Reducto is a document processing platform built for AI engineering teams. It provides REST APIs and a visual workbench to parse, classify, extract, segment, and edit structured data from complex documents at enterprise scale. The platform converts unstructured files into structured JSON payloads ready for LLM and RAG applications.
Traditional OCR tools and standard language models fail on layered tables, multi-column layouts, and low-quality scans. Reducto uses a multi-pass architecture combining layout-aware computer vision with vision language models. Geometric models first identify distinct regions. Specialized VLMs then reconstruct data in context. A final agentic OCR layer corrects alignment and character errors.
Reducto Studio is the no-code visual interface for designing, testing, and versioning document pipelines. Configurations publish to a stable Pipeline ID. Non-technical operators can update extraction schemas in production without touching application code. The platform has processed over 3 billion document pages and holds SOC 2 Type II certification.
Verified customers include Harvey, Scale AI, Newfront, Vanta, Toast, and JLL. HIPAA Business Associate Agreements and Zero Data Retention options are available on Growth and Enterprise tiers. An engineering leader at a top 5 global hedge fund noted Reducto helped parse documents that were previously unusable due to table complexity.
Pricing
Reducto uses a credit-based billing model across three tiers. The Standard plan is free to start (no credit card required), includes 15,000 processing credits, and charges $0.015 per credit after that. Studio access is capped at 5 seats on this tier, and enterprise compliance features are excluded. The Growth plan offers custom volume pricing via sales, adding unlimited Studio seats, HIPAA BAA, Zero Data Retention, and EU/AU data residency endpoints. The Enterprise plan, also priced via custom contract, adds VPC, on-premise, and air-gapped deployments, RBAC, SSO via SAML, and throughput guarantees of 5,000 or more concurrent pages.
* Disclaimer: Please note that pricing information may not be up to date. For the most accurate and current pricing details, refer to the official website.
Key Features
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Agentic OCR detects and repairs handwriting, faded text, and misaligned columns in scans.
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Reducto Studio provides no-code visual pipeline design with side-by-side output review.
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Pipeline ID deployment updates production behavior without modifying application source code.
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Deep Extract runs iterative agentic validation loops until accuracy thresholds are met.
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Table Reconstruction converts nested tables and merged cells into Markdown, HTML, JSON, or CSV.
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Multilingual parsing supports over 100 languages, including mixed-language pages.
Use Cases
Invoice and Accounts Payable Automation
Accounts payable teams ingest thousands of varied vendor invoices using a single declared extraction schema. Reducto extracts metadata, tax figures, and multi-page line-item tables into typed JSON payloads. Bounding-box citations on every extracted value let human reviewers verify financial amounts against the original document.
Contract Clause Extraction at Scale
Legal operations teams isolate obligations, effective dates, governing laws, and renewal terms across bulk contract portfolios. Reducto normalizes varied formatting into structured, predictable output fields. This removes the need for engineers to write separate parsing scripts for each counterparty document format.
Patient Record Intake and Segmentation
Healthcare networks receiving scrambled, multi-document patient files deploy the Split and Classify APIs at ingestion. Using a patient ID as a partition key, Reducto separates the file into logical page ranges per encounter. Individual segments then route automatically to the correct downstream clinical systems.
Regulatory and Tax Form Completion
Operations teams automate completion of government forms such as W-9 or I-9 documents using raw database entries and plain-text instructions. The Edit API uses layout vision to place text and check boxes accurately without pre-configured coordinates or embedded PDF form fields.
Enterprise Document Ingestion for RAG Systems
AI engineers process dense corporate assets such as 10-K filings, annual reports, and investment decks for vector database storage. Reducto’s semantic chunking splits files at structural visual boundaries rather than arbitrary text lengths. This ensures downstream LLM queries retrieve complete, coherent units of meaning.
Strengths & Weaknesses
Strengths
Citation-grounded output anchors every extracted value to a page number, pixel bounding box, and source text snippet.
Vision models dynamically discover fillable fields, eliminating the need for manual bounding-box template creation.
Job ID caching allows multiple extraction or segmentation tasks to reuse a single parsed document, reducing credit consumption.
Non-technical operators can update and publish live extraction schemas through the Studio UI without developer involvement.
