What is Marker?
An open-source tool that extracts text, tables, and layouts from PDF files with high accuracy. It offers multiple processing modes (fast, balanced, OCR) and optional integration with language models for enhanced formatting and content extraction.
Marker pricing
We don't have Marker's full plan breakdown yet (its pricing page resisted automated reading). Here's what we could confirm. Always check live pricing for exact numbers.
Free and open-source. Commercial model weights require licensing beyond $5M funding/revenue threshold.
What Marker does
The capabilities that matter for ai data extraction agents, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Architecture model
- Open source library
- PDF and multimodal image OCR parsing
- ✓
- Web scraping to markdown or json
- ✓
- Tabular layout preservation for complex tables
- ✓
- Strict json schema forcing and validation
- -
- Fine tuned document layout analysis models
- ✓
- Native chunking and vectorization for rag
- -
- Javascript rendering for spa web scraping
- -
- Human in the loop hitl confidence review queue
- -
- Zero data retention privacy guarantees
- ✓
- SOC2 type ii
- -
- Mit or apache permissive oss license
- ✓
- Pricing model
- Free open source
Platform & deployment
Independently observed- CLI
- Self-hosted
Integrations (7)
Independently observed- Gemini
- Claude
- OpenAI
- Azure
- Vertex
- OpenRouter
- Ollama
Security & compliance
Known vulnerabilities: 0 (0 in the last 12 months) sourcea count reflects scale & disclosure, not quality
Marker alternatives
Other ai data extraction agents we track, ranked by the same independent score.
- KlippaTransform documents into structured data using AI-powered automationlow · 13%
- SensibleAI-powered document extraction that combines automated processing with rule-based validation to turn unstructured PDFs and forms into clean, validated structuremedium · 55%
- ReductoAn API platform that converts documents into structured data for AI applicationsmedium · 74%
- ZeroxConversational AI agents for financial institutions that automate borrower interactions across email, SMS, and voice channelslow · 8%
The Vioscale score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Marker, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Capabilities | 81 | 0.08 | 6.8 | ✓ |
| Pricing transparency | 80 | 0.08 | 6.7 | ✓ |
| Release cadence | 97 | 0.05 | 5.0 | ✓ |
| Price level | 80 | 0.05 | 4.2 | ✓ |
| Security posture | 40 | 0.07 | 2.9 | ✓ |
| Integrations | 26 | 0.09 | 2.4 | ✓ |
| Stars | 87 | 0.03 | 2.3 | ✓ |
| Development activity | 10 | 0.09 | 0.9 | ✓ |
| Reliability | 0 | 0.07 | 0.0 | - |
| Dependent projects | 0 | 0.06 | 0.0 | ✓ |
| Package downloads | 0 | 0.14 | 0.0 | - |
| Security score | 0 | 0.04 | 0.0 | - |
| Developer Q&A activity | 0 | 0.06 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Activity
| Attribute | Value | Evidence |
|---|---|---|
| Commits last 30d | 1 | mediumsource · 2026-08-26 · 65% |
Adoption
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Pricing model: free_open_source · Architecture model: open_source_library · Web scraping to markdown or json: Yes · Mit or apache permissive oss license: Yes · Pdf and multimodal image ocr parsing: Yes · Zero data retention privacy guarantees: Yes | mediumsource · 2026-08-25 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 7 | mediumsource · 2026-08-25 · 60% |
Language
| Attribute | Value | Evidence |
|---|---|---|
| Primary | Python | highsource · 2026-08-26 · 90% |
License
| Attribute | Value | Evidence |
|---|---|---|
| Spdx | Apache-2.0 | highsource · 2026-08-26 · 95% |