Last updated: 2026-08-14
Reducto is an agentic document-parsing platform founded in 2023 that turns PDFs, scans, and spreadsheets into structured, citation-ready JSON. Its Deep Extract feature scored 99.6% precision and recall on a published benchmark, and its agentic OCR layer corrects errors that single-pass OCR engines miss.
About Reducto
Reducto is a San Francisco-based document platform founded in 2023 by Adit Abraham and Raunak Chowdhuri. The company has raised $108 million across three funding rounds, most recently a $75 million Series B led by Andreessen Horowitz in October 2025, with Benchmark, First Round Capital, BoxGroup, and Y Combinator among its backers. The platform combines traditional computer vision with multi-pass vision-language models in an agentic OCR layer that automatically detects and corrects parsing errors, a design Reducto says improves extraction accuracy over AWS, Google, and Azure document APIs on real-world edge cases like handwriting, dense tables, and scanned forms. Its Deep Extract feature handles structured field extraction with bounding-box citations, and Smart Schema in Reducto Studio auto-generates extraction schemas instead of requiring teams to hand-write them. Reducto is built for developers wiring document understanding into RAG pipelines and AI agents. Its REST API, with Python and Node SDKs, covers Parse, Split, Extract, Edit, Classify, Generate, Redact, and Translate, and a hosted MCP server lets agents inside Claude Code, Cursor, Windsurf, and other MCP clients parse and extract documents directly in their reasoning loop, without custom glue code. The company names Harvey, Scale AI, and Vanta among its customers processing high volumes of enterprise documents. Access starts free, then moves to pay-as-you-go pricing, with Growth and Enterprise tiers moving to custom, quote-only pricing that adds volume discounts, zero data retention, a SOC 2 Type II attestation, a signed HIPAA business associate agreement, EU and AU data residency, and VPC, on-premise, or fully air-gapped deployment for regulated industries. Reducto positions itself against LlamaParse, Unstructured, and legacy cloud OCR (AWS Textract, Google Document AI, Azure Document Intelligence), arguing its agentic correction layer and enterprise deployment options suit high-stakes, high-volume document work better than heuristic layout parsers or basic OCR services.
Pricing
Free: 15,000 credits to start (1 credit = 1 page for a standard parse covering text, layout, tables, and OCR). Standard: pay-as-you-go at $0.015 per credit after free credits, with a lower per-page rate for asynchronous batch jobs. Growth and Enterprise: custom pricing (contact sales); Growth adds volume discounts, zero data retention, BAA, and EU/AU data residency; Enterprise adds VPC, on-prem, or air-gapped deployment, custom SLAs, and SSO/SAML.
Key Features
- Multi-format Parse API: Reads PDFs, scans, and spreadsheets in 30+ formats and returns structured, layout-aware JSON that preserves tables, charts, and handwriting.
- Agentic OCR correction: A multi-pass agentic OCR layer automatically detects and re-checks last-mile parsing errors that single-pass OCR engines miss.
- Deep Extract with citations: Structured field extraction returns bounding-box citations for every value, so downstream systems can trace each field back to its source location.
- Smart Schema in Studio: Reducto Studio's Smart Schema auto-generates and refines extraction schemas from sample documents instead of requiring teams to hand-write field definitions.
- Hosted MCP server: A hosted MCP server at mcp.reducto.ai lets agents in Claude Code, Cursor, VS Code, and Windsurf parse, extract, split, classify, and edit documents inside their own reasoning loop.
- Flexible enterprise deployment: Ships as multi-tenant cloud, customer VPC, on-premise, or fully air-gapped, backed by a SOC 2 Type II audit and signed HIPAA BAAs for regulated workloads.
Pros
- Deep Extract completed 225 of 225 documents in Reducto's own published benchmark, reporting 99.6% precision and recall.
- Enterprise deployment options (VPC, on-prem, air-gapped) meet SOC 2 Type II and HIPAA requirements, making it viable for regulated finance, legal, and healthcare document workflows.
- A free-credit allowance is available before any payment is required, enough to fully evaluate parse quality on real documents.
- The hosted MCP server lets Claude Code, Cursor, and Windsurf agents call parse, extract, and edit tools directly, with no custom integration code needed.
Cons
- It is a parsing and extraction API, not a full workflow platform: validation, routing, and downstream system integration are left to the customer.
- Growth and Enterprise tiers use custom, quote-only pricing, so volume buyers cannot see real costs without contacting sales.
- No public G2, Trustpilot, or Capterra rating was found at the time of writing, making third-party validation harder to check than for more established document-AI vendors.
Frequently Asked Questions
How much does Reducto cost in 2026?
Reducto starts free with 15,000 credits, where a standard parse costs 1 credit per page for text, layout, tables, and OCR. After the free credits are used, the Standard plan is pay-as-you-go at $0.015 per credit, with a discounted rate for batch async jobs. Growth and Enterprise move to custom, quote-only pricing and add volume discounts, zero data retention, and enterprise deployment options.
Is Reducto free to use?
Yes, every account starts with 15,000 free credits, enough for roughly 15,000 pages of standard parsing before any card is required. Beyond that, usage moves to the Standard plan's pay-as-you-go pricing. There is no perpetual free tier for Growth or Enterprise features like zero data retention or on-prem deployment.
What are the best alternatives to Reducto?
LlamaParse is a common pick for teams already building on the LlamaIndex ecosystem who want cheaper basic parsing, roughly 40% less per credit, and are comfortable composing separate extraction and workflow services. Unstructured is a strong choice when open-source, self-hosted partitioning matters more than agentic OCR correction. AWS Textract, Google Document AI, and Azure Document Intelligence remain the default for teams already committed to one cloud provider.
How does Reducto compare to LlamaParse in 2026?
Reducto positions itself as a full agentic document platform with structure-preserving parsing, integrated extraction and editing, and enterprise deployment (VPC, on-prem, air-gapped) with SOC 2 Type II and HIPAA support, while LlamaParse focuses on flexible, lower-cost parsing paired with separate tools for schema extraction and workflow automation. Teams in regulated industries with compliance requirements tend to pick Reducto; teams optimizing for cost and LlamaIndex-ecosystem fit tend to pick LlamaParse.
How do you get started with Reducto?
Sign up at studio.reducto.ai to claim your free credits and try the no-code Studio interface or the REST API directly. Developers can install the Python or Node SDK, or connect the hosted MCP server to let agents in Claude Code, Cursor, or Windsurf parse and extract documents natively. Full API docs are at docs.reducto.ai.
Top Alternatives
- Zerox: Pick Zerox if you want a free, MIT-licensed library and are comfortable paying your own vision-model API bill; pick Reducto if you want a managed, agentic OCR-correction layer with enterprise deployment and compliance built in.
- LlamaIndex: Pick LlamaIndex if you need a full open-source RAG orchestration framework with document parsing as one piece of a larger pipeline; pick Reducto if document parsing and extraction accuracy is the core problem you are solving.
- Context.dev: Pick Context.dev if your primary need is scraping websites and brand assets into markdown; pick Reducto if you are processing PDFs, scans, and enterprise documents that need structure-preserving extraction.