Jubler vs Subtitle Edit
Jubler
jubler.orgSubtitle Edit
subtitleedit.github.ioSide by side
| Figure | Jubler | Subtitle Edit |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | Yes | — |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | — |
| Plans published | 2 | 1 |
| Spec score · Subtitle tools | 8.9 (#4) | 8.9 (#3) |
| Spec score · Subtitle Software | 8.6 (#5) | 8.2 (#13) |
| Free plan | Yes | Yes |
| Platform support | The project officially supports Windows, macOS and Linux. | The documentation covers the cross-platform version, Subtitle Edit 5 |
| Subtitle formats | The current project supports more than 20 formats, including SRT, ASS/SSA, WebVTT, MicroDVD, SubViewer, MPL2, TTML, DFXP, ITT and YouTube subtitles. | Documentation includes Supported Formats, SRT, WebVTT, and ASSA references |
Plans
In their own words
Jubler
Jubler is a free, open-source desktop editor for creating, revising and converting text-based subtitles. It runs on Linux, macOS and Windows and handles more than 20 subtitle formats, including SRT, ASS/SSA, WebVTT, TTML, ITT, DFXP and YouTube subtitles. Users can shift timing, convert frame rates, split or join entries and files, check spelling, and search and replace with regular expressions. A timeline with draggable subtitle blocks supports two-point synchronization. With VLC, Jubler can preview video and frames, show audio waveforms and let users edit subtitles during playback. Quality tools include configurable validation rules and TED guidelines checks. Translation mode supports Azure Translator, and command-line tools are available for batch work and automation. Downloads include builds for Apple Silicon and Intel Macs, Windows, Linux x86_64 and arm64, as well as a generic Java version. VLC is required for video preview and audio waveforms; ASpell is suggested for spell checking. Jubler is licensed under AGPL-3.0.
Subtitle Edit
Subtitle Edit is a free subtitle editor for creating, styling, converting, and reviewing subtitles. It runs on Windows, macOS, and Linux, and its documentation covers the cross-platform Subtitle Edit 5, which uses an Avalonia-based version. The editor supports speaker identification, caption styling, burn-in, and export to other formats; documentation references SRT, WebVTT, and ASSA. Speech-to-text options include Whisper, Qwen3 ASR, Crisp ASR, and related engines. Translation tools include automatic translation and local engines, while OCR support includes Tesseract, PaddleOCR, and cloud engines. Video tools handle burn-in, re-encoding, cutting, and remuxing. For proofreading, it can use llama.cpp, Ollama, or an OpenAI-compatible endpoint. The seconv command-line tool supports headless and bulk conversion, and documentation covers creating and installing plugins. The open-source project is maintained at SubtitleEdit and hosted on GitHub Pages. Documentation, a FAQ, and contributing guidance are available. It is free, with no stated free-tier limits.