PaddleOCR-VL-Aksara-Jawa
PaddleOCR-VL-Aksara-Jawa is a image-generation model from setilanaji, released April 14, 2026. PaddleOCR-VL-Aksara-Jawa is an open-weights image model.
by setilanaji
Best for
Ways to use PaddleOCR-VL-Aksara-Jawa in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your setilanaji API key. osFoundry discovers PaddleOCR-VL-Aksara-Jawa automatically — assign it to a Maestro role (router, direct, orchestrator, or fallback) in the Pipeline tab and it is live in every chat. Your key, your provider account — no token markup.
Deploy a dedicated endpoint
PaddleOCR-VL-Aksara-Jawa is open-weights — run it locally for free, or deploy a dedicated GPU endpoint in your workspace for reserved capacity with no rate limits.
Use it in a Room App
Room Apps declare AI features in their manifest, then call them with invokeAI:
import { invokeAI } from '@osfoundry/app-sdk'
// 'summarize' is an AI feature declared in your app manifest.
const result = await invokeAI('summarize', userText)
Call it from your own apps
Once a model is wired into your workspace you can host it as an API and reach it from your own services, scripts, or CI — outside osFoundry.
PaddleOCR-VL-Aksara-Jawa vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about PaddleOCR-VL-Aksara-Jawa
Is PaddleOCR-VL-Aksara-Jawa free to use?
PaddleOCR-VL-Aksara-Jawa is free to run locally on your own hardware. Hosted access through osFoundry is metered (input Free (local), output Free (local)). You can switch between local and hosted at any time.
Can I use PaddleOCR-VL-Aksara-Jawa commercially?
Commercial use is allowed with conditions. Licence terms not specified — verify the upstream model card before commercial use. Check upstream documentation.
Can I run PaddleOCR-VL-Aksara-Jawa locally?
Yes. PaddleOCR-VL-Aksara-Jawa is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is PaddleOCR-VL-Aksara-Jawa best at?
PaddleOCR-VL-Aksara-Jawa is well-suited to image to text.
How do I use PaddleOCR-VL-Aksara-Jawa in osFoundry?
Paste your setilanaji API key in the key dialog (or deploy the open weights for self-hostable models), assign PaddleOCR-VL-Aksara-Jawa to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by setilanaji on April 14, 2026. Source: https://huggingface.co/setilanaji/PaddleOCR-VL-Aksara-Jawa