Chunkr
Document intelligence API that converts complex documents into structured, LLM-ready data with OCR, layout analysis, and chunking.
At a Glance
About Chunkr
Chunkr, made by Lumina AI Inc. (dba Chunkr), is a document intelligence API that turns PDFs, Office files, spreadsheets and images into structured, RAG/LLM-ready output. It offers a managed Cloud API and an AGPL-3.0 open-source version that can be self-hosted. The homepage notes that Chunkr is joining Extend, with a migration guide published in its docs.
What It Is
Chunkr is infrastructure for document parsing and extraction. Its Parse workflow returns HTML or Markdown plus bounding boxes at segment, line and word level, and its Extract workflow turns documents into structured data that follows a JSON Schema, with citations and confidence scores. Output includes RAG-optimized chunks, image crops and file metadata.
Open Source vs Cloud
The README says the open-source release uses community models, while the Cloud API runs proprietary in-house models (layout-1, parse-1, order-1) and adds native Excel support. The vendor describes these models as more accurate; the accuracy figures on its site are vendor-published claims. Enterprise deployment can be on-prem or VPC, according to the vendor.
Setup Path
The open-source version runs through Docker Compose, with GPU, CPU-only and Mac ARM variants, and serves a web UI and an API locally. LLMs are configured via a models.yaml file or environment variables, using any OpenAI-compatible endpoint, such as OpenAI, Google AI Studio, OpenRouter, vLLM or Ollama. The Cloud API offers TypeScript and Python SDKs and a playground.
Security and Compliance
The vendor states it is SOC 2 and HIPAA compliant, with configurable zero data retention.
Community Discussions
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Pricing
Open Source (Self-hosted)
Self-hosted core under AGPL-3.0 (dual-licensed with a commercial license); uses community/open-source models, no native Excel support.
- AGPL-3.0 licensed core
- Self-hosted via Docker Compose
- Open-source models for layout analysis, OCR and VLM
- Community support via Discord
- Excel not supported
Dev
Cloud API start fast tier
- 25,000 included credits
- Overage $0.015/credit
- SLA uptime 99.9%
- Parse and Extract: 1 credit / page
- Spreadsheets: 1 credit / 5000 cells
- Pages processed with VLM use 2x credits
Growth
Cloud API scale up tier
- 75,000 included credits
- Overage $0.01/credit
- SLA uptime 99.99%
- Priority support with dedicated channels
Scale
Cloud API high volume tier
- 250,000 included credits
- Overage $0.008/credit
- SLA uptime 99.99%
- Priority support with dedicated channels
Enterprise
Custom solutions including on-prem deployment
- Custom credits
- Custom overage
- Custom SLA
- On-prem deployment
Capabilities
Key Features
- Layout analysis
- OCR with word-level bounding boxes
- HTML and Markdown output
- Structured extraction with JSON Schema compliance
- Citations and confidence scores
- Reading order detection
- RAG-optimized chunking
- Support for PDF, Word, PowerPoint, images and spreadsheets
- Self-hosting via Docker Compose
- Configurable LLM providers via models.yaml
