AI Subtitle Translator
AIWeb-based AI subtitle translator for SRT, VTT, ASS, SSA, and SUB that preserves timing and improves natural localization.
-(0 Reviews)
Free Available
Starting from Free
AI Subtitle Translator
AI
Web-based AI subtitle translator for SRT, VTT, ASS, SSA, and SUB that preserves timing and improves natural localization.
-(0 Reviews)
Free Available
Starting from Free
About AI Subtitle Translator
AI Subtitle Translator is a web-based tool that translates subtitle files (SRT, VTT, ASS, SSA, SUB) using AI-driven localization to produce more natural, scene-appropriate text while preserving timestamps and cue structure. The service focuses on minimizing manual editing by keeping original timing and formatting intact and producing translations that better fit conversational tone and on-screen context. Users upload subtitle files and receive translated subtitle files in the same format, enabling easy integration back into videos or workflows.
Screenshots
+
Key Features
Multi-Format Support: Accepts and outputs common subtitle file formats including SRT, VTT, ASS, SSA, and SUB to maintain compatibility with various video tools and players.
Timing & Cue Preservation: Keeps original timestamps and cue structure intact so translated files can be dropped back into videos without re-timing or manual alignment.
AI-Powered Localization: Uses AI to produce translations that better match scene context and conversational tone, reducing literal or awkward phrasing.
Minimal Manual Fixing: Produces output designed to require less post-editing by translators or editors through improved scene fit and contextual translations.
Web-Based Workflow: Operates as an online tool allowing users to upload subtitle files and download translated versions without local installs or complex setups.
Supports common subtitle formats: SRT, VTT, ASS, SSA, SUB (and LRC in some forks)
LLM-based translation via OpenRouter/OpenAI/Gemini/Claude/Llama/Mistral and traditional APIs (DeepL, Google Translate, Azure) depending on implementation
REST API endpoints (health, models, status, config, translate content/file, async job submission, job listing) in FastAPI-based implementations
Synchronous and asynchronous job processing with background worker and job queue (SQLite persistence in some projects)
Adaptive batch sizing, parallel batch processing, and retry logic for robust throughput
Context-aware batching (send preceding/succeeding subtitle context to LLMs to improve coherence and scene fit)
Translation caching to avoid repeated API calls and reduce cost
Real-time progress reporting and cost tracking for async jobs
CLI tools and pip-installable packages in some projects (pip install subtitle-ai-translator)
Docker-friendly deployments and ability to integrate with Bazarr and other tooling
Use Cases
Localizing video content for international audiences by translating subtitle files while preserving timing and formatting for immediate use in players or streaming platforms.
Content creators producing multilingual releases can quickly generate translated subtitles that require minimal post-editing, accelerating publishing workflows.
Accessibility improvements for educational or corporate video libraries by translating captions into target languages while maintaining sync with video.
Translators and localization teams using the tool as a first-pass AI translation to speed up workflow before final human review and quality assurance.
Post-production workflows that need to add translated subtitle tracks to video files without reauthoring or re-timing subtitles.
Localizing video subtitle files for streaming platforms and creators
Batch translating large subtitle libraries into multiple target languages
Integrating automated subtitle translation into media workflows (Bazarr, video pipelines)
Self-hosted translation microservice for apps that need on-demand subtitle translation via REST API
Preprocessing subtitles for post-production to reduce manual timing and phrasing fixes
