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SubtitleYC v0.2.0 Beta 1 (Superseded)

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@EricYC123 EricYC123 released this 27 Jul 13:08

Superseded: Download SubtitleYC v0.2.0 Beta 2. Beta 2 contains the refreshed MIT-licensed installers.

SubtitleYC v0.2.0 Beta 1

SubtitleYC is a free and open-source Windows app for extracting, reviewing, and editing frame-timed subtitles from video. The project is available under the MIT License.

This prerelease is for public testing and feedback.

Choose an Installer

Download one setup file:

  • Windows CPU setup - recommended for most users and does not require an Nvidia GPU.
  • Windows GPU (CUDA 12.9) setup - includes GPU-accelerated VideOCR for supported Nvidia GTX 16 through RTX 50 systems.

CUDA 11.8 is not included in this beta. Nvidia GTX 10 users should use the CPU edition. Installing a different edition replaces the application and OCR runtime while preserving the workspace under %LOCALAPPDATA%\SubtitleYC\workspace.

GitHub automatically includes the Source code archives on every tagged release. Those archives are for developers; Windows users who want to run SubtitleYC should download one of the setup files above.

Highlights

  • Local video and URL download workflows in one desktop app.
  • Native PyAV frame preview with crop selection and subtitle overlay.
  • CPU and Nvidia GPU VideOCR editions.
  • Subtitle import, cue timing edits, undo/redo, and SRT export.
  • yt-dlp format and site-subtitle discovery.
  • Project library, storage controls, activity rows, logs, and crash reports.
  • Dark and light themes with persisted settings.

Open Source

The complete application source is published in this repository. Bug reports and contributions are welcome:

Before Installing

  • This is beta software and may contain crashes or UI defects.
  • The installers are not Authenticode-signed, so Windows may show an unknown-publisher warning.
  • The GPU installer is large because it includes the CUDA OCR runtime.
  • OCR accuracy depends on the language, video quality, crop, and source frame rate.
  • Video websites change independently, so yt-dlp workflows may require future updates.
  • These installers were assembled before the repository's MIT transition and may display older beta license wording. The current source code is licensed under MIT.

Please do not attach private media or unredacted logs to public issues.