The 3 Best LlamaParse Alternatives in 2026

Docling is an open-source Python toolkit, MIT licensed with about 69,700 GitHub stars, that started in IBM Research Zurich and is now hosted by the LF AI & Data Foundation. It parses PDFs (layout, reading order, tables, formulas), DOCX, PPTX, XLSX, HTML, EPUB, images, emails and audio into a unified document model, then exports Markdown, HTML or JSON. It can run small vision-language models such as GraniteDocling for hard pages, plus OCR for scans, all on your own machine, which suits sensitive or air-gapped data. There is no paid tier: it ships as a library, a CLI, an API server and an MCP server, with integrations for LangChain, LlamaIndex, CrewAI and Haystack. The cost is your own compute; a GPU speeds up the vision models considerably but is not required for plain PDFs. Individual models keep their own licences. As of October 2026.

• Free and MIT licensed, with no per-page bill
• Documents never leave your infrastructure
• Very wide format support, including audio

Unstructured started as an open-source Python library, Apache-2.0 with about 15,600 GitHub stars, for partitioning PDFs, Office files, HTML, emails and images into typed elements such as titles, tables and list items. The hosted platform wraps that into full pipelines: pull files from S3, Google Drive, SharePoint or Confluence, parse them, chunk, enrich, embed, and write the result to a vector database or warehouse on a schedule. That connector-and-pipeline layer is the main reason teams pick it over a parse-only API. The platform gives 10,000 free pages with no card, then charges $0.015 a page ($15 per 1,000) with all features included. Business is custom and adds multi-user accounts, dedicated support, and deployment as a dedicated instance, in your VPC or on bare metal. The open-source library is free to run anywhere but has fewer models and no hosted pipelines. As of October 2026.

• Open-source library you can run anywhere
• Source and destination connectors for full ingestion pipelines
• Simple flat per-page price

Reducto is a document ingestion API aimed at teams where a wrong number in a table is expensive, such as finance, insurance, healthcare and legal. It combines layout models with vision-language models to parse complex PDFs, scanned forms, spreadsheets and slides into structured output, and adds APIs to extract fields to a schema, split long files, classify documents and fill in forms. A Studio web app lets non-engineers test pipelines. The Standard plan is pay as you go with 15,000 free credits to start. List rates per 1,000 pages: Parse $10, Extract $20, Deep Extract $40, Split $20, Classify $7.50 and Edit $60. Batch processing takes 20% off Parse and Extract. Growth (custom) adds volume discounts, zero data retention, a BAA and EU/AU data residency; Enterprise adds VPC or on-prem deployment and SSO. There is a startup programme and up to $5,000 of migration credit. As of October 2026.

• Strong on dense tables, forms and scanned pages
• Compliance options: zero retention, BAA, on-prem
• Extract, Split and Edit APIs beyond parsing