# Reducto — Full Overview for LLMs

> Reducto is the complete agentic document platform for leading AI teams that need performance at enterprise scale. Document work starts here: the most accurate document processing available — parsing, extraction, splitting, and classification — plus document editing, workflows, and agent-ready tooling, in one platform.

This file is the extended companion to https://reducto.ai/llms.txt. For complete, always-current API documentation, prefer https://docs.reducto.ai/llms.txt — every docs page there is available as raw Markdown by appending `.md` to its URL.

## Overview

Reducto provides a comprehensive toolkit for working with documents the way a human would, combining custom in-house models with leading frontier models to power efficient, accurate document workflows. It is used by AI-native companies and document-heavy enterprises — teams at Harvey, Scale AI, Vanta, and organizations up to Fortune 10 scale. Over 5 billion pages processed and counting.

Three things define the platform:

1. **Performance for you** — zero-shot accuracy on complex documents where other solutions aren't production ready, with automatic routing across 12+ orchestrated models to balance accuracy, latency, and throughput. Handles the long tail — tables, charts, figures, handwriting, scans — without templates or retraining. Deep Extract achieves 99% recall and precision on micro1's LongExtractionBench.
2. **Enterprise readiness** — deployable anywhere (hosted, VPC, on-premises, air-gapped), SOC 2 and HIPAA compliant with zero data retention agreements on the Growth tier and above, autoscaling for bursty workloads, white-glove support, and custom SLAs.
3. **Complete toolkit** — every document task in one platform: parse, split, extract, classify, and edit across 30+ file types, from raw file ingestion through agent-ready outputs and workflow orchestration.

**Get started free:** sign up at https://studio.reducto.ai/ for 15,000 free credits. AI agents can begin with the Agent skill at https://reducto.ai/SKILL.md, then connect through the MCP server or CLI.

## Products

- Parse — the ingestion layer: PDFs, scans, spreadsheets, and slides into structured, citation-ready JSON. https://reducto.ai/parse · https://docs.reducto.ai/api-reference/parse.md · choosing a parser: https://reducto.ai/guides/best-document-parsers-rag
- Split — the segmentation layer: describe sections in plain language, get page ranges back. https://reducto.ai/split · https://docs.reducto.ai/api-reference/split.md · segmentation in a full pipeline: https://reducto.ai/guides/intelligent-document-processing
- Extract — the extraction layer: typed JSON with a citation and bounding box on every value. https://reducto.ai/extract · https://docs.reducto.ai/api-reference/extract.md · comparing extraction tools: https://reducto.ai/guides/best-ai-data-extraction-tools-unstructured-documents
- Classify — the routing layer: plain-language taxonomy, best match plus per-criterion confidence. https://reducto.ai/classify · https://docs.reducto.ai/api-reference/classify.md · comparing classification platforms: https://reducto.ai/guides/best-document-classification-software-2026
- Edit — closes the loop: write extracted data back into finished PDF and DOCX files. https://reducto.ai/edit · https://docs.reducto.ai/api-reference/edit.md · workflow architecture: https://reducto.ai/guides/document-workflow-automation
- Studio — the no-code workspace, same engine as the API, included with every plan. https://reducto.ai/studio · https://studio.reducto.ai/ · evaluating platforms: https://reducto.ai/guides/idp-enterprise-evaluation

## Developer Tools

- Agent skill: self-contained setup instructions for AI agents, including API usage, CLI, and MCP server instructions. https://reducto.ai/SKILL.md
- Agent skills discovery index: https://reducto.ai/.well-known/agent-skills/index.json
- Agent card: Machine-readable agent card for Reducto's MCP and REST API interface. https://reducto.ai/.well-known/agent-card.json
- Agent discovery: Discovery metadata linking Reducto's agent card, skill, and MCP endpoint. https://reducto.ai/.well-known/agents.json
- MCP discovery: Machine-readable MCP endpoint, authentication, and server-card metadata. https://reducto.ai/.well-known/mcp.json
- Web MCP discovery: Machine-readable Web MCP endpoint and server-card metadata. https://reducto.ai/.well-known/webmcp.json
- MCP server cards: Index of Reducto's hosted MCP server cards. https://reducto.ai/.well-known/mcp/server-cards.json
- MCP server: hosted at https://mcp.reducto.ai/mcp (Bearer API key) or local via `uvx mcp-server-reducto` — guide at https://docs.reducto.ai/mcp-server, server cards at https://reducto.ai/.well-known/ai-catalog.json
- CLI: `pip install reducto-cli` — parse, extract, split, classify, and edit from the terminal. https://docs.reducto.ai/cli
- Agent integration guide: https://docs.reducto.ai/agent-guide.md · SDKs (Python, Node): https://docs.reducto.ai
- OpenAPI specification: https://reducto.ai/openapi.json

## Pricing, Security, Industries

- Pricing: per-product Standard / Growth / Enterprise plans. Standard includes 15,000 free credits; Growth adds custom volume pricing with security and compliance features; Enterprise adds custom pricing with VPC, on-premises, and air-gapped deployment. r-1 Parse starts at $10 per 1,000 pages, and Extract starts at $20 per 1,000 pages with parsing included — https://reducto.ai/pricing
- Security: SOC 2, HIPAA (BAAs on Growth+), zero data retention agreements (Growth+), deploy hosted/VPC/on-prem/air-gapped — https://docs.reducto.ai/security/policies
- Industries: finance, healthcare, legal, insurance, government, construction, logistics — https://reducto.ai/industries · case studies at https://reducto.ai/customers

## Comparisons

Honest tool-by-tool comparisons — accuracy, deployment, tooling, pricing, and when each option fits. Hub at https://reducto.ai/compare. Benchmark evidence behind these comparisons: https://reducto.ai/guides/document-ai-benchmark-ocr-parsing-extraction.

- [Reducto vs LlamaParse](https://reducto.ai/compare/reducto-vs-llamaparse): Compare two document AI platforms across extraction evidence, citations, agent tooling, deployment, ecosystem fit, and pricing.
- [Reducto vs Unstructured](https://reducto.ai/compare/reducto-vs-unstructured): A managed agentic document platform with measured accuracy vs an open-source document parsing and ETL library for LLM pipelines.
- [Reducto vs AWS Textract](https://reducto.ai/compare/reducto-vs-aws-textract): A complete agentic document platform that can run in your own VPC vs a cloud OCR primitive inside the AWS ecosystem.
- [Reducto vs Azure Document Intelligence](https://reducto.ai/compare/reducto-vs-azure-document-intelligence): A zero-shot agentic document platform with the full toolkit in one API vs a cloud OCR service with prebuilt and custom-trained models.
- [Reducto vs Google Document AI](https://reducto.ai/compare/reducto-vs-google-document-ai): A zero-shot agentic document platform that deploys anywhere vs cloud OCR processors you configure per document type.
- [Reducto vs Gemini](https://reducto.ai/compare/reducto-vs-gemini): An agentic document platform that combines purpose-built document models with a production pipeline vs a general-purpose frontier LLM used raw for document work.
- [Reducto vs Extend](https://reducto.ai/compare/reducto-vs-extend): A complete agentic document platform with benchmark-leading extraction and flexible deployment vs a managed document workflow product.
- [Reducto vs Pulse](https://reducto.ai/compare/reducto-vs-pulse): A complete agentic document platform proven at enterprise scale vs a focused document parser with a financial-documents emphasis.
- [Reducto vs Datalab](https://reducto.ai/compare/reducto-vs-datalab): A complete agentic document platform proven at enterprise scale vs the research-driven vendor behind the open-source Marker and Surya models.
- [Reducto vs ABBYY](https://reducto.ai/compare/reducto-vs-abbyy): An AI-native agentic document platform with zero-shot accuracy vs decades-old enterprise OCR with template-based capture.

