# ViscribeAI

## Docs

- [ViscribeAI](https://docs.viscribe.ai/index.md): Extract structured data from images using AI models.
- [Quickstart](https://docs.viscribe.ai/quickstart.md): Install ViscribeAI and extract structured data from your first image.
- [OpenAI-compatible](https://docs.viscribe.ai/model-providers/openai-compatible.md): Configure OpenAI-compatible model providers, credentials, base URLs, and request options for ViscribeAI.
- [Custom client](https://docs.viscribe.ai/model-providers/custom-client.md): Pass a compatible client instance when your application owns provider transport, authentication, retries, or observability.
- [Extract structured data](https://docs.viscribe.ai/features/extract.md): Extract schema-shaped data from images using simple fields, JSON Schema, or Pydantic models in Python.
- [Output Schema Validation](https://docs.viscribe.ai/features/schema-validation.md): How ViscribeAI validates parsed image extraction output against your schema in Python and TypeScript.
- [Contributing](https://docs.viscribe.ai/development.md): Set up the ViscribeAI repository and run the checks used for Python, TypeScript, and documentation changes.
- [Social media](https://docs.viscribe.ai/social-media.md): Find ViscribeAI and itsperini across GitHub, Discord, X, and LinkedIn.

## Optional

- [GitHub](https://github.com/itsperini/viscribe)
- [Discord](https://discord.gg/GVgJ9ujT)
- [Website](https://viscribe.ai)