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数眼智能AI

Shuyan AI is a data and model cloud platform for developers and enterprise teams, bringing multi-provider model access, webpage parsing, connected search, and file OCR into one development environment.

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No verified public pricing is available yet.

Official sources

Verified: September 8, 2026

DevPrice organizes public information and does not sell 数眼智能AI subscriptions. Prices and availability are determined by 数眼智能AI.

What is 数眼智能AI?

Shuyan AI is a data and model cloud platform for developers and enterprise teams, bringing multi-provider model access, webpage parsing, connected search, and file OCR into one development environment. Its model layer exposes a unified interface for text, image, and video tasks, alongside usage monitoring and controls for quotas and model permissions.

The data products turn outside material into structured inputs for AI systems: webpage parsing can return Markdown and JSON, OCR extracts content from documents and images, and connected search supplies current retrieval data. Model API access requires an account, a funded balance, and a generated API key; webpage parsing starts from a target URL, whereas the OCR workflow requires a document or image.

Key features of 数眼智能AI

  • Unified model interface

    One API entry point aggregates text, image, and video models and supports the mainstream OpenAI interface protocol for integration with existing developer tools and command-line clients.

  • Structured webpage parsing

    After receiving a target URL, the service combines visual recognition, a webpage database, and differentiated parsing to return structured results such as Markdown and JSON.

  • Connected search data

    Connected search uses AI and vector indexing to return current search data for agents, research workflows, and applications that need external information.

  • File OCR parsing

    Documents and images can be submitted to the OCR service for structured extraction in complex document processing, corpus preparation, and knowledge-extraction workflows.