Overflow page handling appends extra pages automatically when form field input exceeds physical document boundaries.
Weaknesses
The /classify endpoint runs synchronously only, with no asynchronous or webhook-driven execution path available.
SSO, SAML authentication, and Role-Based Access Control are unavailable on both Standard and Growth tiers.
EU and AU regional data residency endpoints are locked behind Growth and Enterprise tier subscriptions.
Studio collaboration is capped at 5 seats for teams on the Standard pay-as-you-go plan.
Who Is This For?
AI Engineering Teams: Teams building RAG pipelines or automated AI agents that must ingest unpredictable, unstructured corporate documents without writing and maintaining template-specific parsing code.
Product and Operations Managers: Operators who update extraction schemas frequently and need a visual workspace to test pipeline outputs and ship changes to production without developer support.
Financial and Corporate Analysts: Professionals processing SEC filings, earnings decks, and transaction ledgers where preserving exact multi-page table structures is required for accurate analysis.
Healthcare and Insurance Providers: Organizations ingesting patient records and insurance claim packets that require HIPAA BAA, strict data residency controls, and citation-level extraction verification.
Frequently Asked Questions
What counts as a credit in Reducto’s billing model?
Credits are consumed per API call or Studio run. Each deduction depends on the endpoint used (parse, extract, split, edit, or classify), the processing options enabled, and the total page count of the document. There is no flat per-document fee.
Does Reducto handle handwritten text and non-English documents?
Yes. The Agentic OCR feature uses vision language models to read and correct handwritten entries, faded text, and atypical fonts. The platform supports over 100 languages and can process documents that mix multiple languages on a single page.
How does Reducto Studio connect to the developer API?
Studio runs on the same infrastructure as the direct REST API. After testing and configuring a pipeline visually, users publish the configuration to generate a stable Pipeline ID. That ID is then called programmatically from any application without further code changes.
What is the difference between the Extract API and Deep Extract?
The standard Extract API runs an LLM pass over a parsed document to pull values matching a defined schema. Deep Extract is an agentic loop designed for long documents with thousands of rows. It extracts, verifies, and re-extracts data repeatedly until accuracy thresholds are met.
Can I run multiple operations on a document without paying to parse it each time?
Yes. Reducto supports job ID caching via the jobid:// syntax. Passing a prior job ID into a new extraction or split call reuses the initial parse, skips duplicate ingestion fees, and speeds up processing.
Is Reducto compliant with HIPAA and enterprise data privacy requirements?
Reducto is SOC 2 Type II certified. HIPAA Business Associate Agreements (BAA) and Zero Data Retention agreements are available, but only on the Growth and Enterprise tiers. These controls are not included in the Standard plan.
What is the concurrent page throughput limit on the Standard plan?
The Standard plan includes a baseline throughput guarantee of 2,000 concurrent pages. Growth tier teams receive a 3,500-page guarantee, and Enterprise deployments are guaranteed 5,000 or more concurrent pages with custom rate limits.
What file formats does Reducto support?
The Standard plan supports over 30 file formats with no maximum page size limits. The source material does not enumerate every supported format by name, but the platform explicitly handles PDFs, images, spreadsheets, DOCX files, and scanned documents.
Does Reducto offer on-premise or air-gapped deployment?
Yes, but exclusively on the Enterprise tier. On-premise, Virtual Private Cloud (VPC), and air-gapped infrastructure deployments are not available on Standard or Growth plans. Enterprise also includes a custom Master Services Agreement and tailored SLAs.
Can operations staff update extraction schemas without developer involvement?
Yes. Reducto Studio allows non-technical users to adjust field definitions, test outputs visually, and re-publish pipelines. The production application adopts the updated configuration on its next API call without requiring any code changes from a developer.
Reducto provides REST API access and developer SDKs for embedding parsing, extraction, classification, splitting, and editing directly into external applications. Custom webhooks deliver asynchronous processing results to external server endpoints on job completion. Enterprise teams can deploy the full Reducto extraction engine within VPC, on-premise, or air-gapped environments. No native third-party SaaS platform connectors (such as Zapier, Make, or dedicated CRM integrations) are listed in the publicly available source material.