Tool overview
Ecliptor is listed under AI Infrastructure & MLOps AI tools.
What is Ecliptor?
Ecliptor is developing document-ingestion and AI-search infrastructure. Its official demo converts complex PDFs, including images and tables, into structured Markdown chunks designed for embedding, retrieval, and downstream search workflows.
Best for
Developers prototyping ingestion for document search and RAG systems
Who is it for?
Decision note
Rebuilt from the original export under V412/V411 independent factual verification. Preview only; Apply requires Failures = 0, Warnings = 0, Unmapped = 0, Missing = 0, reviewed explicit clears, image import disabled or V380 PASS, representative edit-screen comparison, and a zero-change post-Apply Preview.
Key features
PDF-to-Markdown ingestion API
Chunk formation for embedding and retrieval
Handling of images, tables, and complex layouts
Demo workflow for inspecting source and transformed output
Use cases
Prepare documents for retrieval-augmented generation
Convert complex PDFs into structured text
Create embedding-ready chunks for vector databases
Prototype document-search and ingestion pipelines
Pros
- Official demo exposes concrete ingestion behavior
- Focused on structured output for retrieval
- Verified founder email is published on the demo
Cons
- The main product site remains a coming-soon page
- No public pricing or plan structure is listed
- Public documentation and deployment detail remain limited
Limitations
The available official experience is a demonstration rather than a complete self-service product catalog with published service levels and billing.
Output quality and chunk usefulness depend on document structure, tables, images, OCR conditions, and downstream embedding and retrieval configuration.
Pricing details
Billing options
Custom API engagement
Pricing note
Ecliptor provides a PDF-to-Markdown ingest API through a demo and direct commercial conversation. No stable numeric price, ongoing free plan, or general time-limited free trial was published.
Supported languages
- English
Integrations
Embedding pipelines
Vector databases
Retrieval systems
PDF workflows




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