What is Reducto AI?
Reducto AI is a document intelligence platform that parses complex unstructured documents (PDFs, spreadsheets, slides) into structured, LLM-ready data using advanced OCR and vision-language models for high accuracy.
When was Reducto AI founded?
Reducto was founded in 2023 by Adit Abraham and Raunak Chowdhuri in San Francisco.
How much funding has Reducto raised?
Reducto has raised 108 million dollars in total, including a 75 million Series B led by a16z in October 2025 and earlier rounds.
What is Reducto AI’s pricing model?
Pay-as-you-go starting at approximately 0.015 per page/credit after free 15k credits; flexible tiers with volume discounts; custom enterprise pricing.
What file types does Reducto support?
PDFs, scanned images, Excel spreadsheets, PowerPoint slides, forms, invoices, and more, including multilingual and handwritten content.
Is Reducto AI compliant for enterprise use?
Yes, SOC2 and HIPAA compliant, with features like VPC/on-prem, custom MSA/SLA, RBAC, SSO/SAML for regulated industries like finance and healthcare.
How accurate is Reducto compared to competitors?
Reducto claims superior accuracy over Google Document AI, Azure, AWS Textract on complex docs, especially tables/forms, using agentic OCR and VLMs.
Who uses Reducto AI?
Leading AI teams, startups (Harvey, Scale AI), Fortune 10 enterprises, and industries like finance, healthcare, legal processing billions of pages monthly.
Reducto AI
Most Accurate AI Document Parsing and Extraction API – Turn Complex PDFs, Spreadsheets, and Unstructured Data into LLM-Ready Structured Outputs
Last Updated: December 30, 2025
By Zelili AI
About This AI
Reducto AI is a leading AI document intelligence platform that transforms complex unstructured documents into precise, structured data optimized for large language models and retrieval-augmented generation workflows.
It combines advanced computer vision with vision-language models (VLMs) to parse documents like a human, capturing layout, structure, tables, figures, handwriting, and meaning with high accuracy.
Core APIs include Parse (layout-aware extraction), Split (intelligent chunking of multi-document files), Extract (schema-level structured data), and Edit (fill forms, tables, checkboxes dynamically without templates).
Supports PDFs, scanned images, Excel spreadsheets, PowerPoint slides, forms, invoices, financial disclosures, and multilingual documents across 100 plus languages.
Features agentic OCR for real-time corrections, intelligent heuristics for splitting, embedding optimization, figure/graph summarization, automatic page rotation, and high-accuracy handling of edge cases like low-quality scans or complex layouts.
Founded in 2023 by Adit Abraham and Raunak Chowdhuri in San Francisco, Reducto raised over 108 million dollars in funding (including 75 million Series B led by a16z in October 2025) and processes billions of pages monthly for startups to Fortune 10 enterprises.
It powers AI teams in finance, healthcare, legal, and more with SOC2 and HIPAA compliance, flexible pay-as-you-go pricing starting low per page/credit, and free credits for testing.
Reducto eliminates manual pre-processing, reduces hallucinations in RAG, and enables reliable document ingestion for any vector database or LLM pipeline.
Key Features
- Parse API: Reads documents like a human, capturing layout, structure, tables, figures, and meaning with agentic OCR for corrections
- Split API: Intelligently chunks multi-document files or long forms into useful units using layout-aware heuristics
- Extract API: Pulls structured data with schema-level precision for invoices, forms, financials, or custom fields
- Edit API: Dynamically fills blanks, tables, checkboxes without bounding boxes or templates; supports scanned/digital forms
- Multilingual support: Parses over 100 languages, including mixed-language documents
- Advanced handling: OCR for handwriting, low-quality scans, faxes; figure/graph summarization; embedding optimization
- Intelligent chunking: Layout-aware splitting and classification for LLM-ready inputs
- Automatic corrections: Real-time VLM review to fix errors and improve accuracy on edge cases
- File type coverage: PDFs, images, spreadsheets, slides, forms, and more through unified API
- Compliance and security: SOC2 and HIPAA compliant for enterprise use
Price Plans
- Free Trial ($0): 15k free credits for testing Parse, Extract, Split, Edit APIs; more available for startups/researchers
- Pay-as-you-go (From 0.015/credit per page): Flexible usage-based pricing with lower rates at higher volume; no minimum on standard
- Standard/Growth (Volume-based): Tiered plans with included pages/credits, higher rate limits, dedicated support (exact starting costs via sales)
- Enterprise (Custom): Full custom pricing with VPC/on-prem, custom MSA/SLA, RBAC, SSO/SAML, dedicated pipelines, and priority support
Pros
- Industry-leading accuracy: Combines OCR and VLMs for human-like understanding, outperforming competitors on complex docs
