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SubsAI

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What SubsAI is

SubsAI is free, open-source subtitle software for Linux, macOS, Windows, and self-hosted setups. It provides a Web UI, command-line interface, and Python package for generating subtitles from audio and video. Supported speech options include Whisper, faster-whisper, WhisperX, whisper.cpp, stable-ts, Hugging Face models, and OpenAI-compatible APIs. The Web UI is described as fully offline and supports subtitle editing. Translation uses dl-translate with NLLB, M2M100, and mBART models. Tools can synchronize subtitles with ffsubsync and merge them into video. Export formats include SubRip, WebVTT, SubStation Alpha, MicroDVD, MPL2, and TMP. Captions can be burned into video, and speaker identification is supported. The CLI supports batch paths. Docker deployment is documented. Installation requires ffmpeg; Python 3.10 or 3.11 is recommended, while later versions may have compatibility issues.

Who it suits

SubsAI suits users who want local subtitle generation, editing, translation, and synchronization across desktop or self-hosted systems. It also fits command-line and Python workflows.

What it does well

  • Free and open source
  • Offline Web UI without third-party services
  • Multiple speech-to-text model options
  • Subtitle translation and synchronization tools
  • Batch processing through the CLI

What to know first

  • Requires ffmpeg
  • Python 3.12 or later may have issues
  • NVIDIA GPU use may require CUDA
  • Support is directed through GitHub issues

Verdict

SubsAI provides a broad, local subtitle workflow with several model choices and export formats. Its installation requirements and possible newer-Python compatibility issues should be checked before setup.

Facts from SubsAI's own pages

Burn-in captions
Yes · github.com, 22 Sept 2026
Deployment
The project documents running its Web UI with Docker, including a prebuilt image and local image build instructions. · github.com, 12 Oct 2026
Formats
The README lists support for SubRip, WebVTT, SubStation Alpha, MicroDVD, MPL2, and TMP subtitle formats. · github.com, 12 Oct 2026
GPU support
The README says NVIDIA users may need CUDA for GPU capabilities and that AMD GPUs compatible with PyTorch should work. · github.com, 12 Oct 2026
License
The project is licensed under the GNU General Public License version 3 or later. · github.com, 12 Oct 2026
License and support
The project is licensed under GNU General Public License version 3 or later, and directs users to open GitHub issues for bugs or feedback. · github.com, 12 Oct 2026
Media input
SubsAI supports audio and video files, and the CLI accepts multiple files or a text file of paths for batch processing. · github.com, 12 Oct 2026
Media inputs
SubsAI supports audio and video files, including batch processing through the CLI. · github.com, 12 Oct 2026
Offline use
The README describes the Web UI as fully offline and says it does not use third-party services. · github.com, 12 Oct 2026
Platforms
The README says the Web UI works on Linux, Mac, and Windows. · github.com, 12 Oct 2026
Purpose
SubsAI generates subtitles through a Web UI, command-line interface, and Python package using OpenAI Whisper and its variants. · github.com, 12 Oct 2026
Requirements
Installation requires ffmpeg, and the README recommends Python 3.10 or 3.11 while warning that Python 3.12 or later may have compatibility issues. · github.com, 12 Oct 2026
Speaker identification
Yes · github.com, 22 Sept 2026
Speech models
Supported model options include Whisper, whisper-timestamped, whisper.cpp, faster-whisper, WhisperX, stable-ts, Hugging Face Transformers, and OpenAI Whisper via API or compatible APIs. · github.com, 12 Oct 2026
Subtitle editing
The Web UI supports modifying subtitles. · github.com, 12 Oct 2026
Subtitle export
other formats · github.com, 22 Sept 2026
Support
The README directs users to open a GitHub issue to discuss bugs, suggestions, or feedback. · github.com, 12 Oct 2026
Synchronization and video
Integrated tools can auto-sync subtitles with ffsubsync and merge subtitles into video. · github.com, 12 Oct 2026
Transcription models
Supported model options include Whisper, faster-whisper, WhisperX, whisper.cpp, stable-ts, Hugging Face models, and OpenAI-compatible Whisper APIs. · github.com, 12 Oct 2026
Translation
Integrated translation uses dl-translate and lists NLLB, M2M100, and mBART models. · github.com, 12 Oct 2026

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