How accurate is the cost estimation?

The skill calculates cost based on token counts and multiplies by a 1.5x factor to account for system prompts and overhead, providing a realistic production budget.

What API providers are supported?

The skill supports OpenRouter, OpenAI, and local or remote Ollama instances, allowing you to choose between high-performance paid models or free local models.

How does the skill handle large batches of files?

It uses a batching system (25 subtitles per request) and includes a resilient execution wrapper that tracks progress and retries failed batches automatically.

Will my subtitle formatting and HTML tags be lost?

No, the skill uses a critical preservation logic that strips HTML tags before sending text to the LLM and reapplies them to the translated output to prevent corruption.

Media Subtitle Translation

Name: Media Subtitle Translation
Author: theflysurfer

bytheflysurfer

생산성 및 워크플로

Translates SRT subtitle files using various LLM providers with batch processing and HTML tag preservation.

소개

This skill automates the professional translation of SRT subtitle files for movies and series, supporting multiple LLM backends including OpenRouter, OpenAI, and local Ollama instances. It is designed for efficiency and scale, handling large batches of episodes while managing API costs through pre-estimation and resilient processing. Key technical features include a specialized mechanism to preserve HTML formatting, exponential backoff for retries, and a persistent progress tracking system that ensures no data is lost during long-running translation tasks.

주요 기능

Resilient execution with auto-restart wrappers and failed batch queuing
Accurate cost estimation with a 1.5x overhead buffer for production reality
0 GitHub stars
Intelligent batch processing (25 subtitles per request) to optimize API calls
Technical tag preservation (strips HTML before translation and reapplies after)
Multi-provider support (OpenRouter, OpenAI, Ollama Local/Hostinger)

사용 사례

Translating an entire anime or TV series with hundreds of episodes cost-effectively
Converting movie subtitles into local languages using high-quality models like Llama 3.3 or Claude 3.5
Running zero-cost local subtitle translations using Ollama for privacy and unlimited usage

소개

주요 기능

Resilient execution with auto-restart wrappers and failed batch queuing
Accurate cost estimation with a 1.5x overhead buffer for production reality
0 GitHub stars
Intelligent batch processing (25 subtitles per request) to optimize API calls
Technical tag preservation (strips HTML before translation and reapplies after)
Multi-provider support (OpenRouter, OpenAI, Ollama Local/Hostinger)

사용 사례

Translating an entire anime or TV series with hundreds of episodes cost-effectively
Converting movie subtitles into local languages using high-quality models like Llama 3.3 or Claude 3.5
Running zero-cost local subtitle translations using Ollama for privacy and unlimited usage