- Flexible pay-as-you-go pricing: Starts at low per-page/credit rates with volume discounts and free credits for testing
- Enterprise-ready: Powers Fortune 10 companies with compliance, custom pipelines, and high throughput
- Rapid growth and funding: 108 million dollars raised, processing billions of pages monthly
- No manual pre-processing: Handles messy real-world data without templates or bounding boxes
- Developer-friendly: Simple API integration for any vector DB or LLM pipeline
- Strong in regulated industries: Finance, healthcare, legal with reliable extraction
Cons
- Credit-based costs: Heavy usage requires pay-as-you-go or higher tiers; no flat unlimited mentioned
- Enterprise custom pricing: Advanced features like VPC/on-prem need sales contact
- API-focused: No consumer web UI; primarily for developers and teams
- Potential latency on large files: Complex multi-page docs may take longer despite high throughput
- Limited public user stats: No exact MAU/DAU figures released beyond page volume
- Learning curve for schema extraction: Custom structured output needs prompt/schema setup
- Dependency on model quality: Edge cases in handwriting or degraded scans may need retries
Use Cases
- RAG pipeline optimization: Convert unstructured docs to LLM-ready chunks for better retrieval accuracy
- Financial document processing: Extract data from invoices, statements, disclosures with schema precision
- Healthcare records ingestion: Parse patient forms, scans, reports compliantly for AI analysis
- Legal contract review: Structure clauses, tables, signatures from PDFs for automation
- Onboarding and forms automation: Extract/fill data from application forms, HR docs
- Enterprise search enhancement: Make internal documents searchable via structured extraction
- AI startup data pipelines: Power ingestion for custom LLMs or agents handling real-world docs
Target Audience
- AI developers and teams: Building RAG systems or LLM apps needing accurate document inputs
- Enterprise data teams: Finance, healthcare, legal sectors unlocking unstructured data
- Startups and scale-ups: Fast-growing AI companies processing high volumes of docs
- Compliance-heavy industries: Requiring SOC2/HIPAA-compliant extraction
- Research and innovators: Testing with free credits for new AI use cases
- Fortune-level enterprises: Needing custom, high-throughput pipelines
How To Use
- Sign up: Visit reducto.ai and create account for free credits/API key
- Choose API: Select Parse, Split, Extract, or Edit endpoint based on need
- Upload document: Send PDF/image/spreadsheet via API call with file or URL
- Configure options: Specify schema for extraction, language, or custom instructions
- Receive structured output: Get JSON with layout, text, tables, and extracted fields
- Integrate results: Feed into vector DB, LLM, or downstream pipeline
- Scale usage: Monitor credits; upgrade to paid for higher volume/limits
How we rated Reducto AI
- Performance: 4.8/5
- Accuracy: 4.9/5
- Features: 4.7/5
- Cost-Efficiency: 4.6/5
- Ease of Use: 4.5/5
- Customization: 4.8/5
- Data Privacy: 4.7/5
- Support: 4.6/5
- Integration: 4.7/5
- Overall Score: 4.7/5
Reducto AI integration with other tools
- Vector Databases: Optimized outputs compatible with Pinecone, Weaviate, Chroma, Qdrant for RAG pipelines
- LLM Frameworks: Direct integration with LangChain, LlamaIndex, Haystack for ingestion
- AWS Marketplace: Available for purchase and deployment via AWS with pay-as-you-go billing
- Custom Pipelines: API-first design for embedding in enterprise workflows, data lakes, or ETL processes
- Compliance Tools: SOC2/HIPAA support for regulated integrations in finance/healthcare
Best prompts optimised for Reducto AI
- N/A - Reducto AI is an API-based document parsing/extraction tool, not a generative prompt-based model like text-to-video or chat. It processes uploaded files automatically via API calls with optional schema/instructions, no manual creative prompts required.
Reducto AI sets the standard for accurate document parsing and extraction, combining OCR and VLMs to handle complex PDFs, spreadsheets, and forms with human-like precision. Its flexible API and pay-as-you-go pricing make it essential for RAG pipelines and enterprises in finance/healthcare/legal. Strong funding and billion-page scale prove reliability, though heavy use incurs costs.
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Hi Guys! We are a group of ML Engineers by profession with years of experience exploring and building AI tools, LLMs, and generative technologies. We analyze new tools not just as a user, but as someone who understands their technical depth and real-world value.We know how overwhelming these tools can be for most people, that’s why we break down complex AI concepts into simple, practical insights. Our goal is to help you discover these magical AI tools that actually save your time and make everyday work smarter, not harder.“We don’t just write about AI: We build, test and simplify it for you.”