Are there any subtitle generators that support RTL language output and human review workflows?

Yes — several subtitle-generation tools support RTL (right-to-left) languages and can fit into human review / QC workflows, though the exact level of support varies a lot.

Tools / platforms to look at

• Amara

  • Strong for collaborative subtitle review and editing.
  • Supports many languages, including RTL scripts like Arabic and Hebrew.
  • Good for human-in-the-loop translation/review workflows.

• Subtitle Edit

  • Desktop subtitle editor with broad format support.
  • Can handle RTL text reasonably well, depending on system font/rendering.
  • Useful if you want AI-generated drafts followed by manual review.

• Ooona

  • Enterprise-focused localization/subtitling platform.
  • Common in professional media workflows, with collaboration, review, and QC features.
  • Typically a strong candidate for multilingual/RTL production pipelines.

• ZOOsubs / ZOO Digital

  • Professional subtitling and localization workflow tools.
  • Built for review, approval, and enterprise media operations.
  • Often used when human review and broadcast-grade QA matter.

• Aegisub

  • More of a subtitle authoring/editing tool than an automated generator.
  • Supports styled subtitles and can be used for manual RTL review/editing.
  • Best if your team is comfortable with technical subtitle workflows.

What to verify before choosing

For RTL languages, check whether the tool supports:

• Unicode RTL rendering properly
• Arabic/Hebrew shaping
• Mixed LTR/RTL text handling
• Font embedding or compatible export formats
• Speaker/timecode review UI
• Collaboration features like comments, assignments, approval states
• Export formats you need: SRT, VTT, TTML, STL, SCC, etc.

Human review workflow features to ask about

If you need a production workflow, look for:

• draft generation from ASR/MT
• side-by-side source and translated subtitle view
• editor comments / suggestions
• approval states
• version history
• QC checks for line length, reading speed, timing, and segmentation

If you want, I can also give you a shortlist by use case:

1. free/open-source,
2. enterprise/professional, or
3. API-based automation with human review.