## Blog

Technical articles, case studies, and product announcements. This is an index — fetch each URL for the full article.

- [How Drata Turns Customer Evidence into AI-Powered Compliance Decisions with Reducto](https://reducto.ai/blog/reducto-drata-customer-story): Drata uses Reducto to power document understanding across its compliance AI workflows, replacing manual questionnaire intake and enabling automated answer writeback.
- [Reducto Announces New York City Expansion](https://reducto.ai/blog/reducto-new-york-city-expansion): Bringing our team closer to the enterprises putting document intelligence into production.
- [How Finch Legal Uses Reducto to Help Paralegals Manage 5x More Personal Injury Cases](https://reducto.ai/blog/reducto-finch-legal-customer-story): See how Finch Legal uses Reducto to turn every inbound document into structured, cited data, helping its paralegals manage 5x more personal injury cases.
- [Introducing r-1 and our new generation of document parsing models](https://reducto.ai/blog/parse-r-1-model) (2026-09-01): Reducto's Agentic OCR already leads the industry on accuracy. With r-1, we're making the best even better.
- [Introducing simpler, more transparent pricing at Reducto](https://reducto.ai/blog/reducto-simple-transparent-document-processing-pricing) (2026-08-25): We’re simplifying Reducto’s pricing to make costs easier to understand and forecast—and to pass model efficiency gains more directly into better rates for customers.
- [The Document Is the Database: How Vector Legal Is Building an AI-Native Law Firm with Reducto](https://reducto.ai/blog/reducto-vector-legal-ai-customer-story) (2026-08-14): Vector Legal processes thousands of documents each month, using Reducto’s Parse and Extract to turn complex legal files into structured data for VectorOS.
- [Built to Scale: How Doe Automated Over 8 Million Agent Tasks with Reducto](https://reducto.ai/blog/reducto-doe-ai-agent-customer-story) (2026-07-21): Doe has completed over 8 million tasks for customers through its AI agent command center, using Reducto to handle complex document work at scale.
- [Deep Extract vs. Frontier Models vs. Humans: The Real Tradeoffs for Long Structured Extraction](https://reducto.ai/blog/reducto-deep-extract-mode-vs-frontier-models-vs-humans) (2026-07-20): Deep Extract trades a higher cost for near perfect accuracy on long, high stakes documents, compared with the manual review process most teams still rely on.
- [Reducto Deep Extract Leads Benchmark on Complex Document Extraction](https://reducto.ai/blog/reducto-leads-benchmark-complex-document-extraction) (2026-06-30): micro1 released an independent benchmark evaluating document extraction systems on difficult, high-field-count workloads. Reducto Deep Extract ranked first overall.
- [Reducto Raises Frontier Model Accuracy on GDP.pdf](https://reducto.ai/blog/reducto-raises-frontier-model-accuracy) (2026-06-16): Frontier models score under 30% on GDP.pdf, a benchmark of 100 real professional documents. We ran the same tasks with Reducto's structured parse added: macro accuracy jumped 9pp, reasoning tokens dropped 13%, and answers arrived faster despite 82% more input.
- [What is an Agentic Document Platform?](https://reducto.ai/blog/reducto-what-is-an-agentic-document-platform) (2026-06-11): Learn about what makes an agentic document platform, and how it differentiates from previous IDP and OCR solutions.
- [Parsing the 10-K: why financial filings defeat standard PDF pipelines](https://reducto.ai/blog/10k-document) (2026-06-08): Most financial RAG pipelines fail before the model ever runs. Here's where the parser loses the structure and what it takes to get it back.
- [Build your first document workflow with Reducto](https://reducto.ai/blog/build-document-feature-with-reducto) (2026-06-08): Building a document feature or integrating Reducto into your existing document workflow should be quick and easy. We'll show you how.
- [Deep Split: Utilizing Agent Harnesses for Accuracy at Scale](https://reducto.ai/blog/reducto-deep-split-agent) (2026-06-03): We're introducing a new version of split for longer documents and workflows with large numbers of categories.
- [Announcing Reducto’s Classify Endpoint: Route Documents Before Processing](https://reducto.ai/blog/reducto-classify-endpoint-api) (2026-05-21): Learn about Reducto's new Classification endpoint, which helps categorize documents in a fast and lightweight way before downstream document work.
- [Reducto acquires Opennote](https://reducto.ai/blog/reducto-acquires-opennote) (2026-05-07): We're announcing our acquisition of Opennote, the AI notebook that helps students understand, organize, and practice from their notes.
- [Introducing Smart Schema](https://reducto.ai/blog/reducto-smart-schema-extract-optimization) (2026-04-28): Accurate extraction starts with your schema. Today, we're introducing Smart Schema in our Studio experience to help teams autonomously create contextually aware schemas and improve them automatically.
- [How Harvey Turned OCR Quality Into Customer Confidence with Reducto](https://reducto.ai/blog/reducto-harvey-legal-ai-customer-story) (2026-04-07): Read how Harvey partners with Reducto to upgrade its document processing capabilities, going from evaluation to full production in roughly six weeks while improving accuracy across complex legal documents like handwritten notes, redlines, and image-based files.
- [Introducing Deep Extract](https://reducto.ai/blog/reducto-deep-extract-agent) (2026-04-06): We're releasing our most powerful update to structured extraction yet with Deep Extract.
- [How Vanta is Building AI-Native Compliance with Reducto](https://reducto.ai/blog/vanta-reducto-case-study) (2026-02-20): Learn how Vanta's AI team utilize Reducto to power their AI-native compliance workflows, including questionnaire automation and evidence evaluation.
- [Reducto Is Now Available on AWS Marketplace](https://reducto.ai/blog/aws-marketplace-reducto) (2026-02-06): Reducto is now available on AWS Marketplace, enabling enterprises to purchase the leading AI document intelligence platform using their committed AWS spend.
- [Scaling Beyond Annotation: How Reducto Powers Scale AI’s Agentic Expansion](https://reducto.ai/blog/scale-ai-reducto-case-study) (2025-12-15): See how Scale's Public Sector and Enterprise teams use Reducto to power their new agentic workflows with high precision, security, and scale.
- [How Reducto is building SOTA chart extractions](https://reducto.ai/blog/reducto-chart-extraction) (2025-12-03): Our approach to developing a new chart extraction method, returning near pixel-perfect data accuracy for complex line graphs, bar graphs, and more.
- [August’s Competitive Edge: Legal AI Built on Reducto](https://reducto.ai/blog/august-law-case-study) (2025-11-24): August delivers attorney-ready legal workflows by pairing its agentic platform with Reducto’s high-fidelity document understanding, enabling accurate, traceable work products even from the hardest-to-parse documents.
