Launching today
Ollang DX
The AI Language Execution Layer for Enterprise
102 followers
The AI Language Execution Layer for Enterprise
102 followers
Ollang is the AI language execution layer for localization across web, apps, video, audio, and documents. Use MCP to let AI agents run workflows, SKILLS for reusable agent actions, the SDK to scan and apply translations, and the API to build end-to-end localization pipelines. One platform for multimodal localization and production-ready developer integration.
Ollang DX
Hey Product Hunt! 👋
We've been quietly building something we believe the developer community has been missing: A proper localization layer for the agentic era
Why we built this:
Every AI agent, every app, every workflow is still English-first by default. Getting to 240+ languages means stitching together 5+ APIs, managing file conversions, handling dubbing, subtitles, and i18n files separately, all while keeping quality consistent. It's a mess 🤯.
🎁 What Ollang MCP Skills API & SDK does:
→ One API call to localize any file type — video, audio, DOCX, PDF, SRT, JSON etc.
→ Native MCP/SKILLS integration — Claude Code, Cursor, Cline, Codex and 15+ agents can localize files directly from their workflow
Begin like this now:
or like this:
What we'd love your feedback on:
- Which agent integrations matter most to you?
- What file types are critical for your localization workflow?
- Would you use this for a personal project, startup, or enterprise?
We're answering every question today. Drop your hardest localization challenge below, and we'd love to solve it with you.
Get started free → ollang.com
Ollang DX
Hey Product Hunt 👋
AI agents are everywhere, but localization is still fragmented, manual, and painfully multi-step.
We built Ollang MCP, Skills, and SDK to fix that.
→ One API to localize any file type
→ Works directly inside your agent workflows
→ Built for real-world complexity (video, audio, docs, i18n — all in one flow)
Curious, what’s the most painful part of localization in your current stack?
◯˚GitStart
Congrats on the launch, Aziz!
Localization has always been one of those things that feels like it should be a one-liner but ends up being 5 different tools duct-taped together. Can't wait to finally having something work natively inside agent workflows instead of as a separate step is a big deal! Nice work 🚀
Ollang DX
@mertyerekapan Thank you so much! That’s exactly the pain we wanted to solve 💜
Dubecos
This is exactly the kind of product that makes you think 'why didn't this exist before?' Multimodal localization with MCP + Skills + SDK in one platform is genuinely elegant architecture. The developer experience looks clean, and the enterprise angle is well thought out. Congrats on the launch @mazula95 — the future of AI-native localization is in good hands. 🚀
UserGuiding
Impressive work on MCP Skills!