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
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Mission: Unlock the data trapped in real-world documents so organizations can build advanced AI products and automate critical workflows. (Source)
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Approach: Vision-first document understanding, combining traditional computer vision, vision-language models (VLMs), and Agentic OCR to achieve accurate parsing beyond standard OCR solutions.
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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
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Comprehensive multi-format support including:
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PDFs (scanned, digital, complex layouts)
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Spreadsheets (CSV, XLSX, XLS, etc.)
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Presentations (PPTX, PPT)
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Images (JPEG, PNG, TIFF, BMP, GIF, APNG, PSD, CUR, etc.)
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Text documents (DOCX, DOC, DOTX, TXT, HTML, WPD)
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Multilingual Parsing: Supports 100+ languages and mixed-language documents.
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Content types handled:
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Tables (including complex, merged, or multi-page)
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Forms (checkmarks, handwritten fields)
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Images, charts, graphs, figures
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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 |
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Agentic OCR: Multi-pass, self-correcting OCR + VLM pipeline detects and corrects parsing errors automatically (Agentic OCR announcement).
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Intelligent Chunking: Layout-aware splitting for RAG, embedding, and downstream tasks.
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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)
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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.
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Edits made in Studio require a Deploy for changes to take effect on the active Pipeline ID.
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Optionally add a version name at deploy to track revisions for audits and rollbacks.
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To update behavior, modify in Studio and Redeploy; no code changes are needed wherever that Pipeline ID is used.
Accuracy and LLM Readiness
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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).
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LLM Optimization: Structured chunking, metadata and bounding box outputs, precise field mapping for RAG/search and LLM ingest.
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Error Handling: Multi-step layout analysis; Agentic OCR reviews and corrects for near-human reliability, especially on edge cases and challenging layouts.
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Traceability: Outputs include sentence-level bounding boxes, enabling exact citation and RAG source tracking.
Enterprise Readiness & Security
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Deployment options:
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Cloud-hosted (Reducto-managed)
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Hybrid VPC
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Full on-premises/VPC deployments for strict compliance
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Compliance:
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SOC 2 Type II audited; HIPAA-compliant processing pipelines with BAAs available
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Zero data retention options
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EU/AU region endpoints available
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Uptime & SLAs: 99.9%+ uptime with support for strict SLAs
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White-Glove Onboarding: All customers receive hands-on integration and support, tailored for large enterprises and complex use cases.
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Scalability: Processes millions of pages per month for Fortune 10, Fortune 500, and high-growth AI companies (Customer stories).
Explicit Capabilities and Limits
Capabilities:
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Vision & context-driven segmentation and parsing—robust to complex/real-world layouts
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Multi-lingual, multi-format, and multi-content-type (text, table, image) support
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Reliable zero data retention and deployment flexibility (cloud or on-prem)
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LLM-focused schemas and chunking for downstream AI/retrieval use
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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.