- [How LEA Uses Reducto to Deliver Document Intelligence to Enterprise Wealth Management Firms](https://reducto.ai/blog/lea-reducto-case-study) (2025-11-11): LEA uses Reducto’s secure document AI to automatically organize, extract, and pipe data from thousands of complex financial documents—helping $10B+ RIAs scale operations, cut manual data entry in half, and grow without adding headcount.
- [Reducto Announces $108M in Funding to Define the Future of AI Document Intelligence](https://reducto.ai/blog/reducto-series-b-funding) (2025-10-14): We're announcing $108M in total funding following a new $75M Series B led by a16z. See what we've learned and our plans for the future.
- [How we did a database migration without logical replication - with zero downtime](https://reducto.ai/blog/reducto-database-migration-zero-downtime) (2025-09-18): Database migrations are tough - here's how we did it using Pgdog and database mirroring.
- [How Elysian uses Reducto to Review Insurance Claims 16x Faster](https://reducto.ai/blog/reducto-elysian-case-study) (2025-09-04): Read about how Elysian utilizes Reducto to process insurance claims of all shapes and sizes, resulting in a 16x faster audit process compared to traditional methods.
- [Enterprise RAG at scale: search techniques for million-document databases](https://reducto.ai/blog/reducto-ingestion-rag-enterprise-scale) (2025-08-26): How to build reliable retrieval systems on top of Reducto’s parsing and chunking pipelines—so your enterprise AI can handle massive unstructured document ingestion with accuracy.
- [Streamlining Document Processing with Reducto and Databricks](https://reducto.ai/blog/streamline-document-processing-reducto-databricks) (2025-06-26): How to unlock your unstructured data with Reducto, with Databricks.
- [How Gumloop Enables Anyone to Make AI Workflows with Reducto](https://reducto.ai/blog/gumloop-case-study) (2025-06-24): Read how Reducto powers Gumloop's AI automation of enterprise workflows, allowing non-technical teams at Instacart and Webflow to rapidly scale AI adoption.
- [How Benchmark uses Reducto to Build the First-Party Data Engine for $1 Trillion in Assets](https://reducto.ai/blog/benchmark-case-study) (2025-06-18): Benchmark is an AI-native investment platform used by firms managing ~$1T in assets under management, including some of the world’s top financial institutions. See how they utilize Reducto in some of their most important features, such as Document Builder.
- [How to use Reducto parsing with Elasticsearch for Semantic Search](https://reducto.ai/blog/how-to-reducto-parsing-elasticsearch-semantic-search) (2025-06-05): Demonstrating how Reducto's document processing API can be integrated with Elasticsearch for semantic search.
- [How Anterior Accelerates Prior Authorization and Clinical Decision-Making with 99%+ Accuracy with Reducto](https://reducto.ai/blog/anterior-case-study) (2025-06-05): Learn how Anterior accelerates prior authorizations with 99%+ precision using Reducto’s document ingestion engine—turning unstructured medical records into real-time decisions.
- [Automating Enterprise Workflows at Scale with Stack AI and Reducto](https://reducto.ai/blog/reducto-stack-ai-case-study) (2025-05-29): Learn how Stack AI customers have processed over 5M+ documents using Reducto in their enterprise automation workflows.
- [How to Use AI to Extract Data from Claim Submissions at Scale](https://reducto.ai/blog/extract-api-health-insurance-claims) (2025-05-09): Health insurance is a unique space that can benefit greatly from LLMs and proper document ingestion at scale - use AI to help automate extracting important data with accuracy.
- [Reducto raises $24.5M Series A to help enterprises unlock unstructured data](https://reducto.ai/blog/reducto-series-a-funding) (2025-04-25): We raised a $24.5M Series A led by Benchmark to help enterprises turn unstructured data into accurate, LLM-ready inputs—at scale. Read more on what we've built and where we're headed next.
- [Extraction Trouble? Here Are 5 Pitfalls to Avoid when Configuring Your JSON Schema](https://reducto.ai/blog/document-ai-extraction-schema-tips) (2025-04-16): If your extraction outputs aren't as expected, troubleshoot first by checking if you're making any of these 5 mistakes. A good quality schema will lead to a good quality output!
- [Build vs. Buy for Document Processing: How to Choose the Right Approach for Your AI Infra](https://reducto.ai/blog/build-vs-buy-ai-document-ingestion) (2025-04-15): If you're deciding whether to build your own document processing pipeline in house or buy with a vendor, this guide highlights some of the tradeoffs and why Reducto might be a good fit.
- [Introducing RolmOCR: A Faster, Lighter Open Source Document Model Built on olmOCR](https://reducto.ai/blog/introducing-rolmocr-open-source-ocr-model) (2025-04-03): We're excited to release RolmOCR, a drop-in alternative to olmOCR with a newer base model and other performance improvements.
- [Mistral OCR vs. Gemini Flash 2.0: Comparing VLM OCR Accuracy](https://reducto.ai/blog/lvm-ocr-accuracy-mistral-gemini) (2025-03-06): We benchmarked Mistral AI vs. Gemini Flash 2.0 to assess the accuracy of their OCR models after release. The results are intriguing as they don't appear to align with what was posted on Mistral's blog.
- [How We Started Working With Fortune 10 Enterprises](https://reducto.ai/blog/reducto-enterprise-sales) (2025-01-13): A behind the scenes look of how Reducto started powering ingestion for one of the world's largest companies.
- [State-of-the-art table parsing](https://reducto.ai/blog/sota-table-parsing) (2024-11-04): See how leading PDF parsers handle complex tables in RD-TableBench, an open benchmark of 1,000 hand-labeled examples covering merged cells, dense text, and irregular structures.
- [Announcing RD-TableBench: An Open-Source Table Benchmark](https://reducto.ai/blog/rd-tablebench) (2024-11-04): We released a new comprehensive open benchmark for table parsing.
- [Reducto raises $8.4 million to help LLMs read documents the way humans do](https://reducto.ai/blog/seed-round) (2024-10-02): Reducto now powers ingestion pipelines for some of the world's leading AI companies, and we're excited to share we've raised $8.4M in funding led by First Round to further our mission of making human data LLM-ready.
- [Introducing Reducto's Document API](https://reducto.ai/blog/document-api) (2024-02-27): We've spent the last few months building a powerful document ingestion for LLM workflows. We're excited to share more about what we've built.
- [The Real Cost of Manual Document Processing](https://reducto.ai/blog/the-real-cost-of-manual-document-processing) (2024-01-19): Explore the hidden costs of manual document processing, from time inefficiencies to error rates. Learn how Reducto's AI-driven solution can streamline these processes, saving businesses significant time and resources.

