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WyattBlue avatar

WyattBlue/auto-editor

0
View on GitHub↗
4,460 stars·559 forks·Nim·Unlicense·67 viewsauto-editor.com↗

Auto Editor

Auto-editor is a command-line automated video editor that uses FFmpeg to remove silence and inactive footage from video files. It functions as a processing suite with specialized cut generators that identify segments to trim based on loudness thresholds, motion analysis, and speech-to-text transcription.

The tool distinguishes itself by offering a flexible post-production workflow, allowing users to export automated cut timelines as XML or JSON files for use in professional non-linear editing software. Beyond simple deletion, it can perform dynamic playback adjustments, such as increasing the speed of quiet segments instead of removing them entirely.

The project covers a broad range of media manipulation capabilities, including audio normalization, sibilance reduction, and visual effects like layer compositing, graphics overlays, and scale transformations. It also supports the ingestion of remote media via URLs and provides utilities to preview edit statistics without rendering the final video.

Features

  • Automated Video Editors - Functions as a command-line automated video editor leveraging FFmpeg to remove inactive footage.
  • Audio Transcriptions - Converts spoken audio from video files into text using speech-to-text models to drive editing decisions.
  • Speech to Text Transcription - Converts spoken audio into text to determine which video segments to keep or remove.
  • Still Footage Removal - Detects still footage through motion analysis to automatically trim non-active video segments.
  • Clip Concatenations - Stitches together selected time ranges from a single source into a continuous output sequence.
  • Clip Trimming - Adjusts start and end points of media segments to remove unwanted footage or alter playback speed.
  • Linear Edit Timelines - Represents video edits as a sequential list of segments with associated start times and durations.
  • Motion Vector Calculation - Detects still footage by measuring pixel-level changes between frames to identify sections with minimal movement.
  • Transcript-Based Editing - Uses synchronized text transcriptions as an interface to determine which video segments to keep or remove.
  • Segment Removal - Cuts video or audio sections based on loudness and motion analysis using configurable expressions and smoothing rules.
  • Silence Detection - Identifies inactive audio segments by analyzing amplitude levels against user-defined decibel thresholds.
  • FFmpeg Transcoders - Processes video and audio by generating complex filter graphs and command-line arguments for the FFmpeg engine.
  • Video Editing - Removes silent or motionless sections from video files to create a concise final cut without manual trimming.
  • Audio-Driven Cutting - Cuts out inactive audio segments based on a configurable loudness threshold to eliminate dead space.
  • Inactive Media Removal - Jumpcut cuts out silent or motionless sections from files based on loudness thresholds and motion analysis.
  • Still-Frame Cutting - Cuts out sections of a video where there is little to no motion to clean up recordings.
  • NLE Sequence Exports - Translates internal timeline data into industry-standard XML formats for interchange with professional non-linear editors.
  • Video Timeline Exports - Exports video project states and timelines as XML or sequence files for external professional refinement.
  • Nonlinear Timeline Generation - Creates structured timeline files from media that support multiple overlapping audio and video layers.
  • Level Normalization - Adjusts audio volume using peak amplitude scaling or perceived loudness analysis to ensure consistent levels.
  • Transcription-Driven Slicing - Determines video cut points by matching timestamps from speech-to-text model outputs with the raw media timeline.
  • Audio Volume Controls - Changes the loudness of audio sections using a multiplier or interpolates volume over time using a ramp.
  • Clip Effects Pipelines - Modifies individual media segments using action strings to adjust properties like speed, volume, zoom, and color.
  • Dynamic Zoom Transformations - Zooms the image in or out by a specified factor or animates the zoom level using a ramp.
  • Edit Decision Overrides - Forces specific time ranges to be kept, sped up, or assigned custom actions regardless of automated analysis.
  • Edit List Generation - Generates timestamp sequences as XML or JSON files to define cuts and joins for professional editing software.
  • Silence-Based Speed Adjustment - Increases the playback speed of quiet segments instead of removing them to maintain a continuous timeline.
  • Layered Compositing Stacks - Manages multiple overlapping video tracks by calculating z-index positioning and transparency for overlays.
  • Playback Speed Controllers - Provides tools for adjusting the playback rate of media segments to maintain timeline continuity without deleting footage.
  • Segment Action Overrides - Jumpcut overrides default processing by assigning specific actions to a defined start and end timestamp.
  • Segment-Based Effect Groups - Modifies specific video segments by adjusting playback speed, volume, and zoom levels based on predefined groups.
  • Trigger-Based Editing Actions - Assigns behaviors like speeding up or deleting segments based on custom-defined audio or motion triggers.
  • Video Compositing - Stacks multiple video tracks from bottom-to-top to create overlays with custom positioning and transparency.
  • Visual Overlays - Adds images or videos on top of existing footage with customizable positioning and animations.
  • AI Video Post-Production Suites - Implements a post-production workflow combining AI transcription and automated editing to generate professional edit decision lists.
  • Video Encoding Tools - Python tool to automatically remove silence and jump cuts.

