Subtitle formats
SRT and VTT parsing, plus ASS/SSA handling. VTT headers, cue settings, and supporting sections receive format-specific treatment.
PROJECT STUDY / SIGNATURE 06
AI Subtitle Translator
The reviewed Laravel source separates parsing, AI translation, quality checks, and file reconstruction. That separation lets the experience explain what succeeded and what still needs review.
This study describes features present in the project source. A public release link is not provided here.
THE PROBLEM
A task worth simplifying.
Keep a subtitle translation workflow clear, even when there are multiple files and languages involved.
WHO IT HELPS
People translating SRT, VTT, ASS/SSA subtitles or text-based PDF and DOCX documents.
Document translation
Text-based PDFs can produce Unicode multipage PDFs. DOCX translation covers main body paragraphs and tables.
Explicit completion states
The source distinguishes translated and failed blocks instead of presenting a partial job as fully complete.
INTENTIONAL CHOICES
The reasoning behind the build.
Protect structure before text generation
Timing, identifiers, and inline formatting need different handling from the words being translated.
Make provider choice visible
The reviewed source does not silently switch away from an explicitly selected unavailable provider. That is a useful boundary for a workflow involving external services.
The approach
Parse supported files into translation units, preserve subtitle timing and protected placeholders, translate through the selected provider, and reconstruct a downloadable output.
THE WORKFLOW
From input to output.
A source-level explanation of the main steps. Deployment and settings can affect the exact behavior.
- 01
Read the structure
Parse subtitle cues or document text before sending the translatable parts onward.
- 02
Translate with context
The source includes a glossary and previous-context window, plus integrations for Groq, Gemini, DeepSeek, and Anthropic. A configured provider key is required.
- 03
Check and rebuild
Restore timing and protected structure, then identify translated and failed blocks. Partial output keeps failed blocks in their original language.
WHAT TO KEEP IN MIND
Useful tools have boundaries.
- Scanned or encrypted PDFs and OCR are not supported in this subtitle workflow.
- PDF visual layout is not reproduced. DOCX headers, footers, and text boxes are outside the translation coverage.
- AI output needs human review; provider setup and API charges are separate from the interface.
Have a useful idea?
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