## Cookbooks

Templates and recipes for building with Reducto. This is an index — fetch each URL for the full recipe.

- [CP2000 Notice Processing: Reconcile Payer and Tax-Return Income](https://reducto.ai/cookbooks/cp2000-income-evidence-workpaper): Extract CP2000 notice items and payer records, reconcile payer-level reported income, and preserve the response date for a reviewed tax response.
- [Carbon Project Document Extraction: Reconcile Verification Totals](https://reducto.ai/cookbooks/carbon-project-evidence-reconciliation): Extract carbon monitoring and verification quantities, align project and metric scope, and preserve differences for a documented adjustment review.
- [Hospital Financial Assistance: Reconcile Declared and Documented Income](https://reducto.ai/cookbooks/hospital-financial-assistance-packet): Extract hospital financial-assistance income records, check case and gross-or-net basis, and reconcile reviewed annualized evidence with declarations.
- [Construction Submittal Review: Check Revisions and Approval Records](https://reducto.ai/cookbooks/construction-submittal-revision-check): Extract construction submittal identifiers, revisions, and approval dispositions, then compare them with the reviewed procurement requirement.
- [Festival Artist Invoice Reconciliation: Check Guarantee Balances](https://reducto.ai/cookbooks/festival-guarantee-payout): Extract festival guarantees, paid deposits, and reviewed deductions, then recalculate the remaining artist balance and compare it with the invoice.
- [Warehouse Pickup Verification: Reconcile Dispatch and Vehicle Changes](https://reducto.ai/cookbooks/warehouse-pickup-document-check): Extract pickup, dispatch, and vehicle-change records, then check shipment identity and field-specific authorization before warehouse release review.
- [Event Evidence Checks: Verify Duration and Witness Records](https://reducto.ai/cookbooks/rulebook-evidence-checklist): Extract event timestamps and witness statements, then compare duration and distinct evidence counts with reviewed verification requirements.
- [Clean Energy Payroll Review: Reconcile Cash Wages and Fringe Benefits](https://reducto.ai/cookbooks/clean-energy-wage-evidence): Extract clean energy payroll wages, fringe amounts, and hours, then compare them with reviewed project requirements and calculate a scoped shortfall.
- [Legal Memo Review: Verify Rubric Coverage and Source Quotations](https://reducto.ai/cookbooks/legal-memo-review-coverage): Extract legal memo assessment records, verify coverage of an approved rubric, and check that each recorded quotation appears in the memo text.
- [Legal Due Diligence: Reconcile Loan Schedules with Lender Statements](https://reducto.ai/cookbooks/legal-diligence-balance-workpaper): Extract loan disclosure and lender-statement balances, then compare the instrument, as-of date, currency, and principal basis for due diligence.
- [Customs Document Extraction: Reconcile Origin and Metal-Content Weights](https://reducto.ai/cookbooks/shipment-origin-and-metal-evidence): Extract shipment origin and metal-content evidence, match invoice items, and check declared origins and metal weights without merging country fields.
- [Interconnection Study Extraction: Reconcile Upgrade Cost Allocations](https://reducto.ai/cookbooks/interconnection-cost-allocation): Extract interconnection upgrade tables with Reducto, then reconcile study revisions, project shares, allocated costs, and the complete dollar total.
- [Concert Settlement Reconciliation: Check Guarantees and Revenue Shares](https://reducto.ai/cookbooks/concert-settlement-workpaper): Extract concert deal and settlement figures, then reconcile guarantees, permitted expenses, advances, and net revenue shares with a stated formula.
- [Residual Payment Reconciliation: Match Usage Events to Contract Rates](https://reducto.ai/cookbooks/residual-payment-workpaper): Extract contract rates and usage events with Reducto, detect duplicate uses, and reconcile a flat-per-use residual calculation with proposed payment.
- [Immigration Document Extraction: Reconcile Identity and Arrival Records](https://reducto.ai/cookbooks/immigration-packet-consistency): Extract names, birth dates, and arrival dates from immigration application records, then generate source-linked discrepancies for packet review.
- [Disaster Reimbursement: Reconcile Invoices and Payment Evidence](https://reducto.ai/cookbooks/disaster-reimbursement-evidence): Reconcile disaster reimbursement requests with invoice totals and allocated payment evidence, preserving project identifiers and source amounts.
- [Coffee Supply Chain Traceability: Link Invoices to Producer Plots](https://reducto.ai/cookbooks/coffee-lot-traceability): Link coffee invoices to producer-plot schedules with Reducto and check lot identifiers, declared origins, and geographic evidence references.
- [Aerospace Certificate of Conformance Checks for Receiving Inspection](https://reducto.ai/cookbooks/aerospace-receiving-certificates): Extract aerospace receiving certificates and compare part numbers, lots, revisions, and approved processors with purchase-order requirements.
- [Find Missing Tender Requirements in Bidder Evidence Indexes](https://reducto.ai/cookbooks/tender-evidence-checklist): Extract tender requirements and bidder evidence indexes, detect missing mandatory mappings or unknown IDs, and prepare cited procurement review tasks.
- [Match Temporary Import Manifests with Carnet Equipment Lists](https://reducto.ai/cookbooks/temporary-import-equipment-ledger): Extract serial-numbered equipment from temporary import manifests and carnet lists, then detect missing, swapped, or duplicated shipment items.
- [Convert Handwritten Exam Responses into Question-Level JSON](https://reducto.ai/cookbooks/handwritten-response-extraction): Extract handwritten exam responses into question-level JSON, preserve equations, and detect missing or duplicate answer parts before human grading.
- [Compare Employment Verification Letters with Declared Work History](https://reducto.ai/cookbooks/employment-record-consistency): Compare employment verification letters with declared work history, preserve exact source dates, and flag mismatched periods for screening review.
- [Reconcile Scholarship Award Letters with Financial Aid Ledgers](https://reducto.ai/cookbooks/student-aid-award-reconciliation): Extract scholarship award letters and reconcile student, academic year, and amounts against aid ledgers, flagging duplicates and missing awards.
- [Reconcile Housing Income Declarations with Pay and Benefit Records](https://reducto.ai/cookbooks/housing-income-workpaper): Extract recurring income from pay and benefit records, annualize gross amounts, and compare housing income declarations without double-counting.
- [Reconcile Scouting Measurements Across Player Reports](https://reducto.ai/cookbooks/scouting-measurement-reconciliation): Extract objective measurements from scouting reports and testing sheets, match player and event details, and surface cited discrepancies for review.
- [Reconcile Payroll Exposure in Contractor Insurance Submissions](https://reducto.ai/cookbooks/contractor-liability-submission): Extract contractor liability application and payroll schedule data, reconcile exposure totals, and flag mismatched periods or duplicate classes.
- [Reconcile Acquisition Loan Sources and Uses with the Purchase Agreement](https://reducto.ai/cookbooks/sba-acquisition-loan-intake): Extract acquisition agreement and financing schedule amounts, compare purchase prices, and detect duplicate lines or funding gaps with citations.
- [Convert Handwritten Registers into Searchable JSON Records](https://reducto.ai/cookbooks/historical-handwriting-records): Convert handwritten register entries into structured JSON while preserving source names, dates, and places for search and transcription review.
- [Match Commercial Invoice and Packing List Quantities](https://reducto.ai/cookbooks/customs-shipment-reconciliation): Extract item quantities from commercial invoices and packing lists, match shipment IDs and SKUs, and flag missing lines or unit differences.
