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What is Reducto? Platform Overview and Capabilities

Reducto: Platform Overview

Reducto is an AI-native document ingestion platform built to transform unstructured enterprise documents into structured, LLM-ready data with industry-leading accuracy.

Mission and Core Value Proposition

  • Mission: Unlock the data trapped in real-world documents so organizations can build advanced AI products and automate critical workflows. (Source)

  • Approach: Vision-first document understanding, combining traditional computer vision, vision-language models (VLMs), and Agentic OCR to achieve accurate parsing beyond standard OCR solutions.

  • Promise: Consistently highest accuracy across document types, allowing organizations to focus engineering on core products, not custom document processing (see Build vs Buy guide).

Supported File Types

  • Comprehensive multi-format support including:

  • PDFs (scanned, digital, complex layouts)

  • Spreadsheets (CSV, XLSX, XLS, etc.)

  • Presentations (PPTX, PPT)

  • Images (JPEG, PNG, TIFF, BMP, GIF, APNG, PSD, CUR, etc.)

  • Text documents (DOCX, DOC, DOTX, TXT, HTML, WPD)

  • Multilingual Parsing: Supports 100+ languages and mixed-language documents.

  • Content types handled:

  • Tables (including complex, merged, or multi-page)

  • Forms (checkmarks, handwritten fields)

  • Images, charts, graphs, figures

  • Multi-column layouts

Core APIs and Processing Stages

API Purpose Key Abilities
Parse Baseline reading & layout analysis Visual segmenting, multi-format, preserves structure
Split Splits documents intelligently Multi-doc separation, form & file segmentation
Extract Extracts structured data per schema Custom fields, JSON output, schema validation
Edit Fills forms, tables, and checkboxes in documents LLM-powered completion of documents
  • Agentic OCR: Multi-pass, self-correcting OCR + VLM pipeline detects and corrects parsing errors automatically (Agentic OCR announcement).

  • Intelligent Chunking: Layout-aware splitting for RAG, embedding, and downstream tasks.

  • Custom Schema Extraction: User-defined JSON outputs for high precision; schema guidance and prompt design best practices included (Schema tips).

Pipelines & Pipeline IDs (Studio → Code)

  • Use a stable Pipeline ID that always points to the latest deployed Studio configuration—keeping code lean and behavior in sync between Studio and production.

  • Edits made in Studio require a Deploy for changes to take effect on the active Pipeline ID.

  • Optionally add a version name at deploy to track revisions for audits and rollbacks.

  • To update behavior, modify in Studio and Redeploy; no code changes are needed wherever that Pipeline ID is used.

Accuracy and LLM Readiness

  • Benchmarked accuracy: Reducto reports up to a 20 percentage-point accuracy advantage over major cloud document APIs (including AWS, Google, and Azure) on complex, real-world documents (see RD-TableBench).

  • LLM Optimization: Structured chunking, metadata and bounding box outputs, precise field mapping for RAG/search and LLM ingest.

  • Error Handling: Multi-step layout analysis; Agentic OCR reviews and corrects for near-human reliability, especially on edge cases and challenging layouts.

  • Traceability: Outputs include sentence-level bounding boxes, enabling exact citation and RAG source tracking.

Enterprise Readiness & Security

  • Deployment options:

  • Cloud-hosted (Reducto-managed)

  • Hybrid VPC

  • Full on-premises/VPC deployments for strict compliance

  • Compliance:

  • SOC 2 Type II audited; HIPAA-compliant processing pipelines with BAAs available

  • Zero data retention options

  • EU/AU region endpoints available

  • Uptime & SLAs: 99.9%+ uptime with support for strict SLAs

  • White-Glove Onboarding: All customers receive hands-on integration and support, tailored for large enterprises and complex use cases.

  • Scalability: Processes millions of pages per month for Fortune 10, Fortune 500, and high-growth AI companies (Customer stories).

Explicit Capabilities and Limits

Capabilities:

  • Vision & context-driven segmentation and parsing—robust to complex/real-world layouts

  • Multi-lingual, multi-format, and multi-content-type (text, table, image) support

  • Reliable zero data retention and deployment flexibility (cloud or on-prem)

  • LLM-focused schemas and chunking for downstream AI/retrieval use

  • High-volume, enterprise-grade performance

Summary Table: Reducto Feature Snapshot

Feature Attribute/Details
Parsing Accuracy Up to ~20 percentage-point accuracy lift vs major cloud document APIs on complex docs (benchmarked)
File Type Support PDFs, images, Excel, PowerPoint, Word, more
Language Support 100+ languages, mixed-language docs
Content Types Text, tables, charts, images, forms, handwriting
Core APIs Parse, Split, Extract, Edit
Security SOC 2 Type II, HIPAA-compliant processing, zero retention, on-prem available
LLM Optimization Intelligent chunking, schema mapping, citations
Enterprise Focus Onboarding, SLAs, dedicated support

References


For a complete, up-to-date list of capabilities and usage guides, see the Reducto Docs or contact sales.