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Anesya Documentation

Transform documents into structured, reusable data.

Anesya is a document processing platform for developers, no-code builders, and product teams that need reliable document extraction/automation.

You can use Anesya to generate OCR and markdown content, and extract structured JSON from a schema-driven workflow.

What you can do:

  • Parse documents into OCR output, markdown content, page-level data, and image descriptions
  • Extract structured fields from invoices, contracts, forms, and other business documents
  • Automate workflows with webhooks, n8n, backend services, and AI agents
  • Reuse stored documents across multiple parsing and extraction jobs

How it works

Upload or reference a document

Create parsing

Create extract from schema

Use structured result in your app

Upload or reference a document

Create parsing

Create extract from schema

Use structured result in your app

  1. Send a document using a stored document ID, a public URL, or a file upload
  2. Parse the content to generate OCR, markdown, page-level data, and processing status
  3. Extract structured JSON by applying one of your schemas to the parsed document
  4. Use the result in your product, workflows, databases, or downstream automations

Choose your starting point

API Reference

Browse every public endpoint, request schema, response format, and example.

  • Documents endpoints
  • Parsing endpoints
  • Extract endpoints

API Quickstart

Follow the fastest path from one document upload to one structured extract.

  • Upload a document
  • Create a parsing
  • Create an extract

Parsing Guides

Understand the supported input types and choose the right payload shape for your workflow.

  • Document ID
  • Public URL list
  • Multipart file upload

Automation Tutorials

Build reliable document flows for no-code tools, backend jobs, and AI agents.

  • n8n workflow patterns
  • Polling logic
  • Agent decision rules

Core building blocks

Documents

Store uploaded files and reuse them later across parsing and extraction workflows.

Parsings

Generate OCR output, markdown content, pictures, and page-level processing details.

Extracts

Turn a parsing or a document into structured JSON using one of your schemas.

Schemas

Define the exact output structure you want to receive from your document extraction workflow.

Built for multiple integration styles

Teams use Anesya in different ways depending on their stack and workflow maturity:

  • Backend integrations for API-first products and internal processing pipelines
  • No-code automations with tools like n8n for fast operational workflows
  • AI agent pipelines that need clear endpoint rules, polling logic, and stable payload shapes
  • Event-driven systems using webhooks to react when processing is complete

Choose the path that matches your use case:

Get started

Create an API key

Generate your API token from the dashboard and authenticate your first requests.

Run the quickstart

Process your first document end-to-end with the public API.

Create a schema

Define the structure of the JSON payload you want to receive.

Open the dashboard

Manage your account, API key, and operational setup from the Anesya dashboard.

Python SDK

The Python SDK is currently in development and will provide a simpler integration path for Python applications and internal automation scripts.

Need help?

If you need support, contact support@anesya.app.

 
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