- [Extract Prior Authorization Denial Reasons and Response Deadlines](https://reducto.ai/cookbooks/authorization-denial-document-review): Extract denial reasons and response deadlines, match the notice to its authorization request, and create a cited brief for appeal preparation.
- [Handwritten Legal Intake: Extract an Attributed Case Chronology](https://reducto.ai/cookbooks/handwritten-legal-intake-chronology): Extract attributed events from handwritten legal intake letters, preserve uncertain dates and source quotations, and prepare a chronology for review.
- [Sports Transfer Fee Reconciliation: Check Installment Payments](https://reducto.ai/cookbooks/transfer-installment-reconciliation): Extract sports transfer installments and settlement records, match counterparties, and compare recorded payment amounts and dates with the agreement.
- [Schedule-Change Premium Reconciliation: Match Approved Events to Payroll](https://reducto.ai/cookbooks/schedule-change-payroll-reconciliation): Extract approved schedule-change premiums and payroll records, then reconcile event coverage and paid amounts for the same employee and pay period.
- [Warranty Claim Processing: Check Labor Hours by Repair Operation](https://reducto.ai/cookbooks/warranty-labor-claim-review): Compare claimed labor hours with a selected guide, match operation and vehicle model/year, and surface cited quantity discrepancies for review.
- [Grant Matching Funds: Reconcile Awards and Contribution Records](https://reducto.ai/cookbooks/grant-matching-funds-workpaper): Extract grant award and contribution records, identify duplicated contributions, and reconcile documented matching funds with the approved requirement.
- [Inspection Report Extraction: Track Corrective-Action Evidence](https://reducto.ai/cookbooks/inspection-corrective-action-closeout): Extract inspection findings and corrective-action responses, then check finding coverage, stated completion, and linked evidence for closeout review.
- [Aircraft Lease Redelivery: Check Serialized Component Life Records](https://reducto.ai/cookbooks/aircraft-lease-redelivery-records): Extract serialized component life records for aircraft lease redelivery and compare documented remaining cycles with a reviewed return requirement.
- [Packaging Quality Data Extraction: Compare Inspections Across Sites](https://reducto.ai/cookbooks/packaging-lot-quality-register): Extract packaging inspection results across receiving sites, join the supplier lot and specification, and list measurements outside the allowed range.
- [NIL Contract Extraction: Reconcile Agreement Terms with Disclosures](https://reducto.ai/cookbooks/nil-contract-disclosure-review): Extract NIL agreement terms and disclosure fields, then compare parties, dates, and cash compensation while preserving the source of each value.
- [Construction Pay Application Reconciliation: Verify the Current Amount Due](https://reducto.ai/cookbooks/construction-progress-payment): Extract construction pay application totals and recalculate current amounts due from earned work, stored materials, retainage, and prior certificates.
- [Home Health Referral Processing: Reconcile Services and Signed Orders](https://reducto.ai/cookbooks/home-health-referral-readiness): Extract home health referral and order fields, then compare patient references, services, visible signatures, and timing before intake review.
- [Crew Credential Checks: Compare Certificate Validity with Assignment Dates](https://reducto.ai/cookbooks/crew-credential-document-check): Extract crew credential dates and compare them with assignment windows and reviewed document requirements to find expiry gaps or missing records.
- [SOC 2 Report Extraction: Build a Vendor Exception Register](https://reducto.ai/cookbooks/soc2-exception-register): Extract selected SOC 2 control results, preserve auditor exceptions and untested procedures, and check report scope against a reviewed checklist.
- [Textile Lab Report Extraction: Compare Results with Product Specifications](https://reducto.ai/cookbooks/textile-lab-test-review): Extract fabric test results from textile lab reports and compare style, lot, method, direction, units, and signed values with product specifications.
- [Handwriting OCR for Equipment Logs: Extract Timestamped Readings](https://reducto.ai/cookbooks/handwritten-equipment-logs): Turn handwritten equipment logs into timestamped readings with Reducto, then check equipment tags, units, duplicate times, and monitoring ranges.
- [Art Loan Insurance Review: Check Coverage Dates and Scheduled Values](https://reducto.ai/cookbooks/museum-loan-insurance-review): Extract art loan agreements and insurance schedules, then check that coverage dates and scheduled values match the requirements for each object.
- [FDA Form 483 Extraction: Build a Supplier Observation Register](https://reducto.ai/cookbooks/supplier-regulatory-observations): Extract FDA Form 483 observations into a supplier register, match the correct facility and inspection, and identify records needing review.
- [Clinical Research Data Extraction: Align Study Results for Comparison](https://reducto.ai/cookbooks/research-claim-comparison): Extract study populations, endpoints, timepoints, and effect estimates with Reducto, then align research results before comparing their values.
- [Mortgage Closing Document Checks: Reconcile Loan Amounts and Borrower Names](https://reducto.ai/cookbooks/mortgage-closing-package-qc): Extract loan and borrower fields from mortgage closing documents, then reconcile note principal, disclosed amounts, and gross loan proceeds.
- [International Athlete Registration: Reconcile Identity Documents](https://reducto.ai/cookbooks/international-registration-packet): Use Reducto to compare names and birth dates across athlete registration and identity documents while preserving source-language evidence.
- [Engineering Interface Documents: Compare Revisions, Units, and Tolerances](https://reducto.ai/cookbooks/engineering-interface-reconciliation): Extract interface nominal values, tolerances, and governing references, then compare full tolerance intervals against a selected baseline in Python.
- [Chargeback Evidence Extraction: Reconcile Receipts and Delivery Records](https://reducto.ai/cookbooks/chargeback-evidence-preflight): Extract chargeback receipts and delivery records with Reducto, then compare order references, amounts, currency, and shipping addresses with citations.
- [Check Auto Finance Deal Jackets for VIN and Amount Mismatches](https://reducto.ai/cookbooks/auto-finance-deal-jacket): Extract VINs and financed amounts from auto deal jackets, compare order, contract, and insurance records, and flag cited funding-packet discrepancies.
- [Extract Medicaid Activity Logs for Caseworker Review](https://reducto.ai/cookbooks/medicaid-activity-evidence): Extract dated Medicaid activity logs, detect duplicate or implausible hours, and prepare cited totals for caseworkers using reviewed program rules.
- [Reconcile Bankruptcy Proofs of Claim with Schedules and Invoices](https://reducto.ai/cookbooks/bankruptcy-claim-reconciliation): Extract bankruptcy proofs of claim, schedules, and invoice support, match creditors and obligations, and compare cited amounts for claims review.
- [Reconcile Music Royalty Catalogue Transfers by Work and Share](https://reducto.ai/cookbooks/royalty-catalog-transfer): Extract music catalogue transfer and relinquishment schedules, compare work IDs and shares, and flag mismatched parties, dates, or percentages.
- [Calculate Revenue Guarantee Shortfalls from Contracts and Statements](https://reducto.ai/cookbooks/revenue-share-guarantee-accrual): Extract contract guarantee rates and settlement statements, match partner and period, and calculate cited revenue shortfalls for finance review.
- [Extract Drawing Tolerances and Compare Supplier Inspection Results](https://reducto.ai/cookbooks/drawing-inspection-tolerances): Extract drawing dimensions and asymmetric tolerances, match supplier inspection records, and flag out-of-range results with cited source values.
- [Reconcile Bank Statement Balances for Benefit Redetermination](https://reducto.ai/cookbooks/benefit-redetermination-workpaper): Extract bank statement and declared balances, verify the reviewed account and reporting date, and surface cited differences for benefit caseworkers.
