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Large Language ModelsVideo GenerationAI Coding AssistantsHacker NewsPublished: Aug 9, 2026, 16:01 JST

Rust video editor with 46 filters, AI tools launched

Rust video editor with 46 filters, AI tools launched

3 Key Points

  1. What happened

    A developer has released a video editing, screen recording, and streaming tool built in Rust using the Slint GUI framework, supporting Linux and Windows. The tool includes a multi-track timeline, 46 video filters (transform, transition, mask, effect, overlay, and AI/advanced), 12 audio filters, keyframe animation, subtitle editing, and an export system supporting MP4, AAC, FLAC, MP3, OGG, and WAV formats.

  2. Why it matters

    The tool bundles extensive AI capabilities—including smart clip detection, speech transcription, scene detection, background removal, watermark removal, super-resolution enhancement, music stem separation, speaker diarization, optical character recognition, text-to-speech, and music generation—making advanced video production accessible without switching between multiple applications. The full undo/redo system and crash recovery protect work in progress.

  3. What to watch

    The tool exposes 50+ editor operations via Model Context Protocol, enabling AI agent control; the developer notes that AI operation results are incomplete and not great currently. Screen sharing uses WebRTC and RTMP streaming. Source code and build instructions are available on GitHub.

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Context & Analysis

This release represents a comprehensive attempt to consolidate video production workflows into a single Rust-based application. The inclusion of 46 video filters across multiple categories—transform, transition, mask, effect, overlay, and AI/advanced—demonstrates breadth that would typically require plugins or separate tools. The subtitle editing system (with AI translation and removal of hardcoded subtitles via LaMa inpainting) and global filters (progress bar, rotation, timer, speed, danmaku overlay) address both technical and creative use cases common in content creation.

The AI tools suite is the tool's distinguishing feature. Rather than treating AI as an accent, the developer has integrated it deeply: smart clip detection and smart mix (a three-phase pipeline combining transcription, visual recognition, and semantic matching) suggest an attempt to automate editorial decisions. Other tools like stem splitter, speaker diarization, and the embedding-based similar video segment detection lower barriers for creators who lack audio engineering or linguistic expertise. The developer's note that AI operation results are "not great, currently incomplete" signals active development and honest assessment of what remains work-in-progress.

The export queue system supporting parallel tasks and the full undo/redo system (with configurable history up to 1000 steps) reflect production-focused design. However, the tool's dual build process (separate Wayland wlr and XDG portal versions on Linux, separate Windows setup with FFmpeg and Qt dependencies) indicates a steep build and configuration surface, likely limiting uptake beyond developers and technically proficient users.

FAQ
What operating systems does this tool support?
The tool supports Linux and Windows. It can be built for different Wayland environments on Linux (wlr for Sway and Hyprland, or XDG Desktop Portal for Ubuntu and KDE) and for Windows.
What video and audio formats can I export?
Video export supports MP4 with H.264 encoding, at resolutions from 480P to 4K, frame rates up to 60 FPS, and quality presets from Low to Ultra. Audio export supports AAC, FLAC, MP3, OGG, and WAV. Subtitles can be exported as SRT, VTT, or ASS formats.
What AI tools are included?
The tool includes smart clip detection, speech-to-text transcription (FunASR), subtitle translation and removal, background removal, object cutout, watermark removal, super-resolution enhancement (SwinIR), audio denoising (DeepFilter), music stem separation, speaker diarization, optical character recognition, text-to-speech (VoxCPM), music generation (MusicGen), and similar video segment detection.

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