Marker vs Unstructured
On the evidence we track, Unstructured leads this comparison with a composite score of 75/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.
Capabilities
Feature-by-feature on the axes that matter for ai data extraction agents. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
Marker
A tool that transforms PDFs into structured markdown and JSON formats using advanced machine learning models for layout analysis and optical character recognition. Supports integration with various language models including Claude, Gemini, and OpenAI-compatible APIs.
Unstructured
LeaderA platform that processes PDFs, scans, images, and other document formats using AI to extract and organize their content into structured formats for language models. Offers open-source libraries and a metered-usage cloud API.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Marker
Free open source (research, personal, startups <$5M). Commercial licensing available.
- Open SourceFree
- PDF to markdown/JSON conversion
- Layout analysis with OCR
- Table recognition
- LLM integration support
- CommercialContact sales
Unstructured
Leader$0.015/page. 10,000 free pages.
- Usage-based$0.015/page after 10,000 free pages
- OCR
- Parsing
- Partitioning
- VLM enrichment
- Chunking
- +1 more
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
- Gemini
- OpenAI
- Azure OpenAI
Marker
- Claude
- Azure
- Vertex
- OpenRouter
- Ollama
- Google Vertex AI
Unstructured
Leader- Airtable
- Google Cloud Storage
- Google Drive
- Jira
- PostgreSQL
- S3
- Salesforce
- SFTP
- Slack
- Snowflake
- SQLite
- Zendesk
- Amazon Bedrock
- Astra DB
- DuckDB
- Elasticsearch
- IBM Milvus
- IBM watsonx.data
- Weaviate
- Anthropic
- Google Gemini
- AWS Bedrock
- IBM watsonx
- NVIDIA
- +18 more
Marker or Unstructured: which one depends on you
A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.
Free to run, no account needed to start. How the evaluation works
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.