- [Compare Artwork Appraisals with Scheduled Insurance Values](https://reducto.ai/cookbooks/art-backed-loan-collateral): Extract artwork appraisal and scheduled insurance values, match object IDs and currencies, and compare the amounts with a reviewed value rule.
- [Compare Submitted Diagnosis Codes with Chart Evidence](https://reducto.ai/cookbooks/risk-adjustment-documentation-support): Compare submitted diagnosis codes with explicit chart codes for the same member and encounter, creating cited documentation gaps for coding review.
- [Check Clinical Trial Consent Versions, Signatures, and Dates](https://reducto.ai/cookbooks/clinical-trial-consent-version-check): Extract consent versions and signature dates, compare them with a selected site approval letter, and surface cited document discrepancies for review.
- [Automate KYC Document Refresh Checks for Identity and Expiry](https://reducto.ai/cookbooks/kyc-document-refresh): Compare identity-document names and numbers with customer profiles, check printed expiry dates, and create cited KYC refresh tasks for analysts.
- [Check Hotel Group Billing Against Contracted Room Rates](https://reducto.ai/cookbooks/hotel-event-billing): Extract hotel agreement rates and final folio charges, recompute room charges, and flag billing discrepancies with source citations for finance.
- [Extract Schedule K-1 Income and Flag Duplicate Tax Forms](https://reducto.ai/cookbooks/k1-tax-packet-ledger): Extract partnership Schedule K-1 income, detect duplicate or amended forms, and withhold totals until taxpayer and tax-year scope is resolved.
- [Extract Material Test Reports and Check Specification Limits](https://reducto.ai/cookbooks/material-test-report-validation): Extract material test report values and specification limits, match revisions and units, and flag measurements outside the stated numeric range.
- [Build a Seller Disclosure Review Checklist from PDFs](https://reducto.ai/cookbooks/seller-disclosure-review): Extract seller disclosure answers and explanations from PDFs, then apply question-specific review rules with cited property and form checks.
- [Automate Prior Authorization Intake with Cited Document Checks](https://reducto.ai/cookbooks/prior-authorization-evidence-checklist): Extract member IDs, service codes, signatures, and encounter dates to build a cited prior authorization intake checklist for clinical reviewers.
- [Reconcile Player Trade Proposals with Season Payroll](https://reducto.ai/cookbooks/player-trade-payroll-reconciliation): Compare player trade proposals with season payroll, flag salary discrepancies, and calculate proposed net movement from cited source values.
- [Reconcile Mortgage Pay Stubs with Loan Application Income](https://reducto.ai/cookbooks/mortgage-income-intake): Extract mortgage pay stub and application income with Reducto, annualize base pay, and flag borrower, employer, or income mismatches with citations.
- [Build a Grounded Chat Agent over 10-K Filings with r-1](https://reducto.ai/cookbooks/reducto-grounded-document-chat-agent-r-1): Build a grounded chat agent over Apple’s 10-K filings with r-1. Add history-aware retrieval, source citations, follow-up handling, and page-level evidence.
- [Build a Citation-Ready Knowledge Base with r-1](https://reducto.ai/cookbooks/reducto-knowledge-base-10k-with-r-1): Build a citation-ready knowledge base from Apple’s 10-K filings with r-1. Parse tables, create searchable records, filter retrieval, and refresh documents.
- [Turn a Complex 10-K into Grounded RAG with r-1](https://reducto.ai/cookbooks/reducto-turn-a-complex-10-k-into-grounded-rag-with-r-1) (2026-09-04): Build a grounded RAG pipeline for Apple’s 10-K with r-1. Learn table-aware document parsing, embedding-ready chunking, retrieval, and page-level citations.
- [Turn loss runs and insurance submissions into underwriting-ready data](https://reducto.ai/cookbooks/reducto-loss-run-report-to-underwriting-data) (2026-08-06): Loss run reports are how carriers report claims history, and every one is laid out differently across dozens of pages of dense tables. This cookbook covers how you can create an end-to-end pipeline in Reducto that turns the whole report in one call into clean, structured tables you can load straight into code.
- [Split a law review article into sections and extract any part](https://reducto.ai/cookbooks/reducto-split-law-review-article) (2026-07-01): A law review article is long and highly structured: an abstract, a table of contents, and dozens of numbered sections, often across a hundred or more pages. Pulling one piece, say the abstract, first means finding where it lives before you can read it. With Reducto you parse the whole article once, split it into its constituent parts, and then run a targeted extract against only the pages that hold what you want. Three endpoints, one pipeline: Parse turns the PDF into clean structured text, Split maps the article into its sections, and Extract pulls the exact field you asked for with citations back to the source.
- [Parse any healthcare document into clean, structured text](https://reducto.ai/cookbooks/reducto-parse-healthcare-documents) (2026-07-01): Healthcare documents are some of the messiest inputs in any pipeline. A single patient's file might include a handwritten intake form, a scanned chart with checkboxes and body diagrams, a casualty card filled out under pressure, and a lab report full of dense tables, each laid out differently and often photographed or faxed. Retyping that by hand is slow, error prone, and does not scale. Reducto parses the entire document in one call and returns it as clean, structured text, handwriting transcribed and tables preserved, so your code or your model works with the data instead of the scan.
- [Pull every field from a handwritten property loss form](https://reducto.ai/cookbooks/reducto-extract-handwritten-property-loss-forms) (2026-06-29): First notice of loss forms come in handwritten, dozens of fields packed into a tight grid with corrections scribbled over the originals. Reducto reads the handwriting, skips the crossed-out edits, and returns every field as structured JSON with a citation on each value.
- [Turn a brokerage statement into structured account data](https://reducto.ai/cookbooks/reducto-extract-brokerage-statement-accounts) (2026-06-29): Brokerage statements bury account numbers, types, and balances in dense, multi-account tables that look different at every firm. Reducto parses those tables cleanly, then returns every account as structured JSON with a citation on each value.
- [Reconcile every transaction on a bank statement](https://reducto.ai/cookbooks/reducto-extract-bank-statement-reconciliation) (2026-06-19): Bank and brokerage statements arrive as PDFs and scans that spreadsheets can't read. Reducto's Extract turns one into a clean, typed list of every transaction, ready to load into a ledger, dashboard, or audit trail.
- [Extract structured data from patient intake forms](https://reducto.ai/cookbooks/reducto-extract-patient-intake-forms) (2026-06-19): Patient intake forms arrive as scans, faxes, and phone photos, every one laid out differently. Reducto's Extract reads them the way a nurse would, pulling demographics, insurance, and medication history into clean JSON with a source citation on every field.
- [Reducto + Databricks: a friendly parsing comparison](https://reducto.ai/cookbooks/reducto-databricks-comparison) (2026-06-15): Nine real cases where Reducto's parsing and Databricks ai_parse_document diverge, from spreadsheets and charts to signatures, tracked changes, and handwriting, and why those last-mile details decide whether downstream AI lands the right answer.
- [Pull every redline from a contract](https://reducto.ai/cookbooks/reducto-parse-redlined-legal-contracts) (2026-06-15): Redlined contracts are exactly the long-tail complexity that breaks template-based pipelines. Reducto reads every strikethrough, underline, and annotation as structured tags, so your team surfaces all 500+ revisions in code instead of page by page.

