Markdown and JSON output
Convert documents into AI-ready Markdown or structured JSON for downstream analysis and LLM workflows.
Monkt
BeanspruchenMonkt converts documents to Markdown or structured JSON via REST API for file- and URL-based processing in AI workflows.
Overview
Monkt is a document processing platform that converts documents into AI-ready formats, including Markdown and structured JSON. The site positions it for companies and developers working with AI systems and emphasizes clean, structured output for Large Language Model workflows.
The public API documentation shows a REST-based workflow with token authentication, file uploads, URL input, schemas, prompts, and deep extract downloads. That makes Monkt suitable for teams that want to automate document transformation and retrieval in application code rather than handle conversion manually.
Features
REST API for document workflows
Use the REST API to list, create, inspect, and delete transformations programmatically.
File and URL-based input
Upload files or submit a URL to start a transformation from the API.
Schema-driven extraction
Create and apply schemas for structured JSON extraction from transformed content.
Prompt-based extraction
Define prompts that can be applied to transformations, including prompts that return JSON output.
Deep extract downloads
Download deep extract results in multiple formats, including ZIP, JSON, and Markdown variants.
Use Cases
Prepare documents for AI workflows
Convert reports, articles, or other documents into Markdown or JSON so they can be used in LLM pipelines, search workflows, or internal tooling.
Automate document processing in applications
Send files to the API, retrieve transformation results, and manage them through standard list, detail, and delete operations.
Extract structured records
Apply a schema when you need structured fields from transformed content, such as invoice numbers, dates, or other named data points.
Work with deep extract artifacts
Use deep extract outputs when you need multiple downloadable representations, including ZIP archives and Markdown or JSON variants.
Run prompt-based extractions
Use the prompt endpoints to create reusable extraction instructions and apply them to transformations for repeatable processing tasks.
Pros and Cons
Pros
- Supports AI-oriented outputs such as Markdown and structured JSON.
- Provides a REST API for programmatic document processing.
- Accepts both file uploads and URL-based inputs.
- Includes schemas, prompts, and deep extract formats for more specific extraction workflows.
- Documents token-based authentication and common API operations.
Cons
- The pricing page returned a 404 in the provided evidence, so current plan details are not available.
- The collected sources do not fully document output limits, supported file types, or broader integrations.
FAQ
What can Monkt do via the API?
The source shows a REST API for transforming documents, including file uploads and URL-based input. It also supports JSON output, schemas, prompts, and deep extract downloads.
How do you authenticate requests?
The documentation says API requests require authentication with an API token in the `Authorization` header.
Can Monkt process both uploaded files and URLs?
The documentation includes both file upload and URL-based transformation examples, so Monkt can process documents from uploaded files or from a web URL.
Where can I find Monkt pricing?
The public pricing page currently returns a 404 in the collected evidence, so pricing details are not available from the provided sources.
Quick Facts
- Category
- Document transformation
- Primary users
- Companies and developers working with AI systems
- Platform
- Web app and REST API
- Inputs
- Uploaded files and URLs
- Outputs
- Markdown, structured JSON, and deep extract formats
- Source domain
- monkt.com
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