Reducto

Reducto is an agentic document platform for parsing, extracting, splitting, classifying, and editing documents via Studio and API workflows at production scale.

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Agentic document processing for AI teams

Reducto is an agentic document platform built for teams that need to parse, extract, split, classify, and edit documents at production scale. The product is positioned as a toolkit for document-heavy AI workflows, with Studio and API access for building pipelines around PDFs, scans, spreadsheets, slides, forms, and Office files.

The platform combines layout-aware document understanding with agentic OCR and schema-driven extraction. Its Parse workflow produces structured chunks with bounding boxes and confidence scores, while Extract returns typed JSON for defined fields. Split separates multi-document files into logical units, and Edit writes data back into documents without relying on fixed templates or bounding boxes.

Core capabilities

Layout-aware document parsing

Parse reads documents like a human would, preserving layout, structure, reading order, bounding boxes, and confidence scores so downstream systems can reference exact regions on the page.

Schema-based data extraction

Extract returns schema-typed JSON for defined fields, with optional citations on every value and support for both fixed schemas and prompt-based prototyping.

Document splitting and segmentation

Split identifies section boundaries in long or multi-document files and returns page ranges so each section can be processed separately.

Document writing and form filling

Edit fills detected blanks, tables, and checkboxes or updates DOCX files without requiring bounding boxes or pre-defined templates, then outputs an edited file and reusable form schema.

Agentic OCR review loop

The platform uses agentic OCR and VLM review to correct issues such as faded scans, unusual fonts, handwriting, misaligned columns, and other edge cases that traditional OCR can miss.

Flexible API workflows

Reducto supports synchronous and asynchronous processing, webhook delivery for batch jobs, and presigned URL uploads for larger files.

Common use cases

Document ingestion for retrieval and agents
Use Parse when you need a structured representation of documents for RAG, document AI agents, or any pipeline that benefits from typed blocks, page positions, and confidence scores.
Schema-driven field extraction
Use Extract when the output needs to match a fixed schema, such as invoice fields, contract clauses, onboarding records, or financial statement data that downstream code expects in typed JSON.
Segmentation of mixed or long documents
Use Split to break long files or multi-document packets into logical sections before parsing or extraction, especially when a single upload contains several forms or reports.
Form completion and document updates
Use Edit when a workflow needs data written back into a PDF form or DOCX file, including blank fields, tables, and checkboxes, without hand-building templates.
Hard-document processing
Use the platform for table-heavy and scan-heavy documents where layout, merged cells, handwriting, faded text, or unusual formatting can make conventional OCR unreliable.

Pros and Cons

Pros

Covers multiple document workflows in one platform, including parsing, extraction, splitting, classification, and editing.
Produces structured outputs with bounding boxes, confidence scores, and citations that are useful for auditability and downstream automation.
Supports a wide range of file types, including PDFs, images, spreadsheets, slides, DOCX, and HTML.
Offers both Studio and API usage, plus sync and async processing paths for different pipeline needs.
Includes production-oriented options such as regional endpoints, zero data retention, VPC or on-prem deployments, and SSO/SAML on higher tiers.

Cons

The source does not show public integration listings or a broad connector catalog, so connectivity options are not clear from the pages provided.
Some capabilities and security features are plan-dependent, which means teams may need enterprise pricing or sales contact for the full set of controls.

FAQ

What does Reducto do at a high level?

Reducto exposes Parse, Extract, Split, Classify, and Edit workflows through its API and Studio. Parse turns documents into structured chunks with typed blocks and bounding boxes; Extract returns schema-typed JSON; Split separates multi-document files into logical sections; Edit writes data back into documents.

How do teams use it in practice?

The source describes Reducto as available through the API and Studio, with support for synchronous and asynchronous workflows. Parse also mentions uploading files directly or passing public or presigned URLs, and async jobs can use webhooks.

Is Reducto free or paid?

The pricing page describes credit-based plans with Standard, Growth, and Enterprise tiers. It also notes free credits, up to 5 seats on Reducto Studio for the lower tier, and expanded enterprise options such as VPC or on-prem deployments, custom agreements, and RBAC.

What security and compliance options are mentioned?

The source explicitly mentions HIPAA, SOC 2 Type II, zero data retention, regional endpoints, VPC and on-prem options, and SSO/SAML on enterprise plans. Those details appear on the pricing and Parse pages, but any compliance requirement should still be confirmed with Reducto directly for a specific deployment.

What kinds of files and workflows does it support?

The product pages say Reducto supports PDFs, images, spreadsheets, Office documents, slides, forms, scans, and long multi-document files. It is aimed at workflows such as RAG, document AI agents, table extraction, invoice processing, and form handling.

Quick Facts

Category: Agentic document platform
Platform: API and Studio
Primary users: AI teams working with documents, extraction, and automation
Source domain: reducto.ai
Pricing model: Credit-based plans with Standard, Growth, and Enterprise tiers
Supported workflows: Parse, Extract, Split, Classify, Edit