## Guides

Buyer guides, comparisons, benchmarks, and technical explainers for building with Reducto. Each guide is the buyer-facing companion to the API docs topic it covers, including parsing, extraction, classification, and workflows. This is an index — fetch each URL for the full guide. The docs index is at https://docs.reducto.ai/llms.txt.

- [Human Review in Document Automation: Citations, Validation, and Audit Trails](https://reducto.ai/guides/human-review-document-automation) (2026-09-30): Learn when extracted data needs human review, how to check source citations, and what to record when someone corrects or approves a result.
- [OCR API Pricing: How to Budget for Document Parsing](https://reducto.ai/guides/document-ai-pricing-worksheet) (2026-09-25): Estimate OCR and parsing costs with Reducto’s per-page pricing, batch discounts, and a simple monthly worksheet for processing and review.
- [Spreadsheet Parsing: Extracting Reliable Data from Excel Files](https://reducto.ai/guides/spreadsheet-parsing) (2026-09-24): Learn how to parse Excel workbooks with multiple tables, formulas, hidden content, and merged headers while preserving cell-level source evidence.
- [Multi-Page Table Extraction: JSON, HTML, and Validation](https://reducto.ai/guides/multi-page-table-extraction) (2026-09-23): Learn when to merge tables across PDF pages, choose JSON or HTML output, and validate rows, totals, and source evidence before using the data.
- [Intelligent Document Processing vs OCR: What Actually Differs](https://reducto.ai/guides/idp-vs-ocr) (2026-09-22): Compare OCR with intelligent document processing, understand where their capabilities overlap, and choose the stages your document workflow actually needs.
- [Async and Batch OCR for Long Scanned PDFs](https://reducto.ai/guides/async-batch-ocr-long-pdfs) (2026-09-21): How to run long scanned PDFs through async OCR jobs: submitting work, polling or webhooks, retries, retention windows, and batch throughput planning.
- [Schema-Based Document Extraction: Custom Schemas Without Templates](https://reducto.ai/guides/schema-based-document-extraction) (2026-09-17): How to design JSON schemas for document extraction: nested objects, repeating arrays, enums, validation, and when a prebuilt model still wins.
- [Financial Statement Extraction: Balance Sheets, Income Statements, Cash Flows](https://reducto.ai/guides/financial-statement-data-extraction) (2026-09-16): How to extract balance sheet, income statement, and cash flow data with source citations and checks for signs, units, periods, and totals.
- [How to Choose a High-Volume Document Ingestion Platform](https://reducto.ai/guides/high-volume-document-ingestion) (2026-09-16): A selection framework for pipelines that run at scale: sizing pages per hour, load-testing peak batches, isolating failures, and planning cost and retention.
- [What Makes an OCR API Production-Ready?](https://reducto.ai/guides/best-ocr-api-production-document-workflows) (2026-08-27): A production-ready OCR API must do more than recognize characters. It must reliably return complete, structurally correct, verifiable output for the documents a system actually receives.
- [Reducto vs. Rossum: Which Document Platform Should You Choose?](https://reducto.ai/guides/reducto-vs-rossum) (2026-08-18): Compare Reducto and Rossum across document scope, extraction, source evidence, validation workflows, deployment, and ideal use cases.
- [Best Accounts Payable OCR Software](https://reducto.ai/guides/best-accounts-payable-ocr-software) (2026-08-18): Compare accounts payable OCR for invoice extraction, line items, source evidence, validation workflows, ERP integration, and cloud deployment.
- [Best Document Parsers for RAG](https://reducto.ai/guides/best-document-parsers-rag) (2026-08-18): Compare document parsers for production RAG across reading order, tables, layout-aware chunks, citations, cloud fit, and self-hosting.
- [Best AI Document Analysis Software](https://reducto.ai/guides/best-ai-document-analysis-software) (2026-08-18): Compare AI document analysis software for parsing, search, structured extraction, cloud-native workflows, and enterprise document review.
- [Best Receipt OCR Software and APIs](https://reducto.ai/guides/best-receipt-ocr-software) (2026-08-18): Compare receipt OCR options for AI products, cloud-native applications, expense extraction, line items, and source-grounded review.
- [Best Enterprise Data Extraction Software](https://reducto.ai/guides/best-enterprise-data-extraction-software) (2026-08-18): Compare enterprise data extraction software for long documents, complex tables, structured schemas, cloud ecosystems, and human validation.
- [Best Document Processing Tools for AI Agents](https://reducto.ai/guides/best-document-processing-tools-ai-agents) (2026-08-18): Compare document processing tools for AI agents, including parsing, extraction, source citations, agent interfaces, and enterprise deployment.
- [Best Document AI Platforms and APIs](https://reducto.ai/guides/best-document-ai-platforms-apis) (2026-08-17): Compare leading Document AI platforms and APIs for complex parsing, structured extraction, cloud-native workflows, RPA, and transactional document operations.
- [What Is Agentic Document Processing?](https://reducto.ai/guides/agentic-document-processing) (2026-08-17): Learn how agentic document processing uses iterative parsing, extraction, validation, and workflow tools to handle difficult enterprise documents.
- [Best Document Automation Software for Enterprises](https://reducto.ai/guides/best-document-automation-software-enterprises) (2026-08-17): Compare enterprise document automation software for complex extraction, cloud-native processing, transactional workflows, and governed deployment.
- [Best OCR Models in 2026: Accuracy, Speed and Cost](https://reducto.ai/guides/best-ocr-models-accuracy-speed-cost) (2026-08-14): Compare open OCR models and managed APIs by document accuracy, speed, infrastructure cost, language coverage, license, deployment and limitations.
- [Best OCR for Handwriting Recognition in 2026](https://reducto.ai/guides/best-ocr-handwriting-recognition) (2026-08-14): Compare handwriting OCR for cursive, forms, historical documents and multilingual text, including custom training, review workflows, deployment and failure modes.
- [Best Table Extraction Software for Complex PDFs in 2026](https://reducto.ai/guides/best-table-extraction-software-complex-pdfs) (2026-08-13): Compare table extraction tools for merged, nested, multi-page, scanned and irregular PDF tables, with benchmark evidence, deployment and failure modes.