Star history

Star history chart for wyattblue/auto-editorStar history chart for wyattblue/auto-editor

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Frequently asked questions

What does wyattblue/auto-editor do?

Auto-editor is a command-line automated video editor that uses FFmpeg to remove silence and inactive footage from video files. It functions as a processing suite with specialized cut generators that identify segments to trim based on loudness thresholds, motion analysis, and speech-to-text transcription.

What are the main features of wyattblue/auto-editor?

The main features of wyattblue/auto-editor are: Automated Video Editors, Audio Transcriptions, Speech to Text Transcription, Still Footage Removal, Clip Concatenations, Clip Trimming, Linear Edit Timelines, Motion Vector Calculation.

Which projects share features with wyattblue/auto-editor?

Projects with overlapping indexed features include: mifi/editly — Editly is a headless, programmatic video engine and automated assembler. It functions as a declarative video editor… kde/kdenlive — Kdenlive is an open-source non-linear video editing suite designed for digital video post-production. Built on the MLT… carykh/jumpcutter — Jumpcutter is an audio-based video cutter and automatic editor designed to eliminate dead air from video files. It… browser-use/video-use — This project is an AI video post-production suite that uses large language models and programmatic tools to automate… microshow/rxffmpeg — RxFFmpeg is an Android multimedia framework and media transcoder based on FFmpeg. It provides a set of tools for video… mli/autocut — Autocut is a text-based video editor and automatic speech recognition tool. It allows users to cut and merge video…

Projects sharing features with Auto Editor

These projects share indexed features with Auto Editor. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • mifi/editlymifi avatar

    mifi/editly

    5,435View on GitHub↗

    Editly is a headless, programmatic video engine and automated assembler. It functions as a declarative video editor that generates MP4 and GIF exports from structured data or code, removing the need for a manual graphical user interface. The system is distinguished by its ability to integrate GLSL fragment shaders as visual layers within a programmatic timeline. It uses a configuration-based model to define clips, layers, and audio tracks, allowing for reproducible video assembly and the generation of custom programmatic graphics. The engine covers a broad range of media production capabilit

    TypeScript
    View on GitHub↗5,435
  • kde/kdenliveKDE avatar

    KDE/kdenlive

    5,207View on GitHub↗

    Kdenlive is an open-source non-linear video editing suite designed for digital video post-production. Built on the MLT Framework and utilizing KDE Frameworks for its user interface, it provides a multi-track environment for assembling clips, applying transitions, and rendering final video files. The editor distinguishes itself through a comprehensive set of animation and effect tools, including keyframe-based parameter animation with a visual curve editor for fine-tuning transitions. It supports advanced visual modifications such as clip speed remapping, effect region masking, and the integra

    C++
    View on GitHub↗5,207
  • carykh/jumpcuttercarykh avatar

    carykh/jumpcutter

    3,141View on GitHub↗

    Jumpcutter is an audio-based video cutter and automatic editor designed to eliminate dead air from video files. It functions as a utility that condenses footage by detecting and removing silent sections based on audio track analysis. The tool utilizes FFmpeg to automatically identify quiet gaps and strip them from recordings. This process focuses on removing silent video sections to create faster-paced content without the need for manual editing. The system operates by calculating decibel levels against a defined volume threshold to generate a list of timestamps for audible segments. These s

    Python
    View on GitHub↗3,141
  • browser-use/video-usebrowser-use avatar

    browser-use/video-use

    9,743View on GitHub↗

    This project is an AI video post-production suite that uses large language models and programmatic tools to automate editing, transcription, and subtitle generation. It functions as an AI editing agent that translates natural language instructions into shell commands, providing a programmatic interface for manipulating media via FFmpeg. The toolkit includes a motion graphics engine that generates technical animations and visual overlays through code-driven rendering and mathematical definitions. It distinguishes itself by combining an AI-powered transcriber for word-level timestamps with an a

    Python
    View on GitHub↗9,743
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