Hey SaaS community! I wanted to share our approach to solving some common content localization challenges using various AI APIs. We've been working on integrating different services to create an efficient workflow, and I thought others might find our learnings useful.

The Challenges We're Addressing:

1. High dubbing costs
2. Multi-speaker voice-over complexity
3. Time-consuming subtitle generation
4. Translation accuracy issues
5. Manual audio editing overhead

Our Solution Approach:

We've found that combining different AI APIs can create a powerful workflow:

For Speech Generation:

• Using ElevenLabs/Google Cloud APIs for voice synthesis
• Implementing smart sync mechanisms for timing
• Cost: About $1-2 per hour of content

For Subtitle Generation:

• Assembly AI's speaker detection ($0.12/hour)
• OpenAI Whisper for transcription
• Batch processing for cost efficiency

For Translation:

• DeepL API (500k characters ≈ 6 hours of content free monthly)
• Context-aware translation for accuracy

I've put together a quick video demo (Early preview, not showing all features yet - demonstrates core functionality) showing how these pieces work together.

Key Learnings:

• Using your own API accounts keeps costs transparent
• Batch processing significantly reduces API costs
• Context-aware translation is crucial for quality

Would love to hear your thoughts or if anyone else is working on similar challenges!

(For those interested in trying this approach, we're packaging this as S2SS Suite. Happy to share more details in comments if helpful)