- [PDF-to-Excel Tools: Enterprise Accuracy Guide for Complex Tables](https://reducto.ai/guides/pdf-to-excel-tools-enterprise-benchmark) (2026-08-13): Compare PDF-to-Excel tools for financial and operational tables using published table-parsing evidence, security, batch/API support and cleanup requirements.
- [Best PDF Data Extraction APIs and SDKs in 2026](https://reducto.ai/guides/best-pdf-data-extraction-apis-sdks) (2026-08-13): Compare developer-focused PDF extraction APIs by authentication, SDKs, async jobs, webhooks, limits, outputs, citations, security, pricing and implementation effort.
- [Which OCR Software Is Most Accurate in 2026?](https://reducto.ai/guides/most-accurate-ocr-software) (2026-08-13): OCR accuracy depends on the task. Learn how to compare character recognition, layout parsing, table extraction and structured fields using the right metrics.
- [Document AI Benchmark: OCR, Parsing and Extraction Leaderboard](https://reducto.ai/guides/document-ai-benchmark-ocr-parsing-extraction) (2026-08-13): Compare published Document AI results for complex tables and long structured extraction without collapsing incompatible tasks or hiding completion rates.
- [Best PDF OCR Software for AI Workflows in 2026](https://reducto.ai/guides/best-pdf-ocr-software-ai-workflows) (2026-08-13): Compare PDF OCR and parsing tools for RAG and agents across scans, hybrid PDFs, structure, grounding, Markdown/JSON output, deployment, batching, security, and cost.
- [Best Invoice OCR Software for Accounts Payable in 2026](https://reducto.ai/guides/best-invoice-ocr-software) (2026-08-13): Compare invoice OCR software for accounts payable across header and line-item extraction, validation, review workflows, ERP integration, controls, and invoice volume.
- [Best PDF Data Extraction Software in 2026](https://reducto.ai/guides/best-pdf-data-extraction-software) (2026-08-13): Compare PDF extraction software for native, scanned, and hybrid files across OCR, tables, forms, output formats, validation, deployment, and best-fit use cases.
- [Best AI Data Extraction Tools for Unstructured Documents in 2026](https://reducto.ai/guides/best-ai-data-extraction-tools-unstructured-documents) (2026-08-13): Compare leading AI data extraction tools for complex PDFs, scans, forms and document packets using accuracy evidence, source traceability, review workflows, integrations and pricing models.
- [Best Document Classification Software in 2026: APIs, Workflows, and Trade-Offs](https://reducto.ai/guides/best-document-classification-software-2026) (2026-07-30): Compare six document classification platforms across setup, confidence signals, workflow routing, human review, cloud fit, and production operations.
- [Best OCR APIs for Complex Documents in 2026](https://reducto.ai/guides/best-ocr-apis-complex-documents-2026) (2026-07-28): Compare six OCR APIs for complex documents across layout, tables, grounding, completion rates, cloud fit, and production workflows.
- [Document Workflow Automation: Architecture, APIs, and Production Patterns](https://reducto.ai/guides/document-workflow-automation) (2026-07-28): Learn how to build reliable document workflow automation using classification, parsing, splitting, extraction, editing, validation, and asynchronous delivery.
- [Enterprise IDP Evaluation Guide: How to Compare Document Processing Software in 2026](https://reducto.ai/guides/idp-enterprise-evaluation) (2026-02-06): Compare intelligent document processing software across accuracy, tables, citations, deployment, security, throughput, and cost with this enterprise IDP scorecard.
- [Best PDF-to-Text Tools for AI and Enterprise Workflows](https://reducto.ai/guides/pdf-to-text) (2025-06-01): Compare PDF-to-text tools for AI ingestion, complex layouts, searchable PDFs, cloud applications, and self-hosted document conversion.
- [Intelligent Document Processing in 2026: Technology, Use-Cases, and Implementation](https://reducto.ai/guides/intelligent-document-processing) (2025-06-01): Learn how intelligent document processing combines classification, OCR, parsing, extraction, validation, and routing to automate document-heavy enterprise workflows.
- [Document Parsing: Turning Unstructured Files into Reliable, Structured Data](https://reducto.ai/guides/document-parsing-unstructured-files) (2025-06-01): Learn how document parsing converts PDFs, scans, spreadsheets, and images into structured text and JSON for search, analytics, automation, and LLM workflows.
- [Data Ingestion: Moving Unstructured Content into Your Analytics Stack](https://reducto.ai/guides/data-ingestion-unstructured-content) (2025-06-01): Build a document data ingestion pipeline that turns PDFs, scans, and spreadsheets into validated, structured outputs for analytics, automation, and RAG.
- [PDF Parser — What It Is, And Why You Need One](https://reducto.ai/guides/pdf-parser) (2025-06-01): Learn what a PDF parser does, why OCR alone struggles with complex layouts, and how to evaluate parsing software for structured data, RAG, and document automation.
- [Evaluating AWS Textract for PDF Parsing - Table Extraction](https://reducto.ai/guides/evaluating-textract-for-pdf-parsing) (2024-07-01): We evaluated AWS Textract's ability to parse documents.
- [Evaluating Azure Document Intelligence for complex PDFs - Table Extraction](https://reducto.ai/guides/evaluating-azure-document-intelligence-for-pdf-parsing) (2024-07-01): We evaluated Azure Document Intelligence's ability to parse complex PDF documents.
- [Evaluating LlamaParse Premium for PDF Parsing - Table Extraction](https://reducto.ai/guides/evaluating-llamaparse-for-pdf-parsing) (2024-07-01): We evaluated LlamaParse's ability to parse complex PDF documents.
- [Evaluating Unstructured.io for PDF Parsing - Table Extraction](https://reducto.ai/guides/evaluating-unstructured-for-pdf-parsing) (2024-07-01): See how Unstructured.io's Hi-Res mode scored 60.2% average table precision in RD-TableBench versus Reducto at 90.2%, including the errors behind the gap.
- [Evaluating Google Document AI for PDF Parsing - Table Extraction](https://reducto.ai/guides/evaluating-google-document-ai-for-pdf-parsing) (2024-07-01): See how Google Document AI scored 64.6% average table precision in RD-TableBench versus Reducto at 90.2%, including the structural errors behind the gap.

## More

- Markdown content pages: https://reducto.ai/developers.md · https://reducto.ai/pricing.md · https://reducto.ai/about.md · https://reducto.ai/contact.md · https://reducto.ai/auth.md
- Engineering blog, indexed for LLMs: https://reducto.ai/engineering/llms.txt
- Sales / demos: https://reducto.ai/contact · Support: support@reducto.ai