custom pipelines.

Video rendering happens locally via Remotion, meaning you do not upload footage to a cloud service. The tool also supports importing from Douyin through a dedicated downloader module.

Who should use this?

Video creators in Chinese-language markets who want a self-hosted alternative to cloud-based editors. Developers interested in building AI-powered video workflows will find the modular architecture useful for extending the tool. Content teams working with batch video production could benefit from the script templates and AI card generation features. However, the interface and documentation appear to be primarily in Chinese, which limits its audience.

Verdict

Lingji-cut is an ambitious project with solid architecture and useful AI integrations. With only 19 stars, it remains early-stage and lacks the polish of mature tools. The credibility score of 0.8500000238418579% reflects a low-maturity codebase. If you are comfortable with early-adopter software and want local video editing with AI generation, it is worth exploring. For production use, expect to invest time in troubleshooting and contributing fixes.

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